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openai/gpt-5.4 · openai · context 1 050 000 · in $2.50/1M · out $15.00/1M

Global Index

658

95% CI [614702] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic621 [517725]
0.4660.870.610.000384ms$4.92
code872 [751993]
0.7920.980.990.000356ms$5.59
instruction following490 [386595]
0.3870.750.680.096374ms$0.784
knowledge725 [553897]
0.5421.001.000.000392ms$0.416
math518 [382653]
0.4920.880.840.192400ms$1.92
multilingual818 [654982]
0.6981.000.990.000372ms$0.558
reasoning523 [430615]
0.3080.800.680.000389ms$0.978
terminal698 [590805]
0.7091.000.880.154344ms$1.16
vision ocr654 [497811]
0.5340.970.960.077465ms$2.30

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 18/30 correct
correctagentic.tools.triage-v1conf 99% · 322ms · $0.005 · 249 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 5)
2. "locked out after 2FA change" (category: auth, priority 4)
3. "locked out after 2FA change" (category: auth, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
wrongagentic.tools.ledger-v1conf 99% · 353ms · $0.003 · 145 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: $504
- tango: $810
- alpha: $826

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $393 from "lima" to "tango"
2. pay $489 from "tango" to "lima"
3. pay $526 from "lima" to "alpha"
4. pay $471 from "alpha" to "lima"
5. pay $378 from "alpha" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"lima","to":"tango","amount":393}}, {"tool":"transfer","args":{"from":"tango","to":"lima","amount":489}}, {"tool":"top_up_from_reserve","args":{"account":"lima","amount":15}}, {"tool":"transfer","args":{"from":"lima","to":"alpha","amount":526}}, {"tool":"transfer","args":{"from":"alpha","to":"lima","amount":471}}, {"tool":"transfer","args":{"from":"alpha","to":"lima","amount":378}} ]
wrongagentic.tools.context-load-v1conf 99% · 332ms · $0.010 · 80 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):
```
1238|harbor|west|frame|66|pending
1410|birch|west|cable|99|pending
1376|ionic|east|cable|58|shipped
1878|harbor|north|rotor|54|pending
2002|fulton|north|panel|84|held
1233|fulton|south|rotor|63|shipped
1775|harbor|east|panel|67|paid
1974|fulton|north|pump|88|held
1476|acme|north|gasket|40|paid
1669|fulton|east|sensor|93|held
1595|ember|south|cable|69|held
1546|ember|north|valve|33|pending
1487|harbor|west|panel|25|held
1703|cobalt|west|frame|55|pending
1329|juno|south|frame|28|shipped
1418|dorian|west|cable|58|shipped
1138|acme|west|gasket|48|pending
1622|harbor|north|pump|22|paid
1949|juno|west|rotor|33|pending
1548|acme|west|panel|67|pending
1427|birch|north|frame|12|held
1738|fulton|north|rotor|77|pending
1180|harbor|west|rotor|91|shipped
1217|harbor|south|rotor|39|paid
1453|cobalt|south|pump|74|paid
1843|harbor|south|panel|44|pending
1493|harbor|east|rotor|52|held
1478|birch|south|pump|74|pending
1635|dorian|west|frame|93|shipped
1922|dorian|east|sensor|88|held
1301|acme|north|cable|83|shipped
1955|birch|east|frame|70|held
1752|dorian|west|sensor|88|held
1443|acme|west|pump|55|paid
2012|ionic|north|panel|21|paid
1792|ionic|north|cable|50|shipped
1871|dorian|west|pump|31|held
1583|cobalt|south|frame|93|held
1290|gale|north|valve|91|shipped
1721|cobalt|north|panel|25|pending
1761|ionic|north|valve|85|paid
1708|juno|south|frame|80|held
1435|birch|north|cable|64|paid
1730|fulton|east|rotor|68|paid
1416|cobalt|west|valve|46|paid
1383|ember|north|cable|55|paid
1675|acme|south|panel|88|held
1902|ionic|east|panel|82|held
1985|gale|east|rotor|53|paid
1273|ionic|south|pump|26|shipped
1814|cobalt|north|pump|44|pending
2025|ionic|north|valve|91|held
1433|juno|north|rotor|26|pending
1176|juno|east|sensor|35|held
1572|cobalt|north|panel|67|paid
1531|fulton|north|frame|58|paid
1915|gale|north|gasket|29|pending
1198|cobalt|south|sensor|79|paid
1313|harbor|west|valve|19|shipped
1576|ember|east|pump|78|pending
1227|ember|east|cable|95|shipped
1325|fulton|east|sensor|55|shipped
1592|fulton|east|rotor|38|held
1195|dorian|west|pump|21|pending
1781|cobalt|north|pump|53|pending
1686|ionic|east|valve|88|paid
1964|acme|south|cable|90|shipped
1352|birch|south|pump|74|paid
1735|dorian|east|gasket|97|held
1850|acme|west|rotor|19|held
1632|cobalt|west|gasket|69|shipped
1751|ember|south|gasket|33|pending
1966|juno|east|gasket|77|pending
1437|birch|south|gasket|50|held
1510|fulton|north|sensor|24|paid
1189|birch|north|frame|69|held
1140|acme|east|sensor|34|shipped
1569|fulton|west|cable|40|pending
1785|birch|west|sensor|79|held
1426|fulton|west|sensor|71|pending
1715|cobalt|east|rotor|32|paid
1407|harbor|east|cable|95|shipped
1610|gale|west|rotor|63|pending
1511|harbor|east|pump|49|pending
1205|ionic|north|frame|35|held
1339|fulton|south|sensor|62|pending
1953|dorian|south|pump|14|shipped
1696|ionic|south|panel|65|shipped
1309|acme|west|valve|99|paid
1820|cobalt|west|sensor|99|shipped
1832|juno|south|panel|43|pending
1387|ionic|east|rotor|62|shipped
1498|ember|north|valve|78|held
1757|ionic|east|gasket|94|pending
1972|gale|west|pump|70|paid
1464|harbor|north|rotor|72|pending
1402|fulton|west|rotor|62|held
1559|fulton|south|frame|94|shipped
1358|ember|north|panel|78|held
1566|cobalt|south|gasket|91|pending
1865|birch|west|gasket|59|shipped
1153|acme|east|sensor|93|shipped
1210|ionic|east|sensor|67|held
1251|gale|south|frame|77|pending
1419|birch|east|sensor|71|pending
1895|gale|west|gasket|57|pending
1270|ember|west|frame|56|shipped
1468|gale|west|panel|79|held
1745|acme|north|cable|35|paid
1989|ember|east|panel|26|held
1282|juno|south|frame|37|paid
1480|harbor|south|rotor|71|pending
1184|dorian|north|sensor|13|shipped
1167|acme|east|frame|69|pending
1454|ember|south|rotor|41|paid
1471|fulton|east|cable|15|shipped
1373|dorian|north|sensor|76|held
1141|acme|east|cable|43|pending
1267|birch|east|gasket|22|pending
1363|ionic|west|panel|61|held
1312|cobalt|north|pump|79|paid
1640|cobalt|north|rotor|65|paid
1185|acme|east|valve|30|shipped
1526|birch|east|rotor|55|pending
1882|ionic|east|cable|70|held
1295|cobalt|west|panel|58|shipped
1615|gale|north|frame|70|shipped
1166|acme|east|gasket|90|held
1806|cobalt|east|panel|84|held
1374|birch|east|sensor|92|held
1284|fulton|south|gasket|45|paid
1516|harbor|east|frame|37|shipped
2001|dorian|south|rotor|30|held
1920|birch|south|sensor|53|held
1815|birch|south|valve|98|paid
1349|harbor|south|cable|14|shipped
1254|birch|south|valve|32|shipped
1447|cobalt|east|gasket|61|shipped
1650|acme|south|rotor|10|held
1925|dorian|east|sensor|91|paid
1391|ionic|east|gasket|76|shipped
1794|ionic|west|rotor|69|shipped
1159|acme|east|cable|74|pending
1680|ember|east|frame|51|held
1333|ionic|east|rotor|73|held
1937|fulton|east|panel|90|held
1580|gale|north|panel|84|paid
1906|birch|south|rotor|83|held
1255|gale|west|valve|22|shipped
1881|juno|west|pump|74|paid
1307|cobalt|north|cable|37|pending
1960|juno|south|frame|16|paid
1836|gale|north|sensor|19|shipped
1641|cobalt|north|cable|56|held
1398|juno|north|sensor|45|paid
1581|ionic|east|sensor|58|pending
1851|juno|north|pump|18|shipped
1994|harbor|east|pump|53|paid
1802|ionic|north|sensor|16|held
1856|gale|east|gasket|67|pending
1517|acme|west|valve|25|pending
1689|acme|south|frame|73|paid
1614|acme|west|sensor|94|held
1770|dorian|west|pump|83|shipped
1626|birch|south|cable|20|paid
1522|fulton|south|cable|29|paid
1554|acme|west|cable|75|pending
1618|fulton|south|valve|60|paid
1908|gale|north|panel|11|paid
1892|dorian|west|pump|79|held
2017|ionic|east|gasket|96|held
1436|ember|west|sensor|81|held
1260|ember|south|valve|69|paid
1370|birch|north|gasket|53|shipped
1504|acme|east|gasket|15|paid
2035|birch|north|valve|30|shipped
1163|acme|south|sensor|16|pending
1643|cobalt|north|rotor|23|pending
1889|ember|west|valve|51|paid
1461|fulton|west|panel|37|held
1249|ember|east|panel|75|paid
1545|acme|south|cable|44|shipped
1318|ionic|south|panel|73|shipped
1662|ember|west|frame|16|shipped
1469|harbor|north|rotor|23|pending
1809|cobalt|west|sensor|65|pending
1864|cobalt|south|rotor|52|paid
1256|dorian|west|rotor|29|shipped
1728|gale|south|pump|29|shipped
2024|harbor|east|panel|49|shipped
1732|dorian|east|panel|63|pending
1826|acme|east|panel|37|pending
1589|gale|south|valve|74|pending
2031|birch|east|gasket|89|pending
1244|cobalt|west|cable|83|held
1931|ionic|north|rotor|94|held
1200|juno|east|rotor|56|pending
1172|acme|east|gasket|10|held
1444|gale|east|frame|55|shipped
2032|dorian|east|rotor|93|paid
2018|fulton|north|valve|71|pending
2009|gale|east|cable|49|shipped
1403|acme|west|sensor|22|shipped
1342|fulton|west|panel|74|held
1655|ember|east|sensor|51|held
1467|acme|east|frame|42|held
1657|ionic|north|cable|55|held
1147|acme|south|panel|87|pending
1278|juno|east|cable|20|shipped
1596|fulton|west|gasket|64|pending
1910|ember|west|valve|75|held
1536|gale|west|frame|86|held
1603|ionic|south|gasket|89|paid
1981|harbor|north|rotor|67|shipped
1541|fulton|west|panel|53|pending
1942|gale|east|valve|70|pending
1347|ionic|north|panel|45|pending
1505|fulton|east|panel|17|held
1257|fulton|east|gasket|81|held
1796|acme|north|gasket|27|shipped
1133|acme|east|frame|77|pending
1857|ionic|north|panel|44|shipped
1168|acme|north|gasket|22|pending
1765|gale|east|panel|77|pending
1220|ember|west|panel|50|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" 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":1141}}, {"tool":"restock","args":{"item":"cable","qty":74}}, {"tool":"cancel_order","args":{"order_id":1167}}, {"tool":"cancel_order","args":{"order_id":1826}} ]
correctagentic.tools.ledger-v1conf 99% · 1.2s · $0.003 · 141 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: $145
- alpha: $790
- bravo: $449

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $271 from "alpha" to "tango"
2. pay $366 from "alpha" to "bravo"
3. pay $332 from "alpha" to "tango"
