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mistralai/mistral-large-2512 · mistralai · context 262 144 · in $0.500/1M · out $1.50/1M

Global Index

508

95% CI [470546] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic446 [356535]
0.3210.780.430.0771.6s$0.917
code421 [348494]
0.2290.980.440.0771.7s$0.563
instruction following318 [244392]
0.2330.870.480.3272.0s$0.123
knowledge725 [554897]
0.5421.001.000.0001.4s$0.063
math349 [295403]
0.1480.830.430.0771.5s$0.250
multilingual819 [654983]
0.6981.001.000.0001.7s$0.076
reasoning361 [280441]
0.2560.980.600.212662ms$0.093
terminal479 [401557]
0.2421.000.340.000886ms$0.189
vision ocr656 [499813]
0.5340.980.960.0772.4s$0.483

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 13/30 correct
correctagentic.tools.ledger-v1conf 100% · 545ms · $0.001 · 259 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: $368
- oscar: $385
- delta: $306

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $513 from "delta" to "bravo"
2. pay $189 from "oscar" to "bravo"
3. pay $522 from "oscar" to "delta"
4. pay $579 from "bravo" to "delta"
5. pay $534 from "oscar" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 207}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 513}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 189}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 326}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 522}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 579}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 534}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 534}} ]
wrongagentic.tools.context-load-v1conf 100% · 1.5s · $0.002 · 269 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 (194 records, format: id|customer|region|item|qty|status):
```
1739|juno|south|panel|21|pending
2024|ionic|east|panel|85|held
1917|birch|south|rotor|11|pending
1418|birch|east|valve|32|pending
1556|harbor|east|gasket|22|shipped
1964|ember|north|cable|12|held
1847|gale|west|sensor|78|held
1676|harbor|west|frame|19|held
1692|dorian|north|valve|38|shipped
1573|dorian|north|gasket|49|held
2010|gale|south|rotor|61|shipped
1913|ember|east|panel|65|shipped
1976|ionic|south|rotor|50|paid
1540|dorian|east|panel|16|pending
1778|birch|south|rotor|72|pending
1860|juno|east|gasket|61|paid
1900|ionic|north|rotor|81|paid
1547|birch|north|pump|59|paid
2077|fulton|south|cable|95|pending
1417|birch|south|sensor|90|pending
1907|ember|east|rotor|11|held
1578|fulton|east|valve|74|held
1856|harbor|east|cable|73|shipped
2210|dorian|north|cable|90|held
1867|juno|west|rotor|48|shipped
1424|birch|south|frame|42|held
2050|ionic|west|frame|47|shipped
1745|acme|west|sensor|45|paid
2135|cobalt|south|pump|15|paid
1433|birch|west|sensor|34|pending
1864|gale|east|frame|43|held
1560|juno|west|frame|75|held
1655|fulton|east|panel|48|shipped
2184|gale|east|cable|22|paid
1685|cobalt|north|gasket|69|pending
1896|juno|east|rotor|12|shipped
2101|birch|south|sensor|43|held
1779|dorian|south|valve|61|paid
1752|harbor|north|pump|92|shipped
1611|cobalt|south|valve|66|shipped
1636|acme|east|panel|89|paid
1691|harbor|south|rotor|53|paid
1989|birch|north|sensor|68|held
1592|harbor|east|cable|31|paid
1621|dorian|west|valve|39|held
1766|acme|south|gasket|33|paid
2142|birch|south|cable|16|pending
2215|ionic|east|gasket|30|paid
1828|acme|south|sensor|41|held
1575|fulton|north|pump|60|pending
1950|dorian|north|frame|57|paid
1788|juno|north|sensor|79|held
1983|dorian|west|pump|15|shipped
1838|harbor|east|rotor|62|pending
1481|birch|east|pump|85|paid
1821|ember|north|valve|56|held
1485|dorian|north|valve|79|held
1849|fulton|west|cable|85|pending
1879|gale|west|sensor|42|shipped
1627|gale|west|valve|74|pending
1534|fulton|north|gasket|71|shipped
1952|ionic|west|rotor|70|shipped
1746|dorian|west|pump|50|paid
1794|juno|west|sensor|69|held
2119|juno|west|cable|76|paid
1872|dorian|west|gasket|11|held
1719|ionic|north|frame|83|pending
1833|harbor|west|valve|92|paid
1606|cobalt|north|sensor|41|paid
1834|ember|east|rotor|12|shipped
2095|ember|east|sensor|77|paid
1920|fulton|north|rotor|84|held
2033|fulton|south|sensor|15|held
1427|birch|south|cable|81|pending
1616|dorian|west|sensor|12|held
1527|fulton|north|cable|95|shipped
1504|birch|east|pump|82|shipped
1757|dorian|south|rotor|47|pending
1726|juno|north|cable|17|shipped
1670|cobalt|south|panel|97|paid
2044|acme|south|rotor|58|pending
2126|ionic|south|pump|12|shipped
1963|ember|south|cable|47|pending
1620|acme|east|frame|59|pending
2192|ember|east|sensor|39|paid
1431|birch|south|rotor|54|paid
1930|juno|east|frame|52|held
1914|acme|west|sensor|78|pending
2060|ionic|west|panel|24|shipped
2005|birch|south|panel|36|paid
1947|gale|north|sensor|38|paid
1497|dorian|west|pump|14|paid
1478|gale|south|frame|93|held
2190|gale|west|panel|22|pending
1998|dorian|east|pump|80|held
1438|birch|south|rotor|36|shipped
1975|ember|west|cable|98|pending
1926|fulton|south|cable|25|pending
1786|ember|north|valve|36|shipped
1815|harbor|south|frame|24|pending
2040|dorian|west|pump|88|shipped
1653|dorian|west|valve|52|paid
2155|fulton|east|sensor|24|held
1511|dorian|north|rotor|88|pending
1713|juno|south|frame|77|shipped
1704|birch|south|panel|27|paid
1840|birch|north|pump|29|pending
2152|acme|east|pump|65|held
2133|acme|west|sensor|35|paid
1602|cobalt|south|sensor|11|pending
2172|ember|east|frame|61|pending
2216|juno|south|rotor|98|shipped
1707|cobalt|south|gasket|74|pending
2198|gale|north|gasket|21|held
2164|ionic|south|gasket|28|shipped
1649|fulton|east|sensor|46|paid
1596|cobalt|north|rotor|57|held
1743|birch|north|frame|38|pending
1969|ember|west|sensor|27|paid
2057|acme|east|cable|51|paid
1773|fulton|east|sensor|15|held
2204|acme|north|gasket|47|pending
1469|birch|south|frame|68|shipped
2028|gale|west|gasket|41|shipped
1642|juno|west|sensor|55|pending
2070|harbor|west|cable|81|held
1462|birch|east|cable|90|pending
2108|ember|east|pump|41|pending
2161|fulton|north|panel|10|shipped
1977|ember|east|valve|50|shipped
1647|ionic|north|rotor|62|shipped
1696|ember|south|gasket|97|shipped
2123|fulton|east|cable|56|shipped
1993|acme|west|gasket|40|paid
1622|gale|east|gasket|58|held
2122|dorian|west|panel|12|shipped
1585|ionic|north|gasket|48|paid
1521|cobalt|east|pump|72|paid
2020|gale|south|sensor|25|held
1450|birch|south|rotor|19|shipped
1638|acme|east|cable|83|shipped
1455|birch|south|sensor|22|pending
2083|gale|west|sensor|76|held
2166|gale|east|valve|66|held
1922|ionic|east|frame|26|paid
1891|ember|north|panel|31|held
1432|birch|south|panel|29|pending
1493|harbor|west|sensor|12|shipped
2124|harbor|north|valve|74|held
1490|birch|east|cable|65|paid
1446|birch|north|valve|21|pending
1488|gale|south|panel|98|paid
1515|cobalt|west|panel|51|paid
2223|ember|east|valve|97|pending
1933|fulton|east|gasket|26|pending
1807|gale|east|sensor|97|paid
1735|ionic|west|frame|94|held
2067|ionic|west|frame|69|paid
1906|cobalt|east|sensor|21|shipped
1940|acme|north|frame|23|pending
1811|juno|east|pump|50|paid
1701|ember|west|sensor|29|shipped
1656|gale|north|gasket|61|held
1550|harbor|east|gasket|20|paid
2149|gale|west|gasket|75|paid
1665|ionic|west|rotor|97|paid
2232|fulton|west|panel|78|pending
1523|harbor|south|panel|80|held
1760|juno|east|rotor|72|held
1740|ember|east|frame|71|paid
2015|fulton|east|pump|80|shipped
1445|birch|south|sensor|12|pending
2112|ember|east|frame|52|paid
1885|juno|east|rotor|71|shipped
2178|ionic|east|sensor|16|held
1473|fulton|south|pump|43|paid
2229|ember|east|sensor|38|held
1957|harbor|north|cable|54|paid
2042|cobalt|west|gasket|57|shipped
1987|acme|south|rotor|73|shipped
1956|harbor|east|sensor|15|shipped
1729|fulton|south|cable|33|pending
1566|fulton|west|panel|54|pending
1800|acme|east|cable|19|paid
1682|birch|north|sensor|54|pending
1629|ember|east|cable|18|shipped
1428|birch|north|valve|37|pending
1612|harbor|west|frame|34|held
2037|harbor|south|pump|28|held
1710|acme|east|sensor|83|paid
1852|fulton|north|valve|14|pending
2090|acme|north|rotor|63|pending
1980|ember|south|sensor|76|paid
1661|acme|west|frame|63|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1417}}, {"tool": "restock", "args": {"item": "rotor", "qty": 72}}, {"tool": "restock", "args": {"item": "sensor", "qty": 90}}, {"tool": "cancel_order", "args": {"order_id": 1424}}, {"tool": "cancel_order", "args": {"order_id": 1432}}, {"tool": "cancel_order", "args": {"order_id": 1445}}, {"tool": "restock", "args": {"item": "cable", "qty": 81}}, {"tool": "restock", "args": {"item": "rotor", "qty": 54}}, {"tool": "cancel_order", "args": {"order_id": 2101}}, {"tool": "restock", "args": {"item": "sensor", "qty": 68}}, {"tool": "restock", "args": {"item": "rotor", "qty": 77}} ]
