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Perceptron: Perceptron Mk1

perceptron/perceptron-mk1 · perceptron · context 32 768 · in $0.150/1M · out $1.50/1M

Global Index

522

95% CI [483560] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic564 [468660]
0.3770.920.500.000251ms$0.806
code367 [280455]
0.3020.880.540.250256ms$0.963
instruction following283 [223343]
0.1690.970.370.442245ms$0.080
knowledge680 [516844]
0.5201.000.970.038220ms$0.043
math529 [394665]
0.4920.970.830.192250ms$0.402
multilingual458 [369547]
0.2770.980.670.096247ms$0.055
reasoning445 [353537]
0.3080.980.630.135207ms$0.051
terminal617 [515719]
0.4360.980.570.000236ms$0.100
vision ocr752 [581923]
0.5871.001.000.000450ms$0.162

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 15/30 correct
wrongagentic.tools.context-load-v1conf 100% · 204ms · $0.002 · 711 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 (225 records, format: id|customer|region|item|qty|status):
```
1298|ember|north|rotor|66|pending
1197|ember|east|sensor|64|paid
1377|gale|east|panel|38|held
1623|ionic|west|rotor|74|pending
1139|ionic|east|frame|76|shipped
1228|harbor|west|panel|78|pending
2010|birch|east|cable|22|shipped
1686|juno|west|sensor|82|paid
1792|acme|north|sensor|65|pending
1422|gale|west|sensor|15|paid
1908|ember|north|gasket|76|paid
2016|gale|west|pump|90|shipped
1643|cobalt|west|valve|25|paid
1222|harbor|south|rotor|41|held
1566|juno|east|frame|33|pending
1127|ionic|east|cable|12|held
1606|birch|east|sensor|35|paid
1556|dorian|west|pump|82|pending
2018|ionic|north|cable|16|held
1842|ionic|east|gasket|71|pending
1270|ember|west|rotor|91|held
1663|fulton|north|panel|37|shipped
1888|juno|east|sensor|73|paid
1822|juno|east|frame|68|shipped
1942|harbor|west|pump|32|held
1976|cobalt|east|gasket|56|paid
1146|birch|south|panel|64|held
1660|ionic|north|gasket|82|paid
1186|fulton|west|panel|92|paid
1935|gale|south|cable|65|held
1235|juno|south|sensor|54|shipped
1336|juno|east|pump|23|pending
1705|gale|north|valve|67|pending
1510|ionic|south|valve|25|pending
1521|cobalt|south|pump|17|shipped
1711|acme|north|pump|21|held
1244|ember|north|rotor|85|shipped
2004|juno|east|frame|50|shipped
1211|gale|east|cable|74|held
1994|birch|east|frame|43|pending
1661|birch|north|pump|93|held
1805|harbor|west|cable|74|shipped
1552|acme|south|sensor|69|pending
1925|ionic|east|cable|66|paid
1682|juno|west|valve|91|shipped
1803|juno|east|rotor|73|paid
1694|fulton|south|frame|53|pending
1526|harbor|west|pump|13|held
1973|dorian|west|cable|25|held
1354|ionic|west|gasket|11|paid
1533|ionic|south|panel|56|held
1124|gale|west|valve|92|pending
1277|dorian|east|gasket|99|pending
1253|juno|south|gasket|13|shipped
1412|fulton|east|valve|62|pending
1134|dorian|south|valve|89|pending
1996|dorian|west|panel|96|shipped
1930|harbor|south|sensor|91|paid
1716|ember|north|frame|95|paid
1465|ember|east|cable|57|paid
1545|fulton|south|frame|94|pending
2003|gale|north|frame|13|pending
1437|dorian|south|panel|75|held
1560|gale|east|valve|31|held
1098|gale|east|sensor|11|shipped
1494|cobalt|east|sensor|26|held
1947|juno|east|panel|63|paid
1920|cobalt|west|cable|90|pending
1769|ionic|east|rotor|85|shipped
1543|fulton|east|rotor|45|pending
1344|fulton|south|pump|13|pending
1485|cobalt|north|pump|51|pending
1653|ember|west|cable|39|held
1758|cobalt|south|panel|39|shipped
1893|harbor|west|panel|75|paid
1482|cobalt|south|panel|11|held
1922|dorian|south|gasket|78|pending
1104|gale|south|valve|67|pending
1478|ember|south|frame|22|shipped
1518|ionic|north|pump|79|held
1081|gale|east|rotor|37|pending
1505|dorian|south|valve|37|paid
1457|gale|south|rotor|43|pending
1517|juno|north|sensor|27|shipped
1158|fulton|north|cable|99|shipped
1230|gale|south|valve|50|pending
1294|juno|north|gasket|54|shipped
1590|ember|north|frame|49|paid
1722|cobalt|west|sensor|52|shipped
1267|gale|west|gasket|36|paid
1978|fulton|south|cable|60|paid
1818|fulton|west|sensor|90|held
1091|gale|north|pump|50|pending
1315|juno|south|rotor|35|shipped
1742|dorian|south|frame|25|paid
1154|harbor|west|cable|28|held
1287|fulton|east|valve|39|paid
1240|ionic|south|pump|74|shipped
1444|birch|south|cable|53|shipped
1351|cobalt|south|panel|10|shipped
1451|acme|west|cable|55|paid
1237|ionic|north|gasket|83|paid
1571|harbor|south|panel|47|held
1090|gale|east|gasket|90|pending
1305|gale|south|sensor|88|paid
1389|juno|south|cable|93|pending
1541|birch|west|gasket|69|held
1845|harbor|south|valve|28|paid
1771|birch|north|sensor|99|shipped
1129|dorian|east|valve|83|shipped
1700|ionic|south|pump|42|pending
1318|birch|west|cable|15|held
1147|ionic|east|frame|60|shipped
1799|ember|north|pump|99|shipped
1783|ember|north|gasket|93|shipped
1868|cobalt|west|valve|56|paid
1284|harbor|north|panel|59|held
1811|acme|west|frame|26|pending
1728|fulton|south|rotor|32|paid
1490|ember|east|valve|67|paid
1889|fulton|south|frame|77|held
1497|cobalt|east|frame|73|held
1421|ember|east|rotor|62|pending
1246|acme|west|rotor|81|paid
1204|acme|south|sensor|77|pending
1131|ember|north|gasket|36|shipped
1905|gale|east|cable|13|paid
1463|birch|north|cable|67|paid
1496|fulton|east|frame|41|shipped
1612|cobalt|north|panel|46|paid
1170|birch|north|panel|10|shipped
1987|ember|south|valve|29|pending
1872|birch|north|pump|65|pending
1676|acme|north|gasket|10|paid
1502|cobalt|west|pump|36|paid
1576|dorian|south|gasket|57|shipped
1472|ember|south|panel|84|held
1912|birch|south|gasket|31|pending
1118|cobalt|west|cable|10|pending
1432|gale|east|frame|79|held
1111|fulton|south|sensor|54|paid
1569|cobalt|east|cable|19|shipped
1184|birch|south|frame|36|paid
1740|juno|west|valve|55|held
1310|juno|east|cable|48|paid
1829|gale|east|panel|44|shipped
1087|gale|east|pump|24|paid
1191|gale|north|panel|45|shipped
1324|cobalt|north|valve|39|pending
1261|fulton|north|rotor|90|pending
1898|harbor|east|valve|66|held
1534|birch|north|cable|95|pending
1836|juno|west|gasket|26|shipped
1247|birch|east|gasket|77|held
1654|gale|north|frame|63|pending
1327|fulton|north|pump|44|shipped
1917|gale|west|rotor|42|held
1967|cobalt|north|pump|23|pending
1301|birch|east|frame|36|shipped
1651|gale|west|gasket|45|shipped
1084|gale|south|rotor|98|pending
1749|ionic|east|valve|66|pending
1561|cobalt|west|sensor|66|shipped
1178|ember|south|valve|78|pending
1257|birch|west|cable|71|paid
1669|fulton|west|sensor|81|pending
1693|ionic|west|frame|86|paid
1685|dorian|east|cable|52|pending
1857|ionic|west|panel|12|paid
1960|fulton|south|panel|54|shipped
1746|fulton|west|sensor|75|paid
1143|dorian|south|frame|87|paid
1630|acme|north|cable|16|paid
1383|harbor|south|sensor|60|shipped
1173|birch|north|valve|71|held
1532|cobalt|south|sensor|71|pending
1796|fulton|west|rotor|51|pending
1813|fulton|east|gasket|74|held
1793|fulton|east|frame|40|held
1182|birch|east|sensor|44|shipped
1164|acme|east|valve|75|paid
1852|dorian|south|frame|41|pending
1738|acme|north|panel|74|held
1371|gale|north|rotor|66|paid
1420|gale|south|sensor|76|pending
1619|gale|west|valve|58|pending
1329|birch|south|panel|63|shipped
1407|fulton|west|sensor|52|paid
1414|ember|east|cable|30|pending
2023|harbor|east|gasket|52|paid
1217|gale|west|gasket|30|pending
1429|acme|south|sensor|63|pending
1918|cobalt|north|sensor|18|pending
1099|gale|east|panel|27|pending
1440|harbor|west|gasket|79|held
1400|ember|east|pump|16|shipped
1980|acme|west|cable|52|paid
1884|gale|west|gasket|87|paid
1339|dorian|east|pump|38|pending
1601|fulton|north|rotor|86|paid
1756|ionic|north|frame|72|paid
1596|harbor|north|gasket|97|paid
2001|gale|north|cable|49|paid
1584|dorian|south|frame|41|paid
1662|acme|south|cable|65|paid
1648|harbor|south|valve|75|pending
1637|gale|west|panel|59|paid
1507|gale|north|gasket|18|held
1397|harbor|south|frame|98|paid
1862|birch|south|sensor|23|paid
1787|harbor|south|cable|43|held
1365|acme|south|panel|68|shipped
1238|ionic|north|panel|88|shipped
1733|harbor|east|valve|65|held
1396|acme|north|gasket|64|paid
1879|harbor|west|panel|89|pending
1874|juno|north|cable|62|paid
1691|dorian|south|cable|48|held
1577|dorian|south|frame|61|shipped
1764|fulton|east|cable|97|paid
1361|juno|north|rotor|24|pending
1954|harbor|north|cable|47|paid
1107|gale|east|rotor|28|shipped
1776|gale|south|rotor|13|held
1914|ionic|west|gasket|66|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, 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": 1098}}, {"tool": "restock", "args": {"item": "cable", "qty": 74}}, {"tool": "cancel_order", "args": {"order_id": 1211}}, {"tool": "cancel_order", "args": {"order_id": 1336}}, {"tool": "cancel_order", "args": {"order_id": 1560}}, {"tool": "restock", "args": {"item": "gasket", "qty": 90}}, {"tool": "cancel_order", "args": {"order_id": 1905}}, {"tool": "cancel_order", "args": {"order_id": 1917}}, {"tool": "cancel_order", "args": {"order_id": 1918}}, {"tool": "cancel_order", "args": {"order_id": 1922}}, {"tool": "cancel_order", "args": {"order_id": 1930}}, {"tool": "cancel_order", "args": {"order_id": 1935}}, {"tool": "cancel_order", "args": {"order_id": 1942}}, {"tool": "cancel_order", "args": {"order_id": 1947}}, {"tool": "cancel_order", "args": {"order_id": 1954}}, {"tool": "cancel_order", "args": {"order_id": 1960}}, {"tool": "cancel_order", "args": {"order_id": 1967}}, {"tool": "cancel_order", "args": {"order_id": 1973}}, {"tool": "cancel_order", "args": {"order_id": 1976}}, {"tool": "cancel_order", "args": {"order_id": 1978}}, {"tool": "cancel_order", "args": {"order_id": 1980}}, {"tool": "cancel_order", "args": {"order_id": 1987}}, {"tool": "cancel_order", "args": {"order_id": 1994}}, {"tool": "cancel_order", "args": {"order_id": 1996}}, {"tool": "cancel_order", "args": {"order_id": 2001}}, {"tool": "cancel_order", "args": {"order_id": 2003}}, {"tool": "cancel_order", "args": {"order_id": 2004}}, {"tool": "cancel_order", "args": {"order_id": 2010}}, {"tool": "cancel_order", "args": {"order_id": 2016}}, {"tool": "cancel_order", "args": {"order_id": 2018}}, {"tool": "cancel_order", "args": {"order_id": 2023}} ]
wrongagentic.tools.ledger-v1conf 100% · 538ms · $0.000 · 256 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $787
- alpha: $152
- delta: $615

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $443 from "echo" to "alpha"
2. pay $228 from "alpha" to "echo"
3. pay $521 from "alpha" to "echo"
4. pay $238 from "delta" 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": "echo", "to": "alpha", "amount": 443 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "echo", "amount": 228 } }, { "tool": "top_up_from_reserve", "args": { "account": "alpha", "amount": 167 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "echo", "amount": 521 } }, { "tool": "transfer", "args": { "from": "delta", "to": "alpha", "amount": 238 } } ]
correctagentic.tools.triage-v1conf 100% · 268ms · $0.001 · 284 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 → silva
- payments → chen
- infra → rivera

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 2)
2. "dashboard shows stale numbers" (category: data, priority 2)
3. "uploads failing intermittently" (category: infra, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 2 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "uploads failing intermittently", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "rivera" } } ]
correctagentic.tools.deploy-v1conf 100% · 288ms · $0.000 · 113 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: auth-svc, reports
- search: auth-svc, reports
- auth-svc: (none)
- reports: auth-svc

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}} ]
correctagentic.tools.triage-v1conf 100% · 261ms · $0.001 · 441 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → haddad
- data → dubois
- infra → rivera

INCIDENTS:
1. "cannot reset password" (category: auth, priority 7)
2. "export file corrupted" (category: data, priority 8)
3. "webhooks not delivered" (category: infra, priority 9)
4. "export file corrupted" (category: data, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "cannot reset password", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-3" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 8 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-2" } } ]
wrongagentic.tools.ledger-v1conf 100% · 214ms · $0.001 · 351 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $308
- tango: $351
- delta: $447

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $163 from "tango" to "delta"
2. pay $580 from "tango" to "kilo"
3. pay $382 from "tango" to "delta"
4. pay $455 from "tango" 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": "tango", "to": "delta", "amount": 163 } }, { "tool": "top_up_from_reserve", "args": { "account": "tango", "amount": 452 } }, { "tool": "transfer", "args": { "from": "tango", "to": "kilo", "amount": 580 } }, { "tool": "top_up_from_reserve", "args": { "account": "tango", "amount": 382 } }, { "tool": "transfer", "args": { "from": "tango", "to": "delta", "amount": 382 } }, { "tool": "top_up_from_reserve", "args": { "account": "tango", "amount": 455 } }, { "tool": "transfer", "args": { "from": "tango", "to": "kilo", "amount": 455 } } ]