4. pay $363 from "alpha" 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":"alpha","to":"tango","amount":271}}, {"tool":"transfer","args":{"from":"alpha","to":"bravo","amount":366}}, {"tool":"top_up_from_reserve","args":{"account":"alpha","amount":179}}, {"tool":"transfer","args":{"from":"alpha","to":"tango","amount":332}}, {"tool":"top_up_from_reserve","args":{"account":"alpha","amount":363}}, {"tool":"transfer","args":{"from":"alpha","to":"tango","amount":363}} ]
correctagentic.tools.deploy-v1conf 99% · 434ms · $0.002 · 81 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: reports
- gateway: auth-svc, reports
- billing: auth-svc
- 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 "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":"auth-svc"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"gateway"}} ]
correctagentic.tools.triage-v1conf 99% · 378ms · $0.006 · 310 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 4)
2. "export file corrupted" (category: data, priority 4)
3. "export file corrupted" (category: data, priority 4)
4. "API latency spikes" (category: infra, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "chen" } } ]
correctagentic.tools.deploy-v1conf 99% · 2.1s · $0.002 · 82 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: auth-svc, gateway
- notifier: auth-svc, search
- auth-svc: gateway
- gateway: (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":"gateway"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"search"}}, {"tool":"health_check","args":{"service":"search"}}, {"tool":"deploy","args":{"service":"notifier"}} ]
wrongagentic.tools.context-load-v1conf 98% · 284ms · $0.011 · 126 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 (235 records, format: id|customer|region|item|qty|status):
```
1533|gale|south|panel|86|held
1285|ember|west|sensor|11|pending
1142|birch|north|frame|85|shipped
1633|dorian|west|sensor|81|pending
1708|fulton|north|gasket|32|pending
1365|juno|west|panel|37|pending
1590|fulton|east|valve|27|held
1551|fulton|south|rotor|56|paid
1897|harbor|west|valve|35|pending
1373|harbor|east|valve|71|paid
1296|cobalt|west|panel|38|pending
1331|acme|north|frame|87|pending
1058|ember|west|sensor|28|held
1891|acme|north|pump|92|pending
1768|cobalt|west|frame|46|paid
1651|ember|north|cable|39|shipped
1452|birch|east|cable|16|paid
1269|harbor|south|sensor|32|paid
1305|juno|east|frame|77|held
1078|ionic|south|frame|84|shipped
1319|juno|south|valve|13|held
1358|birch|north|pump|48|shipped
1913|ionic|south|cable|18|shipped
1878|ember|east|gasket|22|held
1787|birch|west|sensor|21|paid
1698|gale|south|rotor|60|pending
1044|ember|east|panel|11|pending
1361|ember|west|frame|72|held
1514|ember|west|panel|69|pending
1070|ember|west|pump|96|shipped
1182|harbor|south|frame|56|shipped
1154|dorian|east|gasket|42|shipped
1680|dorian|west|panel|77|shipped
1758|juno|north|pump|71|pending
1491|birch|east|gasket|14|pending
1122|dorian|west|frame|14|held
1378|juno|north|cable|13|pending
1265|cobalt|north|gasket|49|pending
1264|birch|east|sensor|69|paid
1684|ionic|west|valve|90|shipped
1129|fulton|south|pump|39|paid
1561|gale|west|gasket|23|paid
1555|harbor|east|pump|17|held
1469|juno|west|valve|99|held
1620|acme|west|pump|72|paid
1608|cobalt|north|cable|95|shipped
1631|acme|east|sensor|76|held
1692|acme|west|valve|78|held
1191|juno|east|rotor|70|pending
1652|acme|north|sensor|39|paid
1642|juno|north|valve|85|shipped
1858|ionic|north|sensor|66|pending
1673|fulton|north|gasket|80|shipped
1727|juno|south|sensor|61|paid
1755|cobalt|south|cable|51|shipped
1871|harbor|west|pump|56|pending
1040|ember|west|pump|56|held
1276|ember|west|sensor|24|shipped
1385|juno|north|pump|78|held
1741|acme|east|sensor|42|paid
1152|birch|east|sensor|45|pending
1517|juno|west|pump|91|paid
1317|gale|west|sensor|19|paid
1852|juno|west|pump|73|paid
1865|gale|west|sensor|18|held
1252|dorian|north|gasket|80|paid
1719|birch|north|pump|41|pending
1437|dorian|east|gasket|81|paid
1922|ionic|west|pump|43|pending
1219|gale|north|pump|59|shipped
1407|ember|south|pump|74|shipped
1595|ionic|south|valve|20|paid
1850|cobalt|south|rotor|19|pending
1228|birch|north|frame|84|paid
1772|fulton|west|cable|27|held
1351|acme|north|panel|76|paid
1916|ionic|north|cable|68|paid
1444|ember|west|frame|26|paid
1637|ionic|north|sensor|59|pending
1257|harbor|west|sensor|71|shipped
1575|fulton|east|pump|55|pending
1545|harbor|west|pump|55|shipped
1151|ember|west|valve|11|held
1838|acme|west|panel|44|pending
1488|ionic|south|sensor|62|held
1497|harbor|east|cable|80|paid
1310|juno|west|cable|49|paid
1833|cobalt|south|frame|64|paid
1686|acme|west|pump|11|pending
1158|ionic|east|pump|96|pending
1169|fulton|north|pump|23|paid
1819|ionic|north|rotor|75|held
1509|gale|west|panel|88|pending
1795|juno|west|sensor|50|paid
1148|harbor|north|cable|13|held
1326|cobalt|south|valve|98|pending
1602|acme|west|cable|13|pending
1200|ember|east|gasket|56|held
1502|gale|south|gasket|70|shipped
1413|fulton|west|valve|58|held
1136|ionic|south|cable|86|paid
1064|ember|south|gasket|27|pending
1063|ember|west|sensor|71|pending
1715|dorian|north|panel|27|held
1367|juno|south|frame|37|paid
1261|ionic|west|cable|75|paid
1801|birch|west|valve|87|paid
1881|dorian|west|gasket|50|shipped
1707|birch|west|gasket|57|paid
1828|harbor|north|pump|69|shipped
1524|juno|south|gasket|64|pending
1241|fulton|north|panel|32|held
1542|ionic|south|rotor|51|paid
1808|cobalt|north|cable|79|held
1050|ember|west|pump|13|pending
1115|fulton|south|panel|31|paid
1659|juno|west|gasket|82|shipped
1333|juno|west|valve|78|held
1387|gale|west|cable|36|held
1095|juno|north|frame|27|held
1291|harbor|east|sensor|50|pending
1802|dorian|west|gasket|62|paid
1165|birch|south|rotor|18|pending
1624|ember|south|frame|14|held
1198|gale|east|panel|59|paid
1034|ember|south|frame|45|pending
1250|dorian|south|pump|43|pending
1764|dorian|north|valve|54|shipped
1422|birch|north|rotor|34|paid
1535|harbor|west|rotor|56|pending
1613|dorian|west|sensor|86|held
1900|harbor|south|panel|39|held
1167|ionic|north|gasket|92|paid
1243|acme|east|panel|36|pending
1451|cobalt|south|sensor|82|paid
1883|fulton|south|valve|94|pending
1189|ember|east|valve|93|pending
1176|ionic|west|sensor|88|pending
1830|cobalt|south|frame|64|shipped
1674|birch|south|sensor|64|pending
1395|ionic|north|gasket|68|shipped
1397|acme|west|cable|98|shipped
1335|fulton|east|frame|97|shipped
1699|gale|north|cable|24|shipped
1258|ember|south|cable|39|held
1534|fulton|west|pump|26|paid
1043|ember|west|rotor|79|pending
1212|dorian|west|valve|75|held
1647|ember|south|valve|76|paid
1027|ember|west|frame|64|pending
1303|cobalt|north|sensor|85|paid
1144|juno|west|gasket|82|shipped
1731|birch|north|rotor|78|held
1188|fulton|east|panel|28|paid
1560|birch|west|pump|58|pending
1660|juno|south|cable|23|shipped
1789|dorian|east|pump|32|pending
1389|cobalt|south|panel|11|pending
1504|cobalt|east|pump|64|paid
1159|cobalt|south|panel|86|shipped
1133|ember|west|gasket|90|paid
1399|juno|south|pump|96|held
1840|acme|west|panel|31|pending
1587|ionic|west|valve|32|held
1752|birch|south|pump|38|shipped
1234|birch|west|cable|80|paid
1716|acme|south|gasket|96|held
1075|fulton|south|valve|94|held
1051|ember|north|panel|84|pending
1738|ionic|south|rotor|70|paid
1722|ember|south|rotor|43|paid
1779|acme|east|panel|94|shipped
1434|birch|north|valve|57|pending
1092|harbor|east|gasket|48|held
1049|ember|west|gasket|41|paid
1131|dorian|west|rotor|91|shipped
1236|gale|south|valve|24|shipped
1529|gale|south|valve|97|paid
1110|harbor|west|sensor|23|held
1594|birch|west|panel|53|held
1353|cobalt|west|valve|54|shipped
1275|birch|south|pump|93|paid
1435|dorian|south|panel|52|pending
1541|fulton|north|valve|89|pending
1857|ionic|east|gasket|48|shipped
1911|birch|north|panel|60|shipped
1427|birch|south|frame|25|shipped
1657|juno|north|valve|76|paid
1096|harbor|north|rotor|16|held
1100|harbor|west|pump|23|shipped
1410|birch|south|panel|49|paid
1107|fulton|south|gasket|97|paid
1350|juno|south|sensor|29|pending
1418|gale|east|sensor|92|shipped
1255|birch|west|pump|94|paid
1568|gale|south|gasket|91|held
1513|fulton|west|panel|52|shipped
1340|birch|north|sensor|61|shipped
1206|harbor|north|gasket|20|shipped
1784|juno|south|frame|93|held
1227|dorian|east|gasket|96|held
1813|gale|north|panel|86|pending
1481|acme|south|gasket|62|paid
1223|fulton|west|rotor|61|shipped
1454|fulton|south|panel|34|paid
1071|acme|east|panel|33|shipped
1402|acme|south|gasket|27|held
1283|acme|east|valve|15|held
1474|gale|east|frame|72|shipped
1746|dorian|north|rotor|25|held
1582|ionic|north|cable|31|shipped
1843|gale|east|pump|76|pending
1906|ionic|east|cable|29|held
1459|fulton|south|pump|40|pending
1249|cobalt|south|panel|11|pending
1701|acme|west|rotor|13|pending
1344|juno|east|frame|35|held
1462|dorian|north|panel|24|pending
1447|cobalt|west|cable|90|paid
1737|birch|south|pump|25|shipped
1854|ember|east|cable|98|pending
1375|harbor|north|rotor|30|shipped
1889|birch|east|frame|70|held
1472|dorian|west|valve|45|pending
1480|harbor|south|pump|68|pending
1669|juno|south|rotor|25|shipped
1085|gale|south|cable|42|paid
1821|birch|west|panel|46|paid
1081|fulton|west|frame|38|pending
1201|ionic|south|panel|81|paid
1711|juno|west|rotor|74|held
1650|birch|north|rotor|73|shipped
1667|dorian|south|panel|96|shipped
1855|fulton|west|frame|61|shipped
1896|juno|west|sensor|35|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"cancel_order","args":{"order_id":1027}}, {"tool":"cancel_order","args":{"order_id":1043}}, {"tool":"cancel_order","args":{"order_id":1050}}, {"tool":"cancel_order","args":{"order_id":1063}}, {"tool":"cancel_order","args":{"order_id":1285}}, {"tool":"restock","args":{"item":"frame","qty":72}}, {"tool":"restock","args":{"item":"panel","qty":69}} ]
correctagentic.tools.triage-v1conf 99% · 338ms · $0.005 · 244 tok
question
You operate a support desk strictly through tool calls.