correctagentic.tools.triage-v1conf 100% · 1.8s · $0.001 · 212 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 6)
2. "card declined at checkout" (category: payments, priority 6)
3. "cannot reset password" (category: auth, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}} ]
wrongagentic.tools.ledger-v1conf 100% · 4.7s · $0.000 · 169 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: $648
- lima: $873
- alpha: $655

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $452 from "lima" to "bravo"
2. pay $277 from "lima" to "alpha"
3. pay $116 from "alpha" to "lima"
4. pay $132 from "bravo" 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": "bravo", "amount": 452}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 277}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 61}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 116}}, {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 132}} ]
wrongagentic.tools.deploy-v1conf 100% · 3.1s · $0.000 · 164 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}} ]
correctagentic.tools.triage-v1conf 100% · 1.6s · $0.001 · 242 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "records missing after import" (category: data, priority 4)
3. "records missing after import" (category: data, priority 4)
4. "refund double-charged" (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": "card declined at checkout", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}} ]
wrongagentic.tools.context-load-v1conf 100% · 2.0s · $0.002 · 83 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 (194 records, format: id|customer|region|item|qty|status):
```
1233|acme|west|valve|87|held
1807|cobalt|north|rotor|79|paid
1364|acme|east|valve|41|paid
1156|gale|east|sensor|13|held
1692|ember|north|valve|75|held
1681|gale|west|panel|76|paid
1699|birch|north|panel|97|pending
1804|gale|south|pump|83|paid
1381|dorian|north|valve|34|paid
1754|juno|east|sensor|74|paid
1469|acme|east|pump|29|held
1162|gale|east|frame|87|held
1852|ember|west|frame|89|shipped
1659|cobalt|east|gasket|77|held
1271|harbor|south|frame|83|pending
1611|dorian|north|sensor|43|shipped
1340|ionic|west|sensor|93|shipped
1371|birch|north|cable|59|shipped
1347|juno|east|rotor|70|pending
1492|ember|east|gasket|43|shipped
1707|ember|east|pump|64|held
1674|ionic|south|panel|41|shipped
1832|fulton|south|gasket|88|paid
1635|harbor|north|rotor|87|held
1362|acme|north|cable|55|held
1849|cobalt|south|panel|62|held
1450|juno|north|panel|33|shipped
1812|fulton|north|pump|54|pending
1648|harbor|south|gasket|32|held
1780|harbor|south|rotor|79|paid
1504|ember|north|panel|34|paid
1521|cobalt|west|valve|44|shipped
1538|cobalt|east|sensor|75|paid
1278|harbor|west|cable|82|paid
1220|fulton|east|frame|96|pending
1290|harbor|north|valve|60|pending
1509|cobalt|south|pump|72|shipped
1512|fulton|south|pump|57|paid
1536|juno|south|rotor|83|held
1396|gale|west|valve|21|pending
1540|ember|south|sensor|32|paid
1375|fulton|south|pump|66|pending
1308|acme|south|panel|64|shipped
1720|gale|east|rotor|83|paid
1796|fulton|east|rotor|75|paid
1528|juno|north|panel|13|held
1427|acme|west|rotor|73|paid
1836|juno|west|pump|43|shipped
1184|gale|north|gasket|31|pending
1544|dorian|west|pump|11|held
1550|acme|east|rotor|99|pending
1177|gale|east|rotor|14|held
1759|acme|north|sensor|53|shipped
1228|dorian|west|valve|93|pending
1319|ember|north|gasket|14|held
1147|gale|east|pump|33|pending
1240|ionic|south|pump|78|pending
1518|juno|east|valve|83|shipped
1436|acme|east|cable|70|paid
1457|ember|west|frame|28|held
1743|gale|west|rotor|55|shipped
1443|cobalt|west|sensor|75|pending
1748|acme|east|frame|56|paid
1531|gale|east|cable|43|paid
1639|ember|west|gasket|16|paid
1268|harbor|west|rotor|76|shipped
1140|gale|east|cable|35|shipped
1456|cobalt|west|panel|14|held
1298|dorian|west|rotor|59|shipped
1594|harbor|south|frame|96|held
1380|harbor|east|panel|67|held
1568|harbor|north|panel|70|pending
1629|cobalt|west|sensor|15|pending
1462|gale|west|pump|96|shipped
1227|ionic|north|valve|80|held
1458|cobalt|east|frame|39|pending
1526|harbor|west|pump|16|paid
1471|dorian|south|gasket|81|held
1214|juno|east|gasket|28|held
1215|harbor|north|panel|42|shipped
1857|birch|west|valve|60|paid
1773|acme|east|frame|86|paid
1765|juno|south|panel|73|paid
1210|acme|north|panel|28|paid
1871|juno|west|pump|80|held
1858|dorian|north|cable|21|pending
1835|fulton|west|gasket|56|shipped
1389|fulton|north|valve|59|pending
1861|fulton|east|panel|84|paid
1401|gale|east|pump|55|shipped
1520|fulton|west|gasket|79|pending
1694|harbor|west|frame|20|held
1406|ionic|west|cable|22|shipped
1588|ionic|south|panel|49|held
1367|ionic|north|sensor|73|pending
1312|ember|west|valve|19|shipped
1828|dorian|north|gasket|99|held
1430|birch|south|valve|21|shipped
1573|fulton|south|pump|16|pending
1644|fulton|west|frame|98|paid
1323|acme|south|frame|56|pending
1410|juno|east|cable|87|held
1879|juno|east|sensor|58|pending
1185|gale|east|rotor|96|paid
1203|gale|south|pump|26|held
1562|dorian|west|sensor|35|paid
1329|gale|north|rotor|72|paid
1355|gale|east|cable|63|pending
1333|harbor|west|frame|60|pending
1486|birch|north|cable|44|paid
1790|dorian|west|cable|60|held
1246|fulton|south|rotor|39|held
1737|cobalt|north|pump|38|pending
1789|cobalt|north|valve|56|pending
1806|cobalt|east|frame|50|shipped
1691|dorian|east|panel|35|pending
1769|gale|south|frame|35|paid
1420|cobalt|east|sensor|29|paid
1873|juno|south|cable|93|pending
1303|ionic|north|sensor|12|held
1260|fulton|north|panel|15|paid
1768|acme|east|frame|81|held
1656|harbor|north|frame|42|paid
1196|gale|east|rotor|42|held
1418|dorian|north|panel|18|pending
1468|acme|east|panel|16|shipped
1784|birch|north|panel|70|pending
1712|fulton|east|gasket|40|paid
1158|gale|north|sensor|30|pending
1137|gale|west|cable|48|pending
1180|gale|east|sensor|17|pending
1717|birch|west|gasket|47|pending
1348|acme|east|valve|82|pending
1726|acme|south|rotor|80|shipped
1417|acme|south|valve|98|paid
1482|acme|south|valve|52|paid
1896|birch|south|frame|71|pending
1664|gale|south|cable|39|pending
1735|dorian|east|gasket|92|held
1844|ionic|south|rotor|27|held
1498|gale|east|panel|70|held
1582|juno|north|valve|10|held
1616|gale|west|panel|19|held
1170|gale|west|frame|97|pending
1819|gale|north|panel|69|paid
1884|dorian|north|cable|68|paid
1869|dorian|north|gasket|52|held
1282|acme|east|rotor|59|shipped
1231|acme|south|valve|38|held
1744|acme|south|valve|90|pending
1553|harbor|south|pump|51|pending
1455|ember|east|sensor|40|held
1557|juno|east|valve|65|paid
1609|cobalt|south|frame|50|pending
1293|dorian|west|frame|85|pending
1890|cobalt|west|gasket|46|held
1395|harbor|east|frame|48|shipped
1671|fulton|east|cable|56|held
1476|ionic|south|gasket|92|shipped
1605|fulton|west|sensor|15|held
1232|gale|west|frame|12|shipped
1575|ember|west|frame|26|held
1802|ionic|west|gasket|42|held
1157|gale|east|cable|80|pending
1816|cobalt|north|pump|91|pending
1824|birch|east|gasket|17|pending
1601|juno|south|pump|52|held
1623|fulton|west|frame|48|paid
1728|cobalt|west|panel|63|held
1454|ember|west|rotor|70|held
1688|cobalt|west|cable|53|pending
1437|birch|west|rotor|12|pending
1131|gale|east|valve|98|pending
1574|birch|south|panel|96|paid
1166|gale|east|valve|25|pending
1373|birch|east|panel|44|pending
1433|harbor|west|panel|16|shipped
1862|ionic|west|cable|45|held
1286|cobalt|north|pump|67|pending
1591|cobalt|west|valve|12|shipped
1651|ionic|south|frame|36|paid
1886|ionic|west|rotor|81|shipped
1700|juno|east|sensor|64|pending
1603|acme|north|valve|76|held
1842|juno|north|cable|49|pending
1383|birch|south|valve|95|shipped
1800|gale|west|pump|37|shipped
1341|birch|east|cable|85|paid
1191|juno|west|cable|18|paid
1261|ionic|south|gasket|63|paid
1349|ember|west|cable|26|held
1253|cobalt|east|rotor|74|held
1149|gale|west|cable|31|pending
1429|birch|north|rotor|53|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1157}}, {"tool": "restock", "args": {"item": "rotor", "qty": 96}}, {"tool": "cancel_order", "args": {"order_id": 1355}} ]
correctagentic.tools.deploy-v1conf 100% · 1.8s · $0.000 · 106 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
wrongagentic.tools.ledger-v1conf 100% · 3.3s · $0.001 · 259 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: $178
- kilo: $176
- oscar: $504