wrongagentic.tools.context-load-v1conf 100% · 265ms · $0.001 · 95 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (177 records, format: id|customer|region|item|qty|status):
```
2026|birch|east|gasket|43|pending
1437|acme|west|cable|15|pending
1582|fulton|west|rotor|60|paid
1653|ionic|west|pump|16|paid
2120|dorian|north|sensor|76|held
1668|gale|west|frame|27|held
1821|ember|north|panel|27|pending
1625|juno|east|valve|24|paid
1572|ember|east|cable|19|pending
1865|juno|east|valve|66|held
1889|birch|north|valve|66|shipped
1872|cobalt|south|frame|63|pending
1530|juno|south|sensor|45|held
1925|ember|north|gasket|23|held
1709|birch|north|gasket|34|paid
1589|gale|west|gasket|69|pending
1942|acme|north|gasket|74|shipped
1799|cobalt|east|cable|34|held
1983|gale|south|gasket|50|paid
2102|acme|west|gasket|39|shipped
1576|acme|south|rotor|95|held
2097|harbor|east|sensor|48|paid
1791|fulton|east|panel|51|shipped
1784|harbor|south|gasket|39|paid
1849|harbor|west|cable|19|pending
1645|harbor|west|cable|56|paid
1860|fulton|east|cable|23|held
1466|acme|east|gasket|49|pending
1712|ionic|north|pump|52|paid
1654|ionic|east|gasket|45|held
1762|gale|west|gasket|89|shipped
1904|gale|east|sensor|94|pending
1454|acme|west|pump|35|pending
2074|ionic|east|panel|83|paid
2142|cobalt|east|sensor|29|held
2038|ionic|south|cable|29|shipped
1952|fulton|west|gasket|87|shipped
1769|cobalt|south|rotor|18|pending
2129|birch|east|sensor|40|held
1596|gale|east|pump|44|held
2031|dorian|south|rotor|60|held
1757|cobalt|west|sensor|77|shipped
1932|acme|south|pump|22|held
1990|dorian|south|panel|49|paid
1874|juno|north|sensor|95|held
2092|dorian|east|sensor|28|shipped
2068|acme|east|cable|47|held
1836|dorian|west|pump|32|paid
1636|birch|west|gasket|57|paid
1670|ionic|south|rotor|45|pending
2141|harbor|west|pump|11|shipped
1447|acme|west|frame|89|shipped
1633|harbor|east|sensor|65|held
1724|ember|north|gasket|68|paid
1829|cobalt|west|valve|60|shipped
1639|dorian|south|frame|88|held
1598|acme|north|rotor|52|paid
1647|birch|east|frame|17|paid
2008|acme|west|cable|29|pending
1961|ember|east|cable|82|held
1963|acme|east|panel|96|shipped
1881|dorian|west|cable|45|paid
2042|gale|south|frame|39|held
1497|acme|east|cable|36|held
1441|acme|south|pump|17|pending
1958|birch|south|pump|15|held
1607|ember|south|panel|56|paid
1558|gale|east|pump|34|pending
2056|cobalt|north|sensor|72|paid
1824|birch|south|frame|54|held
1845|birch|south|rotor|65|shipped
1750|ionic|east|panel|86|pending
1493|ember|north|sensor|69|held
1713|dorian|west|panel|42|paid
1918|ionic|west|pump|55|paid
1458|acme|west|pump|35|shipped
1676|gale|north|cable|42|paid
2134|juno|west|rotor|21|held
1986|ionic|south|panel|42|paid
2087|birch|south|rotor|52|held
2048|dorian|east|gasket|84|pending
1679|acme|west|frame|86|held
2138|gale|east|gasket|92|shipped
1504|dorian|west|rotor|36|paid
2096|cobalt|south|pump|88|held
1579|fulton|north|pump|46|pending
1608|fulton|north|pump|64|paid
1569|harbor|east|frame|17|pending
1663|birch|south|panel|19|shipped
1733|birch|north|rotor|57|shipped
1434|acme|west|panel|40|held
1817|acme|east|rotor|46|held
2109|gale|north|frame|66|held
1998|harbor|east|pump|87|shipped
1935|juno|east|sensor|35|pending
1895|birch|north|frame|73|pending
2019|acme|north|rotor|88|held
2076|fulton|east|gasket|80|paid
1539|acme|west|frame|69|paid
1897|cobalt|west|frame|53|shipped
1482|dorian|north|rotor|62|paid
1722|cobalt|west|panel|95|paid
1592|ionic|west|gasket|32|shipped
1517|dorian|south|gasket|87|paid
1777|dorian|east|panel|28|paid
1811|birch|west|frame|52|held
1566|cobalt|south|valve|41|paid
1624|cobalt|south|rotor|52|held
1977|juno|north|sensor|82|paid
1563|ember|east|gasket|45|shipped
1553|gale|south|valve|17|paid
1748|birch|west|frame|84|shipped
2053|cobalt|east|panel|85|paid
1887|ember|west|sensor|34|held
2004|birch|west|panel|35|held
1693|acme|east|valve|68|paid
1943|birch|east|panel|40|held
1424|acme|west|pump|47|pending
1455|acme|east|frame|98|pending
1911|gale|west|sensor|39|held
1483|juno|north|pump|85|held
1707|acme|south|panel|53|pending
1699|juno|south|pump|17|pending
1751|ionic|north|pump|81|held
1546|dorian|south|rotor|60|paid
1939|harbor|south|valve|16|shipped
1975|ember|south|valve|82|pending
1479|acme|west|cable|68|shipped
1866|juno|east|sensor|17|held
1775|harbor|east|gasket|44|shipped
1431|acme|north|cable|58|pending
1614|juno|west|valve|70|paid
2122|ionic|east|panel|86|pending
1659|acme|south|pump|59|shipped
1536|ionic|north|rotor|72|shipped
1464|acme|west|sensor|36|pending
1844|ionic|west|rotor|64|shipped
1488|birch|east|rotor|65|paid
1717|ember|south|frame|57|paid
1629|cobalt|south|valve|93|shipped
1471|acme|west|rotor|53|held
1968|harbor|west|cable|31|shipped
1511|acme|north|rotor|21|paid
1804|acme|east|panel|89|shipped
1842|birch|east|sensor|20|pending
1552|juno|south|panel|15|held
1792|ionic|south|sensor|97|pending
1705|harbor|north|panel|65|held
1600|fulton|north|rotor|96|pending
1523|harbor|south|sensor|51|held
1723|birch|south|cable|60|shipped
1856|dorian|north|valve|74|pending
1730|acme|east|panel|73|shipped
2012|dorian|north|rotor|67|paid
1741|harbor|west|gasket|18|paid
1617|fulton|east|pump|72|pending
1474|acme|west|valve|96|pending
1501|gale|south|cable|13|held
1657|dorian|east|sensor|24|pending
1701|birch|east|valve|72|pending
1837|birch|west|gasket|40|shipped
1684|harbor|east|valve|25|paid
1690|dorian|south|rotor|28|held
2082|gale|south|sensor|16|held
1475|acme|east|gasket|72|pending
1716|ember|west|panel|55|paid
1949|acme|north|rotor|32|pending
1996|ember|south|sensor|54|held
2062|gale|west|frame|55|shipped
2094|dorian|south|panel|98|shipped
1960|harbor|north|rotor|31|held
1739|cobalt|south|valve|18|paid
2137|harbor|west|sensor|67|held
2123|ionic|east|gasket|13|shipped
1946|cobalt|north|frame|95|paid
1632|birch|east|sensor|62|paid
2113|acme|south|rotor|14|paid
```

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 > 50, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1437}}, {"tool": "restock", "args": {"item": "cable", "qty": 68}}, {"tool": "restock", "args": {"item": "valve", "qty": 96}} ]
correctagentic.tools.deploy-v1conf 100% · 295ms · $0.000 · 111 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
correctagentic.tools.triage-v1conf 100% · 230ms · $0.001 · 371 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → haddad
- payments → rivera
- auth → novak

INCIDENTS:
1. "export file corrupted" (category: data, priority 6)
2. "card declined at checkout" (category: payments, priority 4)
3. "SSO loop on login" (category: auth, priority 5)
4. "card declined at checkout" (category: payments, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "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": "SSO loop on login", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-2" } } ]
wrongagentic.tools.ledger-v1conf 100% · 199ms · $0.000 · 258 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: $898
- oscar: $409
- delta: $882

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $570 from "lima" to "delta"
2. pay $132 from "oscar" to "delta"
3. pay $346 from "delta" to "oscar"
4. pay $243 from "lima" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "transfer", "args": { "from": "lima", "to": "delta", "amount": 570 } }, { "tool": "transfer", "args": { "from": "oscar", "to": "delta", "amount": 132 } }, { "tool": "transfer", "args": { "from": "delta", "to": "oscar", "amount": 346 } }, { "tool": "top_up_from_reserve", "args": { "account": "lima", "amount": 85 } }, { "tool": "transfer", "args": { "from": "lima", "to": "oscar", "amount": 243 } } ]
wrongagentic.tools.context-load-v1conf 98% · 200ms · $0.001 · 90 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 (147 records, format: id|customer|region|item|qty|status):
```
1636|birch|north|frame|57|held
1486|ember|east|cable|40|held
1745|gale|east|rotor|85|shipped
1513|cobalt|south|cable|88|held
1625|ember|south|gasket|48|pending
1390|ember|south|gasket|29|pending
1520|juno|east|cable|91|pending
1518|ember|south|frame|16|pending
1478|juno|north|valve|29|paid
1719|fulton|south|valve|38|held
1711|fulton|north|gasket|37|pending
1380|ionic|east|frame|23|shipped
1459|cobalt|east|gasket|94|shipped
1427|juno|north|pump|95|shipped
1627|gale|west|sensor|78|held
1594|fulton|south|valve|80|shipped
1537|juno|south|rotor|16|shipped
1721|gale|north|sensor|59|shipped
1525|birch|north|panel|28|paid
1434|cobalt|west|sensor|99|shipped
1276|ionic|east|rotor|50|pending
1466|cobalt|east|rotor|17|pending
1725|juno|south|panel|92|paid
1372|juno|west|frame|66|shipped
1549|birch|north|cable|17|paid
1224|acme|north|pump|41|pending
1598|birch|north|sensor|82|paid
1289|cobalt|west|gasket|40|held
1616|juno|west|gasket|74|pending
1443|ionic|east|panel|11|paid
1507|ember|west|valve|93|paid
1286|birch|west|cable|84|shipped
1271|juno|west|rotor|24|held
1567|harbor|north|rotor|15|pending
1335|acme|south|sensor|93|shipped
1247|harbor|south|gasket|14|shipped
1657|cobalt|south|cable|64|held
1198|acme|south|cable|75|pending
1700|ionic|west|pump|72|paid
1642|juno|east|pump|80|shipped
1562|acme|north|pump|43|paid
1715|dorian|west|panel|24|pending
1593|juno|west|cable|51|shipped
1553|acme|north|pump|87|pending
1575|acme|west|frame|74|pending
1370|dorian|west|gasket|36|pending
1307|gale|north|valve|32|pending
1449|juno|west|gasket|64|held
1251|juno|west|cable|20|pending
1585|juno|south|cable|39|pending
1337|acme|south|valve|61|held
1472|harbor|north|panel|69|paid
1407|cobalt|east|cable|52|shipped
1680|juno|north|valve|34|pending
1610|harbor|west|sensor|45|shipped
1199|acme|west|valve|86|pending
1667|birch|north|valve|28|paid
1589|gale|north|valve|31|paid
1401|fulton|west|pump|58|paid
1383|dorian|west|cable|10|shipped
1602|ember|south|rotor|81|paid
1604|juno|west|pump|93|pending
1543|juno|north|panel|46|shipped
1479|fulton|south|pump|86|shipped
1346|ionic|west|pump|90|shipped
1632|fulton|south|pump|30|paid
1690|acme|east|valve|83|paid
1510|ember|north|pump|54|paid
1203|acme|south|frame|19|paid
1242|birch|north|rotor|63|held
1301|fulton|east|frame|89|shipped
1362|ionic|west|sensor|34|pending
1417|dorian|west|rotor|58|pending
1326|juno|north|cable|46|pending
1349|gale|east|valve|43|shipped
1639|ionic|east|gasket|61|shipped
1656|ember|north|sensor|86|held
1500|fulton|west|panel|16|paid
1297|harbor|south|pump|14|shipped
1220|acme|south|cable|60|shipped
1559|ember|west|rotor|94|pending
1612|ember|south|sensor|17|paid
1524|cobalt|east|pump|18|held
1516|birch|north|pump|28|held
1208|acme|south|valve|59|pending
1649|fulton|north|cable|52|held
1608|ember|north|sensor|88|held
1413|fulton|north|panel|26|held
1424|juno|west|sensor|10|paid
1531|gale|south|gasket|84|held
1352|juno|north|sensor|41|paid
1365|cobalt|east|frame|97|pending
1663|fulton|west|rotor|40|shipped
1455|acme|east|sensor|86|held
1572|harbor|west|pump|22|shipped
1581|cobalt|east|frame|35|paid
1422|ionic|north|panel|73|held
1695|juno|west|sensor|82|held
1732|acme|west|rotor|87|shipped
1621|ember|west|pump|87|shipped
1696|birch|north|panel|34|pending
1426|dorian|south|frame|79|shipped
1355|harbor|west|valve|97|pending
1262|juno|east|valve|67|shipped
1483|fulton|west|pump|59|shipped
1238|dorian|south|pump|16|shipped
1231|acme|south|cable|63|shipped
1215|acme|east|gasket|74|pending
1643|cobalt|east|gasket|85|held
1733|birch|west|sensor|56|shipped
1669|acme|east|panel|46|held
1321|fulton|south|sensor|98|shipped
1688|birch|north|cable|48|held
1314|juno|south|frame|38|shipped
1441|ionic|north|panel|43|paid
1334|birch|east|pump|70|held
1742|fulton|north|sensor|19|paid
1235|dorian|east|valve|92|paid
1454|harbor|west|rotor|44|shipped
1693|ember|north|rotor|49|shipped
1628|dorian|south|panel|46|shipped
1699|dorian|north|frame|85|paid
1333|gale|south|panel|87|paid
1738|cobalt|east|valve|24|held
1265|ionic|north|pump|56|held
1398|harbor|north|rotor|20|held
1351|fulton|west|panel|29|pending
1354|ionic|east|rotor|46|pending
1599|cobalt|west|rotor|84|pending
1684|dorian|south|pump|56|paid
1255|harbor|north|pump|81|pending
1744|harbor|east|gasket|14|pending
1705|birch|west|valve|88|paid
1279|juno|north|rotor|58|paid
1712|gale|south|pump|16|paid
1505|gale|south|sensor|96|paid
1292|fulton|north|panel|74|pending
1222|acme|south|gasket|39|pending
1396|ionic|south|valve|57|shipped
1340|harbor|south|sensor|28|held
1484|birch|east|rotor|80|pending
1375|cobalt|north|gasket|35|pending
1493|ember|south|valve|23|paid
1676|ionic|east|valve|94|paid
1243|birch|south|panel|79|shipped
1570|fulton|east|valve|32|pending
1702|ionic|east|pump|50|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "cable", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1208}}, {"tool": "cancel_order", "args": {"order_id": 1222}} ]
wrongagentic.tools.ledger-v1conf 100% · 202ms · $0.000 · 261 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $678
- oscar: $666
- alpha: $711