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

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 5 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "novak" } } ]
correctagentic.tools.ledger-v1conf 99% · 396ms · $0.004 · 166 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $850
- bravo: $455
- tango: $892

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $379 from "delta" to "tango"
2. pay $153 from "bravo" to "tango"
3. pay $195 from "bravo" to "delta"
4. pay $527 from "bravo" to "delta"
5. pay $560 from "bravo" 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":"delta","to":"tango","amount":379}}, {"tool":"transfer","args":{"from":"bravo","to":"tango","amount":153}}, {"tool":"transfer","args":{"from":"bravo","to":"delta","amount":195}}, {"tool":"top_up_from_reserve","args":{"account":"bravo","amount":420}}, {"tool":"transfer","args":{"from":"bravo","to":"delta","amount":527}}, {"tool":"top_up_from_reserve","args":{"account":"bravo","amount":560}}, {"tool":"transfer","args":{"from":"bravo","to":"tango","amount":560}} ]
wrongagentic.tools.context-load-v1conf 99% · 312ms · $0.007 · 110 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (120 records, format: id|customer|region|item|qty|status):
```
1761|dorian|south|sensor|40|held
1733|ember|south|gasket|65|paid
1583|harbor|west|rotor|48|paid
1559|ember|north|frame|43|held
1521|harbor|south|gasket|11|shipped
1751|ember|east|cable|92|held
1621|harbor|west|valve|14|held
1780|gale|east|valve|73|shipped
1712|cobalt|west|cable|46|held
1414|ember|west|gasket|46|pending
1675|acme|west|pump|82|paid
1400|ember|south|cable|78|pending
1474|birch|south|frame|78|paid
1711|gale|south|panel|22|paid
1634|gale|south|panel|31|shipped
1497|ember|west|panel|37|shipped
1730|juno|east|cable|46|held
1513|acme|south|gasket|24|held
1565|juno|east|pump|98|pending
1393|ember|west|valve|52|pending
1455|ember|east|rotor|88|paid
1806|ember|south|panel|45|pending
1611|gale|west|frame|41|shipped
1425|juno|north|cable|84|paid
1601|fulton|south|gasket|74|pending
1389|ember|west|gasket|15|shipped
1757|dorian|south|rotor|23|shipped
1594|gale|south|sensor|72|pending
1434|acme|east|pump|45|shipped
1628|dorian|north|pump|49|paid
1803|harbor|east|gasket|83|shipped
1549|juno|east|pump|60|held
1786|juno|south|valve|73|shipped
1450|harbor|north|cable|13|paid
1729|ember|north|gasket|48|paid
1477|acme|west|rotor|99|held
1388|ember|east|pump|52|pending
1796|ionic|east|frame|66|held
1572|fulton|south|rotor|80|pending
1698|acme|west|rotor|48|shipped
1506|cobalt|west|cable|70|pending
1606|acme|west|valve|55|paid
1633|cobalt|north|frame|71|shipped
1776|ember|east|pump|75|held
1794|gale|north|valve|84|pending
1420|ember|south|gasket|12|pending
1741|cobalt|north|panel|44|pending
1577|fulton|west|cable|54|pending
1641|fulton|south|frame|48|shipped
1453|gale|south|sensor|50|pending
1452|harbor|north|frame|59|paid
1809|birch|south|cable|85|pending
1505|cobalt|east|gasket|95|held
1688|ionic|south|frame|64|pending
1547|harbor|west|pump|12|paid
1773|ionic|east|valve|57|held
1779|birch|north|rotor|51|paid
1451|fulton|east|panel|69|paid
1686|juno|south|valve|19|pending
1805|ember|east|pump|26|shipped
1617|ionic|west|sensor|37|shipped
1460|harbor|north|rotor|50|held
1678|birch|west|rotor|86|paid
1490|dorian|east|pump|24|paid
1800|gale|west|sensor|45|pending
1635|gale|south|panel|90|held
1515|harbor|west|cable|20|held
1527|gale|east|panel|79|paid
1739|cobalt|south|cable|54|pending
1537|acme|north|pump|45|paid
1820|dorian|west|sensor|33|pending
1380|ember|west|panel|25|shipped
1691|harbor|south|cable|81|shipped
1562|ionic|west|frame|65|shipped
1456|gale|east|panel|84|pending
1526|dorian|east|gasket|55|pending
1815|acme|east|pump|19|pending
1671|dorian|south|valve|53|held
1705|harbor|south|panel|35|held
1715|juno|east|sensor|78|pending
1494|dorian|north|frame|32|held
1664|ember|south|gasket|59|paid
1430|gale|east|panel|92|pending
1744|cobalt|east|frame|75|shipped
1679|harbor|west|rotor|11|pending
1658|ember|east|panel|36|shipped
1437|gale|south|frame|73|paid
1445|ember|west|rotor|14|shipped
1542|acme|east|sensor|15|paid
1573|gale|east|gasket|90|paid
1590|ionic|south|frame|70|held
1407|ember|west|valve|16|paid
1659|harbor|south|frame|88|held
1499|harbor|east|sensor|62|held
1793|cobalt|east|panel|19|pending
1378|ember|east|valve|90|pending
1767|dorian|east|rotor|20|paid
1529|ember|west|cable|71|held
1535|fulton|north|rotor|64|shipped
1717|ionic|west|frame|39|paid
1479|cobalt|west|frame|79|pending
1556|birch|east|panel|50|held
1657|cobalt|south|sensor|64|shipped
1461|juno|south|cable|13|paid
1424|ember|west|cable|95|paid
1579|gale|north|gasket|44|pending
1645|birch|south|gasket|54|shipped
1696|gale|west|frame|35|paid
1375|ember|west|frame|14|pending
1759|gale|south|pump|94|pending
1722|birch|north|gasket|21|paid
1652|gale|east|sensor|58|shipped
1468|gale|north|rotor|35|paid
1732|birch|west|valve|44|held
1569|gale|north|gasket|95|pending
1440|ionic|west|cable|51|pending
1484|gale|south|rotor|80|paid
1386|ember|west|cable|30|pending
1612|harbor|north|rotor|90|shipped
1502|ionic|south|rotor|34|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"cancel_order","args":{"order_id":1375}}, {"tool":"cancel_order","args":{"order_id":1386}}, {"tool":"cancel_order","args":{"order_id":1393}}, {"tool":"restock","args":{"item":"cable","qty":78}}, {"tool":"cancel_order","args":{"order_id":1414}}, {"tool":"cancel_order","args":{"order_id":1806}} ]
correctagentic.tools.deploy-v1conf 99% · 708ms · $0.002 · 81 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"reports"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"health_check","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"gateway"}} ]
correctagentic.tools.triage-v1conf 99% · 313ms · $0.007 · 384 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 5)
2. "refund double-charged" (category: payments, priority 8)
3. "dashboard shows stale numbers" (category: data, priority 9)
4. "locked out after 2FA change" (category: auth, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-3" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 5 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-1" } } ]
wrongagentic.tools.ledger-v1conf 99% · 323ms · $0.003 · 146 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $178
- tango: $492
- bravo: $165

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $285 from "bravo" to "tango"
2. pay $309 from "tango" to "bravo"
3. pay $455 from "bravo" to "tango"
4. pay $564 from "tango" to "echo"

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":"top_up_from_reserve","args":{"account":"bravo","amount":120}}, {"tool":"transfer","args":{"from":"bravo","to":"tango","amount":285}}, {"tool":"transfer","args":{"from":"tango","to":"bravo","amount":309}}, {"tool":"top_up_from_reserve","args":{"account":"bravo","amount":266}}, {"tool":"transfer","args":{"from":"bravo","to":"tango","amount":455}}, {"tool":"transfer","args":{"from":"tango","to":"echo","amount":564}} ]
correctagentic.tools.triage-v1conf 99% · 642ms · $0.005 · 270 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 → chen
- payments → dubois
- data → haddad

INCIDENTS:
1. "cannot reset password" (category: auth, priority 4)
2. "cannot reset password" (category: auth, priority 4)
3. "dashboard shows stale numbers" (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": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "cannot reset password", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-3" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "haddad" } } ]
wrongagentic.tools.context-load-v1conf 98% · 489ms · $0.009 · 97 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 (181 records, format: id|customer|region|item|qty|status):
```
1435|dorian|west|frame|28|paid
1896|juno|south|rotor|94|pending
1499|harbor|west|pump|91|held
1891|fulton|north|gasket|49|shipped
1549|acme|north|cable|69|pending
1321|ionic|south|sensor|91|pending
1315|fulton|west|panel|15|pending
1423|gale|west|valve|93|paid
1536|ionic|north|gasket|70|held
1294|acme|south|frame|14|pending
1803|juno|east|gasket|29|held
1681|dorian|south|sensor|32|shipped
1580|ionic|south|pump|44|paid
1346|dorian|south|gasket|79|paid
1990|fulton|east|rotor|69|pending
1330|acme|north|gasket|26|pending
1920|birch|north|gasket|29|pending
1463|gale|west|rotor|62|shipped
1326|fulton|east|pump|18|held
1543|juno|south|rotor|52|held
1671|harbor|south|sensor|22|pending
1831|gale|west|panel|78|pending
1290|acme|west|cable|17|pending
1771|dorian|west|sensor|11|paid
1765|dorian|south|panel|34|pending
1988|harbor|west|pump|84|held
1973|dorian|west|sensor|25|held
1591|ionic|west|sensor|46|paid
1752|acme|east|cable|20|shipped
1642|gale|west|valve|83|pending
1579|ember|east|frame|76|shipped
1905|dorian|west|frame|44|shipped
1730|cobalt|north|panel|93|shipped
1784|cobalt|south|gasket|93|held
1703|fulton|south|pump|24|paid
1683|birch|north|valve|31|shipped
1944|acme|east|pump|70|pending
1881|fulton|north|pump|77|held
1710|cobalt|east|pump|33|paid
1340|juno|west|panel|48|pending
1700|ember|south|frame|99|shipped
1826|juno|west|valve|22|pending
1420|ember|west|rotor|75|shipped
1443|gale|south|sensor|77|shipped
1960|juno|west|gasket|82|pending
1738|gale|north|valve|48|pending
1658|juno|north|valve|66|pending
1675|cobalt|east|frame|32|held
1736|cobalt|north|frame|96|pending
1696|cobalt|north|cable|96|paid
1713|dorian|south|rotor|35|held
1625|dorian|north|rotor|25|shipped
1336|acme|east|sensor|97|held
1742|harbor|north|valve|47|paid
1866|fulton|east|pump|95|pending
1983|birch|west|cable|20|shipped
1561|ember|west|pump|71|held
1953|fulton|west|sensor|83|pending
1970|cobalt|east|sensor|88|pending
1470|fulton|north|panel|79|paid
1329|cobalt|north|panel|69|shipped
1428|acme|north|pump|54|shipped
1982|acme|south|valve|82|held
1361|acme|west|frame|11|paid
1487|ember|west|panel|67|pending
1745|dorian|west|sensor|18|pending
1596|ember|east|cable|47|shipped
1739|acme|east|cable|79|paid
1576|dorian|west|rotor|30|held
1605|ember|north|frame|49|shipped
1992|gale|east|cable|58|paid
1401|fulton|south|cable|23|paid
1654|gale|west|cable|54|pending
1890|cobalt|south|sensor|99|held
1711|ionic|north|pump|33|held
1608|ember|south|frame|95|held
1670|birch|south|sensor|48|pending
1457|juno|south|rotor|95|paid
1876|fulton|west|gasket|97|held
1493|juno|west|frame|43|shipped
1522|gale|east|valve|83|paid
1721|harbor|west|pump|42|pending
1528|ember|west|panel|86|held
1585|fulton|east|valve|61|paid
1836|harbor|south|panel|99|pending
1426|ember|south|sensor|72|shipped
1812|fulton|east|panel|59|paid
1280|acme|north|valve|32|pending
1306|acme|north|valve|61|pending
1764|dorian|west|valve|67|paid
1770|ember|north|pump|77|held
1840|birch|west|frame|87|paid
1661|birch|south|cable|81|shipped
1717|ionic|east|frame|57|pending
1619|ember|east|pump|21|held
1475|gale|south|valve|80|held
1648|cobalt|east|panel|98|shipped
1755|acme|west|cable|78|paid
1740|cobalt|north|pump|44|held
1482|birch|north|valve|89|paid
1278|acme|west|rotor|45|pending
1852|dorian|east|cable|80|paid
1571|juno|south|sensor|98|paid
1946|cobalt|north|pump|31|shipped
1795|harbor|north|rotor|70|held
1966|fulton|north|cable|49|pending
1614|ionic|west|sensor|16|shipped
1413|juno|west|frame|81|pending
1406|fulton|west|gasket|97|paid
1720|fulton|west|rotor|41|pending
1327|ionic|north|gasket|36|held
1974|cobalt|south|frame|87|held
1397|acme|east|sensor|36|pending
1515|acme|north|gasket|47|shipped
1409|birch|west|panel|68|pending
1894|harbor|east|frame|54|pending
1616|juno|east|sensor|34|paid
1434|cobalt|west|pump|37|pending
1999|harbor|north|valve|74|shipped
1863|ember|south|pump|35|held
1390|ionic|east|frame|74|shipped
1377|harbor|north|gasket|34|held
1925|fulton|east|panel|84|paid
1790|fulton|west|frame|73|paid
1510|acme|north|rotor|12|held
1404|juno|east|sensor|82|pending
1416|cobalt|north|rotor|10|held
1567|ionic|east|panel|30|paid
1590|fulton|south|panel|89|shipped
1598|gale|west|rotor|92|pending
1399|cobalt|east|cable|32|held
1818|dorian|south|cable|26|paid
1724|fulton|east|gasket|51|held
1932|ember|west|pump|90|shipped
1859|cobalt|west|rotor|31|held
1450|acme|north|pump|45|paid
1870|ember|north|panel|17|pending
1422|fulton|north|frame|20|pending
1350|acme|east|pump|71|shipped
1986|ember|east|gasket|52|held
1810|ember|west|gasket|10|held
1758|ember|north|pump|55|shipped
1977|ember|west|gasket|57|held
1354|cobalt|south|cable|60|shipped
1885|harbor|north|pump|79|shipped
1907|fulton|south|cable|52|held
1887|fulton|east|rotor|80|held
1926|ionic|south|cable|19|pending
1939|birch|north|gasket|23|held
1366|ember|east|gasket|69|pending
1318|birch|east|frame|77|pending
1759|ember|west|valve|17|shipped
1635|ember|west|pump|49|shipped
1864|dorian|north|sensor|93|held
1302|acme|west|panel|91|pending
1513|ionic|south|cable|58|pending
1370|ember|south|sensor|67|pending
1310|acme|west|rotor|63|paid
1797|birch|east|cable|54|shipped
1804|juno|south|gasket|52|shipped
1554|cobalt|west|cable|60|pending
1668|gale|east|valve|18|shipped
1845|fulton|north|pump|89|held
1382|juno|south|rotor|54|pending
1283|acme|west|frame|13|shipped
1775|dorian|west|frame|48|held
1386|cobalt|west|rotor|81|paid
1299|acme|west|gasket|79|shipped
1781|cobalt|east|sensor|65|held
1441|cobalt|west|sensor|10|held
1503|juno|south|sensor|29|pending
1900|ember|west|rotor|54|shipped
1507|gale|south|frame|21|shipped
1610|gale|west|frame|48|paid
1819|ionic|west|sensor|95|shipped
1314|fulton|west|sensor|90|held
1530|gale|west|pump|11|pending
1629|birch|east|cable|45|paid
1839|fulton|west|cable|77|shipped
1690|birch|north|frame|18|pending
1914|harbor|west|gasket|25|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 > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"cancel_order","args":{"order_id":1290}}, {"tool":"cancel_order","args":{"order_id":1278}}, {"tool":"restock","args":{"item":"panel","qty":91}}, {"tool":"cancel_order","args":{"order_id":1397}}, {"tool":"restock","args":{"item":"cable","qty":78}} ]
wrongagentic.tools.deploy-v1conf 99% · 559ms · $0.002 · 81 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"gateway"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"health_check","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"search"}}, {"tool":"deploy","args":{"service":"auth-svc"}} ]
correctagentic.tools.triage-v1conf 99% · 2.1s · $0.005 · 247 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 → silva
- infra → haddad
- payments → novak