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $333 from "delta" to "oscar"
2. pay $288 from "kilo" to "delta"
3. pay $237 from "kilo" to "delta"
4. pay $204 from "delta" to "oscar"
5. pay $555 from "oscar" 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": "top_up_from_reserve", "args": {"account": "delta", "amount": 155}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 333}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 288}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 237}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 349}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 237}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 204}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 555}} ]
correctagentic.tools.triage-v1conf 100% · 2.0s · $0.001 · 211 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 7)
2. "SSO loop on login" (category: auth, priority 2)
3. "export file corrupted" (category: data, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.context-load-v1conf 100% · 2.5s · $0.002 · 110 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (173 records, format: id|customer|region|item|qty|status):
```
1705|harbor|south|gasket|47|pending
1348|fulton|north|rotor|57|shipped
1546|fulton|west|sensor|86|pending
1623|juno|east|sensor|58|held
1195|acme|west|pump|89|held
1450|ionic|east|frame|88|paid
1088|fulton|east|panel|83|pending
1247|ember|north|rotor|44|shipped
1521|fulton|south|sensor|53|shipped
1442|gale|east|pump|74|paid
1229|cobalt|north|sensor|73|paid
1105|fulton|east|rotor|73|pending
1309|ember|east|pump|21|held
1589|ember|south|cable|78|shipped
1117|fulton|east|cable|71|paid
1360|fulton|north|cable|78|paid
1402|ionic|south|panel|29|pending
1206|fulton|north|cable|96|pending
1435|fulton|west|frame|33|held
1181|dorian|south|cable|31|shipped
1730|cobalt|east|frame|99|pending
1577|dorian|west|cable|75|held
1291|ember|west|pump|25|held
1214|harbor|north|pump|86|paid
1554|acme|west|sensor|98|shipped
1307|juno|west|frame|52|shipped
1556|harbor|east|gasket|93|shipped
1570|juno|west|gasket|50|paid
1238|birch|north|gasket|64|shipped
1599|juno|east|valve|72|pending
1196|birch|east|rotor|80|shipped
1235|dorian|south|pump|10|held
1496|juno|east|rotor|30|held
1563|birch|south|rotor|73|paid
1139|fulton|east|pump|57|shipped
1249|juno|east|sensor|46|pending
1289|dorian|north|rotor|15|paid
1531|fulton|west|sensor|44|pending
1489|harbor|south|gasket|13|held
1645|juno|south|panel|49|paid
1640|juno|west|cable|86|pending
1428|birch|west|cable|28|held
1098|fulton|east|cable|99|pending
1240|fulton|south|valve|33|pending
1732|dorian|south|valve|15|shipped
1119|fulton|east|valve|17|pending
1665|acme|north|frame|93|shipped
1530|fulton|south|pump|70|paid
1656|juno|east|panel|63|pending
1156|dorian|east|pump|68|shipped
1164|harbor|east|sensor|63|held
1631|gale|west|panel|35|held
1744|ember|south|pump|56|held
1797|birch|east|pump|43|pending
1420|acme|north|gasket|97|held
1773|harbor|west|pump|32|shipped
1637|juno|east|panel|93|shipped
1134|fulton|west|sensor|50|pending
1762|acme|north|valve|29|held
1110|fulton|west|gasket|22|pending
1095|fulton|east|sensor|63|held
1480|acme|south|gasket|73|pending
1400|gale|east|panel|59|held
1101|fulton|south|rotor|61|pending
1470|gale|north|cable|39|pending
1586|juno|west|frame|31|shipped
1668|ionic|west|gasket|53|shipped
1695|gale|south|panel|87|pending
1612|harbor|east|sensor|40|held
1092|fulton|west|cable|83|pending
1236|cobalt|west|cable|42|pending
1183|ember|east|frame|78|shipped
1319|ember|east|gasket|74|paid
1129|fulton|east|sensor|99|pending
1522|ember|north|panel|40|pending
1413|fulton|north|valve|32|shipped
1259|birch|north|panel|99|shipped
1127|fulton|east|pump|68|paid
1659|fulton|south|frame|89|shipped
1283|fulton|west|pump|62|held
1485|birch|north|pump|73|shipped
1314|cobalt|east|frame|48|shipped
1614|birch|east|valve|15|pending
1463|juno|north|rotor|92|held
1159|dorian|west|frame|88|held
1355|cobalt|east|valve|62|held
1325|gale|west|frame|48|paid
1122|fulton|west|rotor|76|pending
1490|ember|west|pump|37|shipped
1717|dorian|south|cable|81|pending
1465|birch|west|panel|25|paid
1643|acme|west|frame|26|paid
1789|birch|south|cable|84|shipped
1505|birch|east|rotor|87|pending
1611|fulton|north|frame|24|pending
1456|harbor|south|cable|15|shipped
1153|ember|east|valve|99|shipped
1621|acme|south|cable|45|shipped
1170|ionic|west|gasket|99|shipped
1423|gale|east|cable|65|pending
1316|ember|north|rotor|36|shipped
1711|gale|north|gasket|68|paid
1579|juno|west|gasket|37|shipped
1441|juno|north|frame|47|shipped
1517|ionic|north|rotor|54|held
1199|acme|south|cable|64|paid
1296|harbor|west|sensor|78|paid
1255|ember|south|rotor|21|held
1177|juno|north|frame|63|held
1712|fulton|south|frame|53|pending
1511|gale|east|pump|68|paid
1333|birch|west|frame|39|paid
1379|dorian|south|gasket|70|shipped
1220|fulton|west|cable|41|shipped
1595|birch|south|pump|30|shipped
1502|fulton|east|pump|97|pending
1680|harbor|east|rotor|12|paid
1702|acme|west|valve|26|pending
1605|gale|south|rotor|38|shipped
1345|birch|west|frame|38|shipped
1347|gale|west|cable|57|pending
1767|ionic|north|sensor|31|shipped
1374|dorian|north|valve|74|pending
1142|cobalt|west|sensor|71|pending
1738|harbor|south|rotor|16|pending
1332|dorian|north|frame|96|held
1406|gale|east|sensor|79|pending
1724|dorian|north|panel|10|pending
1710|gale|south|frame|57|pending
1751|gale|south|pump|56|shipped
1576|harbor|south|valve|17|shipped
1149|ember|north|valve|82|paid
1685|dorian|east|valve|45|pending
1362|ionic|north|gasket|56|held
1541|juno|east|cable|66|pending
1211|birch|east|gasket|85|held
1145|cobalt|west|valve|33|shipped
1393|fulton|west|cable|38|shipped
1506|cobalt|north|cable|86|shipped
1329|harbor|east|valve|91|held
1508|birch|west|frame|35|paid
1793|birch|south|rotor|53|held
1535|juno|north|frame|49|shipped
1609|dorian|east|pump|28|paid
1756|gale|south|pump|94|held
1477|juno|south|pump|33|shipped
1714|ionic|east|cable|92|held
1277|acme|south|pump|48|paid
1239|ember|north|rotor|90|held
1780|acme|east|rotor|56|pending
1447|fulton|south|panel|96|shipped
1338|fulton|west|valve|50|paid
1520|ionic|east|sensor|78|pending
1191|fulton|east|gasket|65|pending
1438|ionic|south|sensor|54|shipped
1403|harbor|east|pump|28|pending
1271|harbor|east|cable|98|pending
1547|acme|west|pump|82|held
1650|ionic|west|pump|13|shipped
1300|ember|south|sensor|84|pending
1528|birch|east|frame|42|shipped
1673|ionic|south|frame|62|held
1185|gale|east|pump|36|held
1692|harbor|east|frame|13|pending
1225|ionic|east|rotor|40|pending
1265|juno|west|panel|16|shipped
1602|cobalt|north|panel|68|paid
1783|gale|north|pump|93|held
1657|harbor|south|sensor|63|paid
1629|harbor|south|valve|70|pending
1368|cobalt|south|frame|90|paid
1386|dorian|west|gasket|34|shipped
1103|fulton|east|cable|69|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" 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": "restock", "args": {"item": "panel", "qty": 83}}, {"tool": "restock", "args": {"item": "pump", "qty": 97}}, {"tool": "cancel_order", "args": {"order_id": 1105}}, {"tool": "restock", "args": {"item": "sensor", "qty": 99}} ]
correctagentic.tools.deploy-v1conf 100% · 5.0s · $0.000 · 107 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: auth-svc, search
- search: (none)
- auth-svc: search
- 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 "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}} ]
wrongagentic.tools.ledger-v1conf 100% · 1.4s · $0.000 · 168 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: $306
- delta: $624
- tango: $482

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $215 from "delta" to "tango"
2. pay $178 from "lima" to "delta"
3. pay $554 from "tango" to "delta"
4. pay $264 from "delta" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 215}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 178}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 73}}, {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 554}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 264}} ]
wrongagentic.tools.context-load-v1conf 100% · 2.7s · $0.002 · 245 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 (197 records, format: id|customer|region|item|qty|status):
```
1691|dorian|west|sensor|88|held
2008|acme|south|pump|36|pending
1621|ember|south|cable|98|shipped
2121|cobalt|south|rotor|46|shipped
1800|gale|north|sensor|84|pending
1974|harbor|east|panel|26|pending
1495|ember|east|rotor|98|paid
1617|harbor|south|valve|41|held
1872|birch|north|pump|75|shipped
1772|fulton|north|rotor|92|held
2151|acme|east|pump|15|shipped
1440|dorian|west|pump|13|pending
1796|fulton|east|cable|44|held
1521|fulton|east|valve|49|held
1670|birch|north|panel|30|held
1982|fulton|west|rotor|97|paid
1450|dorian|east|pump|59|pending
1472|dorian|north|valve|16|pending
1828|birch|north|panel|84|held
1590|birch|east|rotor|46|pending
1986|birch|south|panel|56|held
1612|juno|south|gasket|88|held
1791|acme|north|pump|83|paid
1895|ember|north|rotor|71|shipped
2147|gale|south|valve|90|pending
1797|cobalt|west|frame|28|held
1741|gale|north|sensor|67|shipped
1882|juno|south|valve|89|held
1593|acme|east|valve|96|shipped
1740|ionic|east|frame|40|shipped
1748|harbor|west|gasket|53|paid
2172|ember|south|gasket|98|pending
1478|ionic|south|panel|57|pending
1914|birch|south|sensor|76|held
1605|birch|east|pump|65|held
1569|acme|west|gasket|27|held
1820|cobalt|south|frame|63|pending
1430|dorian|west|sensor|56|pending
2116|acme|north|rotor|24|shipped
2067|gale|east|sensor|62|shipped
2105|juno|west|pump|41|paid
1456|dorian|south|frame|51|paid
1602|ionic|north|gasket|68|pending
2124|birch|east|pump|73|pending
2118|cobalt|west|panel|71|shipped
1623|ember|east|cable|96|pending
1480|gale|east|sensor|93|paid
2024|fulton|west|pump|35|pending
1516|acme|north|gasket|28|paid
1664|acme|north|sensor|19|pending
1642|acme|west|sensor|20|paid
2101|ember|east|cable|25|held
2161|cobalt|south|rotor|50|pending
1905|dorian|west|gasket|99|pending
2097|ember|south|cable|85|pending
1849|gale|north|valve|83|paid
1844|juno|south|cable|96|paid
1763|harbor|south|cable|39|shipped
1798|juno|west|frame|70|shipped
1560|ionic|east|cable|20|shipped
2014|birch|north|cable|35|shipped
2001|dorian|north|valve|30|held
2145|dorian|east|cable|20|pending
1809|dorian|south|valve|25|paid
2020|juno|west|cable|70|shipped
1860|cobalt|north|rotor|80|paid
1678|dorian|east|cable|57|pending
1529|ember|south|rotor|98|pending
1498|fulton|west|sensor|81|pending
1587|dorian|south|valve|59|held
2032|gale|east|pump|45|shipped
1446|dorian|south|cable|70|paid
1995|ionic|north|frame|84|paid
1506|gale|south|frame|82|pending
1719|acme|north|gasket|37|paid
1989|juno|south|gasket|62|pending
1616|dorian|south|frame|69|held
1945|harbor|north|rotor|56|shipped
1780|acme|west|frame|96|pending
1705|birch|north|gasket|34|pending
1424|dorian|south|cable|29|pending
1540|ionic|south|frame|31|pending
1761|juno|north|sensor|28|held
1596|birch|north|panel|80|pending
2167|ember|north|cable|97|shipped
1483|juno|west|gasket|75|pending
1968|cobalt|west|panel|84|held
1586|juno|west|valve|92|paid
2059|dorian|east|sensor|16|paid
1837|ember|west|rotor|53|shipped
1652|ember|east|sensor|30|paid
1867|juno|west|gasket|87|held
1547|birch|east|frame|25|held
1773|ember|north|rotor|60|shipped
1727|acme|south|rotor|39|paid
1576|ember|south|sensor|16|pending
1964|juno|south|frame|65|held
2017|cobalt|west|cable|38|held
2143|dorian|south|gasket|14|held
1835|dorian|north|pump|76|held
1726|ionic|west|frame|53|pending
1759|ember|east|panel|39|held
1510|acme|south|frame|74|paid
1733|birch|south|rotor|20|paid
2159|ember|west|frame|21|pending
2037|dorian|south|rotor|67|paid
1737|birch|west|sensor|85|held
1901|acme|north|rotor|25|paid
1658|birch|south|pump|69|held
2129|birch|south|cable|42|pending
1924|ember|west|panel|14|shipped
1952|dorian|north|panel|17|pending
1749|fulton|west|sensor|56|paid
1734|ionic|south|cable|61|pending
1588|dorian|south|valve|35|pending
1935|dorian|west|sensor|46|shipped
2087|ionic|west|frame|32|paid
1898|gale|north|gasket|19|shipped
2074|ionic|west|gasket|17|paid
1524|fulton|north|sensor|53|paid
1488|harbor|west|gasket|98|shipped
1926|ember|east|frame|48|pending
1711|cobalt|west|panel|82|pending
1467|gale|east|gasket|29|pending
2031|cobalt|south|cable|59|held
1640|dorian|north|frame|76|held
1868|gale|north|pump|95|shipped
2100|ember|south|valve|89|held
1929|gale|east|valve|94|pending
1756|juno|south|panel|91|paid
1436|dorian|south|cable|11|pending
1592|ember|west|gasket|71|paid
1939|dorian|south|rotor|10|pending
1433|dorian|south|frame|66|held
1971|fulton|north|cable|51|paid
1568|birch|north|rotor|43|held
2055|ember|east|gasket|98|pending
1684|birch|south|rotor|42|paid
1449|dorian|south|panel|92|pending
1839|gale|south|panel|23|paid
1768|juno|west|sensor|53|held
1715|juno|west|gasket|45|paid
1531|acme|west|sensor|78|held
2092|cobalt|north|gasket|78|paid
2106|fulton|west|valve|30|shipped
1778|juno|south|cable|83|held
1920|ionic|east|cable|87|paid
1572|fulton|west|gasket|96|held
1549|harbor|north|sensor|42|shipped
2127|acme|east|sensor|43|shipped
1463|ember|south|valve|56|held
2056|gale|east|rotor|77|shipped
1571|gale|south|gasket|48|shipped
1804|ember|north|rotor|43|paid
2169|acme|north|frame|16|held
1461|dorian|south|frame|37|shipped
2131|fulton|west|rotor|41|shipped
1815|cobalt|north|frame|33|shipped
1499|cobalt|north|pump|68|pending
1951|ionic|south|pump|12|held
1975|cobalt|east|pump|35|held
2064|ember|west|valve|13|paid
1645|birch|east|valve|35|shipped
1928|fulton|south|gasket|17|held
1755|dorian|north|pump|71|pending
1567|gale|north|pump|18|pending
1696|birch|east|frame|14|paid
1786|ionic|east|cable|27|paid
2109|ionic|east|pump|59|paid
2153|gale|south|panel|75|pending
2080|cobalt|south|sensor|28|pending
1579|birch|west|cable|60|held
2051|cobalt|east|gasket|27|held
1910|acme|west|pump|81|shipped
1810|gale|north|rotor|11|paid
1629|ember|north|rotor|85|paid
2154|harbor|east|cable|60|paid
1564|ember|east|cable|37|shipped
1494|ember|east|valve|71|paid
2044|harbor|east|valve|38|paid
1556|gale|west|gasket|25|paid
1888|ember|south|rotor|52|shipped
1633|ember|east|gasket|36|paid
2136|gale|east|pump|41|pending
1957|birch|north|frame|55|pending
1701|ember|north|frame|30|shipped
2094|harbor|east|frame|30|paid
1676|cobalt|north|frame|67|paid
1729|acme|east|frame|54|pending
1656|fulton|north|sensor|28|pending
1534|birch|south|valve|67|paid
1855|ember|west|frame|69|held
1875|harbor|north|pump|84|paid
2120|acme|west|pump|83|paid
1659|birch|east|rotor|98|paid
1842|harbor|east|frame|88|held
1821|ember|south|valve|30|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 1424}}, {"tool": "restock", "args": {"item": "cable", "qty": 70}}, {"tool": "restock", "args": {"item": "frame", "qty": 51}}, {"tool": "restock", "args": {"item": "pump", "args": 59}}, {"tool": "cancel_order", "args": {"order_id": 1436}}, {"tool": "cancel_order", "args": {"order_id": 1440}}, {"tool": "restock", "args": {"item": "rotor", "qty": 67}}, {"tool": "cancel_order", "args": {"order_id": 1458}}, {"tool": "restock", "args": {"item": "valve", "qty": 59}}, {"tool": "cancel_order", "args": {"order_id": 1939}} ]
correctagentic.tools.triage-v1conf 100% · 1.6s · $0.001 · 188 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → tanaka
- infra → silva
- auth → okafor

