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Mistral Large 2407
mistralai/mistral-large-2407 · mistralai · context 131 072 · in $2.00/1M · out $6.00/1M
Global Index
500
95% CI [461–538] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 400 [314–486] | 0.294 | 0.80 | 0.40 | 0.115 | 1.5s | $3.61 | |
| code | 528 [440–615] | 0.302 | 0.95 | 0.54 | 0.000 | 757ms | $2.28 | |
| instruction following | 368 [279–456] | 0.306 | 0.85 | 0.57 | 0.500 | 795ms | $0.473 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 977ms | $0.248 | |
| math | 490 [411–569] | 0.246 | 0.88 | 0.60 | 0.000 | 1.2s | $1.20 | |
| multilingual | 707 [549–864] | 0.618 | 1.00 | 0.93 | 0.077 | 1.1s | $0.311 | |
| reasoning | 306 [241–370] | 0.191 | 0.95 | 0.49 | 0.327 | 594ms | $0.436 | |
| terminal | 472 [394–550] | 0.242 | 0.95 | 0.34 | 0.000 | 902ms | $0.764 |
Every answer, every test
Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.
agentic 12/30 correct
wrongagentic.tools.ledger-v1conf 100% · 575ms · $0.002 · 194 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $731
- echo: $354
- delta: $573
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $536 from "delta" to "oscar"
2. pay $390 from "delta" to "echo"
3. pay $157 from "delta" to "echo"
4. pay $218 from "delta" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 536}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 390}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 153}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 157}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 218}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 218}}
]correctagentic.tools.triage-v1conf 100% · 616ms · $0.003 · 244 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → novak
- data → okafor
- auth → chen
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 6)
2. "records missing after import" (category: data, priority 5)
3. "SSO loop on login" (category: auth, priority 5)
4. "SSO loop on login" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]wrongagentic.tools.context-load-v1conf 100% · 2.2s · $0.008 · 129 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 (188 records, format: id|customer|region|item|qty|status):
```
1594|fulton|west|frame|51|pending
1841|ionic|north|gasket|42|paid
1413|gale|south|cable|70|pending
1516|cobalt|east|frame|61|pending
1647|gale|east|frame|25|paid
1584|dorian|south|pump|72|shipped
1751|ionic|north|frame|87|paid
1519|acme|south|valve|60|pending
1906|dorian|north|rotor|20|paid
1921|ember|north|rotor|35|shipped
1970|ionic|south|cable|11|shipped
1962|birch|south|valve|25|held
1580|dorian|west|valve|16|held
1890|dorian|north|pump|80|shipped
1464|harbor|east|sensor|49|shipped
1877|harbor|west|cable|73|paid
1811|ionic|north|rotor|91|shipped
1983|cobalt|east|cable|70|pending
1794|acme|north|gasket|11|paid
1869|gale|east|sensor|13|held
1717|dorian|north|panel|24|shipped
1264|birch|north|pump|46|pending
1882|juno|west|valve|67|shipped
1984|acme|south|valve|45|held
1629|ionic|south|gasket|34|shipped
1860|harbor|west|sensor|65|paid
1321|fulton|south|valve|32|pending
1635|gale|east|gasket|18|pending
1956|acme|east|gasket|34|shipped
1640|harbor|north|panel|13|held
1486|ionic|west|rotor|66|held
1260|birch|east|rotor|39|pending
1377|harbor|west|valve|41|paid
1942|juno|west|sensor|66|shipped
1443|fulton|south|valve|74|held
1728|birch|west|sensor|67|paid
1326|cobalt|east|gasket|72|held
1364|gale|south|gasket|64|pending
1683|ember|south|sensor|18|paid
1510|ember|north|pump|11|paid
1757|acme|north|cable|28|pending
1307|birch|east|cable|69|pending
1780|cobalt|east|cable|75|shipped
1656|gale|north|pump|57|held
1595|fulton|east|rotor|13|held
1819|dorian|south|cable|31|pending
1571|acme|south|rotor|72|shipped
1989|dorian|south|rotor|54|pending
1911|birch|east|gasket|83|pending
1436|dorian|south|gasket|51|pending
1603|juno|south|panel|50|held
1671|acme|north|rotor|68|paid
1816|ember|north|frame|59|pending
1315|birch|east|gasket|48|held
1949|dorian|south|panel|76|paid
1278|birch|west|sensor|88|pending
1349|acme|north|valve|47|held
1293|birch|east|frame|19|held
1829|fulton|south|rotor|90|pending
1774|ionic|west|panel|58|pending
1740|ember|east|cable|66|shipped
1864|ember|south|frame|77|shipped
1343|dorian|south|sensor|68|paid
1850|gale|north|rotor|10|paid
1844|ionic|north|gasket|36|held
1663|birch|north|sensor|17|paid
1419|ember|north|gasket|40|paid
1787|harbor|east|sensor|87|paid
1922|ionic|north|frame|55|pending
1360|juno|west|sensor|48|paid
1449|ionic|west|valve|36|pending
1673|ember|south|sensor|39|paid
1470|juno|north|gasket|35|pending
1308|birch|west|sensor|96|pending
1900|fulton|south|rotor|29|paid
1370|ember|north|panel|92|pending
1613|harbor|west|frame|78|pending
1901|birch|north|valve|42|shipped
1651|ionic|south|sensor|37|paid
1798|birch|north|frame|47|held
1687|ionic|north|cable|66|shipped
1623|harbor|west|rotor|76|paid
1286|birch|east|pump|72|pending
1620|ionic|east|panel|69|held
1619|harbor|west|cable|55|pending
1566|acme|east|valve|48|pending
1803|ionic|south|sensor|96|pending
1524|ember|east|panel|13|held
1927|birch|north|sensor|75|shipped
1888|harbor|west|cable|59|held
1977|harbor|east|sensor|23|held
1596|juno|north|valve|21|shipped
1592|gale|east|pump|26|held
1607|acme|east|rotor|38|paid
1965|ember|east|panel|70|pending
1452|ember|north|pump|82|paid
1551|harbor|north|rotor|93|shipped
1273|birch|east|panel|30|pending
1951|ionic|south|panel|20|held
1305|birch|east|frame|29|held
1987|birch|south|cable|38|held
1838|harbor|east|cable|81|shipped
1478|fulton|south|valve|81|held
1918|fulton|east|pump|34|pending
1347|ionic|east|frame|23|pending
1676|ionic|east|pump|48|pending
1489|gale|south|frame|94|paid
1339|cobalt|west|sensor|35|shipped
1378|fulton|north|gasket|93|pending
1537|cobalt|north|valve|52|shipped
1825|cobalt|east|rotor|79|shipped
1270|birch|east|rotor|89|held
1289|birch|west|rotor|17|pending
1366|ember|west|sensor|77|paid
1547|juno|north|gasket|92|pending
1407|acme|east|panel|20|shipped
1688|acme|south|rotor|60|held
1732|ember|north|frame|38|pending
1408|ionic|west|rotor|43|held
1586|ionic|west|sensor|79|paid
1700|birch|west|rotor|25|pending
1722|dorian|north|sensor|10|pending
1459|gale|west|panel|37|pending
1764|harbor|south|pump|26|held
1834|gale|north|panel|45|pending
1578|harbor|east|cable|28|held
1767|gale|south|rotor|79|shipped
1587|harbor|east|pump|64|shipped
1397|ember|north|rotor|68|held
1401|juno|north|valve|19|paid
1648|dorian|south|frame|56|shipped
1491|birch|south|cable|38|pending
1937|acme|west|rotor|25|pending
1561|harbor|north|valve|49|paid
1477|ember|east|pump|99|held
1462|ember|north|gasket|81|shipped
1738|ionic|north|sensor|13|shipped
1389|ionic|east|rotor|29|held
1854|acme|north|frame|36|held
1896|dorian|east|pump|70|pending
1695|gale|south|sensor|80|pending
1670|ember|west|gasket|58|held
1931|ionic|west|rotor|71|held
1929|ionic|north|rotor|66|pending
1479|juno|south|cable|56|pending
1529|juno|north|panel|71|pending
1808|harbor|east|rotor|67|paid
1428|birch|east|pump|61|shipped
1889|ionic|north|sensor|97|shipped
1707|juno|east|pump|13|shipped
1792|acme|west|cable|99|shipped
1285|birch|east|panel|13|shipped
1362|gale|north|panel|80|shipped
1429|gale|south|panel|79|shipped
1535|ionic|south|gasket|22|paid
1872|juno|south|valve|34|paid
1384|juno|west|gasket|12|held
1892|harbor|east|sensor|42|paid
1497|ember|west|frame|96|paid
1821|ionic|south|sensor|46|pending
1430|cobalt|west|gasket|35|shipped
1332|cobalt|east|pump|90|pending
1392|juno|west|sensor|17|shipped
1840|acme|north|panel|74|pending
1353|harbor|south|sensor|70|held
1743|dorian|north|rotor|65|shipped
1885|birch|west|pump|53|pending
1395|gale|south|panel|41|pending
1708|juno|south|panel|32|held
1793|gale|west|pump|48|pending
1800|fulton|west|pump|59|pending
1504|cobalt|north|sensor|75|held
1295|birch|east|cable|40|pending
1525|acme|west|panel|86|pending
1711|juno|east|rotor|34|held
1908|cobalt|west|frame|30|shipped
1520|fulton|south|sensor|62|pending
1426|juno|west|valve|57|held
1557|cobalt|south|rotor|67|pending
1299|birch|south|sensor|94|pending
1544|cobalt|north|valve|81|pending
1316|harbor|south|gasket|78|paid
1396|ember|east|pump|51|paid
1448|harbor|west|cable|49|held
1616|gale|east|panel|64|held
1403|gale|south|rotor|29|pending
1329|juno|south|rotor|48|pending
1750|fulton|east|gasket|98|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "cancel_order", "args": {"order_id": 1268}},
{"tool": "restock", "args": {"item": "pump", "qty": 72}},
{"tool": "cancel_order", "args": {"order_id": 1289}},
{"tool": "restock", "args": {"item": "rotor", "qty": 89}},
{"tool": "cancel_order", "args": {"order_id": 1307}}
]correctagentic.tools.deploy-v1conf 100% · 900ms · $0.001 · 106 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: billing, reports
- billing: auth-svc, reports
- reports: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.4s · $0.002 · 232 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: $412
- lima: $884
- alpha: $870
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $194 from "bravo" to "alpha"
2. pay $405 from "lima" to "bravo"
3. pay $484 from "bravo" to "lima"
4. pay $591 from "lima" to "bravo"
5. pay $137 from "bravo" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 194}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 405}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 187}},
{"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 484}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 172}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 591}},
{"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 137}}
]correctagentic.tools.triage-v1conf 100% · 4.3s · $0.002 · 242 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 → novak
- data → chen
- infra → okafor
INCIDENTS:
1. "cannot reset password" (category: auth, priority 2)
2. "export file corrupted" (category: data, priority 5)
3. "cannot reset password" (category: auth, priority 2)
4. "locked out after 2FA change" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "novak"}}
]wrongagentic.tools.context-load-v1conf 100% · 723ms · $0.012 · 170 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 (273 records, format: id|customer|region|item|qty|status):
```
1356|birch|south|cable|32|paid
1545|gale|west|gasket|79|paid
1674|cobalt|north|panel|94|pending
1428|acme|east|cable|30|pending
1649|dorian|east|frame|73|shipped
1257|birch|north|sensor|19|held
1383|harbor|west|frame|97|held
2070|dorian|south|rotor|84|shipped
1583|fulton|north|gasket|62|paid
1913|fulton|east|valve|52|held
1709|dorian|south|pump|45|paid
1871|ionic|east|sensor|65|pending
1207|fulton|north|sensor|48|shipped
1202|juno|east|sensor|23|held
1393|harbor|east|cable|18|pending
1345|cobalt|south|pump|83|shipped
1162|harbor|north|cable|32|pending
2154|fulton|east|gasket|70|pending
1159|harbor|east|valve|39|pending
2092|fulton|west|valve|75|paid
1539|juno|west|cable|16|held