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 7)
2. "locked out after 2FA change" (category: auth, priority 7)
3. "card declined at checkout" (category: payments, 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": "locked out after 2FA change", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 7 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "novak" } } ]
correctagentic.tools.ledger-v1conf 99% · 354ms · $0.004 · 166 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $825
- tango: $127
- lima: $858

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $440 from "lima" to "tango"
2. pay $393 from "lima" to "delta"
3. pay $460 from "lima" to "delta"
4. pay $583 from "delta" to "tango"
5. pay $448 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":"lima","to":"tango","amount":440}}, {"tool":"transfer","args":{"from":"lima","to":"delta","amount":393}}, {"tool":"top_up_from_reserve","args":{"account":"lima","amount":435}}, {"tool":"transfer","args":{"from":"lima","to":"delta","amount":460}}, {"tool":"transfer","args":{"from":"delta","to":"tango","amount":583}}, {"tool":"top_up_from_reserve","args":{"account":"lima","amount":448}}, {"tool":"transfer","args":{"from":"lima","to":"tango","amount":448}} ]
wrongagentic.tools.context-load-v1conf 99% · 861ms · $0.009 · 110 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (169 records, format: id|customer|region|item|qty|status):
```
2007|juno|south|cable|11|pending
1886|fulton|south|cable|78|pending
1899|ember|south|valve|68|held
1526|ember|north|sensor|57|paid
1739|dorian|north|gasket|32|pending
1930|acme|east|sensor|65|shipped
1734|ionic|west|rotor|37|held
1693|gale|west|pump|94|held
2001|fulton|south|frame|24|held
1748|juno|south|rotor|77|shipped
1852|birch|west|rotor|59|pending
1467|gale|west|panel|23|shipped
1974|ionic|east|pump|31|shipped
1853|ember|west|valve|20|paid
2046|gale|west|sensor|75|held
1724|ember|north|panel|49|paid
1601|dorian|north|frame|19|pending
2033|cobalt|west|gasket|90|held
1851|birch|west|frame|11|held
1652|dorian|west|panel|71|shipped
1564|harbor|east|pump|60|held
1916|birch|north|frame|86|pending
1726|dorian|north|panel|99|paid
1566|ember|north|panel|24|pending
1443|gale|west|cable|67|held
1773|ionic|west|panel|61|paid
1802|birch|north|valve|36|shipped
1973|acme|west|sensor|72|shipped
1499|acme|east|valve|16|shipped
2005|cobalt|north|cable|26|paid
1818|ember|east|cable|91|held
2011|fulton|east|valve|40|shipped
2074|cobalt|south|sensor|46|held
1711|harbor|north|rotor|10|held
1629|ember|north|frame|97|pending
1917|ember|south|pump|83|shipped
1953|fulton|south|frame|23|held
1697|harbor|west|rotor|40|held
1789|ionic|east|cable|58|pending
1869|dorian|west|pump|55|shipped
1824|juno|north|cable|43|shipped
1978|dorian|north|valve|51|held
2055|cobalt|north|rotor|69|paid
1913|juno|east|pump|29|held
1894|acme|south|frame|90|held
1715|ionic|north|cable|14|held
1784|fulton|west|gasket|77|held
1487|acme|west|frame|76|held
1907|acme|north|panel|64|held
2004|gale|east|valve|25|pending
1814|harbor|south|panel|46|held
1750|birch|west|sensor|21|shipped
1521|fulton|north|valve|80|paid
1592|fulton|south|valve|82|pending
1967|dorian|north|valve|15|pending
1704|ionic|west|gasket|72|held
2042|dorian|west|gasket|57|paid
1509|juno|south|cable|34|pending
1575|birch|east|pump|86|paid
1976|gale|south|sensor|66|paid
1538|birch|south|panel|60|pending
1827|birch|north|sensor|52|pending
1846|fulton|west|rotor|76|held
1844|cobalt|east|sensor|89|shipped
1981|gale|west|cable|88|paid
1461|gale|north|rotor|19|pending
1996|gale|south|rotor|74|held
1937|juno|north|frame|30|pending
1667|acme|east|valve|85|pending
1804|birch|east|frame|68|held
1792|dorian|west|valve|74|held
1787|ionic|south|panel|60|pending
1491|juno|north|rotor|49|pending
1635|ionic|west|sensor|31|shipped
1449|gale|west|gasket|49|pending
2043|fulton|east|gasket|60|held
1803|ionic|north|cable|64|held
1469|gale|west|pump|58|pending
1684|birch|south|sensor|60|held
1878|cobalt|south|sensor|44|shipped
1459|gale|west|pump|80|pending
1505|dorian|west|valve|72|pending
2023|ionic|east|gasket|21|paid
1540|ember|east|frame|15|pending
1674|acme|east|sensor|57|held
1569|dorian|south|frame|77|held
1884|gale|south|panel|20|paid
1767|gale|east|frame|15|pending
2050|fulton|east|sensor|95|pending
1436|gale|west|valve|81|pending
1762|cobalt|south|sensor|86|held
1873|gale|west|gasket|68|pending
1984|ember|west|sensor|68|paid
1458|gale|west|panel|82|shipped
1480|acme|east|frame|64|shipped
1834|fulton|south|valve|99|paid
1643|ember|south|valve|53|paid
1685|harbor|east|sensor|51|pending
1607|cobalt|south|pump|75|paid
1441|gale|east|valve|53|pending
1993|harbor|north|rotor|68|shipped
1756|ionic|south|sensor|10|held
1451|gale|south|frame|59|pending
1558|ionic|north|gasket|96|pending
1857|juno|north|pump|73|held
1906|ember|west|frame|94|pending
1941|acme|west|sensor|74|paid
2026|dorian|west|sensor|92|held
1947|juno|east|sensor|17|pending
2057|birch|east|cable|91|held
1514|dorian|east|rotor|27|shipped
1806|dorian|south|sensor|61|shipped
1581|cobalt|west|rotor|15|paid
1862|acme|north|gasket|97|held
1546|birch|west|rotor|16|paid
2066|fulton|south|panel|29|shipped
1622|acme|east|panel|83|held
1479|gale|west|valve|17|held
1638|ionic|north|pump|62|paid
1690|birch|east|sensor|24|shipped
1892|ionic|north|sensor|73|held
2072|harbor|north|sensor|57|held
1923|fulton|south|cable|13|pending
1646|acme|north|valve|34|shipped
1496|birch|east|panel|28|paid
1679|acme|south|panel|66|shipped
2060|ionic|east|sensor|40|shipped
1901|cobalt|north|frame|88|pending
1986|birch|north|sensor|96|held
1945|acme|south|frame|96|pending
1532|acme|north|frame|11|shipped
1598|fulton|south|panel|44|held
1555|gale|south|rotor|61|pending
1839|juno|north|panel|16|held
1821|ember|west|rotor|69|paid
2038|birch|west|cable|44|pending
1866|harbor|north|valve|14|paid
1648|ember|east|rotor|36|held
1960|juno|west|rotor|94|paid
1485|cobalt|west|sensor|69|pending
1741|dorian|north|frame|31|held
1659|ember|east|pump|68|held
1645|fulton|north|rotor|57|shipped
1614|ionic|west|pump|20|pending
2016|harbor|east|sensor|20|held
1619|birch|west|sensor|96|held
1551|gale|west|panel|33|shipped
1777|birch|north|pump|77|shipped
1492|fulton|east|frame|40|shipped
1936|gale|west|valve|69|paid
1572|juno|north|cable|43|pending
1683|gale|east|cable|74|held
1717|harbor|north|frame|59|shipped
1759|cobalt|east|panel|29|pending
2051|acme|east|pump|32|held
1712|harbor|north|cable|53|shipped
1474|gale|north|gasket|45|pending
1666|gale|north|panel|50|held
1535|birch|north|frame|43|pending
1682|ember|north|cable|76|pending
1808|fulton|north|frame|49|paid
1799|fulton|north|pump|91|held
1701|ionic|west|gasket|86|shipped
1911|gale|west|gasket|39|held
1793|birch|west|rotor|12|pending
1733|gale|south|panel|64|paid
1559|harbor|south|valve|49|paid
1891|gale|north|frame|17|paid
1587|ember|north|sensor|58|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, 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":"pending","args":{}}, {"tool":"cancel_order","args":{"order_id":1449}}, {"tool":"cancel_order","args":{"order_id":1469}}, {"tool":"restock","args":{"item":"pump","qty":80}}, {"tool":"restock","args":{"item":"valve","qty":81}}, {"tool":"restock","args":{"item":"gasket","qty":68}} ]
correctagentic.tools.deploy-v1conf 99% · 384ms · $0.002 · 79 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"gateway"}}, {"tool":"deploy","args":{"service":"search"}}, {"tool":"deploy","args":{"service":"reports"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"health_check","args":{"service":"billing"}} ]
correctagentic.tools.ledger-v1conf 99% · 325ms · $0.003 · 127 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $473
- tango: $670
- lima: $805

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $236 from "tango" to "bravo"
2. pay $242 from "tango" to "bravo"
3. pay $503 from "bravo" to "tango"
4. pay $410 from "tango" to "lima"
5. pay $333 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":"tango","to":"bravo","amount":236}}, {"tool":"transfer","args":{"from":"tango","to":"bravo","amount":242}}, {"tool":"transfer","args":{"from":"bravo","to":"tango","amount":503}}, {"tool":"transfer","args":{"from":"tango","to":"lima","amount":410}}, {"tool":"transfer","args":{"from":"lima","to":"tango","amount":333}} ]
wrongagentic.tools.context-load-v1conf 98% · 693ms · $0.008 · 98 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (145 records, format: id|customer|region|item|qty|status):
```
1387|juno|south|rotor|22|paid
1099|dorian|west|frame|36|pending
1571|juno|south|panel|41|shipped
1114|dorian|west|rotor|90|pending
1403|acme|west|pump|89|paid
1580|acme|north|panel|48|shipped
1170|birch|north|sensor|21|pending
1319|juno|north|pump|18|held
1119|dorian|north|rotor|20|pending
1292|harbor|south|gasket|16|pending
1333|fulton|east|panel|97|pending
1120|dorian|west|cable|55|shipped
1106|dorian|south|gasket|38|pending
1279|ionic|west|pump|80|held
1458|ionic|north|valve|32|held
1405|dorian|west|gasket|97|held
1163|fulton|south|pump|70|held
1653|juno|north|cable|67|pending
1150|birch|west|frame|99|held
1440|gale|west|frame|82|pending
1502|birch|east|rotor|44|held
1543|juno|east|pump|38|pending
1129|dorian|south|frame|66|pending
1176|ember|north|frame|46|held
1468|acme|west|gasket|27|held
1473|cobalt|north|frame|91|shipped
1516|cobalt|south|frame|43|pending
1269|fulton|west|gasket|26|paid
1337|harbor|south|cable|49|pending
1322|harbor|west|sensor|45|shipped
1568|birch|north|rotor|55|paid
1340|cobalt|east|sensor|52|pending
1244|acme|south|frame|61|held
1202|ember|south|cable|12|pending
1694|birch|north|gasket|59|held
1391|dorian|west|rotor|92|paid
1188|birch|south|cable|11|held
1093|dorian|west|pump|24|pending
1361|cobalt|north|gasket|54|shipped
1158|fulton|north|panel|42|pending
1251|harbor|south|gasket|55|shipped
1348|gale|north|valve|97|pending
1618|birch|south|panel|63|paid
1315|birch|north|gasket|27|shipped
1140|fulton|south|cable|50|shipped
1396|juno|east|cable|48|shipped
1628|cobalt|south|sensor|36|shipped
1277|ionic|east|frame|55|shipped
1592|ionic|west|cable|72|paid
1127|dorian|west|rotor|31|pending
1205|harbor|east|frame|19|shipped
1266|ember|south|gasket|43|shipped
1647|fulton|south|rotor|77|shipped
1603|gale|south|sensor|24|pending
1273|fulton|west|gasket|28|shipped
1466|acme|west|sensor|61|pending
1622|acme|north|frame|81|pending
1420|juno|south|frame|26|paid
1462|acme|south|rotor|22|paid
1536|juno|south|panel|32|paid
1094|dorian|east|frame|55|pending
1374|fulton|east|cable|78|pending
1181|dorian|south|cable|24|held
1660|dorian|south|frame|30|shipped
1301|acme|south|frame|86|held
1520|gale|north|panel|67|held
1573|cobalt|west|gasket|65|shipped
1135|dorian|west|frame|56|paid
1434|fulton|north|cable|66|held
1485|ionic|west|sensor|26|held
1492|dorian|east|panel|46|held
1341|harbor|south|rotor|93|paid
1286|juno|west|pump|21|held
1232|juno|north|sensor|76|held
1313|cobalt|east|gasket|67|shipped
1195|cobalt|south|pump|70|shipped
1295|birch|south|cable|26|paid
1576|fulton|north|pump|61|paid
1454|ember|north|rotor|33|pending
1678|gale|west|sensor|10|held
1500|ember|north|pump|94|held
1640|fulton|east|pump|29|paid
1278|fulton|west|frame|72|shipped
1635|ionic|west|frame|91|paid
1308|ember|south|sensor|43|paid
1258|gale|west|gasket|64|pending
1612|gale|south|sensor|97|held
1691|ember|south|cable|27|shipped
1519|gale|west|rotor|92|shipped
1625|dorian|south|cable|73|shipped
1490|juno|north|valve|79|pending
1281|cobalt|east|panel|57|paid
1167|ember|south|panel|18|held
1350|gale|west|frame|77|held
1525|ember|south|rotor|24|paid
1261|fulton|south|gasket|91|shipped
1259|juno|east|sensor|10|pending
1157|ionic|south|panel|72|shipped
1478|harbor|west|rotor|45|held
1174|harbor|west|rotor|88|paid
1521|harbor|east|panel|86|held
1368|juno|south|valve|76|shipped
1540|ionic|west|sensor|23|paid
1380|fulton|west|panel|43|paid
1210|cobalt|south|cable|12|pending
1430|fulton|east|panel|91|held
1599|gale|east|gasket|40|shipped
1141|dorian|north|cable|20|paid
1146|juno|west|rotor|66|held
1184|cobalt|north|cable|74|pending
1217|ionic|east|gasket|11|pending
1675|gale|north|rotor|68|shipped
1229|dorian|west|pump|60|shipped
1684|harbor|west|valve|78|held
1557|cobalt|south|sensor|89|held
1506|juno|east|frame|85|held
1548|harbor|south|valve|78|pending
1427|juno|north|panel|95|pending
1329|dorian|north|rotor|84|pending
1495|cobalt|west|valve|60|paid
1209|dorian|west|rotor|79|pending
1552|dorian|north|frame|95|shipped
1414|fulton|west|valve|83|pending
1669|ember|south|valve|52|paid
1238|ionic|south|frame|53|paid
1445|harbor|south|sensor|21|shipped
1531|acme|south|valve|10|shipped
1696|acme|south|frame|88|paid
1223|dorian|north|sensor|47|paid
1147|cobalt|north|frame|86|pending
1410|harbor|north|panel|30|held
1395|ionic|south|valve|83|shipped
1450|birch|north|gasket|44|held
1561|juno|south|gasket|73|pending
1649|dorian|east|cable|44|paid
1356|birch|west|cable|67|paid
1097|dorian|west|valve|66|shipped
1608|cobalt|south|pump|94|held
1304|dorian|east|rotor|83|shipped
1533|dorian|north|rotor|90|held
1512|harbor|south|frame|34|shipped
1110|dorian|west|frame|91|paid
1585|harbor|south|panel|45|shipped
1670|ionic|north|frame|46|paid
1662|birch|north|frame|49|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, 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":1093}}, {"tool":"cancel_order","args":{"order_id":1099}}, {"tool":"cancel_order","args":{"order_id":1127}}, {"tool":"restock","args":{"item":"rotor","qty":90}}, {"tool":"restock","args":{"item":"rotor","qty":79}} ]
correctagentic.tools.deploy-v1conf 99% · 425ms · $0.002 · 80 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: billing
- billing: gateway
- gateway: (none)
- reports: gateway, notifier