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 4)
2. "webhooks not delivered" (category: infra, priority 4)
3. "webhooks not delivered" (category: infra, 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": "card declined at checkout", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 100% · 784ms · $0.000 · 107 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: billing, gateway
- billing: gateway
- gateway: (none)
- auth-svc: billing

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "search"}} ]
wrongagentic.tools.ledger-v1conf 100% · 1.8s · $0.000 · 172 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: $810
- oscar: $816
- kilo: $189

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $468 from "oscar" to "tango"
2. pay $467 from "tango" to "oscar"
3. pay $362 from "oscar" to "kilo"
4. pay $159 from "oscar" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 468}}, {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 467}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 19}}, {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 362}}, {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 159}} ]
correctagentic.tools.triage-v1conf 100% · 823ms · $0.001 · 209 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 → okafor
- infra → rivera
- payments → haddad

INCIDENTS:
1. "export file corrupted" (category: data, priority 8)
2. "uploads failing intermittently" (category: infra, priority 3)
3. "export file corrupted" (category: data, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.context-load-v1conf 100% · 598ms · $0.002 · 104 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (199 records, format: id|customer|region|item|qty|status):
```
1149|juno|north|rotor|73|held
1268|gale|south|valve|38|shipped
1210|ionic|east|frame|56|shipped
1775|dorian|south|valve|51|shipped
1318|cobalt|south|sensor|20|paid
1582|acme|south|pump|99|held
1177|harbor|east|gasket|27|held
1071|acme|west|valve|22|pending
1213|juno|south|cable|34|shipped
1418|ember|south|pump|21|paid
1312|ionic|north|valve|20|held
1673|juno|north|frame|42|pending
1374|dorian|west|frame|79|paid
1496|acme|south|panel|86|shipped
1133|ionic|north|gasket|99|held
1501|cobalt|south|rotor|25|paid
1394|ember|south|sensor|56|shipped
1108|ember|west|rotor|30|pending
1142|acme|west|frame|49|pending
1115|dorian|south|valve|16|held
1621|harbor|south|frame|12|paid
1369|dorian|west|cable|83|shipped
1339|birch|north|gasket|76|shipped
1737|acme|north|cable|12|held
1758|ember|south|frame|57|held
1471|ionic|west|sensor|98|pending
1390|harbor|west|valve|62|pending
1555|ember|west|valve|40|shipped
1154|fulton|west|rotor|39|pending
1551|dorian|north|gasket|87|paid
1732|dorian|south|rotor|78|paid
1451|cobalt|north|pump|77|shipped
1516|dorian|north|gasket|96|held
1639|birch|east|cable|89|pending
1248|dorian|west|cable|88|shipped
1786|harbor|west|panel|91|shipped
1482|dorian|north|gasket|67|held
1284|juno|west|cable|80|paid
1588|ionic|west|cable|91|held
1307|dorian|south|rotor|88|pending
1680|gale|north|gasket|73|pending
1490|acme|south|frame|53|held
1525|dorian|east|panel|54|paid
1229|juno|west|gasket|19|pending
1771|harbor|east|valve|52|paid
1112|ember|west|sensor|55|paid
1614|juno|west|rotor|99|pending
1358|dorian|west|frame|44|shipped
1072|acme|east|pump|31|held
1221|ionic|south|rotor|81|pending
1258|juno|north|panel|58|pending
1103|fulton|south|panel|26|paid
1511|ionic|west|frame|46|pending
1264|cobalt|east|valve|80|paid
1076|acme|east|sensor|17|pending
1654|dorian|west|gasket|39|shipped
1508|ember|north|panel|52|shipped
1409|gale|south|frame|95|pending
1766|gale|west|frame|50|shipped
1296|harbor|north|gasket|46|paid
1240|ionic|north|valve|71|held
1160|ionic|east|cable|95|pending
1127|birch|west|pump|33|pending
1373|acme|north|valve|47|pending
1260|fulton|west|rotor|49|pending
1175|juno|east|sensor|80|paid
1710|acme|east|valve|51|pending
1477|juno|north|rotor|73|pending
1624|acme|west|sensor|23|paid
1546|birch|east|pump|28|paid
1759|juno|south|rotor|11|paid
1096|ionic|west|gasket|24|paid
1483|harbor|west|sensor|67|pending
1371|ember|west|panel|60|pending
1397|dorian|south|gasket|50|pending
1421|harbor|west|cable|20|pending
1562|gale|east|pump|57|paid
1243|acme|west|pump|39|shipped
1298|ionic|west|rotor|86|paid
1109|harbor|east|sensor|82|pending
1255|dorian|east|sensor|86|held
1770|acme|west|panel|45|paid
1132|fulton|west|rotor|98|pending
1359|fulton|west|panel|97|shipped
1427|birch|south|gasket|48|paid
1405|acme|west|frame|13|held
1150|acme|north|cable|70|pending
1200|ember|north|pump|33|pending
1791|birch|east|valve|43|paid
1702|ionic|west|rotor|62|pending
1748|juno|south|cable|31|pending
1060|acme|east|sensor|86|pending
1227|dorian|east|gasket|81|pending
1683|fulton|north|cable|17|paid
1447|fulton|east|cable|83|held
1334|juno|north|gasket|15|shipped
1769|dorian|north|rotor|99|paid
1664|birch|east|gasket|36|paid
1353|ionic|west|gasket|73|held
1121|acme|south|sensor|20|shipped
1539|fulton|west|pump|55|pending
1536|harbor|north|sensor|73|held
1079|acme|west|rotor|17|pending
1724|ember|east|frame|40|paid
1696|dorian|north|valve|30|shipped
1647|birch|south|cable|32|shipped
1280|juno|west|rotor|36|paid
1569|gale|south|rotor|55|held
1705|harbor|south|sensor|17|shipped
1215|cobalt|east|panel|14|shipped
1201|ionic|west|rotor|26|shipped
1165|birch|east|valve|58|pending
1609|gale|north|panel|92|pending
1168|acme|east|panel|77|paid
1199|acme|north|gasket|63|paid
1591|harbor|south|cable|38|paid
1437|acme|east|pump|46|held
1187|juno|south|pump|90|held
1403|acme|north|rotor|90|shipped
1239|acme|west|frame|69|paid
1234|acme|south|gasket|10|paid
1086|acme|west|gasket|41|pending
1744|birch|east|gasket|89|paid
1287|cobalt|north|gasket|59|held
1325|ember|south|panel|94|paid
1479|birch|east|pump|23|paid
1458|birch|west|pump|78|paid
1434|acme|west|panel|81|held
1407|acme|east|pump|32|pending
1261|harbor|west|sensor|38|paid
1594|gale|south|cable|38|shipped
1636|birch|west|sensor|96|paid
1084|acme|east|valve|92|pending
1802|harbor|west|frame|31|pending
1633|cobalt|east|pump|69|pending
1303|ember|west|rotor|34|held
1729|ember|east|cable|30|paid
1357|juno|north|valve|88|pending
1386|dorian|east|gasket|15|held
1531|cobalt|east|frame|31|held
1552|birch|south|frame|66|paid
1351|birch|east|valve|31|shipped
1717|ionic|west|panel|41|paid
1137|birch|south|valve|25|held
1570|dorian|east|gasket|36|pending
1193|acme|north|pump|31|paid
1331|fulton|south|frame|19|pending
1798|birch|south|frame|41|paid
1781|birch|north|valve|45|pending
1600|acme|east|frame|15|pending
1622|birch|east|gasket|48|held
1093|acme|east|panel|81|shipped
1634|acme|south|valve|20|paid
1731|ionic|east|panel|58|paid
1611|dorian|west|sensor|34|shipped
1404|fulton|south|pump|31|shipped
1597|harbor|north|cable|61|held
1644|birch|south|frame|79|shipped
1747|ionic|south|panel|18|pending
1116|juno|north|valve|70|pending
1736|cobalt|south|sensor|70|paid
1626|dorian|east|rotor|29|paid
1069|acme|east|panel|47|pending
1292|ionic|south|gasket|79|held
1753|cobalt|west|rotor|35|pending
1620|juno|east|cable|21|shipped
1182|acme|west|pump|85|shipped
1275|fulton|east|cable|21|paid
1067|acme|east|pump|79|paid
1690|birch|east|gasket|23|paid
1466|dorian|south|panel|52|shipped
1444|birch|south|rotor|68|pending
1379|cobalt|north|cable|18|paid
1599|fulton|south|pump|32|paid
1362|ionic|east|rotor|74|pending
1181|juno|east|cable|55|pending
1520|harbor|north|panel|10|shipped
1607|harbor|south|rotor|89|paid
1601|cobalt|north|panel|93|paid
1580|dorian|west|rotor|18|pending
1463|harbor|south|rotor|98|held
1143|gale|west|gasket|58|paid
1066|acme|south|frame|22|pending
1657|gale|south|panel|84|pending
1441|juno|south|panel|78|held
1537|acme|south|sensor|82|shipped
1415|birch|east|gasket|19|held
1207|fulton|east|frame|23|shipped
1344|gale|west|pump|58|pending
1689|ember|north|sensor|79|shipped
1231|cobalt|north|valve|98|paid
1188|ionic|south|sensor|46|paid
1618|fulton|north|rotor|29|pending
1465|dorian|south|cable|28|paid
1134|dorian|north|cable|36|held
1577|dorian|east|cable|46|held
1432|harbor|west|sensor|17|paid
1671|cobalt|east|rotor|81|held
1083|acme|east|gasket|50|shipped
```

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 > 47, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "pump", "qty": 79}}, {"tool": "cancel_order", "args": {"order_id": 1060}}, {"tool": "cancel_order", "args": {"order_id": 1084}}, {"tool": "cancel_order", "args": {"order_id": 1600}} ]
correctagentic.tools.deploy-v1conf 100% · 645ms · $0.000 · 107 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}} ]
wrongagentic.tools.ledger-v1conf 100% · 630ms · $0.001 · 253 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $398
- echo: $238
- oscar: $306