1795|ionic|north|gasket|15|held
1857|fulton|south|valve|39|pending
2179|acme|east|panel|22|paid
1313|fulton|west|rotor|17|paid
1521|acme|north|valve|86|held
1969|birch|south|frame|29|paid
1177|harbor|west|panel|59|held
1626|gale|south|panel|14|held
2097|acme|west|valve|85|pending
1885|dorian|west|gasket|59|pending
1275|ember|south|cable|89|held
2016|birch|west|pump|93|shipped
1250|harbor|south|valve|30|paid
1942|ionic|north|frame|59|paid
1910|ionic|north|gasket|17|paid
1765|cobalt|north|sensor|23|shipped
1958|birch|west|frame|17|paid
1943|acme|east|frame|28|pending
1988|fulton|west|sensor|34|pending
1922|acme|south|sensor|57|paid
1947|harbor|east|sensor|48|pending
1838|birch|south|rotor|85|paid
1277|birch|west|gasket|97|shipped
1950|dorian|east|rotor|49|paid
1546|dorian|north|frame|27|held
1563|birch|south|pump|60|pending
1359|birch|east|gasket|52|paid
1729|fulton|west|valve|18|pending
2111|cobalt|south|gasket|38|held
1547|harbor|north|gasket|14|shipped
1607|birch|north|gasket|94|paid
1739|dorian|west|frame|90|shipped
1463|juno|south|sensor|70|shipped
2073|fulton|south|sensor|75|paid
1153|harbor|east|frame|24|pending
1982|birch|south|pump|98|paid
1963|ionic|south|frame|99|pending
2100|juno|east|cable|99|shipped
1807|ionic|east|rotor|27|paid
2061|juno|east|frame|34|pending
1989|dorian|east|cable|48|shipped
1759|ember|west|frame|84|held
1417|dorian|north|rotor|46|shipped
1604|fulton|south|frame|18|shipped
1762|birch|south|gasket|23|held
2137|ember|west|cable|30|pending
1408|dorian|west|frame|70|held
2080|gale|north|sensor|28|held
1581|fulton|west|rotor|63|held
1590|ionic|north|gasket|99|paid
1214|juno|south|cable|65|paid
2180|dorian|east|sensor|23|paid
2105|ionic|south|pump|78|pending
1410|fulton|west|panel|55|shipped
1863|cobalt|west|frame|43|paid
1854|gale|east|cable|21|shipped
1338|ionic|north|rotor|68|pending
1992|dorian|west|sensor|17|held
2052|gale|west|panel|16|held
2114|juno|west|valve|31|shipped
1137|harbor|south|rotor|98|pending
1817|ember|north|panel|99|paid
1290|birch|south|frame|55|pending
1369|cobalt|north|valve|78|held
1136|harbor|north|panel|86|pending
1553|birch|west|sensor|84|shipped
1468|birch|east|sensor|88|shipped
1637|harbor|west|valve|64|held
1242|juno|north|panel|24|pending
1171|harbor|north|panel|63|paid
1722|fulton|north|rotor|30|pending
1160|harbor|north|frame|24|paid
1594|gale|west|cable|74|pending
2059|juno|east|rotor|47|paid
2098|harbor|north|valve|28|held
1329|cobalt|west|panel|91|pending
1526|gale|west|valve|96|pending
1239|harbor|south|cable|27|pending
1823|birch|north|rotor|53|shipped
1864|acme|east|gasket|99|held
2147|acme|west|frame|36|shipped
1726|ember|west|frame|14|shipped
1312|fulton|west|gasket|62|held
1763|harbor|west|cable|41|paid
1638|cobalt|north|valve|73|shipped
2168|birch|east|frame|51|shipped
1385|juno|south|rotor|75|held
1158|harbor|north|pump|15|pending
1665|ionic|north|cable|95|held
1712|fulton|north|rotor|42|pending
2202|acme|north|gasket|92|shipped
1211|juno|east|sensor|98|shipped
1653|acme|east|valve|71|paid
1498|fulton|east|panel|67|pending
1774|dorian|east|gasket|62|held
2067|fulton|west|frame|37|shipped
2194|acme|south|gasket|96|pending
1363|gale|north|cable|84|pending
1617|acme|south|valve|64|pending
2020|birch|west|cable|17|paid
1613|ember|east|cable|67|pending
2024|fulton|west|frame|24|paid
2215|harbor|west|pump|83|paid
1141|harbor|north|frame|29|held
1814|juno|south|frame|88|pending
1956|ember|south|rotor|75|pending
1337|ember|north|sensor|52|pending
1156|harbor|north|cable|71|shipped
1305|cobalt|north|frame|78|shipped
1727|fulton|north|sensor|44|paid
1705|dorian|north|sensor|20|shipped
1496|juno|east|gasket|39|pending
1612|ionic|east|cable|44|pending
1475|harbor|west|valve|18|pending
1634|juno|east|pump|76|pending
1510|gale|north|rotor|87|paid
2056|ionic|west|sensor|72|held
1374|dorian|north|rotor|24|shipped
1568|gale|south|rotor|86|paid
1204|gale|south|cable|84|shipped
1694|birch|east|panel|39|shipped
1208|birch|west|sensor|50|shipped
1482|cobalt|east|rotor|73|held
1843|dorian|south|valve|22|held
2120|cobalt|north|valve|80|pending
1598|birch|east|valve|67|paid
1450|acme|north|frame|29|paid
1497|cobalt|south|panel|61|shipped
1688|ember|west|sensor|18|pending
2127|ionic|east|pump|65|paid
1643|fulton|north|gasket|61|held
1768|ionic|south|rotor|11|pending
2036|ionic|west|cable|94|held
1524|juno|east|panel|68|paid
2222|cobalt|east|cable|15|paid
1234|fulton|west|cable|47|paid
2146|ionic|east|frame|82|pending
2034|harbor|north|panel|88|shipped
1478|ionic|west|frame|46|shipped
1247|harbor|north|gasket|75|held
2132|harbor|north|pump|42|held
1752|ember|east|gasket|76|pending
1404|harbor|east|valve|40|held
1935|ember|west|rotor|61|shipped
1974|gale|west|sensor|18|paid
1225|fulton|west|frame|61|pending
1387|harbor|north|sensor|49|shipped
1741|gale|north|gasket|48|shipped
1226|juno|south|valve|16|pending
1221|gale|north|valve|26|paid
2086|dorian|east|sensor|94|shipped
1534|birch|east|rotor|87|paid
2027|dorian|south|gasket|15|pending
1898|juno|west|gasket|42|pending
1282|dorian|north|sensor|41|shipped
1197|gale|west|valve|21|held
2167|dorian|south|rotor|45|paid
2139|juno|east|cable|58|pending
1734|harbor|north|sensor|18|paid
2233|ionic|east|sensor|45|pending
1334|dorian|south|pump|38|paid
1667|fulton|west|pump|78|held
1355|harbor|north|pump|62|shipped
1266|dorian|west|frame|73|pending
1784|cobalt|east|pump|40|paid
1891|fulton|north|frame|39|shipped
1631|ember|north|sensor|95|pending
1492|harbor|west|valve|76|shipped
1778|birch|west|cable|29|paid
1628|fulton|south|panel|83|paid
2009|birch|north|frame|78|held
2161|harbor|south|gasket|25|shipped
1317|harbor|north|cable|61|paid
1834|juno|west|cable|43|shipped
1938|fulton|south|cable|47|shipped
1230|fulton|north|cable|60|shipped
1421|harbor|west|gasket|13|pending
1802|juno|north|panel|68|paid
1323|acme|north|panel|89|shipped
1929|birch|north|gasket|60|shipped
2173|ember|south|valve|53|shipped
1283|ember|east|frame|21|pending
1402|ionic|west|sensor|58|pending
2102|acme|east|pump|70|shipped
1978|harbor|north|valve|72|paid
1169|harbor|south|rotor|79|pending
1397|ionic|west|pump|76|shipped
1186|ember|west|frame|83|shipped
1904|juno|north|sensor|19|paid
1179|ember|south|cable|44|held
1457|ionic|north|sensor|86|pending
1701|dorian|east|sensor|11|pending
1476|juno|west|valve|61|pending
2224|fulton|east|frame|29|pending
1268|cobalt|north|sensor|63|held
1829|dorian|north|rotor|26|pending
2223|dorian|south|panel|77|paid
1380|birch|south|cable|23|paid
1644|acme|east|sensor|83|pending
1445|gale|west|gasket|99|paid
1419|ionic|north|cable|81|pending
1579|fulton|east|cable|12|held
2002|juno|north|panel|43|shipped
1322|acme|south|pump|82|paid
1932|juno|north|panel|18|shipped
1191|acme|east|pump|91|pending
1920|dorian|west|pump|17|shipped
1659|ember|south|frame|88|paid
2187|juno|east|rotor|54|held
1485|harbor|south|frame|31|pending
1366|ionic|east|panel|10|paid
1429|acme|south|sensor|54|pending
1350|dorian|east|frame|10|paid
1715|dorian|east|sensor|47|shipped
1747|juno|north|panel|42|pending
1995|ember|east|sensor|52|paid
1423|ember|west|panel|88|held
1301|acme|west|valve|97|shipped
1365|harbor|south|valve|21|paid
1878|harbor|east|pump|49|pending
1587|juno|north|valve|34|held
1147|harbor|north|pump|21|pending
1681|gale|north|cable|38|shipped
1294|gale|south|panel|92|pending
2037|ember|north|valve|77|paid
1575|gale|north|pump|86|shipped
1258|acme|south|gasket|12|held
1508|harbor|south|sensor|97|paid
1624|dorian|west|rotor|60|shipped
1514|ionic|west|panel|46|pending
1431|birch|north|gasket|32|shipped
2208|gale|south|sensor|41|held
2040|gale|west|frame|94|pending
1533|birch|north|valve|26|held
2186|dorian|east|valve|77|held
1622|dorian|north|rotor|90|held
1501|ionic|north|sensor|17|shipped
1850|dorian|south|sensor|91|shipped
1438|birch|south|gasket|97|paid
2195|juno|east|frame|45|held
1868|acme|north|frame|12|held
2230|birch|west|cable|65|held
1459|gale|east|pump|81|held
1264|acme|south|panel|39|paid
2045|juno|east|sensor|79|pending
2218|gale|south|gasket|15|pending
1905|juno|north|valve|76|pending
1174|ionic|east|frame|97|paid
2054|acme|north|panel|93|paid
1862|juno|east|gasket|73|pending
1788|gale|south|valve|85|paid
1556|cobalt|north|frame|12|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1136}},
{"tool": "restock", "args": {"item": "gasket", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1158}},
{"tool": "cancel_order", "args": {"order_id": 1317}},
{"tool": "restock", "args": {"item": "sensor", "qty": 49}},
{"tool": "cancel_order", "args": {"order_id": 1355}},
{"tool": "cancel_order", "args": {"order_id": 1421}}
]wrongagentic.tools.deploy-v1conf 100% · 442ms · $0.001 · 108 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: (none)
- gateway: auth-svc, billing
- auth-svc: billing
- reports: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1conf 100% · 643ms · $0.002 · 230 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: $421
- kilo: $813
- alpha: $204
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $472 from "kilo" to "alpha"
2. pay $543 from "alpha" to "kilo"
3. pay $514 from "kilo" to "bravo"
4. pay $587 from "kilo" to "alpha"
5. pay $407 from "bravo" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 472}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 543}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 173}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 514}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 587}},
{"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 587}},
{"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 407}}
]correctagentic.tools.triage-v1conf 100% · 694ms · $0.003 · 273 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → dubois
- payments → rivera
- data → novak
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 8)
2. "card declined at checkout" (category: payments, priority 4)
3. "dashboard shows stale numbers" (category: data, priority 5)
4. "locked out after 2FA change" (category: auth, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1conf 100% · 1.3s · $0.008 · 104 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 (193 records, format: id|customer|region|item|qty|status):
```
1538|cobalt|south|gasket|68|held
1809|acme|west|sensor|44|pending
1527|dorian|west|pump|64|paid
2001|gale|south|cable|15|shipped
1517|juno|east|pump|88|shipped
2175|dorian|east|frame|91|paid
1827|cobalt|west|cable|93|shipped
1511|fulton|north|rotor|13|pending
2164|fulton|south|rotor|81|held
1969|gale|east|valve|38|pending
1637|ember|south|sensor|64|paid
1498|dorian|east|rotor|50|paid
1641|gale|east|cable|14|held
1568|juno|east|frame|70|held
1890|birch|east|sensor|43|pending
2062|dorian|east|rotor|28|pending
2124|birch|east|panel|66|held
1615|fulton|north|cable|96|shipped
1520|juno|west|pump|32|held
2163|acme|south|cable|57|paid
1475|gale|north|gasket|90|shipped
1565|gale|south|cable|61|shipped
1694|dorian|north|frame|29|shipped