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $104 from "alpha" to "oscar"
2. pay $162 from "oscar" to "tango"
3. pay $138 from "oscar" to "alpha"
4. pay $232 from "oscar" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "transfer", "args": { "from": "alpha", "to": "oscar", "amount": 104 } }, { "tool": "transfer", "args": { "from": "oscar", "to": "tango", "amount": 162 } }, { "tool": "transfer", "args": { "from": "oscar", "to": "alpha", "amount": 138 } }, { "tool": "top_up_from_reserve", "args": { "account": "oscar", "amount": 98 } }, { "tool": "transfer", "args": { "from": "oscar", "to": "alpha", "amount": 232 } } ]
correctagentic.tools.deploy-v1conf 100% · 193ms · $0.000 · 116 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
wrongagentic.tools.context-load-v1conf 100% · 268ms · $0.006 · 3523 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 (171 records, format: id|customer|region|item|qty|status):
```
1588|birch|north|valve|46|paid
2077|ember|south|gasket|50|held
1826|cobalt|north|sensor|59|pending
1845|birch|west|sensor|37|paid
2102|ionic|north|sensor|80|shipped
2070|birch|west|rotor|71|pending
1997|harbor|west|sensor|31|pending
1761|ember|north|cable|17|pending
1842|gale|east|cable|55|shipped
1526|dorian|west|rotor|49|paid
1900|gale|south|rotor|61|pending
1665|dorian|east|cable|63|shipped
1480|ionic|north|panel|62|pending
1772|dorian|south|rotor|72|held
1696|acme|west|pump|48|paid
1879|dorian|north|pump|90|shipped
1437|ionic|west|valve|34|pending
2058|cobalt|south|sensor|37|paid
1544|acme|south|gasket|21|shipped
1895|dorian|west|panel|77|pending
1542|gale|west|frame|98|held
1982|gale|west|sensor|93|held
1618|dorian|east|sensor|52|pending
1610|gale|west|gasket|66|shipped
1720|birch|south|frame|55|pending
2106|ember|south|frame|26|shipped
1796|gale|east|panel|85|paid
1580|birch|east|cable|99|shipped
1807|juno|west|sensor|93|paid
1500|harbor|east|gasket|11|paid
1592|harbor|north|sensor|41|held
1727|ember|east|sensor|72|held
1785|fulton|west|cable|14|paid
1956|harbor|east|panel|50|pending
1567|ember|south|frame|52|shipped
1990|harbor|south|rotor|31|held
1443|ionic|north|cable|60|pending
1802|ember|west|valve|63|pending
1462|ionic|north|panel|33|pending
1932|ember|south|rotor|54|held
1612|cobalt|west|pump|61|shipped
1786|cobalt|west|gasket|23|held
1625|gale|west|panel|66|held
1543|birch|west|gasket|93|paid
1456|ionic|north|valve|77|paid
1768|harbor|north|valve|74|held
1435|ionic|north|panel|79|pending
2095|ember|south|panel|45|held
1987|fulton|south|valve|11|paid
1555|ionic|north|pump|42|paid
2006|acme|north|rotor|20|paid
2094|harbor|west|gasket|79|pending
1671|dorian|south|gasket|71|pending
1976|ember|east|valve|41|held
1663|juno|north|pump|80|shipped
1484|gale|west|frame|65|held
1627|acme|east|rotor|74|shipped
1746|juno|north|panel|17|paid
1604|juno|south|frame|41|held
1971|gale|north|pump|69|paid
1755|harbor|north|cable|17|paid
1869|ember|west|gasket|53|pending
1568|juno|north|panel|58|pending
1442|ionic|north|gasket|56|shipped
1824|fulton|west|rotor|79|pending
1425|ionic|north|valve|63|pending
1560|gale|west|rotor|32|shipped
1597|fulton|east|valve|37|held
2042|cobalt|west|valve|26|shipped
1596|juno|north|panel|34|shipped
1520|juno|south|sensor|62|paid
1505|harbor|east|rotor|37|paid
1677|fulton|east|gasket|12|pending
1637|harbor|west|pump|22|shipped
1473|ionic|north|rotor|78|paid
1999|gale|south|panel|89|shipped
1483|ionic|north|valve|16|shipped
2111|ionic|north|panel|83|paid
1426|ionic|west|cable|22|pending
1797|ember|west|cable|13|shipped
2028|ember|north|sensor|71|paid
1925|fulton|east|sensor|91|paid
1777|dorian|north|panel|94|shipped
1993|acme|south|frame|62|held
1562|gale|east|frame|92|shipped
1812|dorian|north|rotor|51|pending
2014|dorian|south|pump|78|held
1690|juno|south|valve|53|shipped
1763|birch|south|rotor|94|held
1660|ember|west|sensor|86|held
1789|ionic|west|pump|10|pending
1820|ember|south|valve|72|pending
2089|fulton|west|frame|93|held
2065|cobalt|south|panel|31|paid
1904|juno|north|pump|91|pending
1740|ionic|north|valve|16|shipped
1482|ionic|east|panel|69|pending
2022|juno|west|rotor|56|paid
1589|harbor|south|sensor|27|shipped
1856|ember|north|cable|71|pending
1836|cobalt|east|gasket|55|pending
1561|gale|east|frame|50|paid
1702|juno|south|rotor|10|held
1888|gale|south|panel|62|held
1587|birch|west|panel|85|held
1915|ionic|south|panel|47|shipped
1574|birch|south|panel|88|pending
1710|ionic|north|valve|25|pending
1838|harbor|east|pump|66|paid
1695|gale|south|valve|62|shipped
1638|cobalt|south|cable|76|held
1795|birch|east|cable|12|shipped
1632|cobalt|south|frame|98|shipped
1450|ionic|west|panel|28|pending
1591|juno|north|sensor|74|pending
1716|cobalt|west|sensor|93|pending
1874|dorian|south|pump|90|pending
1516|fulton|north|panel|37|held
1630|dorian|west|frame|67|pending
1751|fulton|south|panel|68|paid
1430|ionic|north|sensor|57|shipped
1817|ionic|west|sensor|48|paid
1708|acme|east|gasket|13|pending
1951|fulton|west|panel|12|pending
2048|ionic|north|sensor|52|pending
2035|birch|east|panel|32|paid
1992|birch|east|valve|44|shipped
1532|gale|north|frame|49|shipped
1886|acme|north|frame|85|held
2013|gale|north|gasket|54|shipped
2053|ember|south|sensor|13|shipped
1602|gale|south|valve|56|held
1493|dorian|west|valve|76|pending
1537|harbor|east|panel|20|shipped
1576|fulton|east|sensor|49|pending
1664|cobalt|east|rotor|31|shipped
1892|gale|east|gasket|83|held
1509|gale|east|rotor|71|pending
1914|acme|west|gasket|79|shipped
1721|dorian|west|sensor|71|pending
1718|gale|north|pump|27|paid
2060|ember|west|gasket|89|paid
1959|ember|north|panel|41|held
1758|ember|south|rotor|68|paid
1519|acme|south|valve|52|held
2082|ionic|east|pump|69|shipped
2021|acme|west|panel|66|shipped
1922|ember|east|rotor|60|shipped
1490|dorian|west|cable|54|pending
1964|gale|south|sensor|37|shipped
1944|gale|west|frame|56|pending
1734|dorian|east|gasket|47|shipped
1654|acme|north|cable|84|pending
1863|acme|east|frame|42|pending
1910|cobalt|south|frame|35|paid
1635|juno|east|frame|44|pending
1548|cobalt|west|frame|19|shipped
1784|fulton|north|valve|93|shipped
1937|juno|north|pump|10|shipped
1644|birch|west|gasket|60|pending
1947|ember|north|panel|51|held
1864|ember|east|rotor|81|held
1954|ionic|north|valve|68|held
1662|cobalt|south|valve|15|shipped
1647|gale|north|pump|97|pending
1683|dorian|east|valve|56|shipped
1850|acme|east|panel|57|pending
1831|fulton|west|frame|13|held
1468|ionic|south|cable|80|pending
1774|birch|east|valve|52|pending
1511|harbor|south|valve|93|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 > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1425}}, {"tool": "restock", "args": {"item": "cable", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1430}}, {"tool": "cancel_order", "args": {"order_id": 1435}}, {"tool": "cancel_order", "args": {"order_id": 1442}}, {"tool": "cancel_order", "args": {"order_id": 1443}}, {"tool": "cancel_order", "args": {"order_id": 1456}}, {"tool": "cancel_order", "args": {"order_id": 1462}}, {"tool": "cancel_order", "args": {"order_id": 1473}}, {"tool": "cancel_order", "args": {"order_id": 1480}}, {"tool": "cancel_order", "args": {"order_id": 1483}}, {"tool": "cancel_order", "args": {"order_id": 1490}}, {"tool": "cancel_order", "args": {"order_id": 1500}}, {"tool": "cancel_order", "args": {"order_id": 1505}}, {"tool": "cancel_order", "args": {"order_id": 1516}}, {"tool": "cancel_order", "args": {"order_id": 1520}}, {"tool": "cancel_order", "args": {"order_id": 1532}}, {"tool": "cancel_order", "args": {"order_id": 1542}}, {"tool": "cancel_order", "args": {"order_id": 1543}}, {"tool": "cancel_order", "args": {"order_id": 1544}}, {"tool": "cancel_order", "args": {"order_id": 1555}}, {"tool": "cancel_order", "args": {"order_id": 1560}}, {"tool": "cancel_order", "args": {"order_id": 1561}}, {"tool": "cancel_order", "args": {"order_id": 1562}}, {"tool": "cancel_order", "args": {"order_id": 1567}}, {"tool": "cancel_order", "args": {"order_id": 1568}}, {"tool": "cancel_order", "args": {"order_id": 1574}}, {"tool": "cancel_order", "args": {"order_id": 1576}}, {"tool": "cancel_order", "args": {"order_id": 1580}}, {"tool": "cancel_order", "args": {"order_id": 1587}}, {"tool": "cancel_order", "args": {"order_id": 1588}}, {"tool": "cancel_order", "args": {"order_id": 1589}}, {"tool": "cancel_order", "args": {"order_id": 1591}}, {"tool": "cancel_order", "args": {"order_id": 1592}}, {"tool": "cancel_order", "args": {"order_id": 1596}}, {"tool": "cancel_order", "args": {"order_id": 1597}}, {"tool": "cancel_order", "args": {"order_id": 1602}}, {"tool": "cancel_order", "args": {"order_id": 1604}}, {"tool": "cancel_order", "args": {"order_id": 1610}}, {"tool": "cancel_order", "args": {"order_id": 1612}}, {"tool": "cancel_order", "args": {"order_id": 1618}}, {"tool": "cancel_order", "args": {"order_id": 1625}}, {"tool": "cancel_order", "args": {"order_id": 1627}}, {"tool": "cancel_order", "args": {"order_id": 1630}}, {"tool": "cancel_order", "args": {"order_id": 1632}}, {"tool": "cancel_order", "args": {"order_id": 1635}}, {"tool": "cancel_order", "args": {"order_id": 1637}}, {"tool": "cancel_order", "args": {"order_id": 1638}}, {"tool": "cancel_order", "args": {"order_id": 1644}}, {"tool": "cancel_order", "args": {"order_id": 1647}}, {"tool": "cancel_order", "args": {"order_id": 1654}}, {"tool": "cancel_order", "args": {"order_id": 1660}}, {"tool": "cancel_order", "args": {"order_id": 1662}}, {"tool": "cancel_order", "args": {"order_id": 1663}}, {"tool": "cancel_order", "args": {"order_id": 1664}}, {"tool": "cancel_order", "args": {"order_id": 1665}}, {"tool": "cancel_order", "args": {"order_id": 1671}}, {"tool": "cancel_order", "args": {"order_id": 1677}}, {"tool": "cancel_order", "args": {"order_id": 1683}}, {"tool": "cancel_order", "args": {"order_id": 1690}}, {"tool": "cancel_order", "args": {"order_id": 1695}}, {"tool": "cancel_order", "args": {"order_id": 1696}}, {"tool": "cancel_order", "args": {"order_id": 1702}}, {"tool": "cancel_order", "args": {"order_id": 1708}}, {"tool": "cancel_order", "args": {"order_id": 1710}}, {"tool": "cancel_order", "args": {"order_id": 1716}}, {"tool": "cancel_order", "args": {"order_id": 1718}}, {"tool": "cancel_order", "args": {"order_id": 1720}}, {"tool": "cancel_order", "args": {"order_id": 1721}}, {"tool": "cancel_order", "args": {"order_id": 1727}}, {"tool": "cancel_order", "args": {"order_id": 1734}}, {"tool": "cancel_order", "args": {"order_id": 1740}}, {"tool": "cancel_order", "args": {"order_id": 1746}}, {"tool": "cancel_order", "args": {"order_id": 1751}}, {"tool": "cancel_order", "args": {"order_id": 1755}}, {"tool": "cancel_order", "args": {"order_id": 1758}}, {"tool": "cancel_order", "args": {"order_id": 1761}}, {"tool": "cancel_order", "args": {"order_id": 1763}}, {"tool": "cancel_order", "args": {"order_id": 1768}}, {"tool": "cancel_order", "args": {"order_id": 1772}}, {"tool": "cancel_order", "args": {"order_id": 1774}}, {"tool": "cancel_order", "args": {"order_id": 1777}}, {"tool": "cancel_order", "args": {"order_id": 1784}}, {"tool": "cancel_order", "args": {"order_id": 1785}}, {"tool": "cancel_order", "args": {"order_id": 1786}}, {"tool": "cancel_order", "args": {"order_id": 1789}}, {"tool": "cancel_order", "args": {"order_id": 1795}}, {"tool": "cancel_order", "args": {"order_id": 1796}}, {"tool": "cancel_order", "args": {"order_id": 1797}}, {"tool": "cancel_order", "args": {"order_id": 1802}}, {"tool": "cancel_order", "args": {"order_id": 1807}}, {"tool": "cancel_order", "args": {"order_id": 1812}}, {"tool": "cancel_order", "args": {"order_id": 1817}}, {"tool": "cancel_order", "args": {"order_id": 1820}}, {"tool": "cancel_order", "args": {"order_id": 1824}}, {"tool": "cancel_order", "args": {"order_id": 1826}}, {"tool": "cancel_order", "args": {"order_id": 1831}}, {"tool": "cancel_order", "args": {"order_id": 1836}}, {"tool": "cancel_order", "args": {"order_id": 1838}}, {"tool": "cancel_order", "args": {"order_id": 1842}}, {"tool": "cancel_order", "args": {"order_id": 1845}}, {"tool": "cancel_order", "args": {"order_id": 1850}}, {"tool": "cancel_order", "args": {"order_id": 1856}}, {"tool": "cancel_order", "args": {"order_id": 1863}}, {"tool": "cancel_order", "args": {"order_id": 1864}}, {"tool": "cancel_order", "args": {"order_id": 1869}}, {"tool": "cancel_order", "args": {"order_id": 1874}}, {"tool": "cancel_order", "args": {"order_id": 1879}}, {"tool": "cancel_order", "args": {"order_id": 1886}}, {"tool": "cancel_order", "args": {"order_id": 1888}}, {"tool": "cancel_order", "args": {"order_id": 1892}}, {"tool": "cancel_order", "args": {"order_id": 1895}}, {"tool": "cancel_order", "args": {"order_id": 1900}}, {"tool": "cancel_order", "args": {"order_id": 1904}}, {"tool": "cancel_order", "args": {"order_id": 1910}}, {"tool": "cancel_order", "args": {"order_id": 1914}}, {"tool": "cancel_order", "args": {"order_id": 1915}}, {"tool": "cancel_order", "args": {"order_id": 1922}}, {"tool": "cancel_order", "args": {"order_id": 1925}}, {"tool": "cancel_order", "args": {"order_id": 1932}}, {"tool": "cancel_order", "args": {"order_id": 1937}}, {"tool": "cancel_order", "args": {"order_id": 1944}}, {"tool": "cancel_order", "args": {"order_id": 1947}}, {"tool": "cancel_order", "args": {"order_id": 1951}}, {"tool": "cancel_order", "args": {"order_id": 1954}}, {"tool": "cancel_order", "args": {"order_id": 1956}}, {"tool": "cancel_order", "args": {"order_id": 1959}}, {"tool": "cancel_order", "args": {"order_id": 1964}}, {"tool": "cancel_order", "args": {"order_id": 1971}}, {"tool": "cancel_order", "args": {"order_id": 1976}}, {"tool": "cancel_order", "args": {"order_id": 1982}}, {"tool": "cancel_order", "args": {"order_id": 1987}}, {"tool": "cancel_order", "args": {"order_id": 1990}}, {"tool": "cancel_order", "args": {"order_id": 1992}}, {"tool": "cancel_order", "args": {"order_id": 1993}}, {"tool": "cancel_order", "args": {"order_id": 1997}}, {"tool": "cancel_order", "args": {"order_id": 1999}}, {"tool": "cancel_order", "args": {"order_id": 2006}}, {"tool": "cancel_order", "args": {"order_id": 2013}}, {"tool": "cancel_order", "args": {"order_id": 2014}}, {"tool": "cancel_order", "args": {"order_id": 2021}}, {"tool": "cancel_order", "args": {"order_id": 2022}}, {"tool": "cancel_order", "args": {"order_id": 2028}}, {"tool": "cancel_order", "args": {"order_id": 2035}}, {"tool": "cancel_order", "args": {"order_id": 2042}}, {"tool": "cancel_order", "args": {"order_id": 2048}}, {"tool": "cancel_order", "args": {"order_id": 2053}}, {"tool": "cancel_order", "args": {"order_id": 2058}}, {"tool": "cancel_order", "args": {"order_id": 2060}}, {"tool": "cancel_order", "args": {"order_id": 2065}}, {"tool": "cancel_order", "args": {"order_id": 2070}}, {"tool": "cancel_order", "args": {"order_id": 2077}}, {"tool": "cancel_order", "args": {"order_id": 2082}}, {"tool": "cancel_order", "args": {"order_id": 2089}}, {"tool": "cancel_order", "args": {"order_id": 2094}}, {"tool": "cancel_order", "args": {"order_id": 2095}}, {"tool": "cancel_order", "args": {"order_id": 2102}}, {"tool": "cancel_order", "args": {"order_id": 2106}}, {"tool": "cancel_order", "args": {"order_id": 2111}} ]
correctagentic.tools.triage-v1conf 100% · 219ms · $0.001 · 404 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → tanaka
- data → silva
- infra → chen

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 9)
2. "export file corrupted" (category: data, priority 5)
3. "export file corrupted" (category: data, priority 5)
4. "refund double-charged" (category: payments, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 5 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "tanaka" } } ]
wrongagentic.tools.context-load-v1conf 95% · 249ms · $0.001 · 94 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 (120 records, format: id|customer|region|item|qty|status):
```
1246|birch|west|valve|91|held
1540|juno|west|pump|41|paid
1387|ionic|east|sensor|83|pending
1272|harbor|north|cable|11|pending
1469|birch|south|frame|57|held
1135|acme|north|valve|84|pending
1352|ionic|west|gasket|72|shipped
1486|dorian|south|pump|30|shipped
1210|acme|east|panel|61|held
1298|cobalt|west|panel|21|paid
1557|juno|east|rotor|29|pending
1291|ionic|west|rotor|27|shipped
1233|birch|north|rotor|58|shipped
1579|birch|west|frame|71|held
1330|juno|south|pump|11|paid
1189|birch|west|gasket|91|held
1438|acme|north|cable|49|paid
1551|dorian|east|frame|94|paid
1237|harbor|east|panel|79|pending
1286|juno|south|pump|32|paid
1537|ionic|east|pump|44|shipped
1324|harbor|west|sensor|29|held
1376|gale|east|pump|43|paid
1571|acme|south|gasket|94|held
1228|acme|west|gasket|59|pending
1509|birch|south|valve|83|paid
1544|cobalt|east|frame|87|pending
1394|ember|north|gasket|40|shipped
1412|juno|east|pump|71|shipped
1377|ember|north|pump|39|held
1501|juno|north|panel|39|held
1492|ionic|west|cable|53|held
1507|birch|west|panel|39|held
1410|acme|south|sensor|81|paid
1340|gale|north|gasket|37|pending
1369|gale|south|gasket|39|paid
1411|birch|east|pump|35|shipped
1259|dorian|south|pump|43|paid
1526|juno|east|pump|91|paid
1468|fulton|west|pump|52|shipped
1314|cobalt|west|valve|28|held
1150|acme|south|frame|99|pending
1572|birch|south|cable|42|pending
1127|acme|west|pump|94|pending
1221|birch|west|panel|70|shipped
1219|dorian|north|sensor|90|paid
1163|cobalt|east|sensor|50|paid
1426|juno|east|pump|37|pending
1194|birch|south|rotor|26|held
1121|acme|north|valve|47|pending
1532|gale|south|rotor|87|paid
1153|acme|north|rotor|24|held
1397|harbor|east|rotor|57|shipped
1461|ionic|south|gasket|19|shipped
1242|ember|south|sensor|14|shipped
1442|dorian|south|panel|98|paid
1552|ionic|north|sensor|44|shipped
1174|fulton|east|frame|20|held
1220|ember|south|panel|48|paid
1142|acme|east|panel|86|pending
1434|dorian|north|sensor|21|held
1107|acme|east|panel|47|pending
1490|birch|north|valve|20|shipped
1285|birch|south|cable|25|held
1256|juno|west|pump|53|shipped
1380|harbor|east|gasket|77|pending
1559|juno|north|valve|86|shipped
1114|acme|north|sensor|44|shipped
1573|dorian|north|cable|80|shipped
1252|juno|east|panel|83|paid
1170|acme|south|cable|37|shipped
1566|gale|south|cable|24|paid
1534|ember|west|sensor|29|paid
1212|cobalt|east|frame|87|paid
1199|fulton|south|valve|79|shipped
1447|ember|east|panel|76|shipped
1101|acme|north|rotor|85|pending
1427|gale|south|gasket|28|held
1358|juno|south|pump|34|shipped
1364|fulton|south|valve|10|held
1428|acme|west|cable|98|shipped
1519|fulton|west|panel|20|shipped
1335|juno|east|cable|80|paid
1148|acme|north|rotor|75|pending
1454|juno|north|rotor|17|pending
1323|ionic|south|panel|97|paid
1420|harbor|west|pump|36|held
1309|harbor|west|pump|94|pending
1178|acme|east|frame|66|shipped
1266|gale|east|gasket|70|held
1343|dorian|west|panel|84|paid
1207|ionic|east|rotor|59|pending
1403|ember|south|valve|41|held
1353|acme|east|cable|73|pending
1433|birch|south|frame|43|paid
1341|ember|south|valve|74|held
1319|ionic|east|valve|67|held
1580|gale|north|sensor|42|held
1499|harbor|east|pump|82|held
1332|dorian|north|cable|86|shipped
1182|fulton|north|sensor|41|pending