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $254 from "echo" to "oscar"
2. pay $533 from "echo" to "oscar"
3. pay $107 from "alpha" to "oscar"
4. pay $197 from "echo" to "alpha"
5. pay $245 from "echo" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 254}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 295}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 533}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 107}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 494}}, {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 197}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 245}}, {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 245}} ]
correctagentic.tools.triage-v1conf 100% · 1.3s · $0.001 · 267 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "export file corrupted" (category: data, priority 4)
3. "export file corrupted" (category: data, priority 4)
4. "webhooks not delivered" (category: infra, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"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": "webhooks not delivered", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
wrongagentic.tools.context-load-v1conf 100% · 706ms · $0.003 · 213 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (292 records, format: id|customer|region|item|qty|status):
```
1113|cobalt|north|rotor|27|pending
1273|acme|north|frame|43|pending
1911|acme|east|sensor|75|shipped
1457|acme|west|valve|90|pending
1232|ember|west|pump|66|pending
2105|harbor|east|frame|98|shipped
2029|juno|west|panel|20|pending
2004|juno|south|rotor|31|shipped
1587|juno|west|frame|46|shipped
2228|fulton|east|valve|48|pending
1730|fulton|north|valve|42|held
1566|cobalt|west|pump|57|shipped
1887|dorian|south|panel|60|pending
2141|gale|south|rotor|12|held
1397|juno|north|cable|10|paid
1634|dorian|south|rotor|39|pending
1617|cobalt|east|valve|30|held
1156|dorian|west|frame|78|pending
1867|ionic|west|panel|57|held
1176|cobalt|west|rotor|25|pending
1979|juno|south|gasket|44|held
2192|harbor|east|gasket|30|paid
1593|fulton|north|sensor|24|shipped
1921|acme|west|panel|50|shipped
2012|juno|north|pump|89|held
1954|dorian|west|cable|26|paid
1436|harbor|east|pump|75|pending
2117|gale|south|valve|15|shipped
2153|fulton|north|valve|45|pending
1787|acme|west|pump|37|shipped
2290|ionic|east|gasket|46|shipped
1759|dorian|east|gasket|82|pending
2208|ember|east|rotor|25|paid
1600|juno|south|panel|40|paid
1261|ember|north|frame|86|shipped
1494|ember|south|panel|61|pending
1179|ionic|south|pump|71|held
2265|ember|south|cable|88|shipped
1898|ember|north|gasket|78|paid
2073|acme|west|cable|81|held
2024|harbor|south|cable|69|shipped
2088|fulton|north|cable|11|shipped
1519|acme|west|rotor|64|paid
2160|acme|east|sensor|15|shipped
1720|ember|east|pump|28|pending
1426|ember|north|rotor|81|held
1393|juno|south|cable|17|shipped
1878|acme|south|sensor|96|pending
1913|juno|south|rotor|37|paid
1510|harbor|east|rotor|18|held
1573|fulton|north|rotor|11|paid
1401|dorian|west|sensor|80|shipped
1754|ionic|west|gasket|43|paid
1946|cobalt|north|cable|47|pending
1274|acme|north|cable|94|paid
1086|cobalt|north|cable|46|pending
1688|ember|north|pump|97|held
1138|cobalt|north|cable|78|shipped
1117|cobalt|west|pump|41|pending
2214|cobalt|west|gasket|15|pending
1799|harbor|west|panel|57|held
1219|acme|south|gasket|92|pending
2016|acme|south|panel|25|paid
1337|gale|east|cable|27|paid
1951|ember|south|valve|51|pending
2042|fulton|west|pump|87|paid
1240|juno|north|frame|51|pending
2286|cobalt|west|cable|74|held
1289|dorian|east|panel|98|paid
1224|juno|north|rotor|25|pending
1511|gale|north|valve|79|pending
2250|ionic|west|frame|26|paid
1561|dorian|west|pump|45|pending
1828|acme|east|sensor|57|held
1124|cobalt|north|valve|92|paid
1863|ember|west|valve|58|pending
1932|dorian|west|gasket|69|pending
1280|acme|north|valve|17|paid
1797|ionic|west|cable|61|paid
1892|ember|south|pump|17|held
1814|ember|north|cable|41|paid
1487|dorian|west|sensor|46|paid
1500|ionic|west|rotor|79|pending
2066|gale|north|valve|33|shipped
1382|cobalt|north|sensor|50|shipped
2257|dorian|east|valve|24|held
1212|harbor|east|gasket|36|held
1193|fulton|north|gasket|45|pending
2205|fulton|south|valve|67|held
1557|ionic|north|rotor|99|paid
1198|acme|west|sensor|88|paid
1854|birch|east|cable|25|pending
2112|harbor|north|valve|11|paid
1966|fulton|east|panel|41|shipped
1312|fulton|north|cable|64|shipped
1627|ember|south|sensor|43|pending
2026|ember|south|valve|55|held
1565|juno|east|frame|97|paid
1496|birch|north|pump|79|shipped
2138|ember|north|frame|50|shipped
2254|gale|north|panel|70|paid
1662|cobalt|west|valve|81|shipped
1723|gale|east|pump|13|pending
1429|cobalt|north|cable|35|pending
1840|harbor|east|cable|79|paid
1211|dorian|west|gasket|66|paid
1654|ionic|north|pump|37|shipped
1182|acme|east|rotor|72|shipped
1462|ember|south|gasket|20|pending
1465|fulton|west|pump|37|paid
2122|ember|north|frame|90|held
1765|juno|south|sensor|22|shipped
1666|dorian|east|panel|26|shipped
2132|gale|west|cable|62|held
1547|ionic|east|valve|26|shipped
1149|acme|east|frame|98|paid
1858|juno|east|sensor|82|shipped
1210|acme|south|gasket|92|held
1389|juno|east|cable|36|held
2221|juno|east|cable|97|shipped
1572|gale|west|frame|11|held
1972|harbor|east|gasket|91|shipped
1474|dorian|south|cable|64|shipped
1350|fulton|south|valve|99|pending
2277|dorian|west|sensor|63|held
1349|cobalt|south|rotor|61|pending
1910|cobalt|east|sensor|98|shipped
1469|gale|west|gasket|93|pending
1744|ionic|north|gasket|24|paid
2059|harbor|west|panel|42|held
1915|harbor|west|pump|78|pending
1270|dorian|north|cable|38|shipped
2198|juno|north|pump|72|pending
1831|juno|north|panel|22|held
2086|acme|west|cable|43|shipped
2094|juno|south|frame|10|paid
1317|ember|north|rotor|37|pending
1781|fulton|west|rotor|76|paid
2035|ionic|west|sensor|53|shipped
1724|birch|south|rotor|64|shipped
1453|acme|south|cable|28|paid
1702|dorian|south|panel|80|shipped
2241|juno|north|valve|98|shipped
1375|cobalt|east|cable|60|paid
1412|cobalt|west|sensor|71|pending
2020|harbor|north|pump|50|paid
1442|fulton|north|cable|28|held
1099|cobalt|north|panel|84|shipped
1310|harbor|north|rotor|15|paid
1837|gale|west|gasket|59|paid
1324|fulton|west|pump|30|pending
1504|fulton|west|rotor|34|held
1774|dorian|south|frame|15|shipped
1870|ionic|west|sensor|44|shipped
2200|cobalt|south|panel|27|shipped
1363|harbor|north|gasket|23|paid
2077|dorian|north|sensor|34|paid
1146|dorian|north|pump|65|held
1674|harbor|east|frame|13|pending
1588|harbor|west|rotor|72|paid
1305|gale|north|frame|74|pending
1648|birch|east|gasket|20|paid
2181|dorian|south|cable|14|pending
1092|cobalt|east|cable|57|pending
1184|ionic|west|valve|56|shipped
1993|birch|south|frame|69|paid
1140|gale|west|frame|51|shipped
1997|ionic|west|rotor|28|held
1163|ionic|west|valve|85|pending
1267|juno|east|cable|68|shipped
1454|gale|west|rotor|93|shipped
1714|cobalt|north|frame|50|pending
1905|birch|north|pump|71|paid
1106|cobalt|west|sensor|13|pending
1620|cobalt|north|pump|75|held
2210|cobalt|west|frame|56|pending
1807|acme|north|valve|56|pending
1939|acme|south|sensor|17|paid
1482|dorian|north|valve|18|shipped
1447|dorian|north|pump|78|shipped
1986|gale|west|gasket|74|paid
1408|gale|south|valve|44|pending
1926|dorian|west|frame|65|shipped
1681|ember|north|sensor|20|pending
1135|cobalt|south|valve|46|pending
1190|cobalt|west|valve|42|pending
2101|birch|west|sensor|87|shipped
1885|cobalt|south|gasket|63|paid
1737|cobalt|east|sensor|14|paid
1824|gale|west|gasket|16|paid
2148|acme|west|gasket|91|held
2064|gale|south|sensor|10|held
1481|ember|west|pump|35|held
1611|birch|north|valve|32|pending
1432|cobalt|east|rotor|39|pending
1531|ionic|west|valve|99|pending
1842|fulton|north|valve|34|held
1804|cobalt|south|cable|11|held
2045|cobalt|south|pump|74|paid
2151|juno|south|valve|14|paid
1419|gale|east|cable|72|shipped
1311|harbor|south|sensor|30|held
1873|gale|west|rotor|33|paid
1980|juno|south|frame|21|pending
2170|juno|east|pump|19|held
2111|fulton|west|panel|73|paid
2052|acme|east|rotor|79|shipped
2155|juno|west|rotor|87|held
1467|gale|north|valve|73|paid
2268|birch|south|valve|72|held
1083|cobalt|north|rotor|16|held
1448|ember|west|panel|70|paid
1204|dorian|west|valve|33|paid
2013|juno|north|rotor|41|paid
1698|ember|north|gasket|67|paid
1233|harbor|west|gasket|79|shipped
1599|harbor|west|gasket|54|held
1071|cobalt|north|sensor|49|pending
1691|ionic|west|rotor|10|held
1077|cobalt|east|valve|99|pending
1541|ionic|south|gasket|34|paid
2116|cobalt|south|sensor|41|pending
1342|cobalt|east|panel|43|held
1308|dorian|west|sensor|11|pending
1365|birch|north|frame|23|paid
1848|birch|east|gasket|30|shipped
1260|fulton|west|rotor|28|shipped
1819|cobalt|east|frame|83|pending
1171|ember|east|panel|75|shipped
1100|cobalt|north|rotor|60|pending
1301|cobalt|south|frame|98|held
1981|dorian|south|rotor|75|paid
1709|cobalt|west|sensor|58|held
2264|harbor|east|panel|56|paid
2082|dorian|west|valve|76|pending
1943|birch|south|rotor|36|pending
2259|harbor|west|gasket|28|pending
1512|fulton|south|frame|79|pending
1298|dorian|west|valve|59|paid
2235|dorian|south|cable|51|shipped
1293|dorian|south|panel|99|pending
2270|acme|north|pump|58|paid
1817|birch|south|gasket|59|paid
1181|dorian|east|frame|45|pending
1130|cobalt|north|valve|35|pending
2167|ember|south|valve|91|paid
2177|fulton|west|rotor|94|paid
2185|fulton|south|pump|53|pending
1538|juno|west|cable|77|held
1187|birch|west|cable|26|paid
1747|birch|north|frame|60|paid
1168|dorian|south|cable|97|paid
1330|acme|north|gasket|75|shipped
1207|ionic|north|panel|97|held
2014|harbor|south|cable|29|pending
1161|cobalt|north|sensor|58|shipped
2158|acme|north|sensor|58|shipped
1254|ember|north|valve|70|pending
1889|cobalt|north|pump|12|paid
1827|dorian|east|gasket|67|paid
1645|fulton|west|frame|42|paid
2279|gale|west|cable|44|paid
2008|cobalt|west|pump|67|paid
2127|harbor|west|valve|54|shipped
1284|juno|east|sensor|26|pending
1421|harbor|north|panel|86|pending
1554|harbor|west|cable|56|paid
1961|ember|west|pump|97|shipped
1606|cobalt|south|rotor|69|paid
1790|juno|north|cable|32|pending
1108|cobalt|north|frame|72|paid
1672|gale|east|cable|48|paid
1660|gale|west|rotor|79|shipped
1226|birch|north|frame|39|shipped
2143|cobalt|west|gasket|53|held
1450|gale|south|cable|40|pending
1370|acme|east|pump|53|held
1580|fulton|south|sensor|21|shipped
1524|fulton|west|sensor|37|pending
1638|birch|east|pump|19|shipped
2292|gale|east|rotor|62|pending
1356|birch|west|valve|45|held
2244|juno|west|panel|70|paid
1768|ember|west|valve|45|pending
1677|harbor|south|valve|66|shipped
1701|fulton|east|valve|55|pending
1665|gale|north|gasket|85|held
2072|ionic|south|valve|77|held
1247|ember|west|rotor|43|held
1639|acme|west|gasket|31|shipped
2273|ionic|north|panel|55|shipped
1739|cobalt|west|rotor|97|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 61, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "rotor", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1071}}, {"tool": "cancel_order", "args": {"order_id": 1086}}, {"tool": "cancel_order", "args": {"order_id": 1130}}, {"tool": "cancel_order", "args": {"order_id": 1138}}, {"tool": "restock", "args": {"item": "cable", "qty": 78}}, {"tool": "cancel_order", "args": {"order_id": 1349}}, {"tool": "cancel_order", "args": {"order_id": 1375}}, {"tool": "cancel_order", "args": {"order_id": 1429}} ]
wrongagentic.tools.deploy-v1conf 100% · 639ms · $0.000 · 108 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
wrongagentic.tools.triage-v1conf 100% · 1.8s · $0.001 · 296 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 7)
2. "card declined at checkout" (category: payments, priority 7)
3. "uploads failing intermittently" (category: infra, priority 7)
4. "card declined at checkout" (category: payments, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.ledger-v1conf 100% · 1.5s · $0.001 · 228 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $680
- delta: $645
- lima: $418

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $230 from "bravo" to "delta"
2. pay $550 from "lima" to "delta"
3. pay $500 from "bravo" to "delta"
4. pay $402 from "delta" to "lima"
5. pay $401 from "bravo" 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": "bravo", "to": "delta", "amount": 230}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 550}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 50}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 500}}, {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 402}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 31}}, {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 401}} ]
wrongagentic.tools.context-load-v1anchorconf 100% · 2.9s · $0.002 · 133 tok
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "restock", "args": {"item": "rotor", "args": 75}}, {"tool": "cancel_order", "args": {"order_id": 1578}}, {"tool": "restock", "args": {"item": "valve", "qty": 67}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 3.1s · $0.000 · 108 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
wrongagentic.tools.ledger-v1anchorconf 100% · 591ms · $0.001 · 226 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 33}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
correctagentic.tools.triage-v1anchorconf 100% · 623ms · $0.001 · 265 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
code 13/30 correct
wrongcode.trace.js-v1conf 100% · 1.8s · $0.000 · 19 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 135
correctcode.trace.nested-v1conf 100% · 1.6s · $0.001 · 757 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) % 3 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 79
correctcode.trace.nested-v1conf 100% · 1.8s · $0.002 · 984 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 4 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: 425
wrongcode.trace.python-v1conf 100% · 1.3s · $0.000 · 18 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 35:
    if v % 3 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 28
wrongcode.trace.js-v1conf 100% · 776ms · $0.000 · 19 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 312
correctcode.trace.nested-v1conf 100% · 1.5s · $0.002 · 1172 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 385
wrongcode.trace.python-v1conf 99% · 4.9s · $0.000 · 17 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 75:
    if v % 7 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 66
wrongcode.trace.js-v1conf 100% · 1.4s · $0.000 · 19 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 140
correctcode.trace.python-v1conf 100% · 4.5s · $0.001 · 498 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 61:
    if v % 3 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48
correctcode.trace.nested-v1conf 100% · 1.8s · $0.001 · 558 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 72
wrongcode.trace.js-v1conf 100% · 1.8s · $0.000 · 19 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 210
correctcode.trace.nested-v1conf 100% · 2.6s · $0.001 · 602 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 107
wrongcode.trace.python-v1conf 100% · 1.8s · $0.000 · 18 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 15
while total + v <= 46:
    if v % 7 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 45
wrongcode.trace.js-v1conf 100% · 2.0s · $0.000 · 19 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 135
wrongcode.trace.python-v1conf 95% · 2.6s · $0.000 · 17 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 2
while total + v <= 69:
    if v % 7 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 60
wrongcode.trace.js-v1conf 100% · 5.0s · $0.000 · 19 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 105
correctcode.trace.nested-v1conf 100% · 855ms · $0.001 · 837 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 100% · 835ms · $0.001 · 747 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 134
wrongcode.trace.python-v1conf 100% · 2.7s · $0.000 · 18 tok
question
What does this Python program print?