2077|fulton|east|frame|69|pending
1805|acme|south|panel|79|pending
1572|ember|north|sensor|20|pending
1912|ember|south|frame|30|pending
1786|fulton|south|rotor|34|shipped
2120|cobalt|south|rotor|11|paid
1595|birch|north|valve|21|pending
2037|ionic|east|frame|40|pending
1675|birch|north|pump|83|held
1801|ionic|south|pump|93|paid
1717|ionic|east|gasket|12|paid
1629|fulton|north|sensor|90|paid
1662|birch|north|cable|84|shipped
2078|ionic|north|valve|17|paid
1518|fulton|west|gasket|66|shipped
1767|harbor|north|sensor|75|paid
1908|harbor|west|panel|65|shipped
1943|harbor|north|panel|68|pending
1529|ember|south|panel|12|paid
1602|ember|south|panel|22|shipped
2103|gale|east|frame|39|pending
2081|dorian|west|frame|52|pending
2050|harbor|west|sensor|59|shipped
1554|acme|east|pump|45|shipped
1759|birch|north|frame|91|held
1897|juno|west|sensor|32|pending
1904|harbor|north|valve|62|paid
1754|cobalt|south|gasket|47|paid
1974|gale|east|valve|81|shipped
1773|cobalt|north|gasket|45|held
1940|fulton|south|rotor|16|paid
1784|dorian|north|sensor|90|paid
2167|ionic|south|frame|78|held
2171|acme|west|valve|92|held
2146|cobalt|north|rotor|96|pending
2139|fulton|south|frame|61|pending
1478|harbor|south|valve|59|pending
1506|cobalt|north|cable|44|pending
1558|gale|north|gasket|73|pending
1741|dorian|west|rotor|48|shipped
1619|cobalt|east|cable|52|pending
1856|harbor|north|rotor|33|pending
1846|dorian|south|frame|79|held
1880|ember|south|pump|62|paid
2058|gale|west|panel|87|held
2114|harbor|north|pump|33|paid
2040|ember|north|sensor|17|held
1926|birch|east|panel|46|pending
1578|harbor|south|pump|98|pending
1714|ember|east|sensor|59|paid
1728|fulton|west|frame|37|shipped
1547|ionic|north|cable|21|pending
2056|ember|north|sensor|98|pending
2093|ionic|south|cable|44|paid
2177|dorian|south|gasket|68|paid
1848|harbor|west|sensor|12|paid
1774|ionic|south|frame|31|pending
2035|ember|south|cable|17|held
1822|juno|north|valve|88|held
1932|birch|north|frame|67|held
1948|ionic|south|frame|56|shipped
2088|juno|north|rotor|29|held
1864|harbor|south|rotor|29|held
1992|dorian|south|panel|47|pending
2015|birch|west|sensor|69|paid
1588|gale|north|cable|26|paid
1994|birch|east|frame|96|pending
1461|acme|west|pump|18|paid
1481|acme|north|rotor|11|paid
1963|fulton|west|rotor|42|pending
1532|dorian|east|panel|15|paid
1552|fulton|west|rotor|33|paid
1609|fulton|west|panel|42|shipped
1878|gale|north|rotor|93|pending
2133|gale|north|sensor|15|shipped
1489|harbor|north|sensor|34|held
1598|juno|south|panel|99|paid
1499|ember|west|gasket|13|pending
1454|acme|east|frame|85|pending
1909|dorian|west|cable|72|paid
1449|acme|west|pump|13|held
1416|acme|west|gasket|80|pending
2030|cobalt|west|sensor|58|held
1811|cobalt|west|gasket|75|shipped
1985|birch|north|panel|50|held
2172|ember|north|frame|40|shipped
2006|birch|south|gasket|80|pending
1701|juno|south|frame|91|paid
2089|juno|north|cable|24|paid
2176|birch|south|panel|74|pending
1703|cobalt|south|panel|83|shipped
1977|cobalt|south|frame|31|paid
1654|fulton|south|pump|39|paid
2009|ionic|south|frame|16|paid
1884|fulton|south|rotor|17|held
2140|acme|east|gasket|75|paid
1710|acme|south|sensor|42|held
1685|gale|south|pump|30|shipped
2025|ember|west|gasket|61|pending
1472|gale|north|sensor|96|held
1858|cobalt|west|valve|47|shipped
2066|ionic|west|pump|49|held
1655|juno|east|frame|88|pending
2049|fulton|north|frame|52|paid
1462|gale|west|rotor|78|held
1721|gale|east|gasket|82|paid
1871|ember|north|sensor|48|pending
1633|dorian|north|frame|72|shipped
1755|ionic|west|gasket|48|pending
1817|ember|east|sensor|77|paid
1451|acme|west|pump|86|pending
1853|ionic|south|cable|83|paid
1582|ionic|north|panel|98|held
1763|cobalt|south|valve|54|paid
1491|ionic|west|valve|24|held
1976|acme|north|cable|42|shipped
2022|ember|south|pump|92|paid
1833|fulton|north|rotor|89|pending
1680|harbor|west|valve|84|held
1750|juno|west|frame|18|held
1919|cobalt|east|panel|90|paid
1806|dorian|south|cable|20|held
2156|dorian|south|rotor|55|shipped
1731|ionic|south|pump|26|paid
1682|ionic|east|sensor|49|paid
1544|harbor|west|cable|69|held
1486|birch|west|pump|31|shipped
2116|harbor|east|gasket|45|shipped
2165|juno|north|valve|24|held
1824|dorian|east|pump|59|shipped
1952|ember|north|gasket|23|held
1730|acme|north|sensor|24|shipped
1669|dorian|west|gasket|70|paid
1788|gale|south|rotor|31|pending
1981|ionic|east|gasket|85|shipped
1781|cobalt|north|pump|87|pending
2043|harbor|south|pump|87|paid
1428|acme|west|sensor|33|shipped
1825|cobalt|east|cable|18|paid
1691|acme|east|rotor|29|shipped
1735|ember|south|rotor|13|pending
1581|ember|north|valve|91|shipped
2131|birch|east|gasket|60|pending
1832|harbor|south|gasket|62|pending
1495|cobalt|south|sensor|43|shipped
1648|ionic|west|cable|71|paid
1955|birch|south|gasket|31|pending
1885|fulton|south|cable|35|shipped
2151|ember|east|rotor|34|shipped
2021|acme|south|pump|58|held
1839|ionic|south|sensor|92|shipped
1500|dorian|south|panel|94|held
2112|cobalt|east|pump|82|shipped
1957|birch|west|sensor|47|paid
2100|dorian|north|rotor|74|paid
1795|harbor|south|panel|55|pending
1748|ember|east|frame|83|paid
1435|acme|west|sensor|77|pending
1421|acme|east|rotor|33|pending
1830|ionic|west|sensor|30|shipped
1752|ionic|west|pump|98|pending
2073|dorian|south|panel|93|paid
1626|dorian|south|panel|31|shipped
1937|harbor|west|cable|48|pending
1442|acme|south|sensor|79|pending
1467|juno|south|pump|91|held
1666|gale|north|panel|44|held
2106|birch|north|panel|87|held
1576|harbor|east|rotor|44|held
2178|dorian|east|panel|60|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1416}},
{"tool": "restock", "args": {"item": "pump", "qty": 86}},
{"tool": "cancel_order", "args": {"order_id": 1435}},
{"tool": "cancel_order", "args": {"order_id": 1451}}
]correctagentic.tools.deploy-v1conf 100% · 904ms · $0.001 · 108 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: search
- gateway: auth-svc
- search: (none)
- billing: auth-svc, 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": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]wrongagentic.tools.ledger-v1conf 100% · 2.2s · $0.002 · 173 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: $540
- bravo: $777
- kilo: $796
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $423 from "bravo" to "kilo"
2. pay $406 from "lima" to "kilo"
3. pay $288 from "lima" to "kilo"
4. pay $232 from "lima" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 423}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 406}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 269}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 288}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 232}}
]correctagentic.tools.triage-v1conf 100% · 1.6s · $0.003 · 245 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 → rivera
- payments → dubois
- data → haddad
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "refund double-charged" (category: payments, priority 3)
3. "export file corrupted" (category: data, priority 5)
4. "export file corrupted" (category: data, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]wrongagentic.tools.context-load-v1conf 100% · 633ms · $0.008 · 110 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 (173 records, format: id|customer|region|item|qty|status):
```
1390|fulton|west|valve|17|shipped
1543|harbor|north|rotor|16|pending
1504|birch|south|cable|72|pending
1382|birch|north|cable|62|held
1448|acme|east|gasket|26|held
1687|cobalt|north|pump|30|pending
1579|birch|west|panel|58|shipped
1331|ionic|east|cable|72|pending
1999|harbor|west|sensor|90|shipped
1708|ionic|north|valve|50|pending
1717|fulton|south|valve|79|paid
2004|birch|north|gasket|98|shipped
1431|ember|east|cable|23|shipped
1405|cobalt|north|panel|72|held
1421|birch|east|pump|64|paid
1681|gale|east|panel|79|pending
1922|gale|west|frame|24|shipped
1628|harbor|east|cable|19|pending
1534|ember|west|valve|15|shipped
1398|birch|south|panel|47|pending
1458|birch|west|valve|39|paid
1806|harbor|east|pump|57|held
1973|ionic|south|panel|53|pending
1513|acme|east|valve|10|shipped
1363|ionic|north|frame|53|shipped
1700|fulton|west|rotor|26|shipped
1343|ionic|east|frame|33|pending
1587|gale|east|panel|81|paid
1327|ionic|north|frame|15|pending
1847|gale|west|sensor|82|pending
1482|ionic|west|gasket|58|pending
1357|ionic|east|gasket|50|pending
1987|gale|north|valve|43|pending
1824|fulton|south|frame|61|held
1779|acme|south|cable|56|held
1769|birch|west|frame|16|pending
1930|acme|west|valve|87|held
1338|ionic|north|sensor|72|paid
1560|cobalt|south|pump|17|paid
1669|cobalt|east|valve|25|paid
1636|fulton|south|frame|77|paid
1874|cobalt|west|valve|89|pending
1841|harbor|north|panel|88|paid
1730|harbor|east|cable|29|pending
1526|birch|east|valve|49|paid
1385|gale|north|pump|89|paid
1594|gale|north|frame|66|shipped
1549|juno|east|cable|21|shipped
1555|cobalt|west|sensor|76|held
1817|acme|west|sensor|92|pending
1945|dorian|east|rotor|31|paid
1419|dorian|east|valve|77|paid
1356|ionic|north|sensor|70|pending
1520|gale|north|rotor|92|held
1915|fulton|north|rotor|82|shipped
1497|ionic|east|cable|90|shipped
1846|gale|west|pump|73|shipped
1832|juno|north|frame|98|pending
1415|ionic|east|rotor|22|paid
1948|ember|west|sensor|69|pending
1844|acme|east|sensor|29|pending
1372|ionic|east|panel|39|pending
1720|cobalt|west|gasket|94|paid
1492|acme|north|gasket|45|held
1464|harbor|north|sensor|81|shipped
1960|birch|south|valve|91|shipped
1487|birch|north|gasket|47|paid
1737|acme|south|cable|91|held
1782|fulton|west|pump|82|pending
1539|cobalt|north|frame|75|pending
1518|juno|east|panel|19|shipped
1937|cobalt|south|cable|30|pending
1407|harbor|east|panel|70|held
1744|juno|west|frame|42|held
1650|birch|west|gasket|73|held
1566|birch|south|panel|74|pending
1990|fulton|south|panel|31|held
1659|ember|east|panel|24|pending
1577|fulton|east|pump|36|shipped
1629|dorian|south|sensor|67|pending
1966|juno|north|frame|78|pending
1899|acme|south|panel|60|shipped
1466|ionic|east|gasket|14|paid
1544|acme|south|frame|98|paid
1676|ember|south|pump|20|shipped
1878|harbor|south|pump|81|held
1565|fulton|east|frame|87|shipped
1798|ember|south|frame|67|shipped
1994|birch|south|frame|76|shipped
1939|harbor|north|sensor|90|held
1714|acme|east|panel|29|shipped
1383|juno|north|rotor|10|held
1791|dorian|east|cable|96|held
1610|ionic|north|panel|42|held
1883|cobalt|south|panel|66|pending
1570|fulton|west|panel|11|pending
1589|harbor|east|gasket|28|held
1646|cobalt|north|frame|78|held
1688|juno|west|panel|21|pending
1649|birch|north|sensor|14|shipped
1813|ionic|east|panel|93|shipped
1855|harbor|west|pump|73|held
1926|cobalt|north|frame|93|held
1895|cobalt|west|frame|55|held
1529|ember|north|rotor|20|shipped
1554|birch|west|gasket|35|pending
1340|ionic|north|frame|86|pending
1739|gale|south|frame|66|pending
1469|ember|north|gasket|89|pending
1825|ember|south|panel|60|shipped
1440|cobalt|east|panel|54|shipped
1379|ionic|north|cable|91|paid