1206|fulton|east|pump|49|held
1144|acme|north|sensor|90|shipped
1279|fulton|east|frame|14|held
1157|ionic|south|cable|84|shipped
1484|harbor|east|valve|48|pending
1304|harbor|west|rotor|77|held
1245|ionic|west|panel|99|held
1415|juno|north|panel|83|shipped
1179|juno|south|valve|94|shipped
1188|gale|east|pump|25|held
1558|fulton|north|gasket|14|paid
1132|acme|north|sensor|51|paid
1472|gale|west|sensor|69|pending
1478|ember|north|valve|64|pending
1346|cobalt|east|valve|64|shipped
1404|fulton|west|rotor|19|pending
1297|dorian|east|pump|44|paid
1516|birch|north|rotor|88|shipped
1449|harbor|north|valve|30|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 1121}}, {"tool": "restock", "args": {"item": "rotor", "qty": 85}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}} ]
correctagentic.tools.deploy-v1conf 100% · 454ms · $0.000 · 181 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: reports, search
- auth-svc: billing
- search: 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "deploy", "args": { "service": "reports" } }, { "tool": "deploy", "args": { "service": "search" } }, { "tool": "deploy", "args": { "service": "billing" } }, { "tool": "deploy", "args": { "service": "auth-svc" } }, { "tool": "health_check", "args": { "service": "auth-svc" } } ]
wrongagentic.tools.context-load-v1conf 100% · 218ms · $0.003 · 1697 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 (166 records, format: id|customer|region|item|qty|status):
```
1720|fulton|west|gasket|59|paid
1919|dorian|north|cable|79|paid
1799|acme|east|sensor|96|pending
2082|harbor|east|frame|29|held
1875|birch|north|rotor|53|shipped
1559|gale|south|valve|59|shipped
1603|cobalt|east|sensor|46|paid
1630|ionic|south|rotor|19|pending
1948|ionic|east|panel|60|shipped
1468|birch|west|rotor|50|held
1540|gale|north|frame|30|paid
1806|birch|south|valve|36|paid
1529|fulton|south|pump|91|held
2065|juno|east|frame|85|held
1547|fulton|north|pump|74|shipped
1673|fulton|north|rotor|81|shipped
1617|harbor|east|frame|84|pending
2068|cobalt|south|rotor|61|held
1598|harbor|east|frame|32|pending
1891|ember|south|pump|88|pending
1852|ionic|north|cable|33|pending
1692|acme|east|sensor|58|pending
1565|ember|east|rotor|32|paid
1942|juno|south|cable|70|paid
1517|ionic|south|cable|99|paid
1677|cobalt|north|valve|74|pending
1856|acme|west|gasket|77|paid
1491|birch|west|frame|62|paid
1493|birch|west|frame|23|pending
1521|ionic|south|rotor|53|held
1477|birch|west|cable|43|held
1978|birch|north|cable|98|paid
1759|gale|north|gasket|64|shipped
1765|ember|west|pump|33|held
1989|cobalt|south|frame|52|pending
1961|juno|east|rotor|50|pending
2021|ember|south|frame|65|pending
1610|acme|west|valve|63|shipped
1621|dorian|north|sensor|35|held
1749|dorian|north|sensor|70|pending
1745|ionic|north|frame|21|shipped
1588|fulton|west|cable|78|held
1902|juno|south|sensor|53|held
1873|ember|north|gasket|94|shipped
1498|birch|north|sensor|65|pending
1953|fulton|west|sensor|90|held
1885|fulton|east|valve|50|shipped
1867|acme|north|rotor|77|pending
1489|birch|south|gasket|30|pending
1864|ember|east|frame|79|shipped
1936|fulton|south|gasket|78|shipped
1582|gale|north|valve|21|pending
1836|fulton|north|valve|32|held
1906|fulton|north|gasket|98|shipped
1508|birch|south|frame|19|pending
2026|birch|south|rotor|60|held
2115|dorian|west|panel|51|pending
1731|birch|north|valve|12|held
1798|fulton|south|cable|95|shipped
1700|ionic|north|cable|87|held
2033|juno|south|sensor|12|held
1773|dorian|east|panel|90|paid
1926|dorian|south|panel|73|paid
1657|dorian|north|valve|64|held
1994|juno|east|cable|92|shipped
1990|fulton|north|frame|97|pending
2074|ember|south|panel|31|pending
1462|birch|west|cable|78|pending
1890|acme|west|gasket|78|held
1911|harbor|west|pump|21|held
2066|acme|west|frame|87|shipped
1577|juno|west|rotor|18|shipped
2083|gale|north|gasket|79|shipped
1795|gale|north|pump|31|held
1930|juno|north|panel|55|pending
1652|dorian|south|panel|96|paid
1805|ionic|south|cable|47|paid
1996|gale|north|rotor|60|shipped
1600|fulton|north|pump|81|held
1699|harbor|south|gasket|75|paid
1472|birch|west|cable|49|pending
1596|acme|east|panel|28|held
1751|juno|east|panel|51|pending
1691|acme|west|valve|98|paid
2120|fulton|north|rotor|36|paid
1642|cobalt|west|panel|17|pending
2094|juno|west|sensor|26|paid
2109|acme|north|pump|80|pending
1934|harbor|north|gasket|77|paid
1810|fulton|east|sensor|67|held
1964|juno|east|gasket|30|shipped
1659|cobalt|south|frame|53|paid
2054|birch|east|valve|83|pending
1757|acme|east|gasket|99|held
2019|juno|west|panel|62|held
2105|cobalt|west|rotor|48|paid
1707|harbor|east|sensor|63|shipped
1874|harbor|south|valve|99|pending
2080|dorian|north|gasket|56|paid
1684|dorian|east|rotor|75|held
2099|acme|north|frame|51|paid
1515|birch|west|gasket|29|shipped
1569|birch|north|cable|49|pending
2009|gale|south|valve|60|shipped
1909|birch|south|cable|54|held
1969|harbor|west|rotor|77|held
1544|gale|north|valve|79|paid
1829|gale|south|gasket|37|held
1823|ionic|east|panel|24|pending
1792|gale|north|pump|78|paid
1542|juno|north|valve|97|pending
1500|birch|west|gasket|73|paid
1473|birch|north|cable|44|pending
1635|birch|east|sensor|12|held
1666|cobalt|north|gasket|37|shipped
2049|fulton|north|frame|90|shipped
2113|birch|south|cable|36|pending
1903|cobalt|east|sensor|76|paid
2000|ionic|south|pump|86|pending
1785|cobalt|south|rotor|35|shipped
2059|cobalt|north|sensor|77|paid
1724|ember|south|sensor|54|held
1572|ember|west|rotor|69|paid
1955|ionic|east|pump|33|held
1501|birch|west|panel|36|pending
1654|ember|south|pump|18|pending
1738|ember|north|frame|34|pending
1483|birch|west|gasket|96|pending
1647|gale|west|cable|85|held
1553|acme|north|pump|10|paid
2043|ember|east|frame|86|paid
1590|dorian|north|valve|38|pending
1713|harbor|west|pump|68|shipped
1840|acme|south|cable|78|shipped
1816|cobalt|north|sensor|56|held
1858|dorian|south|pump|88|shipped
2050|fulton|east|rotor|81|paid
1694|juno|west|frame|52|held
1525|ionic|east|valve|59|held
2088|ember|north|sensor|55|shipped
1915|ember|north|valve|79|pending
1881|ionic|north|gasket|85|held
2063|cobalt|west|cable|52|held
1534|harbor|north|rotor|26|paid
1769|juno|west|rotor|49|pending
1465|birch|east|cable|65|pending
1975|juno|west|cable|60|shipped
1580|ionic|north|pump|33|shipped
1663|gale|south|cable|29|pending
1778|harbor|south|valve|36|shipped
1985|gale|east|valve|46|held
1848|cobalt|north|frame|44|held
2037|acme|south|cable|59|pending
1855|dorian|west|gasket|25|pending
2006|gale|east|panel|95|pending
1820|birch|north|valve|31|paid
1626|fulton|west|gasket|23|pending
1527|fulton|south|cable|24|held
1623|gale|north|cable|53|pending
1573|juno|south|frame|90|paid
1847|gale|west|panel|83|held
1568|birch|east|cable|72|paid
2085|harbor|east|pump|74|held
1897|cobalt|south|rotor|57|held
2014|acme|east|pump|11|shipped
1959|gale|east|pump|59|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" 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": 1462}}, {"tool": "cancel_order", "args": {"order_id": 1472}}, {"tool": "restock", "args": {"item": "gasket", "qty": 96}}, {"tool": "cancel_order", "args": {"order_id": 1569}}, {"tool": "cancel_order", "args": {"order_id": 1580}}, {"tool": "cancel_order", "args": {"order_id": 1635}}, {"tool": "cancel_order", "args": {"order_id": 1663}}, {"tool": "cancel_order", "args": {"order_id": 1700}}, {"tool": "cancel_order", "args": {"order_id": 1731}}, {"tool": "cancel_order", "args": {"order_id": 1749}}, {"tool": "cancel_order", "args": {"order_id": 1759}}, {"tool": "cancel_order", "args": {"order_id": 1773}}, {"tool": "cancel_order", "args": {"order_id": 1798}}, {"tool": "cancel_order", "args": {"order_id": 1805}}, {"tool": "cancel_order", "args": {"order_id": 1829}}, {"tool": "cancel_order", "args": {"order_id": 1840}}, {"tool": "cancel_order", "args": {"order_id": 1847}}, {"tool": "cancel_order", "args": {"order_id": 1858}}, {"tool": "cancel_order", "args": {"order_id": 1881}}, {"tool": "cancel_order", "args": {"order_id": 1890}}, {"tool": "cancel_order", "args": {"order_id": 1902}}, {"tool": "cancel_order", "args": {"order_id": 1903}}, {"tool": "cancel_order", "args": {"order_id": 1906}}, {"tool": "cancel_order", "args": {"order_id": 1909}}, {"tool": "cancel_order", "args": {"order_id": 1911}}, {"tool": "cancel_order", "args": {"order_id": 1915}}, {"tool": "cancel_order", "args": {"order_id": 1926}}, {"tool": "cancel_order", "args": {"order_id": 1930}}, {"tool": "cancel_order", "args": {"order_id": 1934}}, {"tool": "cancel_order", "args": {"order_id": 1936}}, {"tool": "cancel_order", "args": {"order_id": 1942}}, {"tool": "cancel_order", "args": {"order_id": 1948}}, {"tool": "cancel_order", "args": {"order_id": 1953}}, {"tool": "cancel_order", "args": {"order_id": 1955}}, {"tool": "cancel_order", "args": {"order_id": 1959}}, {"tool": "cancel_order", "args": {"order_id": 1961}}, {"tool": "cancel_order", "args": {"order_id": 1964}}, {"tool": "cancel_order", "args": {"order_id": 1969}}, {"tool": "cancel_order", "args": {"order_id": 1975}}, {"tool": "cancel_order", "args": {"order_id": 1978}}, {"tool": "cancel_order", "args": {"order_id": 1985}}, {"tool": "cancel_order", "args": {"order_id": 1989}}, {"tool": "cancel_order", "args": {"order_id": 1990}}, {"tool": "cancel_order", "args": {"order_id": 1994}}, {"tool": "cancel_order", "args": {"order_id": 1996}}, {"tool": "cancel_order", "args": {"order_id": 2000}}, {"tool": "cancel_order", "args": {"order_id": 2006}}, {"tool": "cancel_order", "args": {"order_id": 2009}}, {"tool": "cancel_order", "args": {"order_id": 2014}}, {"tool": "cancel_order", "args": {"order_id": 2019}}, {"tool": "cancel_order", "args": {"order_id": 2021}}, {"tool": "cancel_order", "args": {"order_id": 2026}}, {"tool": "cancel_order", "args": {"order_id": 2033}}, {"tool": "cancel_order", "args": {"order_id": 2037}}, {"tool": "cancel_order", "args": {"order_id": 2043}}, {"tool": "cancel_order", "args": {"order_id": 2049}}, {"tool": "cancel_order", "args": {"order_id": 2050}}, {"tool": "cancel_order", "args": {"order_id": 2054}}, {"tool": "cancel_order", "args": {"order_id": 2059}}, {"tool": "cancel_order", "args": {"order_id": 2063}}, {"tool": "cancel_order", "args": {"order_id": 2065}}, {"tool": "cancel_order", "args": {"order_id": 2066}}, {"tool": "cancel_order", "args": {"order_id": 2068}}, {"tool": "cancel_order", "args": {"order_id": 2074}}, {"tool": "cancel_order", "args": {"order_id": 2080}}, {"tool": "cancel_order", "args": {"order_id": 2082}}, {"tool": "cancel_order", "args": {"order_id": 2083}}, {"tool": "cancel_order", "args": {"order_id": 2085}}, {"tool": "cancel_order", "args": {"order_id": 2088}}, {"tool": "cancel_order", "args": {"order_id": 2094}}, {"tool": "cancel_order", "args": {"order_id": 2099}}, {"tool": "cancel_order", "args": {"order_id": 2105}}, {"tool": "cancel_order", "args": {"order_id": 2109}}, {"tool": "cancel_order", "args": {"order_id": 2113}}, {"tool": "cancel_order", "args": {"order_id": 2115}}, {"tool": "cancel_order", "args": {"order_id": 2120}} ]
wrongagentic.tools.ledger-v1conf 100% · 221ms · $0.001 · 345 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $258
- echo: $577
- oscar: $405

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $265 from "alpha" to "oscar"
2. pay $166 from "alpha" to "oscar"
3. pay $384 from "alpha" to "echo"
4. pay $347 from "alpha" 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": "alpha", "to": "oscar", "amount": 265 } }, { "tool": "top_up_from_reserve", "args": { "account": "alpha", "amount": 174 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "oscar", "amount": 166 } }, { "tool": "top_up_from_reserve", "args": { "account": "alpha", "amount": 384 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "echo", "amount": 384 } }, { "tool": "top_up_from_reserve", "args": { "account": "alpha", "amount": 347 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "oscar", "amount": 347 } } ]
correctagentic.tools.triage-v1conf 100% · 189ms · $0.001 · 406 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 2)
2. "SSO loop on login" (category: auth, priority 9)
3. "webhooks not delivered" (category: infra, priority 5)
4. "webhooks not delivered" (category: infra, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "SSO loop on login", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 5 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-3" } } ]
correctagentic.tools.deploy-v1conf 100% · 260ms · $0.000 · 114 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: auth-svc
- notifier: auth-svc
- billing: auth-svc, notifier
- auth-svc: (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": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
wrongagentic.tools.ledger-v1conf 100% · 535ms · $0.001 · 353 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $266
- lima: $279
- bravo: $159

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $187 from "bravo" to "lima"
2. pay $190 from "bravo" to "lima"
3. pay $279 from "lima" to "alpha"
4. pay $278 from "alpha" to "bravo"
5. pay $336 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": "lima", "amount": 187 } }, { "tool": "top_up_from_reserve", "args": { "account": "bravo", "amount": 218 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "lima", "amount": 190 } }, { "tool": "transfer", "args": { "from": "lima", "to": "alpha", "amount": 279 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "bravo", "amount": 278 } }, { "tool": "top_up_from_reserve", "args": { "account": "bravo", "amount": 306 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "alpha", "amount": 336 } } ]
correctagentic.tools.triage-v1conf 100% · 561ms · $0.001 · 402 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → chen
- data → dubois
- infra → silva

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "invoice total wrong" (category: payments, priority 7)
3. "webhooks not delivered" (category: infra, priority 2)
4. "refund double-charged" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 7 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-4" } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "chen" } } ]
wrongagentic.tools.ledger-v1conf 100% · 266ms · $0.001 · 312 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $834
- tango: $196
- lima: $835

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $239 from "kilo" to "tango"
2. pay $95 from "kilo" to "tango"
3. pay $305 from "tango" to "lima"
4. pay $551 from "tango" to "kilo"
5. pay $336 from "lima" 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": "kilo", "to": "tango", "amount": 239 } }, { "tool": "transfer", "args": { "from": "kilo", "to": "tango", "amount": 95 } }, { "tool": "transfer", "args": { "from": "tango", "to": "lima", "amount": 305 } }, { "tool": "top_up_from_reserve", "args": { "account": "tango", "amount": 167 } }, { "tool": "transfer", "args": { "from": "tango", "to": "kilo", "amount": 551 } }, { "tool": "transfer", "args": { "from": "lima", "to": "tango", "amount": 336 } } ]
correctagentic.tools.deploy-v1conf 100% · 205ms · $0.000 · 115 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: auth-svc, reports
- billing: gateway
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
correctagentic.tools.triage-v1conf 100% · 251ms · $0.001 · 318 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → silva
- payments → dubois
- data → okafor

INCIDENTS:
1. "API latency spikes" (category: infra, priority 6)
2. "invoice total wrong" (category: payments, priority 9)
3. "invoice total wrong" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 9 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
wrongagentic.tools.context-load-v1anchorconf 100% · 1.3s · $0.001 · 171 tok
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1357}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "restock", "args": {"item": "gasket", "qty": 89}}, {"tool": "restock", "args": {"item": "sensor", "qty": 59}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 284ms · $0.000 · 114 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.triage-v1anchorconf 100% · 212ms · $0.001 · 404 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% · 246ms · $0.001 · 353 tok
model answer: [ { "tool": "transfer", "args": { "from": "delta", "to": "bravo", "amount": 451 } }, { "tool": "top_up_from_reserve", "args": { "account": "bravo", "amount": 292 } }, { "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": 306 } }, { "tool": "transfer", "args": { "from": "delta", "to": "bravo", "amount": 540 } }, { "tool": "transfer", "args": { "from": "tango", "to": "bravo", "amount": 125 } } ]
code 16/30 correct
wrongcode.trace.nested-v1conf 100% · 838ms · $0.002 · 1220 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 138
correctcode.trace.js-v1conf 100% · 2.8s · $0.001 · 389 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7];
const out = arr
  .map(n => n * 2)
  .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: 18
wrongcode.trace.python-v1conf 98% · 205ms · $0.000 · 19 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 3
while total + v <= 118:
    if v % 5 != 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: 105
correctcode.trace.js-v1conf 100% · 247ms · $0.000 · 314 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 315
wrongcode.trace.nested-v1conf 100% · 187ms · $0.003 · 1745 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: 451
wrongcode.trace.nested-v1conf 100% · 272ms · $0.001 · 642 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 120
correctcode.trace.python-v1conf 100% · 245ms · $0.001 · 515 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 89:
    if v % 6 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 74
correctcode.trace.js-v1conf 100% · 297ms · $0.000 · 221 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 150
correctcode.trace.js-v1conf 100% · 256ms · $0.000 · 288 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 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: 252
wrongcode.trace.python-v1conf 100% · 199ms · $0.000 · 20 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 116:
    if v % 6 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108
wrongcode.trace.nested-v1conf 100% · 237ms · $0.001 · 935 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 75
wrongcode.trace.nested-v1conf 100% · 414ms · $0.002 · 1545 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 5 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: 196
wrongcode.trace.python-v1conf 100% · 243ms · $0.000 · 20 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 4
while total + v <= 118:
    if v % 5 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108
correctcode.trace.js-v1conf 100% · 754ms · $0.000 · 242 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 175
correctcode.trace.nested-v1conf 100% · 237ms · $0.002 · 1480 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) % 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: 327
correctcode.trace.python-v1conf 100% · 239ms · $0.001 · 417 tok
question
What does this Python program print?