```python
total = 0
v = 9
while total + v <= 107:
    if v % 5 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 54
correctcode.trace.js-v1conf 100% · 463ms · $0.000 · 19 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 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: 440
wrongcode.trace.python-v1conf 100% · 531ms · $0.000 · 18 tok
question
What does this Python program print?

```python
total = 0
v = 11
while total + v <= 87:
    if v % 5 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 72
wrongcode.trace.js-v1conf 100% · 979ms · $0.000 · 19 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 105
correctcode.trace.nested-v1conf 100% · 1.3s · $0.001 · 698 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 247
correctcode.trace.nested-v1conf 100% · 3.4s · $0.002 · 1111 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 198
wrongcode.trace.python-v1conf 100% · 2.6s · $0.000 · 18 tok
question
What does this Python program print?

```python
total = 0
v = 10
while total + v <= 59:
    if v % 5 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 37
wrongcode.trace.js-v1conf 100% · 1.4s · $0.000 · 19 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 5)
  .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: 160
correctcode.trace.python-v1anchorconf 100% · 690ms · $0.001 · 826 tok
model answer: 0
correctcode.trace.nested-v1anchorconf 100% · 1.7s · $0.001 · 782 tok
model answer: 283
wrongcode.trace.js-v1anchorconf 100% · 685ms · $0.000 · 18 tok
model answer: 42
wrongcode.trace.python-v1anchorconf 100% · 1.7s · $0.000 · 18 tok
model answer: 42
instruction following 14/30 correct
wrongif.constraints.stack-v1conf 100% · 1.3s · $0.000 · 57 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "tundra" and the last word must be "zephyr".
3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra lights fade as neon signs drift, shadows drift soft on wet streets, a lone zephyr.
correctif.format.acronym-v1conf 100% · 4.0s · $0.000 · 20 tok
question
Take the first letter of each of these words, in order: basalt, quartz, echo, orbit, cedar, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BQEOCF
correctif.format.repeat-v1conf 100% · 5.1s · $0.000 · 56 tok
question
Write the word "orbit" in capitalized form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ORBIT/ORBIT/ORBIT/ORBIT/ORBIT/ORBIT/ORBIT
wrongif.constraints.stack-v1conf 100% · 1.9s · $0.000 · 50 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "flint" and the last word must be "prism".
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: flint waves crash on quartz sand, deep blue quartz glows under sun’s prism
wrongif.format.acronym-v1conf 100% · 2.1s · $0.000 · 18 tok
question
Take the second letter of each of these words, in order: echo, comet, orbit, 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: HMRB
correctif.format.repeat-v1conf 100% · 2.3s · $0.000 · 45 tok
question
Write the word "tundra" in lowercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra/tundra/tundra/tundra/tundra
wrongif.constraints.stack-v1conf 100% · 2.5s · $0.000 · 53 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "quartz" and the last word must be "ember".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz through prism’s glow, steps prism, light bends, prism fades to ember
wrongif.constraints.stack-v1conf 100% · 5.4s · $0.000 · 87 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "tundra" and the last word must be "zephyr".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra stretched endlessly, falcon soared high, winds whispered tales. days blurred, nights cold, falcon danced on air. finally, a gentle zephyr.
correctif.format.repeat-v1conf 100% · 4.7s · $0.000 · 23 tok
question
Write the word "basalt" 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: BASALT/BASALT/BASALT
wrongif.format.acronym-v1conf · 2.7s · $0.000 · 18 tok
question
Take the third letter of each of these words, in order: comet, tundra, delta, 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: MERA
wrongif.format.acronym-v1conf 100% · 1.7s · $0.000 · 18 tok
question
Take the second letter of each of these words, in order: lumen, falcon, zephyr, comet, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: UEAEA
correctif.format.repeat-v1conf 100% · 1.8s · $0.000 · 46 tok
question
Write the word "prism" in capitalized 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: PRISM-PRISM-PRISM-PRISM
wrongif.constraints.stack-v1conf 100% · 1.9s · $0.000 · 61 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "orbit" and the last word must be "ember".
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: orbit chills flint the dawn, flint air bites, frost’s flint glows—soft ember
correctif.format.acronym-v1conf 100% · 1.5s · $0.000 · 18 tok
question
Take the first letter of each of these words, in order: echo, lumen, delta, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ELDF
correctif.format.repeat-v1conf 100% · 2.0s · $0.000 · 62 tok
question
Write the word "comet" in capitalized form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: COMET-COMET-COMET-COMET-COMET-COMET-COMET-COMET
wrongif.constraints.stack-v1conf 100% · 2.0s · $0.000 · 49 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "lumen" and the last word must be "orbit".
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: lumen dances where comet waves kiss the shore, comet tides pull stars to orbit
wrongif.format.acronym-v1conf 100% · 2.0s · $0.000 · 18 tok
question
Take the third letter of each of these words, in order: lumen, prism, ember, delta, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NEEDT
correctif.format.repeat-v1conf 100% · 2.7s · $0.000 · 52 tok
question
Write the word "nova" in capitalized form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NOVA-NOVA-NOVA-NOVA-NOVA-NOVA-NOVA-NOVA-NOVA
wrongif.constraints.stack-v1conf 100% · 4.3s · $0.000 · 104 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "flint" and the last word must be "lumen".
3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint creaks, a zephyr stirs its rusted bones. gears groan, whispering tales to the zephyr. dust dances, time fades—yet the zephyr lingers, breathing life into lumen.
correctif.format.acronym-v1conf 100% · 4.7s · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: comet, tundra, cedar, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CTCN
correctif.format.repeat-v1conf 100% · 1.4s · $0.000 · 34 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
wrongif.constraints.stack-v1conf 100% · 2.0s · $0.000 · 63 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "comet" and the last word must be "prism".
3. Use the word "zephyr" 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 glows soft, frost whispers as zephyr dances, dawn’s zephyr paints ice in light’s prism
wrongif.format.acronym-v1conf 100% · 3.0s · $0.000 · 19 tok
question
Take the second letter of each of these words, in order: nova, delta, tundra, drift, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OUUIE
wrongif.constraints.stack-v1conf 100% · 520ms · $0.000 · 77 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "comet" and the last word must be "nova".
3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet hums softly, rusted gears turn under cedar dust, its cedar frame groans—time’s whisper fades into a fading nova.
correctif.format.repeat-v1conf 100% · 1.7s · $0.000 · 23 tok
question
Write the word "orbit" 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: ORBIT-ORBIT-ORBIT
wrongif.constraints.stack-v1anchorconf 100% · 1.1s · $0.000 · 99 tok
model answer: drift through neon veins, lumen pulses paint the streets in gold. lumen whispers rise, a symphony of shadows. stars blink—lumen echoes fade. silence hums, then the city finds its orbit.
wrongif.format.acronym-v1conf 100% · 495ms · $0.000 · 19 tok
question
Take the third letter of each of these words, in order: drift, ember, nova, quartz, 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: FNRQH
correctif.format.repeat-v1anchorconf 100% · 568ms · $0.000 · 48 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 1.3s · $0.000 · 45 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 1.2s · $0.000 · 18 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 2.0s · $0.000 · 16 tok
question
Identify the capital of Australia.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 2.0s · $0.000 · 16 tok
question
Identify the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 2.7s · $0.000 · 16 tok
question
Name the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 2.6s · $0.000 · 17 tok
question
Name the Brazilian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 5.6s · $0.000 · 17 tok
question
Identify 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% · 5.2s · $0.000 · 16 tok
question
What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 16 tok
question
Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 18 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% · 2.1s · $0.000 · 18 tok
question
Name the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 20 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 100% · 819ms · $0.000 · 18 tok
question
What is the chemical element with symbol Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 855ms · $0.000 · 17 tok
question
Name the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 552ms · $0.000 · 16 tok
question
Identify the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 1.8s · $0.000 · 21 tok
question
What is 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 100% · 1.4s · $0.000 · 21 tok
question
Identify the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 999ms · $0.000 · 16 tok
question
Name the element whose symbol is Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 427ms · $0.000 · 18 tok
question
What is the chemical element with symbol Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 480ms · $0.000 · 16 tok
question
Identify the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 535ms · $0.000 · 16 tok
question
What is the Swiss capital (de facto)?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 2.2s · $0.000 · 21 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 100% · 2.2s · $0.000 · 16 tok
question
What is the capital of Kazakhstan?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 3.2s · $0.000 · 18 tok
question
Name 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% · 931ms · $0.000 · 16 tok
question
What is the Canadian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 20 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 100% · 1.6s · $0.000 · 16 tok
question
What is the capital of Australia?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 450ms · $0.000 · 16 tok
question
What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 597ms · $0.000 · 17 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 553ms · $0.000 · 16 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 455ms · $0.000 · 18 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 452ms · $0.000 · 16 tok
model answer: Lead
math 13/30 correct
correctmath.counterfactual.base-v1conf 100% · 3.9s · $0.000 · 197 tok
question
Work strictly in base 8. Add the base-8 numbers 2511 and 3026. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 5537
wrongmath.chained.pipeline-v1conf 100% · 1.8s · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 31 × 68.
Step 2: Q = P × 3 − 163.
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: 1039
correctmath.percent.chain-v2conf 100% · 2.0s · $0.000 · 156 tok
question
An inventory starts at 7000 units. Each pallet weighs about 21 grams more when wet. In the first month the inventory grows by 33%. Each pallet weighs about 18 grams more when wet. The next month it shrinks by 18%, and the month after it grows by 30%. 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: 9924.46
correctmath.algebra.system-v2conf 100% · 1.6s · $0.000 · 229 tok
question
Solve the system, then answer the derived question.