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"gateway"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"health_check","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"notifier"}}, {"tool":"deploy","args":{"service":"reports"}} ]
wrongagentic.tools.triage-v1conf 99% · 577ms · $0.006 · 314 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → rivera
- payments → haddad
- data → chen

INCIDENTS:
1. "API latency spikes" (category: infra, priority 4)
2. "API latency spikes" (category: infra, priority 4)
3. "export file corrupted" (category: data, priority 6)
4. "API latency spikes" (category: infra, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 2 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-1" } } ]
correctagentic.tools.ledger-v1conf 99% · 323ms · $0.003 · 102 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: $650
- delta: $161
- tango: $815

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $294 from "tango" to "delta"
2. pay $190 from "tango" to "kilo"
3. pay $342 from "delta" to "kilo"
4. pay $114 from "kilo" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"tango","to":"delta","amount":294}}, {"tool":"transfer","args":{"from":"tango","to":"kilo","amount":190}}, {"tool":"transfer","args":{"from":"delta","to":"kilo","amount":342}}, {"tool":"transfer","args":{"from":"kilo","to":"delta","amount":114}} ]
wrongagentic.tools.context-load-v1anchorconf 98% · 384ms · $0.009 · 115 tok
model answer: [ {"tool":"restock","args":{"item":"frame","qty":58}}, {"tool":"cancel_order","args":{"order_id":1682}}, {"tool":"restock","args":{"item":"gasket","qty":60}}, {"tool":"restock","args":{"item":"rotor","qty":75}}, {"tool":"cancel_order","args":{"order_id":1368}}, {"tool":"cancel_order","args":{"order_id":1384}} ]
correctagentic.tools.triage-v1anchorconf 99% · 383ms · $0.006 · 345 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" } } ]
correctagentic.tools.deploy-v1anchorconf 99% · 524ms · $0.002 · 82 tok
model answer: [ {"tool":"deploy","args":{"service":"notifier"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"gateway"}}, {"tool":"health_check","args":{"service":"gateway"}}, {"tool":"deploy","args":{"service":"reports"}} ]
wrongagentic.tools.ledger-v1anchorconf 99% · 347ms · $0.004 · 163 tok
model answer: [ {"tool":"top_up_from_reserve","args":{"account":"delta","amount":134}}, {"tool":"transfer","args":{"from":"delta","to":"bravo","amount":451}}, {"tool":"transfer","args":{"from":"bravo","to":"delta","amount":292}}, {"tool":"transfer","args":{"from":"delta","to":"tango","amount":97}}, {"tool":"top_up_from_reserve","args":{"account":"delta","amount":479}}, {"tool":"transfer","args":{"from":"delta","to":"bravo","amount":540}}, {"tool":"transfer","args":{"from":"tango","to":"bravo","amount":125}} ]
code 30/30 correct
correctcode.trace.js-v1conf 100% · 303ms · $0.003 · 151 tok
question
What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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: 440
correctcode.trace.nested-v1conf 99% · 387ms · $0.010 · 656 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 == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 122
correctcode.trace.python-v1conf 100% · 444ms · $0.005 · 344 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 107:
    if v % 4 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
correctcode.trace.nested-v1conf 99% · 359ms · $0.009 · 560 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 152
correctcode.trace.js-v1conf 100% · 318ms · $0.002 · 97 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 396
correctcode.trace.python-v1conf 99% · 376ms · $0.005 · 319 tok
question
What does this Python program print?

```python
total = 0
v = 15
while total + v <= 107:
    if v % 3 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.nested-v1conf 99% · 356ms · $0.010 · 645 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 157
correctcode.trace.js-v1conf 100% · 319ms · $0.002 · 127 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 400
correctcode.trace.python-v1conf 99% · 508ms · $0.005 · 324 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 1
while total + v <= 66:
    if v % 3 != 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: 60
correctcode.trace.nested-v1conf 99% · 322ms · $0.013 · 864 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) % 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: 230
correctcode.trace.js-v1conf 100% · 345ms · $0.002 · 107 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14];
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: 360
correctcode.trace.python-v1conf 99% · 1.8s · $0.003 · 195 tok
question
What does this Python program print?