1530|ionic|west|frame|46|pending
1788|ionic|east|cable|14|shipped
1438|cobalt|south|sensor|19|held
1640|acme|north|sensor|87|shipped
1656|ionic|west|rotor|16|held
1582|ionic|west|frame|98|held
1956|juno|south|rotor|41|held
1664|cobalt|south|gasket|45|pending
1970|ember|north|cable|46|pending
1774|fulton|east|gasket|99|paid
1593|cobalt|east|panel|71|held
1707|harbor|north|rotor|89|held
1978|fulton|east|valve|74|shipped
1910|ionic|east|rotor|40|pending
1451|harbor|south|valve|36|shipped
1429|birch|south|pump|26|pending
1478|cobalt|east|frame|24|paid
1498|juno|north|valve|23|held
1951|gale|north|sensor|15|shipped
1868|harbor|west|gasket|89|held
1635|birch|east|pump|90|pending
1557|dorian|north|rotor|43|paid
1997|dorian|east|frame|27|held
1595|cobalt|east|panel|65|held
1750|fulton|south|pump|85|held
1424|fulton|east|frame|16|pending
1864|birch|south|sensor|86|shipped
1445|gale|north|frame|45|paid
1369|ionic|north|valve|84|pending
1651|gale|north|gasket|92|shipped
1474|ionic|south|valve|26|shipped
1873|acme|north|frame|98|shipped
1904|gale|west|valve|12|shipped
1409|cobalt|west|sensor|36|pending
1349|ionic|north|panel|85|paid
1898|harbor|east|cable|65|paid
1623|harbor|west|cable|67|shipped
1396|birch|south|rotor|58|held
1603|harbor|south|rotor|45|paid
1694|dorian|north|sensor|65|pending
1860|acme|west|gasket|57|paid
1838|dorian|south|rotor|48|held
1929|ember|north|sensor|31|shipped
1889|acme|north|panel|48|held
1981|ionic|south|gasket|31|pending
1757|birch|south|gasket|57|paid
1581|harbor|south|gasket|76|pending
1763|acme|south|cable|15|pending
1596|birch|east|cable|99|shipped
1723|acme|east|valve|77|shipped
1799|birch|east|panel|68|shipped
1913|gale|west|panel|90|pending
1784|ionic|north|cable|55|pending
1964|ionic|north|cable|41|shipped
1903|birch|east|cable|51|pending
1562|birch|south|frame|77|shipped
1738|fulton|north|pump|90|shipped
1616|acme|west|rotor|18|pending
1854|juno|east|panel|51|pending
1509|juno|south|frame|40|held
1916|ionic|south|valve|66|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1356}},
{"tool": "restock", "args": {"item": "cable", "qty": 91}},
{"tool": "restock", "args": {"item": "panel", "qty": 85}},
{"tool": "restock", "args": {"item": "frame", "qty": 86}}
]wrongagentic.tools.ledger-v1conf 100% · 1.5s · $0.002 · 197 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: $222
- alpha: $250
- kilo: $777
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $107 from "kilo" to "alpha"
2. pay $87 from "kilo" to "delta"
3. pay $575 from "delta" to "alpha"
4. pay $220 from "kilo" to "alpha"
5. pay $323 from "alpha" 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": "kilo", "to": "alpha", "amount": 107}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 87}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 368}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 575}},
{"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 220}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 323}}
]correctagentic.tools.deploy-v1conf 100% · 755ms · $0.001 · 109 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, notifier
- auth-svc: billing
- billing: (none)
- notifier: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1conf 100% · 1.2s · $0.002 · 189 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → haddad
- data → okafor
- payments → novak
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 6)
2. "records missing after import" (category: data, priority 5)
3. "records missing after import" (category: data, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]wrongagentic.tools.context-load-v1conf 100% · 1.7s · $0.012 · 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 (292 records, format: id|customer|region|item|qty|status):
```
1470|ember|north|panel|75|held
1912|harbor|south|panel|56|shipped
1715|gale|south|rotor|38|shipped
2018|ember|north|rotor|96|held
2119|ember|south|panel|74|shipped
1863|acme|east|gasket|50|pending
1935|harbor|east|sensor|20|pending
2211|dorian|west|gasket|64|paid
1238|ionic|west|sensor|78|shipped
1210|ember|north|pump|50|paid
1643|harbor|east|sensor|30|held
1726|harbor|west|panel|89|held
1289|birch|east|pump|74|shipped
1228|ionic|west|cable|92|pending
1602|acme|south|sensor|90|held
1582|ionic|west|panel|64|pending
1386|gale|south|panel|68|held
1992|juno|north|frame|29|held
1217|cobalt|west|panel|59|paid
1441|ionic|north|sensor|83|shipped
1281|dorian|south|valve|54|pending
1391|dorian|south|rotor|82|pending
1586|acme|north|pump|94|pending
1438|cobalt|west|frame|78|held
1675|gale|north|pump|28|pending
2007|ember|north|panel|19|held
2025|dorian|west|frame|94|shipped
2084|acme|north|cable|89|pending
1359|fulton|west|frame|95|pending
1705|ionic|east|panel|50|held
1793|birch|north|valve|95|pending
1135|ionic|west|pump|41|pending
2159|fulton|east|frame|58|shipped
1649|ember|west|valve|71|held
1229|acme|west|cable|83|paid
1849|birch|east|panel|32|shipped
1553|dorian|south|gasket|70|pending
1232|juno|south|pump|89|paid
1145|juno|east|panel|34|pending
2010|gale|east|sensor|33|paid
2039|harbor|east|cable|23|shipped
1896|acme|east|frame|79|shipped
1116|dorian|east|pump|44|held
1404|cobalt|west|frame|36|shipped
2215|dorian|north|pump|90|held
1251|ember|south|gasket|27|pending
2256|birch|south|valve|76|shipped
2101|cobalt|west|sensor|68|paid
1724|cobalt|north|gasket|65|pending
2129|cobalt|north|valve|25|pending
1975|gale|east|valve|45|pending
1695|acme|east|panel|33|pending
2139|harbor|north|frame|85|shipped
1899|dorian|south|sensor|65|shipped
1180|birch|west|valve|89|held
1373|cobalt|west|rotor|96|held
1770|juno|west|gasket|15|paid
2221|juno|north|panel|16|paid
2004|harbor|west|gasket|58|paid
1627|gale|west|rotor|33|held
1115|cobalt|west|panel|53|paid
1158|birch|south|valve|60|paid
1340|acme|east|panel|95|paid
2081|ember|east|cable|30|pending
1122|fulton|west|valve|34|pending
1730|juno|west|rotor|93|pending
1634|fulton|north|frame|89|shipped
1321|dorian|south|valve|68|paid
1891|ionic|east|panel|26|held
1639|cobalt|south|gasket|62|pending
2099|ember|east|cable|32|held
1999|gale|south|gasket|93|shipped
1212|fulton|east|sensor|21|paid
1922|harbor|south|valve|11|paid
1546|gale|west|rotor|35|held
1093|ember|west|rotor|15|paid
1739|fulton|west|sensor|29|paid
1685|ember|west|gasket|93|paid
1268|ember|north|cable|15|pending
1241|acme|east|rotor|32|held
1263|ember|south|rotor|95|held
2054|acme|north|frame|83|paid
1613|ionic|east|valve|47|held
2136|ember|north|valve|23|shipped
1843|harbor|north|rotor|36|paid
2122|acme|east|sensor|53|shipped
1171|ionic|north|gasket|33|pending
1247|fulton|north|panel|31|shipped
1256|gale|north|pump|19|held
1428|ember|west|gasket|57|pending
1956|harbor|north|sensor|67|pending
1154|cobalt|west|valve|51|pending
1344|birch|south|sensor|71|held
1979|fulton|west|pump|16|paid
1315|juno|east|gasket|32|held
1592|harbor|north|panel|66|paid
1310|juno|south|gasket|43|paid
1406|ionic|west|gasket|53|pending
1932|birch|east|frame|20|shipped
1513|harbor|west|rotor|61|shipped
1741|acme|east|sensor|25|shipped
1498|dorian|east|sensor|81|held
1711|ember|west|panel|41|shipped
1198|birch|south|sensor|88|pending
2011|birch|north|rotor|93|held
1181|cobalt|north|panel|24|paid
1522|ionic|west|sensor|84|paid
1277|cobalt|north|frame|16|held
2113|ionic|south|pump|51|held
1350|gale|west|valve|56|paid
1163|dorian|north|gasket|66|pending
2248|birch|west|gasket|12|paid
2091|ember|west|cable|52|held
1874|acme|east|cable|49|held
1250|cobalt|south|sensor|99|held
1821|dorian|north|gasket|17|pending
1836|harbor|east|valve|81|held
1068|juno|east|pump|92|pending
1091|juno|east|rotor|40|paid
2046|harbor|south|rotor|38|held
1525|acme|south|gasket|97|pending
1383|acme|north|valve|45|paid
1940|gale|west|pump|54|pending
1985|fulton|east|rotor|97|pending
1681|dorian|east|cable|48|shipped
1746|ember|south|valve|29|held
1518|ionic|west|pump|82|shipped
1814|gale|east|panel|33|paid
2264|harbor|north|sensor|56|shipped
1393|ember|north|valve|91|held
1552|dorian|west|sensor|53|paid
2225|birch|north|panel|62|pending
1482|ember|east|frame|49|paid
1540|birch|north|pump|17|pending
1915|acme|east|pump|16|pending
2060|acme|east|cable|83|pending
1867|juno|west|valve|92|pending
1478|birch|west|pump|11|pending
1829|dorian|north|sensor|52|held
1722|juno|west|rotor|89|held
2059|birch|south|pump|29|held
1838|ember|north|frame|39|pending
1512|birch|north|valve|69|pending
1273|juno|east|valve|55|shipped
2163|gale|north|frame|25|pending
1433|dorian|west|rotor|52|pending
1174|ember|west|pump|11|paid
1797|gale|north|panel|43|pending
2109|ionic|east|frame|26|paid
1454|cobalt|south|pump|34|paid
2262|ionic|east|rotor|32|paid
1204|harbor|west|rotor|48|paid
1463|acme|south|frame|44|held
2024|ionic|west|gasket|32|pending
1416|ionic|west|pump|63|held
1333|dorian|east|panel|26|paid
1969|birch|east|frame|38|held
1270|ionic|north|frame|29|held
1823|ember|west|frame|62|held
1305|birch|west|valve|63|pending
1560|gale|west|sensor|79|shipped
1312|fulton|south|sensor|47|held
1294|gale|north|frame|87|pending
1141|fulton|east|valve|57|pending
1376|ember|east|cable|88|pending
2199|ionic|east|pump|71|pending
2083|dorian|south|rotor|28|paid
2104|harbor|east|rotor|65|shipped
2170|cobalt|east|panel|54|shipped
1063|juno|east|sensor|68|paid
1701|ember|south|valve|39|held
1449|acme|north|valve|57|shipped
1766|acme|north|cable|12|shipped
1803|ember|west|cable|44|paid
2253|juno|west|pump|24|paid
1953|harbor|west|panel|18|paid
2245|dorian|north|gasket|42|held
1508|cobalt|south|rotor|88|paid
1672|juno|south|rotor|81|held
1660|acme|north|rotor|61|shipped
2097|dorian|south|pump|97|pending
2175|cobalt|north|rotor|45|paid
2130|dorian|south|panel|14|paid
1961|juno|north|valve|58|pending
1326|harbor|east|gasket|73|pending
1866|birch|north|sensor|18|shipped
2219|harbor|south|rotor|15|held
2187|gale|east|valve|86|held
1858|ember|north|rotor|77|paid
1901|dorian|east|frame|49|shipped
1323|gale|west|frame|75|held
1060|juno|south|gasket|82|pending
1595|ionic|west|frame|80|held
2047|acme|north|frame|59|pending
2204|dorian|east|cable|76|paid
2036|fulton|south|cable|39|shipped
1071|juno|south|rotor|57|pending
1366|fulton|east|panel|87|paid
1946|gale|south|valve|26|pending
1103|ionic|west|gasket|11|paid
1692|birch|east|valve|21|held
2195|cobalt|south|valve|85|shipped
1929|juno|south|pump|45|shipped
1575|cobalt|east|gasket|97|held
1110|cobalt|west|pump|63|pending
1285|harbor|north|valve|24|held
1493|dorian|west|cable|40|paid
1570|birch|north|cable|93|shipped
1354|gale|north|sensor|53|shipped
1882|birch|east|panel|64|pending
1483|harbor|south|pump|72|pending
2235|acme|north|rotor|54|paid
1446|harbor|south|frame|46|paid
1375|cobalt|east|pump|12|pending
1208|dorian|south|pump|54|pending
1221|dorian|south|sensor|38|paid
1777|harbor|west|pump|73|pending
1139|gale|north|rotor|12|held
2190|acme|east|frame|57|pending
1059|juno|east|gasket|65|pending
1265|cobalt|west|pump|58|paid
2240|fulton|west|valve|27|pending
1186|gale|south|pump|58|held