```python
total = 0
v = 9
while total + v <= 68:
    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: 60
correctcode.trace.js-v1conf 100% · 256ms · $0.001 · 473 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8];
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: 72
wrongcode.trace.nested-v1conf 100% · 204ms · $0.002 · 1184 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: 245
wrongcode.trace.python-v1conf 95% · 260ms · $0.000 · 19 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 4
while total + v <= 112:
    if v % 7 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108
correctcode.trace.js-v1conf 100% · 186ms · $0.000 · 243 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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: 120
wrongcode.trace.nested-v1conf 100% · 238ms · $0.003 · 1895 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 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: 356
wrongcode.trace.python-v1conf 100% · 204ms · $0.000 · 19 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 4
while total + v <= 91:
    if v % 6 != 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: 81
correctcode.trace.js-v1conf 100% · 260ms · $0.001 · 389 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
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: 396
correctcode.trace.nested-v1conf 100% · 282ms · $0.002 · 1061 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 161
wrongcode.trace.python-v1conf 100% · 257ms · $0.001 · 668 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 13
while total + v <= 108:
    if v % 4 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 88
correctcode.trace.js-v1conf 100% · 285ms · $0.000 · 213 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 490
correctcode.trace.python-v1anchorconf 100% · 195ms · $0.001 · 600 tok
model answer: 0
correctcode.trace.nested-v1anchorconf 100% · 452ms · $0.002 · 1268 tok
model answer: 283
correctcode.trace.js-v1anchorconf 100% · 248ms · $0.001 · 389 tok
model answer: 63
wrongcode.trace.python-v1anchorconf 100% · 454ms · $0.001 · 384 tok
model answer: 54
instruction following 11/30 correct
wrongif.constraints.stack-v1conf 100% · 451ms · $0.000 · 59 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "flint" and the last word must be "prism".
3. Use the word "orbit" 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 glows, orbiting neon signs; shadows dance, orbiting moonlight through glass prism.
wrongif.format.acronym-v1conf 100% · 238ms · $0.000 · 19 tok
question
Take the third letter of each of these words, in order: ember, prism, falcon, 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: ERSQ
correctif.format.repeat-v1conf 100% · 254ms · $0.000 · 49 tok
question
Write the word "echo" in uppercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHO
wrongif.constraints.stack-v1conf 100% · 250ms · $0.000 · 43 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "lumen" and the last word must be "drift".
3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lumen quartz waves, quartz tides, quartz winds drift.
wrongif.format.acronym-v1conf 100% · 426ms · $0.000 · 20 tok
question
Take the third letter of each of these words, in order: drift, comet, basalt, falcon, zephyr, 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: FMTLPR
correctif.format.repeat-v1conf 100% · 261ms · $0.000 · 33 tok
question
Write the word "flint" in uppercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT-FLINT-FLINT
wrongif.constraints.stack-v1conf 100% · 447ms · $0.000 · 31 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "basalt" and the last word must be "lumen".
3. Use the word "comet" 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: basalt comet comet comet lumen
wrongif.format.acronym-v1conf 100% · 202ms · $0.000 · 20 tok
question
Take the third letter of each of these words, in order: falcon, orbit, echo, flint, drift, 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: LRCNFT
correctif.format.repeat-v1conf 100% · 237ms · $0.000 · 59 tok
question
Write the word "falcon" 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: FALCON/FALCON/FALCON/FALCON/FALCON/FALCON/FALCON
wrongif.constraints.stack-v1conf 100% · 393ms · $0.000 · 56 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "prism" and the last word must be "tundra".
3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism light drifts over frosty fields, snow drifts softly across the silent tundra.
correctif.format.repeat-v1conf 100% · 242ms · $0.000 · 69 tok
question
Write the word "delta" in uppercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DELTA-DELTA-DELTA-DELTA-DELTA-DELTA-DELTA-DELTA-DELTA
wrongif.format.acronym-v1conf 100% · 185ms · $0.000 · 19 tok
question
Take the third letter of each of these words, in order: delta, orbit, tundra, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LITR
wrongif.constraints.stack-v1conf 100% · 353ms · $0.000 · 47 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "ember" and the last word must be "tundra".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember glows, falcon soars twice over frosty tundra.
wrongif.format.acronym-v1conf 100% · 244ms · $0.000 · 20 tok
question
Take the third letter of each of these words, in order: echo, zephyr, nova, ember, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OYVMD
correctif.format.repeat-v1conf 100% · 204ms · $0.000 · 39 tok
question
Write the word "drift" in uppercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DRIFT/DRIFT/DRIFT/DRIFT
wrongif.constraints.stack-v1conf 100% · 208ms · $0.000 · 49 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "orbit" and the last word must be "drift".
3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbiting comet trails, another comet glows; city lights shimmer as shadows drift
wrongif.constraints.stack-v1conf 100% · 239ms · $0.000 · 60 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "drift" and the last word must be "nova".
3. Use the word "lumen" 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: drift through lumen streets, neon lights glow, shadows dance, stars twinkle like a distant nova.
wrongif.format.acronym-v1conf 100% · 245ms · $0.000 · 20 tok
question
Take the third letter of each of these words, in order: flint, prism, nova, zephyr, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NRSYH
correctif.format.repeat-v1conf 100% · 202ms · $0.000 · 39 tok
question
Write the word "ember" in lowercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember/ember/ember/ember/ember/ember
wrongif.format.acronym-v1conf 100% · 220ms · $0.000 · 18 tok
question
Take the first letter of each of these words, in order: lumen, basalt, prism, 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: LBPC
correctif.format.repeat-v1conf 100% · 425ms · $0.000 · 44 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_drift
wrongif.constraints.stack-v1conf 100% · 229ms · $0.000 · 60 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "prism" and the last word must be "ember".
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: prism orbiting stars, orbiting dreams, orbiting hope through endless night until dawn's first ember.
wrongif.format.acronym-v1conf 100% · 483ms · $0.000 · 20 tok
question
Take the second letter of each of these words, in order: comet, orbit, flint, nova, lumen. 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: OROVU
wrongif.constraints.stack-v1conf 100% · 377ms · $0.000 · 77 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "zephyr" and the last word must be "lumen".
3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr carried ember, ember, and ember through valleys, rivers, mountains, forests, deserts, oceans, until dawn's lumen.
correctif.format.repeat-v1conf 100% · 239ms · $0.000 · 41 tok
question
Write the word "quartz" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QUARTZ_QUARTZ_QUARTZ_QUARTZ
wrongif.format.acronym-v1conf 100% · 215ms · $0.000 · 20 tok
question
Take the third letter of each of these words, in order: delta, ember, comet, nova, falcon, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LMTVLC
correctif.format.repeat-v1anchorconf 100% · 296ms · $0.000 · 49 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
wrongif.constraints.stack-v1anchorconf 100% · 882ms · $0.000 · 70 tok
model answer: drift through neon lumen, shadows dance in lumen glow, city breathes with lumen light, stars watch from orbit.
correctif.format.repeat-v1anchorconf 100% · 211ms · $0.000 · 65 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 263ms · $0.000 · 23 tok
model answer: ZDFQ
knowledge 29/30 correct
correctknowledge.fr.factbank-v2conf 100% · 259ms · $0.000 · 20 tok
question
Name the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 373ms · $0.000 · 21 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: Potassium
correctknowledge.fr.factbank-v2conf 100% · 259ms · $0.000 · 24 tok
question
Identify the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 270ms · $0.000 · 21 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: Abuja
correctknowledge.fr.factbank-v2conf 100% · 237ms · $0.000 · 19 tok
question
Identify the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 189ms · $0.000 · 21 tok
question
Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 265ms · $0.000 · 20 tok
question
Identify the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 206ms · $0.000 · 21 tok
question
Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 199ms · $0.000 · 28 tok
question
Identify the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 188ms · $0.000 · 20 tok
question
Identify the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 204ms · $0.000 · 19 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: Bern
correctknowledge.fr.factbank-v2conf 100% · 231ms · $0.000 · 21 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: Antimony
correctknowledge.fr.factbank-v2conf 100% · 206ms · $0.000 · 21 tok
question
Name the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
wrongknowledge.fr.factbank-v2conf 100% · 198ms · $0.000 · 24 tok
question
Identify the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nur-Sultan
correctknowledge.fr.factbank-v2conf 100% · 181ms · $0.000 · 21 tok
question
Identify the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 244ms · $0.000 · 19 tok
question
Identify the element whose symbol is Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 231ms · $0.000 · 21 tok
question
Identify the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 193ms · $0.000 · 22 tok
question
What is the chemical element with symbol W?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 238ms · $0.000 · 21 tok
question
Identify the capital of Canada.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 192ms · $0.000 · 26 tok
question
What is the capital of Myanmar?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 189ms · $0.000 · 21 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 180ms · $0.000 · 21 tok
question
What is the capital of Turkey?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 184ms · $0.000 · 19 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: Lead
correctknowledge.fr.factbank-v2conf 100% · 188ms · $0.000 · 19 tok
question
Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 207ms · $0.000 · 21 tok
question
Identify the capital of Canada.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 230ms · $0.000 · 21 tok
question
Name the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 253ms · $0.000 · 20 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 249ms · $0.000 · 22 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 220ms · $0.000 · 19 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 100% · 251ms · $0.000 · 21 tok
model answer: Antimony
math 25/30 correct
wrongmath.counterfactual.base-v1conf 100% · 215ms · $0.000 · 320 tok
question
Work strictly in base 9. Multiply the base-9 numbers 83 and 31. 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: 363
correctmath.chained.pipeline-v1conf 100% · 373ms · $0.000 · 187 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 35 × 19.
Step 2: Q = P × 8 − 219.
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: 1021
correctmath.algebra.system-v2conf 100% · 255ms · $0.001 · 522 tok
question
Solve the system, then answer the derived question.