7x + 4y = 54
9x − 4y = -278

What is the value of 2x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -142
correctmath.counterfactual.base-v1conf 100% · 2.5s · $0.001 · 355 tok
question
Work strictly in base 7. Add the base-7 numbers 3225 and 10612. 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: 14140
wrongmath.arith.chain-v2conf 100% · 1.5s · $0.000 · 22 tok
question
Evaluate the expression below and give the result.

(((94 × 57 − 627) × 4 + 6690) − 98 × 28) × 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: 102000
wrongmath.chained.pipeline-v1conf 100% · 2.6s · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 64 × 69.
Step 2: Q = P × 3 − 745.
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: 1886
correctmath.algebra.system-v2conf 100% · 5.6s · $0.000 · 189 tok
question
Solve the system, then answer the derived question.

2x + 4y = 64
4x − 7y = -322

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: -234
wrongmath.percent.chain-v2conf 100% · 2.6s · $0.000 · 24 tok
question
An inventory starts at 62000 units. The warehouse was painted 50 years ago. In the first month the inventory grows by 23%. The delivery van has a 4-liter fuel tank. The next month it shrinks by 9%, and the month after it grows by 16%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 78683.36
wrongmath.arith.chain-v2conf 100% · 4.3s · $0.000 · 21 tok
question
Compute the value of the following expression.

(((67 × 97 − 981) × 5 + 2524) − 84 × 22) × 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: 10000
correctmath.counterfactual.base-v1conf 100% · 461ms · $0.000 · 256 tok
question
Work strictly in base 8. Add the base-8 numbers 404 and 4354. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4760
wrongmath.chained.pipeline-v1conf 100% · 1.4s · $0.000 · 19 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 24 × 71.
Step 2: Q = P × 9 − 587.
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: 213
wrongmath.percent.chain-v2conf 100% · 1.9s · $0.000 · 24 tok
question
An inventory starts at 61000 units. The delivery van has a 154-liter fuel tank. In the first month the inventory grows by 5%. The warehouse was painted 89 years ago. The next month it shrinks by 43%, and the month after it grows by 17%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 54022.65
correctmath.algebra.system-v2conf 100% · 980ms · $0.000 · 210 tok
question
Solve the system, then answer the derived question.

7x + 5y = 122
3x − 5y = 138

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: 154
correctmath.counterfactual.base-v1conf 100% · 2.3s · $0.001 · 520 tok
question
Work strictly in base 8. Multiply the base-8 numbers 37 and 103. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4035
correctmath.arith.chain-v2conf 100% · 685ms · $0.000 · 287 tok
question
Calculate the following. Show your reasoning, then answer.

(((29 × 48 − 744) × 6 + 4359) − 93 × 67) × 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: 10080
wrongmath.chained.pipeline-v1conf 100% · 518ms · $0.000 · 20 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 43 × 59.
Step 2: Q = P × 7 − 520.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4436
correctmath.percent.chain-v2conf 100% · 673ms · $0.000 · 158 tok
question
An inventory starts at 2000 units. A rival firm shipped 44 unrelated parcels the same week. In the first month the inventory grows by 22%. The warehouse was painted 23 years ago. The next month it shrinks by 9%, and the month after it grows by 41%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3130.76
wrongmath.algebra.system-v2conf 100% · 1.1s · $0.000 · 29 tok
question
Solve the system, then answer the derived question.

3x + 9y = -42
7x − 2y = -167

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: -44
correctmath.counterfactual.base-v1conf 100% · 583ms · $0.001 · 393 tok
question
Work strictly in base 13. Add the base-13 numbers 3AA and 11C5. 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: 15A2
wrongmath.arith.chain-v2conf 100% · 461ms · $0.000 · 21 tok
question
Evaluate the expression below and give the result.

(((48 × 31 − 160) × 5 + 8615) − 52 × 35) × 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: 68600
wrongmath.chained.pipeline-v1conf 100% · 775ms · $0.000 · 19 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 32 × 16.
Step 2: Q = P × 8 − 890.
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: 571
wrongmath.percent.chain-v2conf 100% · 955ms · $0.000 · 25 tok
question
An inventory starts at 83000 units. A rival firm shipped 93 unrelated parcels the same week. In the first month the inventory grows by 43%. A rival firm shipped 81 unrelated parcels the same week. The next month it shrinks by 15%, and the month after it grows by 12%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 113218.26
wrongmath.algebra.system-v2conf 100% · 2.8s · $0.000 · 29 tok
question
Solve the system, then answer the derived question.

4x + 7y = -76
6x − 4y = -172

What is the value of 2x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -28
wrongmath.arith.chain-v2conf 100% · 2.8s · $0.000 · 21 tok
question
Compute the value of the following expression.