```python
total = 0
v = 5
while total + v <= 58:
    if v % 3 != 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: 55
correctcode.trace.nested-v1conf 100% · 917ms · $0.007 · 426 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 495
correctcode.trace.js-v1conf 100% · 271ms · $0.002 · 104 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108
correctcode.trace.python-v1conf 100% · 360ms · $0.004 · 268 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 11
while total + v <= 69:
    if v % 6 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 57
correctcode.trace.nested-v1conf 99% · 500ms · $0.013 · 811 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, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 114
correctcode.trace.js-v1conf 100% · 398ms · $0.003 · 176 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 432
correctcode.trace.js-v1conf 100% · 1.7s · $0.002 · 139 tok
question
What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6];
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: 84
correctcode.trace.python-v1conf 99% · 305ms · $0.003 · 198 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 55:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
correctcode.trace.nested-v1conf 99% · 296ms · $0.010 · 653 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 213
correctcode.trace.nested-v1conf 99% · 382ms · $0.012 · 746 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 * 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: 175
correctcode.trace.python-v1conf 99% · 353ms · $0.004 · 217 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 58:
    if v % 7 != 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: 37
correctcode.trace.js-v1conf 100% · 364ms · $0.002 · 130 tok
question
What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8];
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: 20
correctcode.trace.nested-v1conf 99% · 306ms · $0.011 · 708 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 4 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: 145
correctcode.trace.python-v1conf 99% · 304ms · $0.004 · 258 tok
question
What does this Python program print?

```python
total = 0
v = 1
while total + v <= 32:
    if v % 5 != 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: 23
correctcode.trace.js-v1conf 100% · 304ms · $0.002 · 128 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10
correctcode.trace.python-v1anchorconf 100% · 299ms · $0.003 · 180 tok
model answer: 0
correctcode.trace.nested-v1anchorconf 99% · 337ms · $0.011 · 730 tok
model answer: 283
correctcode.trace.js-v1anchorconf 100% · 287ms · $0.001 · 68 tok
model answer: 63
correctcode.trace.python-v1anchorconf 99% · 378ms · $0.003 · 189 tok
model answer: 40
instruction following 20/30 correct
wrongif.constraints.stack-v1conf 98% · 326ms · $0.001 · 58 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "falcon" and the last word must be "echo".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon sails afar through endless dunes, nova guiding weary feet; nova stars shimmer, nova dreams return, echo
correctif.format.repeat-v1conf 100% · 774ms · $0.001 · 31 tok
question
Write the word "falcon" in uppercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FALCON/FALCON/FALCON/FALCON/FALCON/FALCON
correctif.format.acronym-v1conf 100% · 382ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: basalt, drift, lumen, 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: BDLE
correctif.constraints.stack-v1conf 96% · 374ms · $0.001 · 44 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "nova" and the last word must be "orbit".
3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova sailors roamed for months under cold stars, hearing echo in canyons, echo in storms, echo in memory, until dawn carried them toward orbit
wrongif.format.acronym-v1conf 99% · 436ms · $0.001 · 17 tok
question
Take the second letter of each of these words, in order: lumen, falcon, prism, quartz, zephyr, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: UAREEB
correctif.format.repeat-v1conf 100% · 597ms · $0.000 · 18 tok
question
Write the word "ember" in lowercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember/ember/ember
wrongif.constraints.stack-v1conf 98% · 280ms · $0.001 · 66 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "delta" and the last word must be "falcon".
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: delta ancient engine rattled softly; comet gears turned, comet steam drifted past iron wheels beneath moonlit rafters, falcon
correctif.format.acronym-v1conf 100% · 1.5s · $0.001 · 17 tok
question
Take the first letter of each of these words, in order: echo, comet, zephyr, ember, lumen, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ECZELF
wrongif.constraints.stack-v1conf 98% · 307ms · $0.001 · 39 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "falcon" and the last word must be "zephyr".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon over sea nova sings, nova tides shimmer under moonlight, gulls drift calmly, nova waves cradle stars softly zephyr
correctif.format.repeat-v1conf 100% · 317ms · $0.001 · 26 tok
question
Write the word "ember" in capitalized form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ember/Ember/Ember/Ember/Ember
correctif.format.repeat-v1conf 100% · 470ms · $0.001 · 21 tok
question
Write the word "falcon" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon_falcon_falcon_falcon
correctif.format.acronym-v1conf 100% · 360ms · $0.000 · 16 tok
question
Take the first letter of each of these words, in order: ember, flint, zephyr, nova, orbit, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EFZNOP
wrongif.constraints.stack-v1conf 96% · 1.0s · $0.001 · 44 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "cedar" and the last word must be "tundra".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar pilgrims endured miles; flint stars guided flint hearts beyond deserts, over ridges, through storm and silence, until flint dawn welcomed tundra
correctif.format.acronym-v1conf 100% · 329ms · $0.001 · 53 tok
question
Take the third letter of each of these words, in order: falcon, nova, zephyr, tundra, 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: LVPNI
correctif.format.repeat-v1conf 100% · 358ms · $0.001 · 24 tok
question
Write the word "nova" 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: nova_nova_nova_nova_nova_nova
wrongif.constraints.stack-v1conf 98% · 538ms · $0.002 · 82 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "zephyr" and the last word must be "quartz".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr through silent avenues, neon halos shimmer over rain-slick roofs; tundra winds haunt alleys, while distant sirens echo across tundra-lit towers beneath quartz
wrongif.format.acronym-v1conf 99% · 477ms · $0.000 · 16 tok
question
Take the third letter of each of these words, in order: drift, basalt, cedar, flint, 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: IAENH
wrongif.constraints.stack-v1conf 98% · 565ms · $0.001 · 38 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "comet" and the last word must be "flint".
3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet travelers crossed endless dunes, chasing dawn; echo after echo carried weary hearts onward through storms until campfire sparks welcomed flint
correctif.format.repeat-v1conf 100% · 355ms · $0.000 · 18 tok
question
Write the word "echo" in capitalized 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: Echo_Echo_Echo
correctif.format.acronym-v1conf 99% · 342ms · $0.000 · 16 tok
question
Take the second letter of each of these words, in order: lumen, comet, prism, quartz, drift, 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: UORURL
correctif.constraints.stack-v1conf 98% · 608ms · $0.001 · 46 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "falcon" and the last word must be "lumen".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon over sea, tides murmur; quartz stars shimmer, salt air carries quartz dreams across waves, under moonlit clouds, toward silent shores, bearing calm lumen
correctif.format.repeat-v1conf 100% · 311ms · $0.001 · 37 tok
question
Write the word "lumen" 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: LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN
correctif.format.acronym-v1conf 100% · 893ms · $0.001 · 40 tok
question
Take the third letter of each of these words, in order: nova, basalt, tundra, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: VSNL
correctif.constraints.stack-v1conf 97% · 333ms · $0.001 · 63 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "lumen" and the last word must be "flint".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lumen frost paints still dawn; prism air, prism panes, soft breath, mild smoke, waking birds, prism flint
correctif.format.repeat-v1conf 100% · 370ms · $0.001 · 27 tok
question
Write the word "prism" in uppercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PRISM/PRISM/PRISM/PRISM/PRISM
correctif.format.repeat-v1anchorconf 100% · 357ms · $0.001 · 37 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
wrongif.format.acronym-v1conf 99% · 309ms · $0.001 · 17 tok
question
Take the second letter of each of these words, in order: prism, orbit, cedar, falcon, flint, 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: REEALC
wrongif.constraints.stack-v1anchorconf 98% · 455ms · $0.001 · 43 tok
model answer: drift under neon rain, silent trains hum past glass towers; lumen spills on rivers, lumen halos windows, lumen warms midnight streets as sirens fade orbit
correctif.format.repeat-v1anchorconf 100% · 304ms · $0.001 · 28 tok
model answer: Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echo
correctif.format.acronym-v1anchorconf 100% · 376ms · $0.000 · 16 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 99% · 523ms · $0.000 · 17 tok
question
Identify the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 99% · 2.4s · $0.000 · 18 tok
question
Name the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 99% · 369ms · $0.000 · 17 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 99% · 419ms · $0.000 · 15 tok
question
What is 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: Astana
correctknowledge.fr.factbank-v2conf 100% · 310ms · $0.000 · 15 tok
question
What is the element whose symbol is W?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 374ms · $0.000 · 14 tok
question
What is 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% · 339ms · $0.000 · 14 tok
question
Name the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 379ms · $0.000 · 14 tok
question
Identify the Brazilian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 99% · 356ms · $0.000 · 18 tok
question
Name the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 99% · 321ms · $0.000 · 17 tok
question
Name the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 327ms · $0.000 · 14 tok
question
What is the Canadian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 414ms · $0.000 · 15 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% · 392ms · $0.000 · 14 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% · 437ms · $0.000 · 14 tok
question
Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 330ms · $0.000 · 15 tok
question
Identify the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 486ms · $0.001 · 23 tok
question
What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 353ms · $0.000 · 14 tok
question
Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 260ms · $0.000 · 17 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% · 414ms · $0.000 · 17 tok
question
Name the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 561ms · $0.001 · 24 tok
question
Name the writer of the novel "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 343ms · $0.000 · 14 tok
question
Name the capital of Brazil.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.000 · 14 tok
question
What is the Australian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 2.3s · $0.000 · 14 tok
question
Identify 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% · 571ms · $0.000 · 15 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% · 466ms · $0.001 · 23 tok
question
Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 376ms · $0.000 · 14 tok
question
Identify the Brazilian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2anchorconf 100% · 347ms · $0.000 · 15 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 572ms · $0.000 · 14 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 577ms · $0.000 · 15 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 360ms · $0.000 · 14 tok
model answer: Lead
math 25/30 correct
wrongmath.chained.pipeline-v1conf 99% · 5.8s · $0.001 · 16 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 66 × 67.
Step 2: Q = P × 7 − 342.
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: 5896
wrongmath.counterfactual.base-v1conf 99% · 363ms · $0.002 · 118 tok
question
Work strictly in base 11. Multiply the base-11 numbers 77 and 12. 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: A13
correctmath.chained.pipeline-v1conf 100% · 291ms · $0.002 · 87 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 19 × 79.
Step 2: Q = P × 3 − 554.
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: 659
wrongmath.percent.chain-v2conf 99% · 488ms · $0.002 · 127 tok
question
An inventory starts at 44000 units. The company was founded 120 kilometers from the port. In the first month the inventory grows by 43%. The company was founded 30 kilometers from the port. The next month it shrinks by 17%, and the month after it grows by 11%. 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: 57896.12
correctmath.algebra.system-v2conf 99% · 347ms · $0.002 · 150 tok
question
Solve the system, then answer the derived question.

6x + 3y = 162
4x − 8y = -52

What is the value of 3x − 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: -23
correctmath.arith.chain-v2conf 100% · 384ms · $0.001 · 83 tok
question
Compute the value of the following expression.

(((34 × 28 − 523) × 4 + 4418) − 99 × 61) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 570
correctmath.algebra.system-v2conf 99% · 455ms · $0.003 · 158 tok
question
Solve the system, then answer the derived question.

4x + 4y = 212
2x − 9y = -268

What is the value of 5x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -75
wrongmath.counterfactual.base-v1conf 99% · 333ms · $0.002 · 92 tok
question
Work strictly in base 13. Multiply the base-13 numbers 5C and 14. 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: 768
correctmath.percent.chain-v2conf 99% · 264ms · $0.002 · 83 tok
question
An inventory starts at 59000 units. A rival firm shipped 147 unrelated parcels the same week. In the first month the inventory grows by 5%. Each pallet weighs about 4 grams more when wet. The next month it shrinks by 20%, and the month after it grows by 23%. 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: 60958.8
correctmath.arith.chain-v2conf 100% · 378ms · $0.002 · 86 tok
question
Evaluate the expression below and give the result.

(((57 × 75 − 679) × 3 + 7959) − 74 × 23) × 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: 85225
correctmath.counterfactual.base-v1conf 99% · 400ms · $0.004 · 276 tok
question
Work strictly in base 7. Multiply the base-7 numbers 115 and 36. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4542
correctmath.chained.pipeline-v1conf 100% · 297ms · $0.002 · 94 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 82 × 17.
Step 2: Q = P × 8 − 711.
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: 1306
correctmath.percent.chain-v2conf 100% · 403ms · $0.002 · 87 tok
question
An inventory starts at 83000 units. A rival firm shipped 141 unrelated parcels the same week. In the first month the inventory grows by 43%. The delivery van has a 74-liter fuel tank. The next month it shrinks by 41%, 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: 87533.875
correctmath.algebra.system-v2conf 99% · 331ms · $0.003 · 155 tok
question
Solve the system, then answer the derived question.

2x + 3y = 100
9x − 4y = 30

What is the value of 2x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -116
correctmath.counterfactual.base-v1conf 99% · 2.9s · $0.001 · 84 tok
question
Work strictly in base 13. Multiply the base-13 numbers 11 and 40. 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: 440
correctmath.arith.chain-v2conf 100% · 321ms · $0.002 · 91 tok
question
Work out the exact value of this expression.

(((93 × 23 − 764) × 6 + 9543) − 34 × 82) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90030
correctmath.chained.pipeline-v1conf 100% · 368ms · $0.002 · 87 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 62 × 87.
Step 2: Q = P × 6 − 276.
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: 4584
correctmath.percent.chain-v2conf 99% · 407ms · $0.002 · 114 tok
question
An inventory starts at 62000 units. The warehouse was painted 44 years ago. In the first month the inventory grows by 18%. Each pallet weighs about 142 grams more when wet. The next month it shrinks by 33%, 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: 55879.608
correctmath.algebra.system-v2conf 99% · 384ms · $0.003 · 169 tok
question
Solve the system, then answer the derived question.