9x + 7y = -29
2x − 9y = -302

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: -243
wrongmath.percent.chain-v2conf 100% · 205ms · $0.000 · 214 tok
question
An inventory starts at 73000 units. The company was founded 123 kilometers from the port. In the first month the inventory grows by 37%. The warehouse was painted 8 years ago. The next month it shrinks by 12%, 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: 100329.632
correctmath.arith.chain-v2conf 100% · 232ms · $0.000 · 267 tok
question
Work out the exact value of this expression.

(((61 × 46 − 381) × 5 + 6190) − 88 × 23) × 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: 48873
correctmath.chained.pipeline-v1conf 100% · 179ms · $0.000 · 189 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 41 × 27.
Step 2: Q = P × 5 − 459.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1269
correctmath.counterfactual.base-v1conf 100% · 274ms · $0.001 · 329 tok
question
Work strictly in base 9. Multiply the base-9 numbers 54 and 14. 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: 777
correctmath.percent.chain-v2conf 100% · 203ms · $0.000 · 266 tok
question
An inventory starts at 23000 units. The delivery van has a 135-liter fuel tank. In the first month the inventory grows by 27%. The company was founded 118 kilometers from the port. The next month it shrinks by 14%, and the month after it grows by 12%. 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: 28135.07
correctmath.algebra.system-v2conf 100% · 408ms · $0.000 · 304 tok
question
Solve the system, then answer the derived question.

6x + 3y = 21
4x − 5y = 35

What is the value of 5x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 34
correctmath.arith.chain-v2conf 100% · 248ms · $0.000 · 240 tok
question
Compute the value of the following expression.

(((39 × 31 − 582) × 4 + 9187) − 11 × 20) × 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: 57375
correctmath.counterfactual.base-v1conf 100% · 273ms · $0.000 · 279 tok
question
Work strictly in base 13. Multiply the base-13 numbers 3A and 1B. 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: 6C6
correctmath.chained.pipeline-v1conf 100% · 243ms · $0.000 · 193 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 61 × 45.
Step 2: Q = P × 7 − 573.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3107
wrongmath.percent.chain-v2conf 100% · 439ms · $0.000 · 207 tok
question
An inventory starts at 13000 units. The company was founded 180 kilometers from the port. In the first month the inventory grows by 9%. The delivery van has a 165-liter fuel tank. The next month it shrinks by 34%, 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: 12624.93
correctmath.algebra.system-v2conf 100% · 213ms · $0.000 · 242 tok
question
Solve the system, then answer the derived question.

6x + 8y = -240
4x − 8y = 0

What is the value of 4x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -48
correctmath.arith.chain-v2conf 100% · 201ms · $0.000 · 154 tok
question
Evaluate the expression below and give the result.

(((24 × 42 − 860) × 9 + 3128) − 66 × 29) × 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: 7638
correctmath.chained.pipeline-v1conf 100% · 239ms · $0.000 · 175 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 86 × 24.
Step 2: Q = P × 3 − 377.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1456
wrongmath.counterfactual.base-v1conf 100% · 251ms · $0.000 · 117 tok
question
Work strictly in base 11. Multiply the base-11 numbers 72 and 29. 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: 1A58
correctmath.algebra.system-v2conf 100% · 213ms · $0.001 · 399 tok
question
Solve the system, then answer the derived question.