1299|gale|east|panel|39|pending
1733|fulton|north|rotor|70|held
1345|fulton|north|pump|79|held
1476|gale|north|panel|58|paid
1147|dorian|east|pump|23|held
2208|cobalt|north|pump|73|pending
1193|juno|south|gasket|40|held
1465|acme|east|sensor|83|held
1571|ionic|south|valve|97|paid
1421|harbor|north|gasket|62|pending
1877|birch|south|gasket|13|paid
1626|juno|west|sensor|31|paid
1532|harbor|east|panel|99|pending
1662|harbor|west|gasket|27|pending
2048|cobalt|east|gasket|38|held
2152|cobalt|east|pump|69|pending
1457|cobalt|south|rotor|60|held
1075|juno|east|panel|98|paid
1757|acme|north|panel|67|pending
1269|ember|south|pump|35|pending
1378|gale|south|gasket|70|pending
1503|juno|east|gasket|61|pending
1656|gale|east|valve|54|shipped
1496|fulton|east|cable|62|held
1951|ember|north|sensor|34|paid
2181|dorian|west|frame|70|held
1539|harbor|north|rotor|90|held
1096|cobalt|east|valve|61|pending
1085|juno|south|valve|95|pending
2230|cobalt|south|panel|92|held
1565|gale|south|gasket|74|pending
1652|cobalt|north|frame|72|pending
1307|ionic|east|valve|88|paid
1166|harbor|north|gasket|65|pending
2074|gale|west|panel|40|held
2062|fulton|west|frame|97|shipped
2065|juno|north|cable|23|held
2147|birch|north|pump|51|held
2067|birch|north|gasket|29|held
1608|juno|south|cable|38|held
2244|birch|east|cable|89|pending
1432|gale|south|gasket|96|shipped
1842|dorian|south|pump|63|shipped
2032|fulton|west|frame|58|paid
2073|gale|north|frame|83|shipped
1763|dorian|east|frame|46|held
1128|ember|east|sensor|32|pending
2142|juno|west|cable|47|shipped
1809|gale|north|sensor|94|held
1619|juno|west|panel|90|held
1887|gale|east|cable|37|paid
1905|cobalt|south|sensor|62|shipped
1297|ionic|east|gasket|98|held
1258|birch|south|panel|21|pending
1854|ionic|west|valve|12|pending
1786|ionic|north|sensor|29|held
1664|gale|east|frame|36|held
1079|juno|east|sensor|80|pending
1527|cobalt|east|pump|91|shipped
1488|juno|north|gasket|89|paid
1399|acme|east|gasket|68|shipped
1669|harbor|south|sensor|74|shipped
1409|acme|north|pump|62|shipped
1780|acme|south|sensor|43|paid
1642|dorian|west|gasket|39|paid
2228|birch|north|valve|95|held
1966|acme|south|gasket|87|shipped
1751|dorian|north|sensor|20|shipped
1892|juno|north|cable|34|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 92}},
{"tool": "restock", "args": {"item": "sensor", "qty": 68}},
{"tool": "cancel_order", "args": {"order_id": 1059}}
]wrongagentic.tools.ledger-v1conf 100% · 2.8s · $0.002 · 226 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: $524
- tango: $536
- alpha: $255
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $250 from "tango" to "delta"
2. pay $369 from "tango" to "alpha"
3. pay $407 from "alpha" to "delta"
4. pay $445 from "alpha" to "tango"
5. pay $294 from "delta" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 250}},
{"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 369}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 114}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 407}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 445}},
{"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 445}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 294}}
]wrongagentic.tools.deploy-v1conf 100% · 1.5s · $0.001 · 109 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: reports
- billing: (none)
- auth-svc: billing, reports
- reports: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}}
]correctagentic.tools.triage-v1conf 100% · 2.0s · $0.002 · 238 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → dubois
- infra → silva
- auth → tanaka
INCIDENTS:
1. "records missing after import" (category: data, priority 9)
2. "records missing after import" (category: data, priority 9)
3. "locked out after 2FA change" (category: auth, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}
]wrongagentic.tools.context-load-v1conf 100% · 2.5s · $0.006 · 154 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (122 records, format: id|customer|region|item|qty|status):
```
1141|juno|east|valve|76|paid
1408|ionic|south|valve|49|shipped
1434|fulton|west|frame|89|held
1332|dorian|east|panel|84|pending
1432|harbor|north|pump|78|shipped
1151|acme|north|frame|16|shipped
1105|birch|north|valve|77|pending
1511|fulton|south|rotor|80|pending
1236|dorian|west|gasket|84|paid
1321|dorian|east|sensor|66|held
1290|gale|north|pump|20|held
1482|ionic|north|pump|55|shipped
1562|fulton|south|sensor|43|pending
1216|ember|west|pump|67|shipped
1563|gale|west|cable|64|pending
1421|cobalt|west|gasket|12|paid
1339|birch|west|cable|45|pending
1173|harbor|north|panel|81|paid
1361|acme|south|cable|11|pending
1185|birch|north|rotor|71|pending
1126|birch|north|valve|49|shipped
1318|gale|north|pump|42|held
1545|birch|north|gasket|94|paid
1277|ionic|north|pump|26|held
1401|cobalt|west|rotor|48|pending
1326|ember|west|valve|11|shipped
1459|fulton|south|panel|91|shipped
1551|juno|west|valve|31|pending
1112|birch|south|rotor|71|pending
1431|cobalt|north|rotor|58|shipped
1550|ember|north|gasket|55|paid
1104|birch|north|gasket|45|shipped
1119|birch|north|cable|69|pending
1549|dorian|west|frame|78|held
1458|acme|north|valve|21|shipped
1495|ionic|east|valve|58|pending
1199|juno|north|rotor|80|paid
1533|acme|east|frame|67|shipped
1426|fulton|north|valve|44|pending
1433|juno|east|valve|58|held
1233|ember|east|gasket|91|held
1569|fulton|south|pump|42|paid
1174|gale|south|cable|56|pending
1468|cobalt|east|pump|83|pending
1556|birch|east|cable|86|shipped
1506|ember|west|panel|48|held
1171|dorian|west|pump|63|pending
1521|harbor|north|sensor|13|pending
1095|birch|north|valve|76|pending
1257|juno|east|rotor|24|shipped
1301|acme|north|gasket|25|pending
1295|harbor|west|frame|54|pending
1447|birch|east|gasket|92|held
1258|cobalt|east|gasket|36|paid
1148|gale|north|frame|72|held
1180|dorian|east|cable|36|held
1158|gale|east|rotor|89|held
1398|harbor|west|frame|93|shipped
1270|ionic|south|valve|78|paid
1306|acme|west|sensor|73|held
1097|birch|west|rotor|81|pending
1187|ionic|south|pump|49|paid
1465|ember|south|pump|74|paid
1250|juno|east|valve|88|paid
1427|ember|west|frame|34|pending
1435|juno|south|sensor|81|paid
1539|fulton|south|cable|57|paid
1370|ionic|south|rotor|85|paid
1415|acme|north|gasket|54|pending
1210|ember|west|gasket|98|held
1389|birch|east|panel|59|paid
1312|fulton|north|gasket|15|held
1528|ember|east|rotor|13|shipped
1282|gale|north|sensor|95|shipped
1136|birch|west|valve|54|pending
1384|juno|south|valve|34|paid
1472|juno|north|panel|43|pending
1414|cobalt|east|gasket|91|paid
1137|birch|north|cable|87|paid
1430|birch|west|sensor|96|held
1350|cobalt|west|valve|67|held
1377|dorian|west|sensor|10|pending
1520|ember|north|sensor|91|shipped
1496|ionic|west|sensor|25|paid
1344|gale|south|gasket|97|pending
1366|harbor|east|panel|33|shipped
1452|cobalt|north|valve|15|paid
1319|ionic|west|sensor|99|held
1299|acme|north|sensor|93|pending
1163|acme|west|cable|88|held
1146|dorian|east|valve|44|held
1201|birch|south|panel|76|shipped
1442|fulton|south|panel|18|shipped
1287|birch|north|sensor|65|pending
1169|birch|west|cable|52|pending
1393|harbor|north|gasket|71|paid
1466|juno|south|panel|41|shipped
1207|cobalt|south|rotor|21|paid
1267|cobalt|north|frame|82|paid
1501|gale|east|pump|87|paid
1192|ember|south|frame|97|paid
1449|juno|east|cable|82|pending
1246|gale|north|panel|86|shipped
1223|harbor|north|cable|55|shipped
1412|ember|north|gasket|25|paid
1133|birch|north|cable|94|pending
1113|birch|north|cable|18|paid
1259|harbor|east|gasket|10|pending
1214|cobalt|east|cable|87|shipped
1123|birch|south|gasket|23|pending
1260|harbor|west|pump|24|paid
1516|juno|west|valve|71|shipped
1460|ember|west|sensor|77|held
1241|birch|north|rotor|80|paid
1573|fulton|south|frame|92|held
1489|dorian|south|panel|39|pending
1579|juno|east|frame|49|shipped
1477|ember|south|rotor|38|paid
1561|gale|west|panel|61|pending
1354|ember|north|frame|13|paid
1228|fulton|west|valve|11|pending
1543|harbor|south|rotor|89|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "cable", "qty": 69}},
{"tool": "restock", "args": {"item": "cable", "qty": 94}},
{"tool": "cancel_order", "args": {"order_id": 1105}},
{"tool": "cancel_order", "args": {"order_id": 1185}},
{"tool": "restock", "args": {"item": "gasket", "qty": 94}},
{"tool": "cancel_order", "args": {"order_id": 1287}}
]wrongagentic.tools.deploy-v1conf 95% · 1.9s · $0.002 · 165 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: billing
- billing: (none)
- notifier: auth-svc, billing
- gateway: notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.8s · $0.002 · 228 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: $531
- echo: $565
- kilo: $192
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $482 from "kilo" to "bravo"
2. pay $238 from "kilo" to "echo"
3. pay $208 from "echo" to "kilo"
4. pay $310 from "echo" to "kilo"
5. pay $173 from "echo" 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": "kilo", "to": "bravo", "amount": 482}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 290}},
{"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 238}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 208}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 310}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 81}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 173}}
]correctagentic.tools.triage-v1conf 100% · 442ms · $0.002 · 212 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 → haddad
- data → dubois
- infra → tanaka
INCIDENTS:
1. "cannot reset password" (category: auth, priority 9)
2. "records missing after import" (category: data, priority 8)
3. "records missing after import" (category: data, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.deploy-v1anchorconf 100% · 3.9s · $0.001 · 108 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.context-load-v1anchorconf 100% · 1.1s · $0.008 · 133 tok
model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "restock", "args": {"item": "rotor", "args": 75}},
{"tool": "cancel_order", "args": {"order_id": 1578}},
{"tool": "restock", "args": {"item": "valve", "qty": 67}}
]correctagentic.tools.triage-v1anchorconf 100% · 2.3s · $0.003 · 265 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 2.3s · $0.002 · 226 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 33}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 16/30 correct
correctcode.trace.nested-v1conf 100% · 512ms · $0.007 · 1156 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 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:
385correctcode.trace.js-v1conf 100% · 3.1s · $0.000 · 18 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7]; 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:
56correctcode.trace.nested-v1conf 100% · 757ms · $0.004 · 621 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
145wrongcode.trace.python-v1conf 100% · 995ms · $0.000 · 18 tok
question
What does this Python program print?