8x + 3y = -312
3x − 7y = 143

What is the value of 5x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -71
correctmath.arith.chain-v2conf 100% · 434ms · $0.002 · 89 tok
question
Calculate the following. Show your reasoning, then answer.

(((38 × 38 − 938) × 5 + 5685) − 61 × 80) × 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: 16675
correctmath.chained.pipeline-v1conf 100% · 452ms · $0.002 · 98 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 36 × 54.
Step 2: Q = P × 4 − 168.
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: 1092
wrongmath.counterfactual.base-v1conf 98% · 409ms · $0.002 · 125 tok
question
Work strictly in base 13. Multiply the base-13 numbers 39 and 28. 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: A17
correctmath.percent.chain-v2conf 99% · 999ms · $0.002 · 90 tok
question
An inventory starts at 10000 units. The warehouse was painted 32 years ago. In the first month the inventory grows by 29%. The delivery van has a 44-liter fuel tank. The next month it shrinks by 31%, 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: 11126.25
correctmath.algebra.system-v2conf 99% · 361ms · $0.002 · 149 tok
question
Solve the system, then answer the derived question.

7x + 2y = 23
4x − 8y = 196

What is the value of 4x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 76
correctmath.arith.chain-v2conf 100% · 426ms · $0.001 · 84 tok
question
Calculate the following. Show your reasoning, then answer.

(((23 × 73 − 111) × 7 + 8017) − 33 × 20) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 109998
correctmath.chained.pipeline-v1conf 99% · 719ms · $0.001 · 75 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 41 × 68.
Step 2: Q = P × 6 − 282.
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: 2741
correctmath.counterfactual.base-v1anchorconf 99% · 327ms · $0.002 · 120 tok
model answer: 11236
correctmath.percent.chain-v2anchorconf 99% · 324ms · $0.002 · 122 tok
model answer: 61896.52
correctmath.algebra.system-v2anchorconf 99% · 458ms · $0.002 · 123 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 100% · 419ms · $0.001 · 84 tok
model answer: 108153
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 356ms · $0.001 · 19 tok
question
A number is written in French: « huit cents ». Another is written in Spanish: « ochocientos 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: 1666
correctmultilingual.wordnum-v1conf 99% · 489ms · $0.000 · 16 tok
question
A number is written in French: « cent dix-neuf ». Another is written in Spanish: « ochocientos noventa ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1009
correctmultilingual.numword-v2conf 100% · 311ms · $0.001 · 20 tok
question
Compute 257 + 407, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos sesenta y cuatro
correctmultilingual.wordnum-v1conf 99% · 936ms · $0.001 · 23 tok
question
A number is written in French: « cinq cent soixante-sept ». Another is written in Spanish: « novecientos noventa y cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -427
correctmultilingual.numword-v2conf 99% · 404ms · $0.001 · 25 tok
question
Compute 390 + 449, 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: huit cent trente-neuf
correctmultilingual.numword-v2conf 99% · 342ms · $0.001 · 26 tok
question
Compute 132 + 419, 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 uno
correctmultilingual.numword-v2conf 99% · 1.7s · $0.001 · 25 tok
question
Compute 271 + 158, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent vingt-neuf
correctmultilingual.wordnum-v1conf 99% · 317ms · $0.000 · 15 tok
question
A number is written in French: « six cent vingt-quatre ». Another is written in Spanish: « setecientos doce ». 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: -88
correctmultilingual.wordnum-v1conf 99% · 372ms · $0.000 · 15 tok
question
A number is written in French: « cinq cent soixante-dix-neuf ». Another is written in Spanish: « trescientos ochenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 190
correctmultilingual.numword-v2conf 99% · 336ms · $0.000 · 18 tok
question
Compute 105 + 413, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent dix-huit
correctmultilingual.wordnum-v1conf 100% · 321ms · $0.001 · 52 tok
question
A number is written in French: « deux cent quatre-vingt-huit ». Another is written in Spanish: « novecientos noventa y cuatro ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1282
correctmultilingual.numword-v2conf 99% · 498ms · $0.001 · 26 tok
question
Compute 487 + 348, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos treinta y cinco
correctmultilingual.wordnum-v1conf 100% · 256ms · $0.000 · 15 tok
question
A number is written in French: « neuf cent douze ». Another is written in Spanish: « cuarenta 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: 871
correctmultilingual.numword-v2conf 99% · 331ms · $0.001 · 28 tok
question
Compute 437 + 409, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos cuarenta y seis
correctmultilingual.numword-v2conf 99% · 2.8s · $0.001 · 28 tok
question
Compute 167 + 189, 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 99% · 362ms · $0.000 · 16 tok
question
A number is written in French: « deux cent vingt-deux ». Another is written in Spanish: « novecientos cuarenta 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: 1163
correctmultilingual.numword-v2conf 99% · 372ms · $0.001 · 28 tok
question
Compute 446 + 216, 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 cent soixante-deux
correctmultilingual.wordnum-v1conf 99% · 270ms · $0.000 · 15 tok
question
A number is written in French: « six cent soixante-sept ». Another is written in Spanish: « ciento cuarenta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 523
correctmultilingual.wordnum-v1conf 99% · 343ms · $0.000 · 15 tok
question
A number is written in French: « sept cent trente et un ». Another is written in Spanish: « ciento veintitrés ». 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: 854
correctmultilingual.numword-v2conf 99% · 302ms · $0.001 · 31 tok
question
Compute 171 + 120, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent quatre-vingt-onze
correctmultilingual.numword-v2conf 99% · 671ms · $0.001 · 21 tok
question
Compute 207 + 198, 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 cinq
correctmultilingual.wordnum-v1conf 100% · 518ms · $0.000 · 16 tok
question
A number is written in French: « neuf cent quatorze ». Another is written in Spanish: « trescientos sesenta ». 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: 1274
correctmultilingual.numword-v2conf 99% · 367ms · $0.001 · 31 tok
question
Compute 352 + 144, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent quatre-vingt-seize
correctmultilingual.numword-v2conf 99% · 981ms · $0.001 · 29 tok
question
Compute 427 + 135, 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 soixante-deux
correctmultilingual.wordnum-v1conf 99% · 503ms · $0.000 · 16 tok
question
A number is written in French: « sept cent vingt-deux ». Another is written in Spanish: « trescientos sesenta 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: 1084
correctmultilingual.wordnum-v1conf 99% · 473ms · $0.000 · 15 tok
question
A number is written in French: « cent soixante-dix ». 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: 736
correctmultilingual.wordnum-v1anchorconf 99% · 346ms · $0.000 · 15 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 99% · 384ms · $0.001 · 33 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.numword-v2anchorconf 100% · 337ms · $0.001 · 22 tok
model answer: seiscientos ocho
correctmultilingual.wordnum-v1anchorconf 100% · 384ms · $0.000 · 15 tok
model answer: 762
reasoning 19/30 correct
correctreasoning.deduction.position-v1conf 100% · 362ms · $0.001 · 17 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Dara. Ola is directly ahead of Kira. Mona is number 1 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.position-v1conf 100% · 443ms · $0.001 · 17 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Hana. Emil is directly ahead of Alice. Hana is directly ahead of Tessa. Tessa is number 4 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.order-v2conf 93% · 457ms · $0.001 · 23 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Goran. Sami is older than everyone here, but Sami is not being ranked. Goran is faster than Rosa. Farah is faster than Alice. Farah is faster than Hana. Bruno is faster than Dara. Hana is faster than Goran. Dara is faster than Farah. Rosa is faster than Alice. Goran is faster than Alice. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.order-v2conf 98% · 427ms · $0.001 · 23 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Quinn. Alice is faster than Nadir. Nadir is faster than Sami. Quinn is faster than Bruno. Chen is older than everyone here, but Chen is not being ranked. Quinn is faster than Priya. Hana is faster than Sami. Sami is faster than Priya. Hana is faster than Priya. Bruno is faster than Hana. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.position-v1conf 100% · 460ms · $0.001 · 75 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Kira. Emil is number 1 in the queue. Goran 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: Kira
correctreasoning.deduction.order-v2conf 98% · 322ms · $0.001 · 24 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Ines. Ola is taller than Kira. Farah is taller than Priya. Ines is taller than Ola. Ines is taller than Farah. Emil is taller than Kira. Alice is older than everyone here, but Alice is not being ranked. Ines is taller than Kira. Bruno is taller than Emil. Priya is taller than Ola. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.order-v2conf 98% · 1.2s · $0.001 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Sami. Jonas is heavier than Bruno. Emil is heavier than Priya. Liam is heavier than Jonas. Bruno is heavier than Emil. Emil is heavier than Quinn. Emil is heavier than Sami. Tessa is faster than everyone here, but Tessa is not being ranked. Priya is heavier than Quinn. Sami is heavier than Quinn. 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: Bruno
wrongreasoning.deduction.position-v1conf 100% · 348ms · $0.001 · 17 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Sami. Sami is number 3 in the queue. Kira is directly ahead of Quinn. 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: Quinn
correctreasoning.deduction.order-v2conf 99% · 1.5s · $0.002 · 85 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Goran. Goran is older than Quinn. Quinn is older than Emil. Emil is older than Jonas. Emil is older than Liam. Jonas is older than Liam. Alice is older than Emil. Tessa is older than Alice. Alice is older than Quinn. Hana is taller than everyone here, but Hana is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
wrongreasoning.deduction.position-v1conf 100% · 371ms · $0.001 · 17 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Bruno. Dara is number 3 in the queue. Bruno 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: Bruno
correctreasoning.deduction.position-v1conf 100% · 345ms · $0.001 · 53 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Rosa. Rosa is number 3 in the queue. Bruno is directly ahead of Ines. 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: Bruno
correctreasoning.deduction.position-v1conf 100% · 2.7s · $0.001 · 70 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Chen. Goran is directly ahead of Rosa. Rosa 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: Chen
correctreasoning.deduction.order-v2conf 98% · 372ms · $0.002 · 104 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Tessa. Ines is heavier than Farah. Liam is heavier than Ines. Tessa is heavier than Liam. Sami is heavier than Ines. Hana is older than everyone here, but Hana is not being ranked. Ola is heavier than Nadir. Farah is heavier than Nadir. Liam is heavier than Sami. Tessa is heavier than Farah. 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: Farah
correctreasoning.deduction.position-v1conf 100% · 345ms · $0.001 · 18 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Tessa. Alice is directly ahead of Emil. Tessa is directly ahead of Alice. Emil is number 4 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
wrongreasoning.deduction.order-v2conf 98% · 395ms · $0.001 · 17 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Chen. Alice is heavier than Farah. Alice is heavier than Farah. Chen is heavier than Sami. Goran is heavier than Farah. Quinn is heavier than Goran. Rosa is heavier than Alice. Alice is heavier than Goran. Bruno is faster than everyone here, but Bruno is not being ranked. Quinn is heavier than Rosa. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.order-v2conf 99% · 288ms · $0.002 · 88 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Ola. Alice is taller than Ola. Alice is taller than Chen. Jonas is taller than Alice. Dara is taller than Ola. Dara is taller than Tessa. Chen is taller than Nadir. Tessa is taller than Jonas. Nadir is taller than Ola. Ines is faster than everyone here, but Ines is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.position-v1conf 100% · 320ms · $0.001 · 18 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Nadir. Nadir is directly ahead of Chen. Ines is directly ahead of Dara. Chen is number 4 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
wrongreasoning.deduction.order-v2conf 100% · 294ms · $0.001 · 20 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Alice. Kira is faster than Hana. Chen is taller than everyone here, but Chen is not being ranked. Dara is faster than Bruno. Bruno is faster than Hana. Alice is faster than Hana. Bruno is faster than Kira. Ines is faster than Hana. Hana is faster than Farah. Kira is faster than Ines. 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: Bruno
correctreasoning.deduction.position-v1conf 100% · 348ms · $0.001 · 60 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 3 in the queue. Hana is directly ahead of Tessa. Ola is directly ahead of Hana. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 99% · 429ms · $0.002 · 109 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Jonas is taller than everyone here, but Jonas is not being ranked. Emil is faster than Chen. Farah is faster than Alice. Quinn is faster than Alice. Sami is faster than Farah. Mona is faster than Emil. Sami is faster than Alice. Chen is faster than Quinn. Quinn is faster than Sami. Quinn is faster than Farah. 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: Chen
wrongreasoning.deduction.position-v1conf 100% · 412ms · $0.001 · 17 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Quinn. Priya is directly ahead of Hana. Hana is number 4 in the queue. Quinn 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: Quinn
wrongreasoning.deduction.order-v2conf 72% · 399ms · $0.001 · 20 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Ines. Ines is heavier than Nadir. Hana is heavier than Liam. Tessa is heavier than Nadir. Ola is heavier than Farah. Farah is heavier than Tessa. Hana is heavier than Nadir. Ines is heavier than Ola. Farah is heavier than Nadir. Priya is older than everyone here, but Priya is not being ranked. 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: Liam
wrongreasoning.deduction.position-v1conf 63% · 347ms · $0.001 · 57 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Priya. Priya is directly ahead of Dara. Dara 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: The remaining person
wrongreasoning.deduction.order-v2conf 57% · 355ms · $0.001 · 20 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Priya. Priya is older than Rosa. Rosa is older than Goran. Rosa is older than Ola. Chen is older than Ines. Alice is older than Rosa. Goran is older than Chen. Rosa is older than Goran. Mona is heavier than everyone here, but Mona is not being ranked. Ola is older than Goran. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1conf 100% · 336ms · $0.001 · 50 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Goran. Goran is number 3 in the queue. Hana is directly ahead of Priya. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
wrongreasoning.deduction.position-v1anchorconf 100% · 474ms · $0.001 · 17 tok
model answer: Jonas
correctreasoning.deduction.position-v1anchorconf 99% · 389ms · $0.001 · 78 tok
model answer: Quinn
correctreasoning.deduction.order-v2conf 99% · 343ms · $0.001 · 60 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is heavier than Ines. Farah is heavier than Kira. Priya is heavier than Kira. Ines is heavier than Kira. Farah is heavier than Ines. Farah is heavier than Hana. Hana is heavier than Alice. Priya is heavier than Farah. Jonas is taller than everyone here, but Jonas is not being ranked. Emil is heavier than Priya. 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.order-v2anchorconf 99% · 605ms · $0.002 · 81 tok
model answer: Quinn
wrongreasoning.deduction.order-v2anchorconf 99% · 502ms · $0.001 · 23 tok
model answer: Quinn
terminal 26/30 correct
correctterminal.exit.chain-v1conf 99% · 330ms · $0.001 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
false && echo A || echo B
true && echo C || echo D
grep -q coral 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 E Z exit:0
wrongterminal.fs.tree-v1conf 99% · 383ms · $0.001 · 30 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/conf`):