8x + 5y = -28
4x − 3y = -168

What is the value of 6x − 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: -266
correctmath.percent.chain-v2conf 100% · 251ms · $0.000 · 208 tok
question
An inventory starts at 83000 units. The delivery van has a 24-liter fuel tank. In the first month the inventory grows by 38%. The delivery van has a 172-liter fuel tank. The next month it shrinks by 27%, and the month after it grows by 16%. 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: 96992.472
correctmath.arith.chain-v2conf 100% · 250ms · $0.000 · 270 tok
question
Work out the exact value of this expression.

(((96 × 81 − 263) × 8 + 4768) − 44 × 99) × 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: 302580
correctmath.counterfactual.base-v1conf 100% · 276ms · $0.000 · 320 tok
question
Work strictly in base 13. Multiply the base-13 numbers 48 and 2A. 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: CA2
correctmath.chained.pipeline-v1conf 100% · 234ms · $0.000 · 172 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 66 × 26.
Step 2: Q = P × 5 − 540.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1152
correctmath.percent.chain-v2conf 100% · 247ms · $0.000 · 258 tok
question
An inventory starts at 74000 units. Each pallet weighs about 19 grams more when wet. In the first month the inventory grows by 35%. The company was founded 84 kilometers from the port. The next month it shrinks by 23%, 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: 96153.75
correctmath.algebra.system-v2conf 100% · 255ms · $0.001 · 360 tok
question
Solve the system, then answer the derived question.

7x + 2y = -307
9x − 9y = -198

What is the value of 4x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -88
correctmath.arith.chain-v2conf 100% · 271ms · $0.000 · 270 tok
question
Work out the exact value of this expression.

(((87 × 57 − 983) × 4 + 3399) − 62 × 48) × 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: 114289
wrongmath.chained.pipeline-v1conf 100% · 335ms · $0.000 · 193 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 55 × 35.
Step 2: Q = P × 7 − 794.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1601
correctmath.percent.chain-v2anchorconf 100% · 200ms · $0.000 · 317 tok
model answer: 61896.52
correctmath.counterfactual.base-v1anchorconf 100% · 218ms · $0.000 · 244 tok
model answer: 11236
correctmath.arith.chain-v2anchorconf 100% · 433ms · $0.000 · 246 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 100% · 377ms · $0.000 · 221 tok
model answer: 87
multilingual 20/30 correct
correctmultilingual.wordnum-v1conf 100% · 245ms · $0.000 · 20 tok
question
A number is written in French: « deux cent vingt-cinq ». Another is written in Spanish: « ochenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 311
correctmultilingual.numword-v2conf 100% · 233ms · $0.000 · 28 tok
question
Compute 100 + 418, 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 dix-huit
wrongmultilingual.wordnum-v1conf 100% · 242ms · $0.000 · 20 tok
question
A number is written in French: « neuf cent quatre-vingt-quatorze ». Another is written in Spanish: « doscientos treinta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 663
correctmultilingual.numword-v2conf 100% · 251ms · $0.000 · 29 tok
question
Compute 384 + 172, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos cincuenta y seis
wrongmultilingual.wordnum-v1conf 100% · 271ms · $0.000 · 21 tok
question
A number is written in French: « six cent quatre-vingt-quatorze ». Another is written in Spanish: « quinientos sesenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1250
wrongmultilingual.numword-v2conf 100% · 247ms · $0.000 · 28 tok
question
Compute 311 + 417, 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: siete veintiocho
correctmultilingual.wordnum-v1conf 100% · 249ms · $0.000 · 19 tok
question
A number is written in French: « cinq cent cinquante-six ». Another is written in Spanish: « quinientos ochenta ». 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: -24
correctmultilingual.numword-v2conf 100% · 198ms · $0.000 · 28 tok
question
Compute 51 + 409, 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
correctmultilingual.wordnum-v1conf 100% · 204ms · $0.000 · 21 tok
question
A number is written in French: « six cent vingt-deux ». Another is written in Spanish: « quinientos 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: 1126
correctmultilingual.numword-v2conf 100% · 188ms · $0.000 · 31 tok
question
Compute 93 + 263, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos cincuenta y seis
correctmultilingual.wordnum-v1conf 100% · 199ms · $0.000 · 34 tok
question
A number is written in French: « trois cent quarante-trois ». Another is written in Spanish: « novecientos veinticuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -581
wrongmultilingual.numword-v2conf 100% · 193ms · $0.000 · 23 tok
question
Compute 185 + 435, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: six hundred twenty
wrongmultilingual.wordnum-v1conf 100% · 373ms · $0.000 · 20 tok
question
A number is written in French: « deux cent soixante et un ». Another is written in Spanish: « setecientos 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: -146
correctmultilingual.numword-v2conf 100% · 259ms · $0.000 · 28 tok
question
Compute 133 + 58, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ciento noventa y uno
correctmultilingual.numword-v2conf 100% · 414ms · $0.000 · 38 tok
question
Compute 209 + 290, 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-dix-neuf
wrongmultilingual.wordnum-v1conf 100% · 251ms · $0.000 · 20 tok
question
A number is written in French: « cinq cent quarante-huit ». Another is written in Spanish: « novecientos sesenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -118
correctmultilingual.wordnum-v1conf 100% · 194ms · $0.000 · 36 tok
question
A number is written in French: « six cent quatre-vingt-douze ». Another is written in Spanish: « ochocientos 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: 1560
correctmultilingual.numword-v2conf 100% · 391ms · $0.000 · 34 tok
question
Compute 206 + 176, 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-deux
wrongmultilingual.wordnum-v1conf 100% · 278ms · $0.000 · 26 tok
question
A number is written in French: « neuf cent dix ». Another is written in Spanish: « ciento ochenta ». 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: 1080
correctmultilingual.numword-v2conf 100% · 253ms · $0.000 · 27 tok
question
Compute 267 + 264, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos treinta y uno
correctmultilingual.numword-v2conf 100% · 259ms · $0.000 · 26 tok
question
Compute 93 + 309, 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 dos
wrongmultilingual.wordnum-v1conf 100% · 207ms · $0.000 · 18 tok
question
A number is written in French: « sept cent quatre ». Another is written in Spanish: « ochocientos veinticuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
correctmultilingual.numword-v2conf 100% · 265ms · $0.000 · 27 tok
question
Compute 169 + 146, 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 quince
correctmultilingual.wordnum-v1conf 100% · 214ms · $0.000 · 20 tok
question
A number is written in French: « six cent vingt-huit ». Another is written in Spanish: « ochocientos diecisiete ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -189
correctmultilingual.wordnum-v1conf 100% · 238ms · $0.000 · 33 tok
question
A number is written in French: « quatre cent cinquante-quatre ». Another is written in Spanish: « cincuenta 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: 402
wrongmultilingual.numword-v2conf 100% · 269ms · $0.000 · 36 tok
question
Compute 159 + 335, 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-vingt-dix-quatorze
wrongmultilingual.wordnum-v1anchorconf 100% · 188ms · $0.000 · 19 tok
model answer: -50
correctmultilingual.numword-v2anchorconf 100% · 249ms · $0.000 · 36 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 195ms · $0.000 · 33 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 100% · 241ms · $0.000 · 25 tok
model answer: seiscientos ocho
reasoning 19/30 correct
correctreasoning.deduction.position-v1conf 100% · 184ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Rosa. Liam is directly ahead of Bruno. Bruno is number 2 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.order-v2conf 100% · 187ms · $0.000 · 20 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Liam. Chen is older than Tessa. Jonas is older than Liam. Ola is older than Nadir. Ola is older than Jonas. Bruno is older than Chen. Ola is older than Liam. Liam is older than Nadir. Tessa is older than Ola. Rosa is faster than everyone here, but Rosa is not being ranked. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.position-v1conf 100% · 240ms · $0.000 · 21 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 2 in the queue. Ines is directly ahead of Nadir. Ola is directly ahead of Priya. 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: Priya
correctreasoning.deduction.order-v2conf 100% · 194ms · $0.000 · 21 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is heavier than Mona. Jonas is heavier than Nadir. Kira is heavier than Nadir. Nadir is heavier than Quinn. Kira is heavier than Tessa. Ines is heavier than Kira. Ines is heavier than Quinn. Mona is heavier than Quinn. Hana is faster than everyone here, but Hana is not being ranked. Tessa is heavier than Jonas. 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: Kira
correctreasoning.deduction.position-v1conf 100% · 605ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 1 in the queue. Quinn is directly ahead of Dara. Dara is directly ahead of Mona. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
wrongreasoning.deduction.order-v2conf 100% · 191ms · $0.000 · 21 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Kira. Emil is heavier than Nadir. Liam is heavier than Emil. Chen is taller than everyone here, but Chen is not being ranked. Ines is heavier than Nadir. Nadir is heavier than Jonas. Emil is heavier than Farah. Farah is heavier than Jonas. Kira is heavier than Liam. Nadir is heavier than Farah. 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: Nadir
wrongreasoning.deduction.order-v2conf 100% · 186ms · $0.000 · 19 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Quinn. Alice is older than Liam. Chen is older than Alice. Alice is older than Sami. Liam is older than Sami. Chen is older than Kira. Dara is faster than everyone here, but Dara is not being ranked. Farah is older than Kira. Sami is older than Farah. Kira is older than Quinn. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1conf 100% · 185ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 1 in the queue. Tessa is directly ahead of Priya. Priya 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: Dara
correctreasoning.deduction.position-v1conf 100% · 206ms · $0.000 · 21 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Ola. Farah is number 1 in the queue. Chen is directly ahead of Priya. 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: Priya
wrongreasoning.deduction.order-v2conf 100% · 174ms · $0.000 · 21 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Alice. Ola is heavier than Kira. Jonas is heavier than Alice. Bruno is faster than everyone here, but Bruno is not being ranked. Farah is heavier than Jonas. Goran is heavier than Farah. Jonas is heavier than Rosa. Alice is heavier than Kira. Goran is heavier than Rosa. Rosa 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: Farah
correctreasoning.deduction.position-v1conf 100% · 206ms · $0.000 · 21 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Dara. Dara is directly ahead of Ola. Ola is number 3 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 100% · 194ms · $0.000 · 17 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Mona. Ola is taller than Goran. Dara is taller than Priya. Goran is taller than Dara. Tessa is taller than Ola. Chen is heavier than everyone here, but Chen is not being ranked. Goran is taller than Priya. Dara is taller than Mona. Farah is taller than Dara. Farah 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: Dara
correctreasoning.deduction.position-v1conf 100% · 207ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Rosa. Hana is directly ahead of Ola. Rosa is number 4 in the queue. Sami is directly ahead of Hana. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 262ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Ola. Dara is number 4 in the queue. Ola is directly ahead of Nadir. Nadir is directly ahead of Dara. 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: Mona
wrongreasoning.deduction.order-v2conf 100% · 193ms · $0.000 · 20 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Bruno is faster than everyone here, but Bruno is not being ranked. Jonas is taller than Rosa. Rosa is taller than Goran. Jonas is taller than Goran. Rosa is taller than Hana. Hana is taller than Goran. Nadir is taller than Ola. Sami is taller than Ola. Nadir is taller than Sami. Ola is taller than Jonas. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
correctreasoning.deduction.order-v2conf 100% · 242ms · $0.000 · 20 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Quinn. Chen is heavier than Farah. Mona is heavier than Ines. Emil is heavier than Ines. Emil is heavier than Chen. Chen is heavier than Ines. Quinn is heavier than Farah. Liam is taller than everyone here, but Liam is not being ranked. Farah is heavier than Mona. Quinn is heavier than Emil. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.position-v1conf 100% · 237ms · $0.000 · 21 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Ines. Bruno is directly ahead of Chen. Ines is number 3 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
wrongreasoning.deduction.order-v2conf 100% · 207ms · $0.000 · 19 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Nadir. Ola is older than Sami. Liam is older than Jonas. Liam is older than Alice. Kira is older than Alice. Jonas is older than Kira. Kira is older than Ola. Goran is faster than everyone here, but Goran is not being ranked. Nadir is older than Ola. Liam is older than Nadir. 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: Alice
correctreasoning.deduction.position-v1conf 100% · 231ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Ola. Ola is directly ahead of Nadir. Nadir is directly ahead of Bruno. Bruno is number 4 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: Ola
wrongreasoning.deduction.order-v2conf 100% · 241ms · $0.000 · 21 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Farah. Bruno is taller than Quinn. Bruno is taller than Alice. Alice is taller than Quinn. Hana is faster than everyone here, but Hana is not being ranked. Kira is taller than Sami. Farah is taller than Sami. Quinn is taller than Goran. Farah is taller than Kira. Farah is taller than Sami. 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: Goran
correctreasoning.deduction.position-v1conf 100% · 202ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 1 in the queue. Sami is directly ahead of Mona. Mona is directly ahead of Dara. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
wrongreasoning.deduction.order-v2conf 100% · 241ms · $0.000 · 20 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Sami is older than Goran. Hana is older than Liam. Liam is older than Sami. Farah is older than Hana. Ola is older than Hana. Hana is older than Sami. Hana is older than Goran. Ines is older than Farah. Priya is faster than everyone here, but Priya is not being ranked. Ola is older than Ines. 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: Ola
correctreasoning.deduction.position-v1conf 100% · 244ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 3 in the queue. Bruno is directly ahead of Nadir. Alice 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: Bruno
wrongreasoning.deduction.order-v2conf 100% · 236ms · $0.000 · 21 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Priya. Priya is older than Nadir. Ola is older than Priya. Nadir is older than Tessa. Rosa is older than Kira. Priya is older than Liam. Nadir is older than Liam. Ines is faster than everyone here, but Ines is not being ranked. Tessa is older than Liam. Ola is older than Rosa. 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: Kira
correctreasoning.deduction.position-v1conf 100% · 213ms · $0.000 · 21 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Priya. Priya is number 3 in the queue. Ines is directly ahead of Jonas. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
wrongreasoning.deduction.order-v2conf 100% · 201ms · $0.000 · 21 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Sami. Mona is older than Dara. Alice is older than Mona. Nadir is older than Alice. Mona is older than Kira. Emil is older than Sami. Dara is older than Kira. Dara is older than Emil. Rosa is heavier than everyone here, but Rosa is not being ranked. 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: Kira
correctreasoning.deduction.position-v1anchorconf 100% · 223ms · $0.000 · 20 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 100% · 192ms · $0.000 · 20 tok
model answer: Quinn
wrongreasoning.deduction.order-v2anchorconf 100% · 418ms · $0.000 · 19 tok
model answer: Alice
correctreasoning.deduction.position-v1anchorconf 100% · 236ms · $0.000 · 21 tok
model answer: Farah
terminal 17/30 correct
wrongterminal.fs.tree-v1conf 100% · 200ms · $0.000 · 61 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/docs`):

```
/proj/conf/index.log
/proj/conf/notes.log
/proj/logs/util.log
/proj/setup.txt
/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
mkdir -p logs/logs-8
touch conf/util-9.txt
mkdir -p conf/src-5
rm todo.md
rm logs/util.log
mkdir -p conf/src-5/logs-3
cd docs
rm ../../proj/setup.txt
mkdir -p build-8
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/index.log /proj/conf/notes.log /proj/conf/src-5/logs-3 /proj/conf/util-9.txt /proj/docs/build-8 /proj/logs/logs-8
correctterminal.exit.chain-v1conf 100% · 203ms · $0.000 · 28 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 dune notes.txt && echo A || echo B
test -f ghost.txt && echo C || echo D
false && echo E || echo F
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F Z exit:0
correctterminal.exit.chain-v1conf 95% · 823ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F exit:1
wrongterminal.pipeline.predict-v1conf 100% · 243ms · $0.000 · 47 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,legal,114,66
jon,hr,104,97
cy,hr,8,48
bo,legal,60,38
fay,sales,27,34
oli,legal,103,86
pam,eng,68,11
ana,ops,32,93
dev,eng,105,24
ivy,legal,90,27
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' 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: bo,legal,60,38 ivy,legal,90,27 kim,legal,114,66
wrongterminal.fs.tree-v1conf 100% · 216ms · $0.000 · 63 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/src`):