```python
total = 0
v = 5
while total + v <= 96:
if v % 5 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
48wrongcode.trace.js-v1conf 100% · 477ms · $0.000 · 19 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
204correctcode.trace.python-v1conf 100% · 773ms · $0.000 · 18 tok
question
What does this Python program print?
```python
total = 0
v = 12
while total + v <= 93:
if v % 7 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.js-v1conf 100% · 1.8s · $0.000 · 18 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
20correctcode.trace.nested-v1conf 100% · 496ms · $0.005 · 716 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 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:
104wrongcode.trace.nested-v1conf 100% · 1.2s · $0.000 · 18 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
68wrongcode.trace.python-v1conf 100% · 655ms · $0.002 · 277 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 87:
if v % 4 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
63wrongcode.trace.js-v1conf 100% · 460ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 3) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
162correctcode.trace.nested-v1conf 100% · 1.7s · $0.005 · 786 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
339correctcode.trace.python-v1conf 100% · 4.0s · $0.002 · 341 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 8
while total + v <= 52:
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:
44wrongcode.trace.js-v1conf 100% · 757ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; 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:
360correctcode.trace.python-v1conf 100% · 544ms · $0.002 · 289 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 99:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
66correctcode.trace.nested-v1conf 100% · 466ms · $0.004 · 629 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
140wrongcode.trace.js-v1conf 100% · 1.8s · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 3) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
108correctcode.trace.nested-v1conf 100% · 531ms · $0.006 · 1017 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
182wrongcode.trace.python-v1conf 95% · 472ms · $0.000 · 17 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 11
while total + v <= 84:
if v % 5 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
75wrongcode.trace.js-v1conf 100% · 811ms · $0.000 · 18 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 2) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
28correctcode.trace.nested-v1conf 100% · 485ms · $0.006 · 977 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 == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
196wrongcode.trace.python-v1conf 95% · 828ms · $0.000 · 17 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 13
while total + v <= 30:
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:
26wrongcode.trace.js-v1conf 100% · 551ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 7) .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:
308correctcode.trace.nested-v1conf 100% · 761ms · $0.005 · 835 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
247correctcode.trace.python-v1conf 100% · 573ms · $0.003 · 402 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 10
while total + v <= 75:
if v % 6 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
70wrongcode.trace.js-v1conf 100% · 752ms · $0.000 · 19 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
588correctcode.trace.python-v1anchorconf 100% · 1.2s · $0.005 · 784 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 1.0s · $0.006 · 896 tok
model answer:
283wrongcode.trace.js-v1anchorconf 100% · 554ms · $0.000 · 18 tok
model answer:
42wrongcode.trace.python-v1anchorconf 100% · 1.6s · $0.000 · 18 tok
model answer:
42instruction following 17/30 correct
wrongif.constraints.stack-v1conf 100% · 490ms · $0.001 · 64 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "zephyr" and the last word must be "falcon". 3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr chills bite as frost paints quartz white, dawn breaks slow, quartz glows soft, silent falcon.correctif.format.acronym-v1conf 100% · 795ms · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: cedar, echo, orbit, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEOPcorrectif.constraints.stack-v1conf 100% · 465ms · $0.001 · 68 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "flint" and the last word must be "drift". 3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint waves crash, silent orbit of tides, moon’s pull in orbit, endless blue, stars orbit, sand and driftcorrectif.format.repeat-v1conf 100% · 459ms · $0.000 · 35 tok
question
Write the word "ember" 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:
EMBER/EMBER/EMBER/EMBER/EMBER/EMBER/EMBERcorrectif.format.acronym-v1conf 100% · 531ms · $0.000 · 18 tok
question
Take the first letter of each of these words, in order: flint, delta, echo, comet, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FDECEcorrectif.format.repeat-v1conf 100% · 937ms · $0.000 · 33 tok
question
Write the word "echo" in capitalized form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHOwrongif.constraints.stack-v1conf 100% · 619ms · $0.001 · 51 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "quartz" and the last word must be "delta". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz waves crash on basalt cliffs, basalt deep, sea sings basalt deltawrongif.constraints.stack-v1conf 100% · 2.5s · $0.001 · 100 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "zephyr" and the last word must be "lumen". 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 hums past cedar shadows, neon drips on wet streets, cedar whispers blend with distant sirens, stars hide behind smog’s glow, cedar sighs as night breathes lumenwrongif.format.acronym-v1conf 100% · 871ms · $0.000 · 19 tok
question
Take the second letter of each of these words, in order: prism, flint, tundra, echo, comet, 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:
RNDOEAwrongif.format.acronym-v1conf 100% · 2.6s · $0.000 · 19 tok
question
Take the third letter of each of these words, in order: falcon, flint, quartz, orbit, nova, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AIRONCcorrectif.format.repeat-v1conf 100% · 1.8s · $0.000 · 26 tok
question
Write the word "nova" in lowercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova-nova-novacorrectif.format.repeat-v1conf 100% · 1.4s · $0.000 · 31 tok
question
Write the word "lumen" in lowercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen/lumen/lumen/lumenwrongif.format.acronym-v1conf 100% · 4.6s · $0.000 · 19 tok
question
Take the second letter of each of these words, in order: delta, tundra, cedar, zephyr, prism, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EUEEOAwrongif.constraints.stack-v1conf 100% · 672ms · $0.001 · 80 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "flint" and the last word must be "cedar". 3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint waves crash, a prism of salt and light, endless blue in prism’s glow. tides hum secrets, whispering through driftwood to cedar.correctif.format.repeat-v1conf 100% · 588ms · $0.000 · 43 tok
question
Write the word "drift" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift_drift_drift_drift_drift_drift_driftwrongif.constraints.stack-v1conf 100% · 443ms · $0.001 · 51 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "lumen" and the last word must be "falcon". 3. Use the word "nova" 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:
lumen dances where nova waves kiss the shore, nova tides hum, a falconcorrectif.format.acronym-v1conf 100% · 519ms · $0.000 · 19 tok
question
Take the first letter of each of these words, in order: prism, ember, lumen, falcon, cedar, 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:
PELFCCwrongif.constraints.stack-v1conf 100% · 818ms · $0.001 · 53 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "orbit" and the last word must be "basalt". 3. Use the word "delta" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit waves crash on delta shores, delta whispers to delta, salt and foam kiss basalt.correctif.format.repeat-v1conf 100% · 644ms · $0.000 · 33 tok
question
Write the word "tundra" in lowercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra_tundra_tundrawrongif.format.acronym-v1conf 100% · 533ms · $0.000 · 18 tok
question
Take the second letter of each of these words, in order: flint, ember, quartz, lumen, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LEAURcorrectif.constraints.stack-v1conf 100% · 1.5s · $0.001 · 64 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "falcon" and the last word must be "drift". 3. Use the word "basalt" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon hums, rusted gears grind on basalt ground, its basalt heart still pulses, slow to drift.correctif.format.repeat-v1conf 100% · 1.0s · $0.000 · 29 tok
question
Write the word "echo" 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:
ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHOwrongif.format.acronym-v1conf 100% · 555ms · $0.000 · 18 tok
question
Take the second letter of each of these words, in order: flint, delta, echo, basalt, 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:
LDBOEwrongif.constraints.stack-v1conf 100% · 1.4s · $0.001 · 62 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "zephyr" and the last word must be "cedar". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr whispers where waves dance, echo on salted breeze, echo in deep blue, home to silent cedarcorrectif.format.repeat-v1conf 100% · 527ms · $0.000 · 46 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/FALCONwrongif.format.acronym-v1conf 100% · 1.6s · $0.000 · 19 tok
question
Take the second letter of each of these words, in order: nova, basalt, zephyr, delta, falcon, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
OAEALUcorrectif.constraints.stack-v1anchorconf 100% · 1.6s · $0.001 · 77 tok
model answer:
drift through neon streets, lumen glow on wet asphalt, lumen pulse in distant towers, stars hide as lumen fade—silent city spins in endless orbitcorrectif.format.repeat-v1anchorconf 100% · 1.4s · $0.000 · 48 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1anchorconf 100% · 468ms · $0.000 · 45 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 465ms · $0.000 · 18 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 518ms · $0.000 · 17 tok
question
Identify the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 470ms · $0.000 · 16 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:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 664ms · $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:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 471ms · $0.000 · 21 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 748ms · $0.000 · 17 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 977ms · $0.000 · 16 tok
question
What is the element whose symbol is Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 486ms · $0.000 · 16 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 961ms · $0.000 · 16 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 16 tok
question
Name the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 686ms · $0.000 · 18 tok
question
What is the element whose symbol is Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 21 tok
question
Identify the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 2.0s · $0.000 · 16 tok
question
Name the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 4.0s · $0.000 · 16 tok
question
Identify the capital of Switzerland. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 4.0s · $0.000 · 17 tok
question
Name the element whose symbol is W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 2.1s · $0.000 · 16 tok
question
What is the chemical element with symbol Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 2.2s · $0.000 · 16 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 2.1s · $0.000 · 16 tok
question
Name the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 936ms · $0.000 · 16 tok
question
What is the capital of Switzerland? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 572ms · $0.000 · 18 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 1.8s · $0.000 · 17 tok
question
Identify the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 1.8s · $0.000 · 16 tok
question
Name the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 16 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 733ms · $0.000 · 18 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 18 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 427ms · $0.000 · 16 tok
question
Identify the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 797ms · $0.000 · 18 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 Bulgakovcorrectknowledge.fr.factbank-v2anchorconf 100% · 511ms · $0.000 · 16 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 476ms · $0.000 · 17 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 1.0s · $0.000 · 18 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 1.0s · $0.000 · 16 tok
model answer:
Leadmath 18/30 correct
correctmath.counterfactual.base-v1conf 100% · 1.2s · $0.002 · 348 tok
question
Work strictly in base 11. Multiply the base-11 numbers 49 and 33. 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:
1485wrongmath.chained.pipeline-v1conf 100% · 655ms · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 64 × 48. Step 2: Q = P × 8 − 886. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4785wrongmath.percent.chain-v2conf 100% · 689ms · $0.001 · 156 tok
question
An inventory starts at 73000 units. The delivery van has a 129-liter fuel tank. In the first month the inventory grows by 14%. The warehouse was painted 55 years ago. The next month it shrinks by 28%, and the month after it grows by 35%. 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:
80890.84correctmath.algebra.system-v2conf 100% · 1.3s · $0.002 · 239 tok
question
Solve the system, then answer the derived question. 7x + 3y = -78 8x − 8y = 368 What is the value of 6x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
116correctmath.arith.chain-v2conf 100% · 576ms · $0.002 · 227 tok
question
Work out the exact value of this expression. (((31 × 96 − 731) × 7 + 4542) − 54 × 43) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
89675correctmath.counterfactual.base-v1conf 100% · 709ms · $0.002 · 236 tok
question
Work strictly in base 7. Add the base-7 numbers 10023 and 2620. 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:
12643wrongmath.chained.pipeline-v1conf 100% · 507ms · $0.000 · 19 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 22 × 36. Step 2: Q = P × 5 − 720. 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:
420correctmath.percent.chain-v2conf 100% · 1.1s · $0.001 · 189 tok
question
An inventory starts at 83000 units. Each pallet weighs about 162 grams more when wet. In the first month the inventory grows by 36%. The delivery van has a 75-liter fuel tank. The next month it shrinks by 43%, and the month after it grows by 25%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
80427correctmath.arith.chain-v2conf 100% · 2.2s · $0.002 · 250 tok
question
Compute the value of the following expression. (((35 × 57 − 342) × 7 + 2924) − 43 × 75) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56350correctmath.algebra.system-v2conf 100% · 1.8s · $0.001 · 181 tok
question
Solve the system, then answer the derived question. 7x + 3y = -291 7x − 4y = -151 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:
-138wrongmath.chained.pipeline-v1conf 100% · 3.8s · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 48 × 28. Step 2: Q = P × 8 − 601. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3579correctmath.counterfactual.base-v1conf 100% · 1.6s · $0.002 · 367 tok
question
Work strictly in base 13. Multiply the base-13 numbers 48 and 12. 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:
543wrongmath.percent.chain-v2conf 100% · 2.7s · $0.000 · 24 tok
question
An inventory starts at 26000 units. A rival firm shipped 82 unrelated parcels the same week. In the first month the inventory grows by 22%. The warehouse was painted 111 years ago. The next month it shrinks by 19%, and the month after it grows by 25%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
32177.00correctmath.arith.chain-v2conf 100% · 1.8s · $0.002 · 285 tok
question
Calculate the following. Show your reasoning, then answer. (((47 × 58 − 726) × 8 + 9262) − 21 × 48) × 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:
97016correctmath.algebra.system-v2conf 100% · 1.7s · $0.001 · 193 tok
question
Solve the system, then answer the derived question. 4x + 6y = 30 7x − 6y = -162 What is the value of 2x − 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:
-102correctmath.counterfactual.base-v1conf 100% · 552ms · $0.002 · 243 tok
question
Work strictly in base 9. Add the base-9 numbers 2080 and 348. 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:
2438wrongmath.chained.pipeline-v1conf 100% · 1.3s · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 78 × 20. Step 2: Q = P × 6 − 688. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2976correctmath.algebra.system-v2conf 100% · 1.8s · $0.002 · 271 tok
question
Solve the system, then answer the derived question. 3x + 7y = 11 7x − 3y = 103 What is the value of 5x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
85correctmath.percent.chain-v2conf 100% · 1.5s · $0.001 · 193 tok
question
An inventory starts at 22000 units. Each pallet weighs about 146 grams more when wet. In the first month the inventory grows by 44%. The company was founded 45 kilometers from the port. The next month it shrinks by 9%, and the month after it grows by 14%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
32864.83correctmath.counterfactual.base-v1conf 100% · 495ms · $0.002 · 280 tok
question
Work strictly in base 8. Add the base-8 numbers 3454 and 1055. 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:
4531correctmath.arith.chain-v2conf 100% · 477ms · $0.002 · 229 tok
question
Work out the exact value of this expression. (((81 × 60 − 458) × 7 + 7600) − 31 × 74) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
108360wrongmath.chained.pipeline-v1conf 100% · 413ms · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 59 × 46. Step 2: Q = P × 7 − 876. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
6233wrongmath.percent.chain-v2conf 100% · 484ms · $0.000 · 24 tok
question
An inventory starts at 26000 units. The company was founded 61 kilometers from the port. In the first month the inventory grows by 44%. The company was founded 169 kilometers from the port. The next month it shrinks by 38%, and the month after it grows by 17%. 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:
24709.24correctmath.counterfactual.base-v1anchorconf 100% · 1.4s · $0.002 · 326 tok
model answer:
11236correctmath.algebra.system-v2conf 100% · 413ms · $0.001 · 209 tok
question
Solve the system, then answer the derived question. 5x + 9y = -138 2x − 6y = -84 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:
-117wrongmath.arith.chain-v2conf 100% · 1.4s · $0.000 · 21 tok
question
Compute the value of the following expression. (((89 × 42 − 219) × 3 + 9114) − 68 × 18) × 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:
30000wrongmath.chained.pipeline-v1conf 100% · 551ms · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 80 × 60. Step 2: Q = P × 3 − 356. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4776correctmath.algebra.system-v2anchorconf 100% · 496ms · $0.001 · 215 tok
model answer:
87wrongmath.percent.chain-v2anchorconf 100% · 1.3s · $0.000 · 24 tok
model answer:
61347.81wrongmath.arith.chain-v2anchorconf 100% · 437ms · $0.000 · 22 tok
model answer:
204000multilingual 28/30 correct
correctmultilingual.wordnum-v1conf 100% · 671ms · $0.000 · 19 tok
question
A number is written in French: « cinq cent quatre-vingt-huit ». Another is written in Spanish: « ciento setenta y tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
415correctmultilingual.numword-v2conf 100% · 540ms · $0.000 · 31 tok
question
Compute 130 + 351, 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 ochenta y unowrongmultilingual.wordnum-v1conf 100% · 706ms · $0.000 · 19 tok
question
A number is written in French: « deux cent quatre-vingts ». Another is written in Spanish: « ochocientos noventa 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:
-118correctmultilingual.wordnum-v1conf 100% · 508ms · $0.000 · 19 tok
question
A number is written in French: « six cent soixante-seize ». Another is written in Spanish: « doscientos 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:
386correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 22 tok
question
Compute 192 + 398, 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 quatre-vingt-dixcorrectmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 22 tok
question
Compute 321 + 52, 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 setenta y trescorrectmultilingual.wordnum-v1conf 100% · 2.9s · $0.000 · 20 tok
question
A number is written in French: « huit cent soixante-neuf ». Another is written in Spanish: « ciento 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:
1059correctmultilingual.numword-v2conf 100% · 617ms · $0.000 · 20 tok
question
Compute 55 + 264, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent dix-neufcorrectmultilingual.wordnum-v1conf 100% · 537ms · $0.000 · 19 tok
question
A number is written in French: « huit cent trente-deux ». Another is written in Spanish: « 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:
787correctmultilingual.numword-v2conf 100% · 1.9s · $0.000 · 21 tok
question
Compute 444 + 144, 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 quatre-vingt-huitcorrectmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 19 tok
question
A number is written in French: « six cent quatre-vingts ». Another is written in Spanish: « quinientos treinta 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:
146correctmultilingual.numword-v2conf 100% · 1.2s · $0.000 · 21 tok
question
Compute 147 + 241, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent quatre-vingt-huitcorrectmultilingual.numword-v2conf 100% · 1.8s · $0.000 · 31 tok
question
Compute 149 + 340, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quatre-vingt-neufcorrectmultilingual.wordnum-v1conf 100% · 721ms · $0.000 · 19 tok
question
A number is written in French: « quatre cent soixante-dix-neuf ». Another is written in Spanish: « cuatrocientos noventa 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:
975correctmultilingual.wordnum-v1conf 100% · 461ms · $0.000 · 19 tok
question
A number is written in French: « quatre cent quatre-vingt-neuf ». Another is written in Spanish: « cincuenta 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:
544correctmultilingual.numword-v2conf 100% · 532ms · $0.000 · 21 tok
question
Compute 349 + 299, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos cuarenta y ochowrongmultilingual.wordnum-v1conf 100% · 631ms · $0.000 · 19 tok
question
A number is written in French: « six cent cinq ». Another is written in Spanish: « quinientos cuarenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
103correctmultilingual.numword-v2conf 100% · 618ms · $0.000 · 22 tok
question
Compute 171 + 120, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent quatre-vingt-onzecorrectmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 20 tok
question
A number is written in French: « huit cent deux ». Another is written in Spanish: « trescientos ochenta 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:
1187correctmultilingual.numword-v2conf 100% · 911ms · $0.000 · 18 tok
question
Compute 433 + 71, 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 quatrecorrectmultilingual.numword-v2conf 100% · 1.2s · $0.000 · 27 tok
question
Compute 106 + 365, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent soixante et onzecorrectmultilingual.wordnum-v1conf 100% · 1.3s · $0.000 · 19 tok
question
A number is written in French: « quatre cent quarante ». Another is written in Spanish: « novecientos 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:
-508correctmultilingual.numword-v2conf 100% · 1.9s · $0.000 · 20 tok
question
Compute 204 + 147, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent cinquante et uncorrectmultilingual.wordnum-v1conf 100% · 1.8s · $0.000 · 20 tok
question
A number is written in French: « neuf cent soixante-six ». Another is written in Spanish: « cuatrocientos cuarenta y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1413correctmultilingual.numword-v2conf 100% · 3.9s · $0.000 · 22 tok
question
Compute 121 + 361, 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 ochenta y doscorrectmultilingual.wordnum-v1conf 100% · 3.8s · $0.000 · 20 tok
question
A number is written in French: « neuf cent trente-neuf ». Another is written in Spanish: « trescientos sesenta 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:
1307correctmultilingual.numword-v2anchorconf 100% · 2.1s · $0.000 · 22 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 2.0s · $0.000 · 19 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 1.4s · $0.000 · 19 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 1.3s · $0.000 · 19 tok
model answer:
762reasoning 14/30 correct
correctreasoning.deduction.position-v1conf 100% · 594ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Farah. Nadir is number 1 in the queue. Farah is directly ahead of Chen. 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:
Farahwrongreasoning.deduction.position-v1conf 100% · 2.4s · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 1 in the queue. Bruno is directly ahead of Nadir. Ines is directly ahead of Bruno. 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:
Nadirwrongreasoning.deduction.order-v2conf 95% · 1.8s · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Jonas. Jonas is taller than Quinn. Sami is heavier than everyone here, but Sami is not being ranked. Kira is taller than Tessa. Kira is taller than Tessa. Kira is taller than Hana. Jonas is taller than Emil. Quinn is taller than Kira. Tessa is taller than Emil. Hana is taller than Tessa. 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:
Emilwrongreasoning.deduction.order-v2conf 95% · 1.3s · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is older than Quinn. Emil is older than Goran. Goran is older than Bruno. Jonas is older than Chen. Bruno is older than Jonas. Jonas is older than Quinn. Kira is older than Chen. Rosa is faster than everyone here, but Rosa is not being ranked. Chen is older than Quinn. Kira is older than Emil. 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:
Jonaswrongreasoning.deduction.position-v1conf 100% · 1.6s · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Ola. Ines is directly ahead of Bruno. Bruno is number 2 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 95% · 489ms · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Ola. Quinn is heavier than everyone here, but Quinn is not being ranked. Jonas is faster than Kira. Bruno is faster than Sami. Jonas is faster than Ola. Sami is faster than Ola. Goran is faster than Rosa. Kira is faster than Bruno. Rosa is faster than Jonas. Bruno is faster than Ola. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.position-v1conf 100% · 434ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 2 in the queue. Hana is directly ahead of Farah. Sami is directly ahead of Bruno. 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:
Brunocorrectreasoning.deduction.order-v2conf 100% · 3.1s · $0.003 · 361 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Tessa. Priya is faster than everyone here, but Priya is not being ranked. Nadir is taller than Dara. Dara is taller than Goran. Farah is taller than Sami. Alice is taller than Tessa. Goran is taller than Tessa. Nadir is taller than Tessa. Alice is taller than Nadir. Sami is taller than Alice. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Goranwrongreasoning.deduction.order-v2conf 100% · 624ms · $0.000 · 17 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Mona. Ola is heavier than Mona. Farah is heavier than Goran. Goran is heavier than Chen. Emil is heavier than Ola. Ines is heavier than Farah. Farah is heavier than Emil. Ola is heavier than Goran. Chen is heavier than Mona. Liam is faster than everyone here, but Liam is not being ranked. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ineswrongreasoning.deduction.position-v1conf 100% · 504ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 3 in the queue. Dara is directly ahead of Chen. Kira is directly ahead of Dara. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Bencorrectreasoning.deduction.order-v2conf 100% · 486ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Kira. Nadir is faster than everyone here, but Nadir is not being ranked. Kira is taller than Alice. Alice is taller than Liam. Hana is taller than Liam. Alice is taller than Hana. Ola is taller than Alice. Sami is taller than Ola. Alice is taller than Chen. Chen is taller than Hana. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 814ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Kira. Quinn is directly ahead of Nadir. Kira is directly ahead of Quinn. Nadir is number 4 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamwrongreasoning.deduction.position-v1conf 100% · 1.6s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 3 in the queue. Goran is directly ahead of Liam. Chen is directly ahead of Goran. 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:
Naomicorrectreasoning.deduction.order-v2conf 95% · 1.4s · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Farah. Emil is older than Farah. Dara is older than Jonas. Goran is older than Dara. Emil is older than Alice. Farah is older than Goran. Alice is older than Ines. Rosa is heavier than everyone here, but Rosa is not being ranked. Farah is older than Jonas. Ines is older than Goran. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicewrongreasoning.deduction.position-v1conf 100% · 3.5s · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 4 in the queue. Farah is directly ahead of Mona. Bruno is directly ahead of Liam. Mona is directly ahead of Bruno. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahwrongreasoning.deduction.order-v2conf 90% · 458ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ola is heavier than everyone here, but Ola is not being ranked. Farah is taller than Jonas. Liam is taller than Farah. Sami is taller than Farah. Liam is taller than Farah. Tessa is taller than Kira. Liam is taller than Sami. Liam is taller than Jonas. Kira is taller than Ines. Ines is taller than Liam. 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 515ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Jonas. Jonas is directly ahead of Nadir. Nadir is directly ahead of Liam. Liam 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:
Nadirwrongreasoning.deduction.order-v2conf 95% · 710ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Jonas is taller than Dara. Jonas is taller than Dara. Ines is taller than Sami. Priya is faster than everyone here, but Priya is not being ranked. Liam is taller than Ines. Farah is taller than Dara. Jonas is taller than Farah. Ines is taller than Dara. Tessa is taller than Jonas. Sami is taller than Tessa. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 478ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Farah. Mona is number 1 in the queue. Farah is directly ahead of Liam. 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:
Hanawrongreasoning.deduction.order-v2conf 95% · 520ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Farah. Dara is faster than Farah. Chen is faster than Goran. Sami is faster than Chen. Nadir is taller than everyone here, but Nadir is not being ranked. Goran is faster than Dara. Dara is faster than Mona. Goran is faster than Mona. Mona is faster than Farah. Mona is faster 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:
Farahwrongreasoning.deduction.position-v1conf 100% · 489ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 4 in the queue. Rosa is directly ahead of Priya. Farah is directly ahead of Rosa. Priya is directly ahead of Liam. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.order-v2conf 95% · 720ms · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Ines. Hana is older than Sami. Ines is older than Hana. Kira is older than Dara. Jonas is taller than everyone here, but Jonas is not being ranked. Liam is older than Kira. Kira is older than Hana. Kira is older than Sami. Dara is older than Sami. Nadir is older than Liam. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kirawrongreasoning.deduction.order-v2conf 100% · 908ms · $0.000 · 16 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Chen. Alice is heavier than Ola. Alice is heavier than Chen. Alice is heavier than Mona. Ola is heavier than Farah. Jonas is heavier than Alice. Chen is heavier than Farah. Mona is heavier than Sami. Ines is older than everyone here, but Ines is not being ranked. Sami is heavier than Ola. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 531ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Quinn. Hana is directly ahead of Jonas. Quinn 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:
Jonaswrongreasoning.deduction.order-v2conf 95% · 464ms · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Rosa. Goran is older than Emil. Kira is older than Bruno. Bruno is older than Goran. Rosa is older than Goran. Mona is older than Priya. Bruno is older than Emil. Nadir is taller than everyone here, but Nadir is not being ranked. Priya is older than Emil. Goran is older than Mona. 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:
Emilcorrectreasoning.deduction.position-v1conf 100% · 422ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Hana. Mona is directly ahead of Rosa. Hana 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:
Rosacorrectreasoning.deduction.order-v2anchorconf 95% · 480ms · $0.000 · 15 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 420ms · $0.000 · 16 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 630ms · $0.000 · 17 tok
model answer:
Farahwrongreasoning.deduction.order-v2anchorconf 95% · 438ms · $0.000 · 16 tok
model answer:
Priyaterminal 10/30 correct
correctterminal.exit.chain-v1conf 100% · 1.5s · $0.001 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, 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 test -f tmp.txt && 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:
B
D
F
H
Z
exit:0wrongterminal.fs.tree-v1conf 95% · 689ms · $0.001 · 78 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/assets`, `/proj/conf`): ``` /proj/assets/main.cfg /proj/conf/draft.txt /proj/notes.log /proj/src/setup.cfg /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 mkdir -p conf/logs-8 cp notes.log conf/logs-8/ cd conf/logs-8 mv ../../../proj/todo.log ../../../proj/notes-8.cfg cd . cp notes.log ../../../proj/src/ mkdir -p ../../../proj/conf/conf-5 cd ../../../proj/src mv setup.cfg main-8.md touch ../../proj/assets/draft-6.cfg cd . mkdir -p ../../proj/assets/docs-6 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 596ms · $0.001 · 41 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/logs`): ``` /proj/conf/todo.log /proj/draft.txt /proj/logs/main.log /proj/logs/report.log /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv logs/main.log build/ cd conf rm ../../proj/logs/report.log cd . touch ../../proj/build/main-7.txt rm ../../proj/build/main.log rm ../../proj/build/main-7.txt mv ../../proj/util.log ../../proj/util-8.log cp todo.log ../../proj/logs/ cd ../../proj/build ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 477ms · $0.001 · 35 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` hal,ops,50,39 ivy,eng,62,34 eli,ops,34,10 lou,ops,57,84 ana,sales,18,52 gus,sales,52,11 bo,sales,52,87 dev,sales,22,56 max,sales,97,38 pam,eng,85,65 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ivy,eng,62,34
pam,eng,85,65
CONFIDENCE: 100wrongterminal.exit.chain-v1conf 100% · 575ms · $0.001 · 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: coral, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f tmp.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
exit:0correctterminal.pipeline.predict-v1conf 100% · 651ms · $0.001 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
kim,legal,7,91
ned,sales,72,93
ivy,sales,15,15
eli,ops,102,41
fay,eng,110,29
jon,hr,56,93
dev,ops,92,10
pam,hr,70,30
max,sales,48,54
ana,sales,59,65
lou,hr,20,32
gus,eng,19,31
cy,eng,64,52
hal,ops,107,40
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
193correctterminal.exit.chain-v1conf 100% · 676ms · $0.001 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
Z
exit:0wrongterminal.fs.tree-v1conf 99% · 708ms · $0.001 · 57 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/src`): ``` /proj/assets/index.cfg /proj/conf/report.log /proj/draft.cfg /proj/main.md /proj/src/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 assets/draft-6.log touch util-5.cfg mv assets/index.cfg assets/util-1.md mv assets/util-1.md assets/ cd . mkdir -p build-9 mv src/util.txt assets/ rm assets/util.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 1.7s · $0.001 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,eng,120,28 kim,hr,8,52 oli,legal,98,27 pam,ops,36,34 ned,ops,91,17 cy,hr,60,81 bo,legal,103,57 eli,eng,30,67 hal,sales,42,88 max,sales,7,77 fay,eng,47,48 dev,ops,69,36 jon,eng,34,76 ivy,legal,90,44 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' 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:
ivy,90
oli,98wrongterminal.fs.tree-v1conf 95% · 2.0s · $0.001 · 64 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/logs`): ``` /proj/assets/notes.cfg /proj/logs/main.cfg /proj/logs/util.md /proj/setup.txt /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p logs/assets-2 touch logs/assets-2/util-8.md cd . mkdir -p logs/src-8 cd logs/assets-2 rm ../../../proj/logs/main.cfg cp ../../../proj/setup.txt ../../../proj/assets/ cd . mkdir -p ../../../proj/logs/src-8/conf-5 touch ../../../proj/logs/src-8/setup-2.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 1.9s · $0.001 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh true && 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:
A
D
F
G
exit:0wrongterminal.pipeline.predict-v1conf 100% · 3.1s · $0.001 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,hr,71,33
cy,hr,17,75
hal,legal,70,85
eli,hr,118,34
jon,legal,42,66
max,eng,94,65
ana,hr,23,67
dev,eng,105,22
bo,sales,116,16
ned,hr,29,88
ivy,hr,18,23
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
94correctterminal.exit.chain-v1conf 100% · 3.8s · $0.001 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 1.1s · $0.001 · 71 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/logs`, `/proj/conf`): ``` /proj/conf/draft.log /proj/conf/main.txt /proj/logs/util.cfg /proj/report.md /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch src/index-5.cfg touch util-1.txt mv util-1.txt todo-8.txt mv report.md main-3.log cd . touch todo-5.cfg cd . touch util-4.md rm main-3.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 1.9s · $0.001 · 22 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,sales,89,30 max,legal,90,63 jon,eng,117,30 hal,legal,103,57 ivy,sales,3,84 bo,legal,96,48 ana,legal,116,53 eli,sales,8,75 pam,eng,65,26 cy,sales,85,94 dev,eng,9,43 kim,ops,19,88 fay,eng,17,85 gus,ops,35,84 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' 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,85
lou,89wrongterminal.fs.tree-v1conf 100% · 1.2s · $0.001 · 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/conf`, `/proj/build`): ``` /proj/assets/report.md /proj/build/main.md /proj/build/setup.log /proj/index.txt /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv index.txt conf/ mkdir -p assets/logs-9 mv conf/index.txt conf/index-5.md cd . rm build/main.md cd conf cp ../../proj/assets/report.md ./ cd ../../proj/assets touch logs-9/setup-4.cfg mkdir -p logs-9/assets-2 cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 902ms · $0.001 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
H
exit:1wrongterminal.pipeline.predict-v1conf 100% · 446ms · $0.001 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
hal,hr,7,96
kim,legal,114,10
dev,sales,89,54
pam,legal,4,58
ned,sales,3,15
ivy,legal,85,10
oli,eng,87,61
max,eng,36,77
lou,sales,51,78
gus,ops,73,73
jon,legal,90,49
ana,eng,22,70
```
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:
93correctterminal.exit.chain-v1conf 100% · 551ms · $0.001 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F true && echo G || echo H test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
G
Z
exit:0wrongterminal.fs.tree-v1conf 99% · 1.8s · $0.001 · 51 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/src`, `/proj/logs`): ``` /proj/draft.md /proj/logs/index.md /proj/logs/main.log /proj/notes.md /proj/src/setup.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 rm draft.md rm src/setup.cfg mv logs/main.log logs/util-9.cfg cp logs/index.md assets/ cp assets/index.md src/ mv logs/index.md ./ mkdir -p assets/assets-6 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.pipeline.predict-v1conf 100% · 1.8s · $0.001 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,sales,112,15
max,eng,11,29
hal,legal,36,28
ned,legal,64,90
fay,eng,69,16
gus,sales,73,15
bo,eng,18,56
ana,ops,119,31
dev,eng,60,99
cy,sales,63,40
kim,eng,68,60
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
100correctterminal.exit.chain-v1conf 100% · 1.3s · $0.001 · 24 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 test -f app.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D true && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
H
exit:1wrongterminal.fs.tree-v1conf 95% · 1.7s · $0.001 · 55 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/src`, `/proj/assets`): ``` /proj/docs/notes.txt /proj/docs/todo.log /proj/setup.md /proj/src/report.cfg /proj/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch docs/todo-9.md cd assets mv ../../proj/setup.md ../../proj/ cp ../../proj/setup.md ../../proj/docs/ cd . mkdir -p ../../proj/src-5 cd . rm ../../proj/docs/todo-9.md mv ../../proj/src/report.cfg ../../proj/src/util-9.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 439ms · $0.001 · 24 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,eng,114,98
ivy,hr,112,29
bo,legal,10,36
ned,eng,23,77
max,eng,72,48
hal,hr,110,47
pam,ops,107,12
oli,ops,28,64
kim,legal,40,31
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
112
110
222correctterminal.exit.chain-v1conf 100% · 752ms · $0.001 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B test -f ghost.txt && echo C || echo D false && echo E || echo F true && echo G || echo H test -f 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
F
G
Z
exit:0wrongterminal.fs.tree-v1conf 95% · 567ms · $0.001 · 63 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/logs`, `/proj/conf`): ``` /proj/assets/draft.cfg /proj/assets/setup.md /proj/logs/main.md /proj/report.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf/docs-5 touch conf/docs-5/notes-5.md rm util.md cd logs mv ../../proj/assets/setup.md ../../proj/assets/draft-2.cfg cd ../../proj/conf touch docs-5/util-7.md cd ../../proj/logs rm main.md mkdir -p ../../proj/assets/build-8 mv ../../proj/assets/draft-2.cfg ../../proj/assets/setup-6.txt cd ../../proj/conf/docs-5 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf 100% · 443ms · $0.001 · 43 tok
model answer:
cy,eng,115,45
dev,eng,81,95
max,eng,43,64wrongterminal.exit.chain-v1anchorconf 100% · 1.1s · $0.001 · 24 tok
model answer:
B
D
E
G
exit:0wrongterminal.fs.tree-v1anchorconf 95% · 771ms · $0.001 · 82 tok
model answer:
(none extracted)correctterminal.pipeline.predict-v1anchorconf 100% · 501ms · $0.001 · 14 tok
model answer:
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