```
/proj/assets/draft.cfg
/proj/conf/todo.log
/proj/docs/index.log
/proj/notes.txt
/proj/report.log
```

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

```sh
rm notes.txt
cd docs
rm index.log
cd ../../proj/conf
mv ../../proj/assets/draft.cfg ../../proj/assets/
touch ../../proj/todo-9.log
mv todo.log ./
rm ../../proj/report.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/draft.cfg /proj/todo-9.log
correctterminal.pipeline.predict-v1conf 100% · 346ms · $0.001 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,hr,57,37
fay,legal,39,58
hal,sales,60,18
kim,sales,70,68
pam,legal,12,12
lou,hr,46,62
gus,legal,71,62
bo,legal,91,34
max,hr,70,22
cy,legal,74,27
jon,sales,113,40
ivy,ops,47,64
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ivy,ops,47,64
correctterminal.exit.chain-v1conf 99% · 325ms · $0.001 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E Z exit:0
wrongterminal.fs.tree-v1conf 99% · 375ms · $0.002 · 62 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/src`):

```
/proj/assets/todo.md
/proj/docs/notes.log
/proj/docs/setup.txt
/proj/report.md
/proj/util.txt
```

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

```sh
mv util.txt report-7.txt
touch draft-2.txt
cd assets
touch ../../proj/docs/util-2.cfg
cd ../../proj/src
mkdir -p assets-2
rm ../../proj/report-7.txt
touch assets-2/setup-4.md
cd ../../proj/docs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/todo.md /proj/docs/notes.log /proj/docs/setup.txt /proj/docs/util-2.cfg /proj/draft-2.txt /proj/src/assets-2/setup-4.md
correctterminal.pipeline.predict-v1conf 100% · 531ms · $0.001 · 30 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,eng,45,77
ned,hr,47,24
cy,eng,75,31
jon,legal,57,35
eli,ops,94,39
lou,eng,55,25
fay,hr,65,29
pam,sales,55,35
dev,ops,99,14
max,legal,110,72
hal,eng,16,88
ivy,sales,64,72
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: jon,legal,57,35 max,legal,110,72
correctterminal.exit.chain-v1conf 99% · 254ms · $0.001 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E Z exit:0
correctterminal.fs.tree-v1conf 98% · 501ms · $0.001 · 48 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/build`):

```
/proj/build/index.cfg
/proj/build/setup.md
/proj/build/util.cfg
/proj/notes.log
/proj/todo.log
```

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

```sh
cp todo.log build/
rm build/todo.log
cd build
rm util.cfg
cd ../../proj/logs
touch ../../proj/docs/setup-9.cfg
cd ../../proj/docs
mkdir -p ../../proj/logs/assets-3
mv setup-9.cfg notes-8.log
mv ../../proj/todo.log ../../proj/main-5.md
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/index.cfg /proj/build/setup.md /proj/docs/notes-8.log /proj/main-5.md /proj/notes.log
correctterminal.pipeline.predict-v1conf 100% · 307ms · $0.001 · 22 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,eng,75,57
kim,eng,94,15
fay,eng,53,31
pam,ops,112,43
bo,sales,100,45
dev,sales,95,36
eli,legal,120,43
max,hr,27,48
ivy,hr,104,22
ned,legal,91,72
```

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: ivy,104 max,27
correctterminal.exit.chain-v1conf 99% · 327ms · $0.001 · 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: amber, basil (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F G exit:1
correctterminal.fs.tree-v1conf 99% · 522ms · $0.001 · 41 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/src`, `/proj/docs`):

```
/proj/docs/index.md
/proj/logs/todo.txt
/proj/setup.log
/proj/src/main.log
/proj/util.txt
```

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

```sh
touch logs/main-4.md
touch src/main-2.log
cd docs
mkdir -p ../../proj/logs/logs-7
rm index.md
rm ../../proj/src/main-2.log
rm ../../proj/src/main.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/logs/main-4.md /proj/logs/todo.txt /proj/setup.log /proj/util.txt
correctterminal.exit.chain-v1conf 99% · 287ms · $0.001 · 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, amber (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E exit:1
correctterminal.pipeline.predict-v1conf 100% · 483ms · $0.001 · 31 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,sales,114,78
eli,hr,37,17
fay,ops,41,85
ana,hr,106,56
ivy,eng,46,71
gus,legal,106,27
lou,ops,36,25
bo,eng,117,67
dev,sales,4,85
jon,legal,64,93
ned,legal,5,47
cy,sales,27,19
kim,legal,41,29
oli,hr,82,77
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ivy,eng,46,71 bo,eng,117,67
correctterminal.fs.tree-v1conf 99% · 791ms · $0.001 · 47 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/docs`, `/proj/build`):

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

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

```sh
cd conf
mv ../../proj/docs/report.txt ../../proj/docs/report-9.txt
cd .
rm ../../proj/main.log
mkdir -p ../../proj/build/logs-5
rm ../../proj/build/index.md
cp ../../proj/util.log ../../proj/docs/
cp ../../proj/docs/draft.cfg ../../proj/build/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft.cfg /proj/docs/draft.cfg /proj/docs/report-9.txt /proj/docs/util.log /proj/util.log
correctterminal.pipeline.predict-v1conf 100% · 307ms · $0.001 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,legal,43,44
max,ops,44,92
cy,hr,6,93
oli,hr,74,43
lou,ops,106,41
jon,eng,91,96
hal,hr,117,88
fay,ops,25,58
ana,legal,92,14
```

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: ana,92 dev,43
correctterminal.exit.chain-v1conf 99% · 323ms · $0.001 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q dune notes.txt && echo A || echo B
grep -q basil notes.txt && echo C || echo D
false && 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: A D F G exit:1
correctterminal.fs.tree-v1conf 99% · 334ms · $0.002 · 90 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/conf`, `/proj/docs`):

```
/proj/conf/main.cfg
/proj/conf/setup.log
/proj/conf/util.log
/proj/draft.txt
/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 docs/assets-3
touch logs/notes-7.md
cd logs
touch ../../proj/conf/index-5.cfg
touch ../../proj/docs/assets-3/todo-1.md
mkdir -p ../../proj/conf/build-2
mv ../../proj/draft.txt ../../proj/docs/assets-3/
cd ../../proj/conf/build-2
cp ../../../proj/logs/notes-7.md ./
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/build-2/notes-7.md /proj/conf/index-5.cfg /proj/conf/main.cfg /proj/conf/setup.log /proj/conf/util.log /proj/docs/assets-3/draft.txt /proj/docs/assets-3/todo-1.md /proj/logs/notes-7.md /proj/report.log
wrongterminal.pipeline.predict-v1conf 86% · 278ms · $0.001 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,sales,37,48
cy,ops,46,97
gus,eng,65,73
fay,sales,38,11
ned,ops,86,52
oli,hr,107,28
hal,eng,85,57
ivy,hr,53,62
pam,eng,82,73
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 63 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 99% · 359ms · $0.001 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F Z exit:0
correctterminal.fs.tree-v1conf 99% · 344ms · $0.002 · 63 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/docs`):

```
/proj/conf/todo.md
/proj/docs/main.cfg
/proj/docs/report.md
/proj/notes.log
/proj/util.txt
```

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

```sh
touch assets/setup-8.log
mv docs/report.md assets/
touch assets/notes-5.cfg
cp assets/setup-8.log conf/
mkdir -p docs/build-1
rm assets/report.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/notes-5.cfg /proj/assets/setup-8.log /proj/conf/setup-8.log /proj/conf/todo.md /proj/docs/main.cfg /proj/notes.log /proj/util.txt
correctterminal.fs.tree-v1conf 99% · 1.8s · $0.002 · 57 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/logs`):

```
/proj/conf/main.cfg
/proj/logs/report.md
/proj/logs/setup.log
/proj/notes.cfg
/proj/todo.md
```

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

```sh
touch src/draft-8.log
mv logs/setup.log logs/
cd .
mv logs/report.md logs/util-8.md
cd .
mv logs/util-8.md logs/index-9.txt
rm logs/index-9.txt
touch src/todo-1.cfg
cd src
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/main.cfg /proj/logs/setup.log /proj/notes.cfg /proj/src/draft-8.log /proj/src/todo-1.cfg /proj/todo.md
wrongterminal.pipeline.predict-v1conf 100% · 319ms · $0.001 · 21 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,sales,80,64
ana,eng,10,93
pam,eng,58,98
ned,eng,96,53
bo,ops,55,87
kim,sales,43,71
lou,ops,117,99
hal,hr,57,59
max,sales,13,50
ivy,legal,116,56
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 100% · 363ms · $0.001 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F exit:1
correctterminal.pipeline.predict-v1conf 100% · 384ms · $0.001 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,legal,8,56
eli,legal,84,31
max,eng,116,86
hal,sales,81,81
lou,eng,85,94
ana,sales,17,25
kim,sales,23,36
fay,hr,57,68
jon,sales,83,16
bo,sales,56,35
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 260
correctterminal.exit.chain-v1conf 99% · 300ms · $0.001 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E Z exit:0
correctterminal.fs.tree-v1conf 98% · 314ms · $0.001 · 45 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/docs`):

```
/proj/conf/util.md
/proj/docs/main.log
/proj/report.cfg
/proj/setup.md
/proj/src/notes.txt
```

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

```sh
rm src/notes.txt
rm report.cfg
cd src
mkdir -p ../../proj/conf/logs-5
cp ../../proj/conf/util.md ../../proj/docs/
touch ../../proj/conf/logs-5/report-6.log
touch ../../proj/conf/util-7.cfg
cd ../../proj
rm conf/logs-5/report-6.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/util-7.cfg /proj/conf/util.md /proj/docs/main.log /proj/docs/util.md /proj/setup.md
correctterminal.exit.chain-v1anchorconf 99% · 285ms · $0.001 · 27 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 99% · 278ms · $0.001 · 38 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.fs.tree-v1anchorconf 99% · 366ms · $0.002 · 61 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
correctterminal.pipeline.predict-v1anchorconf 100% · 593ms · $0.001 · 17 tok
model answer: 1
vision ocr 28/30 correct
correctvision.ocr.table-read-v1conf 99% · 924ms · $0.002 · 15 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: 23
correctvision.ocr.code-hunt-v1conf 99% · 2.4s · $0.002 · 18 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: VP3M7CW
correctvision.ocr.table-read-v1conf 99% · 413ms · $0.002 · 15 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: 55
correctvision.ocr.table-read-v1conf 98% · 2.7s · $0.002 · 15 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: 93
correctvision.ocr.code-hunt-v1conf 98% · 559ms · $0.002 · 16 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: PTRCFJ
correctvision.ocr.table-read-v1conf 99% · 381ms · $0.002 · 15 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: 124
correctvision.ocr.code-hunt-v1conf 96% · 334ms · $0.002 · 18 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: EYCHNYR4
correctvision.ocr.table-read-v1conf 98% · 412ms · $0.002 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM 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: 82
correctvision.ocr.code-hunt-v1conf 98% · 536ms · $0.002 · 18 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: JRN4WPV
correctvision.ocr.code-hunt-v1conf 98% · 367ms · $0.002 · 17 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: J9AUD3
correctvision.ocr.table-read-v1conf 99% · 515ms · $0.002 · 15 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: 54
correctvision.ocr.code-hunt-v1conf 95% · 385ms · $0.002 · 19 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: C4U4YUN
correctvision.ocr.table-read-v1conf 99% · 428ms · $0.002 · 15 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: 95
correctvision.ocr.code-hunt-v1conf 97% · 3.9s · $0.002 · 18 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: YRPVEX4
wrongvision.ocr.code-hunt-v1conf 97% · 319ms · $0.002 · 20 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: 4YCWUT7H
correctvision.ocr.table-read-v1conf 98% · 289ms · $0.002 · 15 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
wrongvision.ocr.code-hunt-v1conf 78% · 465ms · $0.002 · 20 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: VU3WVVYEV
correctvision.ocr.table-read-v1conf 99% · 754ms · $0.002 · 15 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: 69
correctvision.ocr.table-read-v1conf 99% · 448ms · $0.002 · 15 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: 67
correctvision.ocr.code-hunt-v1conf 93% · 377ms · $0.002 · 18 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: WJMMC9EK
correctvision.ocr.table-read-v1conf 99% · 426ms · $0.002 · 15 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: 54
correctvision.ocr.code-hunt-v1conf 98% · 379ms · $0.002 · 19 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: E3JCRDCV
correctvision.ocr.table-read-v1conf 99% · 414ms · $0.002 · 15 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: 27
correctvision.ocr.code-hunt-v1conf 98% · 617ms · $0.002 · 18 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: TRF3EF3
correctvision.ocr.code-hunt-v1conf 99% · 582ms · $0.002 · 17 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: REEYDW3
correctvision.ocr.table-read-v1conf 99% · 283ms · $0.002 · 15 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: 47
correctvision.ocr.table-read-v1anchorconf 99% · 699ms · $0.002 · 15 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 98% · 479ms · $0.002 · 17 tok
model answer: VX7993D
correctvision.ocr.code-hunt-v1anchorconf 97% · 1.0s · $0.002 · 20 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 99% · 562ms · $0.002 · 15 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit658
  • 2026-08-05v0.2.0index_fit658
  • 2026-08-05v0.2.0index_fit658
  • 2026-08-05v0.2.0index_fit657
  • 2026-08-05v0.2.0index_fit659
  • 2026-08-05v0.2.0index_fit660
  • 2026-08-05v0.2.0index_fit662
  • 2026-08-05v0.2.0index_fit664
  • 2026-08-05v0.2.0index_fit666
  • 2026-08-05v0.2.0index_fit667
  • 2026-08-05v0.2.0index_fit669
  • 2026-08-05v0.2.0index_fit670
  • 2026-08-05v0.2.0index_fit667
  • 2026-08-05v0.2.0index_fit666
  • 2026-08-05v0.2.0index_fit669