```
/proj/assets/main.md
/proj/assets/report.txt
/proj/draft.log
/proj/setup.txt
/proj/src/notes.txt
```

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

```sh
cd .
mv src/notes.txt ./
touch main-6.log
touch logs/index-9.md
cd src
rm ../../proj/setup.txt
mv ../../proj/draft.log ../../proj/report-3.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/main.md /proj/assets/report.txt /proj/draft.log /proj/logs/index-9.md /proj/notes.txt /proj/report-3.txt /proj/src/main-6.log
wrongterminal.pipeline.predict-v1conf 100% · 249ms · $0.000 · 49 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,hr,80,11
pam,hr,67,39
max,legal,13,36
dev,eng,80,86
ivy,eng,47,56
ana,legal,110,97
ned,sales,41,87
hal,eng,25,72
kim,sales,74,71
jon,eng,96,97
oli,hr,113,47
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: gus,hr,80,11 pam,hr,67,39 oli,hr,113,47
correctterminal.exit.chain-v1conf 100% · 355ms · $0.000 · 28 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F Z exit:0
wrongterminal.fs.tree-v1conf 90% · 182ms · $0.000 · 57 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/logs`):

```
/proj/build/util.cfg
/proj/index.txt
/proj/logs/main.md
/proj/logs/todo.cfg
/proj/report.log
```

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

```sh
mkdir -p logs/conf-3
touch todo-1.txt
cd build
mv ../../proj/logs/main.md ../../proj/logs/todo-1.txt
rm ../../proj/report.log
cd ../../proj/assets
touch ../../proj/build/setup-5.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/todo-1.txt /proj/build/setup-5.cfg /proj/build/util.cfg /proj/index.txt /proj/logs/conf-3/main.md /proj/logs/todo.cfg
correctterminal.pipeline.predict-v1conf 100% · 411ms · $0.000 · 22 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,77,55
ana,ops,72,51
kim,sales,22,71
jon,eng,88,82
gus,eng,71,28
pam,legal,54,45
ivy,eng,77,17
max,eng,24,91
oli,hr,104,94
dev,sales,8,86
ned,legal,97,94
fay,ops,39,50
lou,eng,15,70
hal,ops,103,89
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: oli,104
correctterminal.exit.chain-v1conf 100% · 196ms · $0.000 · 28 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E Z exit:0
wrongterminal.fs.tree-v1conf 100% · 193ms · $0.000 · 43 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/logs`):

```
/proj/build/index.md
/proj/build/main.txt
/proj/build/util.md
/proj/notes.txt
/proj/report.txt
```

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

```sh
rm report.txt
cd build
mv main.txt index-2.txt
rm index.md
touch ../../proj/docs/setup-3.md
mv util.md ../../proj/
mkdir -p ../../proj/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: /proj/docs/setup-3.md /proj/notes.txt /proj/util.md /proj/build/index-2.txt
wrongterminal.pipeline.predict-v1conf 100% · 270ms · $0.000 · 26 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,sales,18,31
eli,hr,80,86
fay,eng,31,45
pam,ops,90,94
bo,ops,83,68
cy,hr,102,21
jon,legal,117,70
oli,legal,18,47
hal,legal,16,27
ivy,eng,80,32
ana,hr,90,90
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: eli,80 ana,90
wrongterminal.fs.tree-v1conf 100% · 722ms · $0.000 · 47 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/docs`):

```
/proj/build/main.log
/proj/build/setup.md
/proj/docs/index.log
/proj/draft.txt
/proj/util.log
```

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

```sh
mv build/main.log ./
rm util.log
touch docs/setup-8.log
mv docs/index.log conf/
cd conf
mv index.log main-8.txt
cd ../../proj/docs
rm ../../proj/conf/main-8.txt
cd ../../proj
mkdir -p docs/build-9
mv main.log ./
cd conf
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/setup.md /proj/conf/index.log /proj/docs/setup-8.log /proj/draft.txt /proj/main.log
correctterminal.exit.chain-v1conf 95% · 240ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1conf 100% · 206ms · $0.000 · 22 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,eng,117,65
lou,hr,70,14
cy,ops,43,53
jon,hr,70,23
ivy,sales,71,90
dev,eng,75,50
hal,hr,101,58
kim,sales,115,25
gus,legal,72,62
fay,sales,91,34
```

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: gus,72
correctterminal.fs.tree-v1conf 100% · 227ms · $0.000 · 62 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/draft.md
/proj/conf/index.md
/proj/notes.log
/proj/report.md
/proj/src/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 src/logs-6
cd src
cp todo.txt ../../proj/assets/
touch ../../proj/conf/notes-7.txt
mv ../../proj/notes.log ../../proj/conf/
mkdir -p ../../proj/assets/logs-7
cd ../../proj
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.md /proj/assets/todo.txt /proj/conf/index.md /proj/conf/notes-7.txt /proj/conf/notes.log /proj/report.md /proj/src/todo.txt
correctterminal.exit.chain-v1conf 100% · 194ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F exit:1
correctterminal.pipeline.predict-v1conf 100% · 220ms · $0.000 · 22 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,ops,90,82
cy,sales,105,19
lou,hr,11,44
pam,eng,73,31
dev,legal,58,32
fay,hr,90,28
ana,sales,101,80
jon,hr,119,17
ivy,ops,29,43
bo,sales,32,12
hal,hr,45,52
oli,legal,50,32
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' 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: pam,73
correctterminal.exit.chain-v1conf 100% · 283ms · $0.000 · 28 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
test -f data.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: A D E Z exit:0
correctterminal.fs.tree-v1conf 100% · 208ms · $0.000 · 49 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/build`):

```
/proj/draft.log
/proj/logs/main.txt
/proj/logs/notes.txt
/proj/logs/todo.md
/proj/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
mkdir -p logs/build-9
mkdir -p logs/build-9/build-3
rm setup.cfg
rm draft.log
touch logs/build-9/build-3/setup-3.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/logs/build-9/build-3/setup-3.cfg /proj/logs/main.txt /proj/logs/notes.txt /proj/logs/todo.md
correctterminal.pipeline.predict-v1conf 100% · 192ms · $0.000 · 20 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,eng,119,61
gus,legal,60,43
fay,hr,37,63
hal,hr,71,79
lou,ops,107,73
kim,hr,27,83
ned,sales,58,95
ivy,eng,22,28
dev,ops,119,77
bo,eng,26,83
```

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: 167
wrongterminal.fs.tree-v1conf 100% · 192ms · $0.000 · 84 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/notes.txt
/proj/src/draft.cfg
/proj/src/report.txt
/proj/src/setup.cfg
/proj/util.log
```

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

```sh
mkdir -p assets/build-8
mv src/setup.cfg src/todo-5.log
cd src
mkdir -p ../../proj/assets/docs-5
touch ../../proj/conf/index-4.cfg
cd .
mkdir -p ../../proj/assets/build-8/conf-6
cd ../../proj/assets/build-8
touch ../../../proj/assets/docs-5/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: /proj/assets/build-8/conf-6 /proj/assets/build-8/setup-2.log /proj/assets/docs-5 /proj/conf/index-4.cfg /proj/notes.txt /proj/src/draft.cfg /proj/src/report.txt /proj/src/todo-5.log /proj/util.log
correctterminal.exit.chain-v1conf 100% · 213ms · $0.000 · 30 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q amber notes.txt && echo A || echo B
false && echo C || echo D
grep -q basil notes.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 E H Z exit:0
wrongterminal.pipeline.predict-v1conf 100% · 265ms · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,legal,60,36
ned,eng,84,23
kim,sales,56,71
hal,ops,108,80
max,eng,44,25
ana,eng,19,26
eli,sales,56,96
pam,eng,101,45
lou,ops,95,98
fay,ops,13,71
oli,legal,27,80
gus,legal,9,91
cy,ops,65,88
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 72 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
wrongterminal.fs.tree-v1conf 100% · 236ms · $0.000 · 83 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/docs`, `/proj/build`):

```
/proj/docs/draft.txt
/proj/logs/main.md
/proj/logs/util.log
/proj/setup.log
/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
mkdir -p src-4
cp todo.md logs/
mv docs/draft.txt build/
cd build
mkdir -p ../../proj/logs-4
cp ../../proj/logs/util.log ../../proj/src-4/
cd ../../proj/src-4
touch report-4.log
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft.txt /proj/docs/draft.txt /proj/logs-4/ /proj/logs/main.md /proj/logs/todo.md /proj/logs/util.log /proj/setup.log /proj/src-4/report-4.log /proj/src-4/util.log /proj/todo.md
correctterminal.exit.chain-v1conf 100% · 263ms · $0.000 · 30 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q coral notes.txt && echo A || echo B
grep -q amber notes.txt && echo C || echo D
grep -q coral notes.txt && 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 C F G Z exit:0
correctterminal.pipeline.predict-v1anchorconf 100% · 397ms · $0.000 · 47 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.exit.chain-v1anchorconf 100% · 219ms · $0.000 · 28 tok
model answer: B D E G exit:1
wrongterminal.fs.tree-v1anchorconf 100% · 265ms · $0.000 · 67 tok
model answer: /proj/build-4/todo-4.md /proj/build/logs-1/setup-8.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
wrongterminal.pipeline.predict-v1anchorconf 100% · 242ms · $0.000 · 18 tok
model answer: 2
vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 100% · 304ms · $0.000 · 187 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 131
correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 19 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: VNTNAV
correctvision.ocr.table-read-v1conf 100% · 481ms · $0.000 · 20 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 129
correctvision.ocr.code-hunt-v1conf 100% · 511ms · $0.000 · 22 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 7T43WC
correctvision.ocr.table-read-v1conf 100% · 443ms · $0.000 · 22 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 87
correctvision.ocr.code-hunt-v1conf 100% · 757ms · $0.000 · 23 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 9PHEMFDW
correctvision.ocr.table-read-v1conf 100% · 462ms · $0.000 · 19 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctvision.ocr.code-hunt-v1conf 100% · 378ms · $0.000 · 21 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FHPXCYUA
correctvision.ocr.table-read-v1conf 100% · 251ms · $0.000 · 151 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 172
correctvision.ocr.table-read-v1conf 100% · 454ms · $0.000 · 19 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 71
correctvision.ocr.code-hunt-v1conf 100% · 306ms · $0.000 · 24 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 33A3YT7C
correctvision.ocr.code-hunt-v1conf 100% · 429ms · $0.000 · 22 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: YJWVE9WN
correctvision.ocr.table-read-v1conf 100% · 294ms · $0.000 · 20 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 106
correctvision.ocr.code-hunt-v1conf 100% · 450ms · $0.000 · 20 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CU4DNUM
correctvision.ocr.code-hunt-v1conf 100% · 411ms · $0.000 · 22 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: VRFKMMYR
correctvision.ocr.table-read-v1conf 100% · 478ms · $0.000 · 19 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 88
correctvision.ocr.table-read-v1conf 100% · 646ms · $0.000 · 19 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 92
correctvision.ocr.code-hunt-v1conf 100% · 980ms · $0.000 · 21 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: AJT7PNH
correctvision.ocr.table-read-v1conf 100% · 301ms · $0.000 · 192 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 323
correctvision.ocr.table-read-v1conf 100% · 262ms · $0.000 · 20 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 106
correctvision.ocr.table-read-v1conf 100% · 298ms · $0.000 · 155 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 147
correctvision.ocr.code-hunt-v1conf 100% · 401ms · $0.000 · 22 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DYPEVU4X
correctvision.ocr.code-hunt-v1conf 100% · 358ms · $0.000 · 23 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: F7T9UNU4
correctvision.ocr.code-hunt-v1conf 100% · 703ms · $0.000 · 21 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CJU4WXFM
correctvision.ocr.code-hunt-v1conf 100% · 667ms · $0.000 · 21 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DYKTFYM9
correctvision.ocr.table-read-v1conf 100% · 241ms · $0.000 · 22 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 81
correctvision.ocr.code-hunt-v1anchorconf 100% · 1.2s · $0.000 · 22 tok
model answer: VX7993D
correctvision.ocr.table-read-v1anchorconf 100% · 303ms · $0.000 · 19 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 100% · 1.3s · $0.000 · 23 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 100% · 1.1s · $0.000 · 19 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit522
  • 2026-08-05v0.2.0index_fit522
  • 2026-08-05v0.2.0index_fit538