(((94 × 43 − 929) × 3 + 2007) − 68 × 39) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10000
correctmath.counterfactual.base-v1anchorconf 100% · 812ms · $0.001 · 326 tok
model answer: 11236
wrongmath.chained.pipeline-v1conf 100% · 3.6s · $0.000 · 19 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 16 × 29.
Step 2: Q = P × 6 − 939.
Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 773
correctmath.algebra.system-v2anchorconf 100% · 731ms · $0.000 · 215 tok
model answer: 87
wrongmath.percent.chain-v2anchorconf 100% · 1.1s · $0.000 · 24 tok
model answer: 61966.26
wrongmath.arith.chain-v2anchorconf 100% · 758ms · $0.000 · 22 tok
model answer: 204000
multilingual 30/30 correct
correctmultilingual.numword-v2conf 100% · 1.7s · $0.000 · 19 tok
question
Compute 284 + 61, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent quarante-cinq
correctmultilingual.wordnum-v1conf 100% · 1.7s · $0.000 · 19 tok
question
A number is written in French: « cent quatre-vingt-treize ». Another is written in Spanish: « seiscientos cincuenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 849
correctmultilingual.wordnum-v1conf 100% · 1.7s · $0.000 · 20 tok
question
A number is written in French: « huit cent soixante-douze ». Another is written in Spanish: « ciento noventa y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1068
correctmultilingual.numword-v2conf 100% · 1.8s · $0.000 · 19 tok
question
Compute 84 + 266, 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
correctmultilingual.wordnum-v1conf 100% · 1.8s · $0.000 · 20 tok
question
A number is written in French: « cinq cent cinquante-quatre ». Another is written in Spanish: « ochocientos sesenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1422
correctmultilingual.numword-v2conf 100% · 1.8s · $0.000 · 18 tok
question
Compute 72 + 84, 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: cent cinquante-six
correctmultilingual.numword-v2conf 100% · 1.8s · $0.000 · 19 tok
question
Compute 324 + 321, 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 quarante-cinq
correctmultilingual.wordnum-v1conf 100% · 1.8s · $0.000 · 20 tok
question
A number is written in French: « six cent cinq ». Another is written in Spanish: « novecientos 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: 1509
correctmultilingual.wordnum-v1conf 100% · 1.7s · $0.000 · 20 tok
question
A number is written in French: « cinq cent cinquante-cinq ». Another is written in Spanish: « novecientos ochenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1538
correctmultilingual.numword-v2conf 100% · 2.0s · $0.000 · 21 tok
question
Compute 388 + 184, 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 setenta y dos
correctmultilingual.numword-v2conf 100% · 2.6s · $0.000 · 20 tok
question
Compute 98 + 101, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ciento noventa y nueve
correctmultilingual.wordnum-v1conf 100% · 766ms · $0.000 · 19 tok
question
A number is written in French: « trois cent trente-sept ». Another is written in Spanish: « trescientos veintisiete ». 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: 664
correctmultilingual.numword-v2conf 100% · 4.3s · $0.000 · 27 tok
question
Compute 95 + 334, 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 100% · 1.9s · $0.000 · 20 tok
question
A number is written in French: « six cent trente ». Another is written in Spanish: « seiscientos treinta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1261
correctmultilingual.numword-v2conf 100% · 1.4s · $0.000 · 20 tok
question
Compute 496 + 147, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: six cent quarante-trois
correctmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 19 tok
question
A number is written in French: « cinq cent soixante-quatorze ». Another is written in Spanish: « ciento cuarenta y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 426
correctmultilingual.wordnum-v1conf 100% · 498ms · $0.000 · 19 tok
question
A number is written in French: « six cent quatre-vingt-huit ». Another is written in Spanish: « trescientos cuarenta y dos ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 346
correctmultilingual.numword-v2conf 100% · 1.7s · $0.000 · 19 tok
question
Compute 119 + 228, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent quarante-sept
correctmultilingual.wordnum-v1conf 100% · 1.8s · $0.000 · 18 tok
question
A number is written in French: « neuf cent quarante-deux ». Another is written in Spanish: « ochocientos ochenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 56
correctmultilingual.numword-v2conf 100% · 855ms · $0.000 · 21 tok
question
Compute 62 + 224, 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-six
correctmultilingual.wordnum-v1conf 100% · 855ms · $0.000 · 20 tok
question
A number is written in French: « deux cent soixante-seize ». Another is written in Spanish: « ochocientos setenta 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: 1147
correctmultilingual.numword-v2conf 100% · 524ms · $0.000 · 21 tok
question
Compute 323 + 245, 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 sesenta y ocho
correctmultilingual.wordnum-v1conf 100% · 564ms · $0.000 · 20 tok
question
A number is written in French: « cent vingt-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: 1019
correctmultilingual.numword-v2conf 100% · 483ms · $0.000 · 22 tok
question
Compute 164 + 328, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos noventa y dos
correctmultilingual.wordnum-v1conf 100% · 2.0s · $0.000 · 20 tok
question
A number is written in French: « huit cent un ». Another is written in Spanish: « doscientos sesenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1064
correctmultilingual.numword-v2conf 100% · 1.2s · $0.000 · 19 tok
question
Compute 165 + 102, 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 soixante-sept
correctmultilingual.numword-v2anchorconf 100% · 669ms · $0.000 · 22 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 501ms · $0.000 · 19 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 100% · 2.4s · $0.000 · 19 tok
model answer: seiscientos ocho
correctmultilingual.wordnum-v1anchorconf 100% · 2.4s · $0.000 · 19 tok
model answer: 762
reasoning 17/30 correct
wrongreasoning.deduction.position-v1conf 100% · 475ms · $0.000 · 51 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Quinn. Quinn is number 3 in the queue. Mona is directly ahead of Rosa. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tom
correctreasoning.deduction.order-v2conf 95% · 568ms · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Rosa. Nadir is taller than Rosa. Tessa is taller than Priya. Nadir is taller than Priya. Kira is taller than Chen. Chen is taller than Quinn. Priya is taller than Rosa. Alice is faster than everyone here, but Alice is not being ranked. Tessa is taller than Nadir. Quinn is taller than Tessa. 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.position-v1conf 100% · 611ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Nadir. Goran is number 1 in the queue. Nadir is directly ahead of Alice. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
wrongreasoning.deduction.order-v2conf 95% · 2.1s · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Nadir is faster than everyone here, but Nadir is not being ranked. Goran is taller than Ola. Kira is taller than Jonas. Sami is taller than Goran. Jonas is taller than Ola. Emil is taller than Ola. Goran is taller than Emil. Kira is taller than Dara. Dara is taller than Jonas. Emil is taller than Kira. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
correctreasoning.deduction.position-v1conf 100% · 2.2s · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Dara. Dara is directly ahead of Emil. Jonas is number 4 in the queue. Emil is directly ahead of Jonas. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
wrongreasoning.deduction.order-v2conf 95% · 733ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Bruno. Ines is faster than everyone here, but Ines is not being ranked. Kira is taller than Priya. Ola is taller than Farah. Nadir is taller than Priya. Farah is taller than Kira. Ola is taller than Nadir. Bruno is taller than Priya. Rosa is taller than Nadir. Bruno is taller 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: Ola
wrongreasoning.deduction.order-v2conf 95% · 2.3s · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Emil. Tessa is older than Bruno. Goran is older than Tessa. Tessa is older than Hana. Tessa is older than Nadir. Emil is older than Bruno. Rosa is faster than everyone here, but Rosa is not being ranked. Emil is older than Goran. Bruno is older than Hana. Hana is older than Nadir. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.position-v1conf 100% · 935ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Tessa. Kira is number 4 in the queue. Tessa is directly ahead of Priya. Priya is directly ahead of Kira. 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.position-v1conf 100% · 1.2s · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 1 in the queue. Kira is directly ahead of Farah. Mona is directly ahead of Kira. 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: Farah
wrongreasoning.deduction.order-v2conf 95% · 442ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Quinn is older than everyone here, but Quinn is not being ranked. Emil is faster than Farah. Dara is faster than Sami. Rosa is faster than Goran. Mona is faster than Sami. Goran is faster than Dara. Mona is faster than Rosa. Farah is faster than Dara. Farah is faster than Mona. Farah is faster than Sami. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.position-v1conf 100% · 447ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Ines. Sami is number 1 in the queue. Ines is directly ahead of Liam. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 462ms · $0.000 · 16 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Hana. Alice is heavier than Ola. Mona is older than everyone here, but Mona is not being ranked. Emil is heavier than Alice. Emil is heavier than Rosa. Hana is heavier than Rosa. Chen is heavier than Emil. Alice is heavier than Hana. Kira is heavier than Rosa. Hana is heavier than Kira. 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: Alice
correctreasoning.deduction.position-v1conf 100% · 488ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 3 in the queue. Kira is directly ahead of Bruno. Alice is directly ahead of Kira. 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: Alice
correctreasoning.deduction.position-v1conf 100% · 636ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Tessa. Mona is number 1 in the queue. Tessa is directly ahead of Nadir. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
wrongreasoning.deduction.order-v2conf 95% · 449ms · $0.000 · 15 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Tessa. Jonas is heavier than Mona. Alice is heavier than Goran. Alice is heavier than Kira. Tessa is heavier than Quinn. Quinn is heavier than Jonas. Hana is taller than everyone here, but Hana is not being ranked. Kira is heavier than Goran. Quinn is heavier than Mona. Mona is heavier than Goran. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
wrongreasoning.deduction.position-v1conf 100% · 652ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 3 in the queue. Jonas is directly ahead of Goran. Goran is directly ahead of Chen. 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: Jonas
wrongreasoning.deduction.order-v2conf 95% · 594ms · $0.000 · 16 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Ola. Ola is heavier than Goran. Dara is heavier than Ines. Tessa is faster than everyone here, but Tessa is not being ranked. Nadir is heavier than Goran. Hana is heavier than Nadir. Jonas is heavier than Dara. Ola is heavier than Hana. Jonas is heavier than Ines. Dara is heavier than Hana. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
wrongreasoning.deduction.order-v2conf 90% · 913ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Quinn is taller than Dara. Quinn is taller than Rosa. Jonas is taller than Tessa. Hana is older than everyone here, but Hana is not being ranked. Dara is taller than Alice. Jonas is taller than Rosa. Jonas is taller than Tessa. Liam is taller than Tessa. Rosa is taller than Liam. Alice is taller than Jonas. 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: Dara
correctreasoning.deduction.position-v1conf 100% · 1.0s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 3 in the queue. Farah is directly ahead of Emil. Emil is directly ahead of Jonas. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
wrongreasoning.deduction.order-v2conf 95% · 2.8s · $0.000 · 15 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Alice. Sami is taller than everyone here, but Sami is not being ranked. Ines is heavier than Bruno. Priya is heavier than Ines. Jonas is heavier than Goran. Alice is heavier than Rosa. Bruno is heavier than Goran. Rosa is heavier than Jonas. Priya is heavier than Rosa. Ines is heavier than Jonas. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1conf 100% · 2.8s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Farah. Farah is directly ahead of Chen. Kira 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: Kira
wrongreasoning.deduction.order-v2conf 90% · 2.7s · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Ola. Priya is older than Jonas. Ola is older than Sami. Sami is older than Goran. Dara is older than Jonas. Goran is older than Priya. Goran is older than Jonas. Ola is older than Jonas. Tessa is faster than everyone here, but Tessa is not being ranked. Priya is older than Dara. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 2.3s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 1 in the queue. Rosa is directly ahead of Mona. Mona is directly ahead of Hana. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 95% · 1.1s · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Dara. Quinn is taller than Chen. Goran is taller than Chen. Jonas is taller than Tessa. Tessa is taller than Quinn. Tessa is taller than Chen. Quinn is taller than Chen. Dara is taller than Nadir. Quinn is taller than Goran. Liam is faster than everyone here, but Liam is not being ranked. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.position-v1conf 100% · 467ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Emil. Emil is number 2 in the queue. Alice is directly ahead of Tessa. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.order-v2conf 90% · 442ms · $0.000 · 15 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Sami. Jonas is heavier than Ines. Chen is heavier than Ines. Tessa is heavier than Ines. Chen is heavier than Tessa. Sami is heavier than Mona. Jonas is heavier than Chen. Chen is heavier than Ines. Mona is heavier than Jonas. Hana is taller than everyone here, but Hana is not being ranked. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.order-v2anchorconf 95% · 590ms · $0.000 · 15 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 495ms · $0.000 · 16 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 724ms · $0.000 · 17 tok
model answer: Farah
wrongreasoning.deduction.order-v2anchorconf 95% · 662ms · $0.000 · 16 tok
model answer: Priya
terminal 10/30 correct
wrongterminal.fs.tree-v1conf 95% · 1.4s · $0.000 · 44 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/draft.cfg
/proj/build/util.cfg
/proj/conf/todo.txt
/proj/main.cfg
/proj/notes.cfg
```

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

```sh
mv main.cfg docs/
cd build
mv ../../proj/docs/main.cfg ../../proj/docs/setup-3.txt
cd ../../proj/docs
rm setup-3.txt
cd ../../proj
rm build/draft.cfg
mkdir -p src-2
mkdir -p build/build-5
cd 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: (none extracted)
correctterminal.exit.chain-v1conf 100% · 1.3s · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

`notes.txt` contains exactly the words: dune, coral (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
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: A C E Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 1.4s · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,sales,52,88
ivy,ops,116,68
lou,sales,112,73
max,ops,90,96
ana,legal,64,79
fay,hr,65,36
ned,sales,114,73
dev,legal,50,63
eli,eng,111,28
pam,hr,65,40
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
wrongterminal.exit.chain-v1conf 100% · 1.5s · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E H exit:0
wrongterminal.fs.tree-v1conf 100% · 786ms · $0.000 · 60 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/src`):

```
/proj/docs/report.md
/proj/docs/todo.log
/proj/draft.cfg
/proj/notes.log
/proj/src/index.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.log
mv draft.cfg docs/
cd src
touch ../../proj/build/index-3.txt
touch todo-9.md
mv index.log todo-5.txt
mv ../../proj/docs/draft.cfg ../../proj/docs/util-6.log
cp ../../proj/docs/todo.log ../../proj/build/
mv ../../proj/build/index-3.txt ../../proj/build/main-6.txt
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 853ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,eng,80,52
eli,legal,116,80
dev,legal,111,92
oli,sales,28,91
pam,sales,62,67
lou,sales,94,13
cy,eng,46,87
bo,ops,6,83
kim,hr,112,42
gus,legal,100,45
ana,sales,17,23
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 53 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
wrongterminal.fs.tree-v1conf 95% · 1.0s · $0.000 · 75 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/logs`):

```
/proj/logs/draft.cfg
/proj/logs/notes.cfg
/proj/main.txt
/proj/setup.cfg
/proj/src/todo.txt
```

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

```sh
mv src/todo.txt src/util-4.md
cd src
mkdir -p conf-4
cd .
mkdir -p ../../proj/logs/assets-3
cd ../../proj/logs
mkdir -p assets-3/conf-5
cd ../../proj/assets
cd ../../proj/logs/assets-3/conf-5
cp ../../../../proj/setup.cfg ../../../../proj/src/conf-4/
touch ../../../../proj/notes-6.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 564ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C Z F H exit:0
correctterminal.pipeline.predict-v1conf 100% · 886ms · $0.000 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,hr,113,82
lou,eng,101,84
jon,eng,94,57
ana,hr,94,19
gus,sales,97,84
bo,legal,108,38
hal,legal,31,41
max,sales,84,25
cy,hr,18,89
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 139
wrongterminal.fs.tree-v1conf 95% · 528ms · $0.000 · 88 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/docs`):

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

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

```sh
mkdir -p build/assets-3
mv build/index.txt build/report-3.md
mkdir -p docs/assets-2
mkdir -p docs/assets-2/assets-3
touch docs/assets-2/assets-3/main-2.txt
mkdir -p docs/assets-2/assets-3/assets-2
cp docs/assets-2/assets-3/main-2.txt logs/
cd build/assets-3
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 100% · 441ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F H Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 994ms · $0.000 · 27 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,legal,51,95
dev,legal,114,82
kim,ops,32,28
jon,ops,33,43
max,eng,70,74
oli,ops,84,83
cy,hr,94,30
lou,eng,93,23
ana,hr,70,68
fay,sales,49,67
ned,legal,94,91
pam,sales,59,74
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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: jon,33 kim,32 oli,84
wrongterminal.exit.chain-v1conf 100% · 2.2s · $0.000 · 24 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
test -f tmp.txt && echo A || echo B
grep -q dune notes.txt && echo C || echo D
test -f ghost.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: B D F G exit:0
wrongterminal.fs.tree-v1conf 99% · 715ms · $0.000 · 93 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/assets`):

```
/proj/assets/draft.cfg
/proj/conf/report.txt
/proj/conf/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
mkdir -p docs-2
cd .
mkdir -p build/conf-1
cd .
touch docs-2/todo-6.log
rm todo.md
mkdir -p build/build-5
mkdir -p docs-2/assets-8
mkdir -p docs-2/assets-8/assets-4
mv notes.cfg util-6.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 1.1s · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,legal,64,67
ned,sales,71,19
bo,legal,57,95
cy,legal,6,16
oli,sales,13,84
gus,ops,93,82
kim,hr,75,89
max,sales,57,20
eli,legal,93,12
ivy,legal,57,56
jon,ops,44,22
ana,hr,4,88
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 48 { 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: 4
correctterminal.exit.chain-v1conf 100% · 1.3s · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F H Z exit:0
wrongterminal.fs.tree-v1conf 95% · 458ms · $0.000 · 76 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/docs`):

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

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

```sh
mv todo.txt report-9.cfg
cp build/draft.cfg docs/
cd docs
touch ../../proj/main-6.txt
cd ../../proj/logs
touch ../../proj/build/setup-3.md
cd ../../proj
mv main.md ./
mkdir -p docs-3
mv build/setup-3.md ./
touch main-5.cfg
cd build
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.pipeline.predict-v1conf 100% · 617ms · $0.000 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,ops,75,69
bo,sales,10,37
gus,hr,120,90
max,ops,110,21
dev,sales,5,41
hal,ops,60,23
ivy,ops,17,85
ana,hr,30,86
eli,ops,68,39
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 150
correctterminal.exit.chain-v1conf 100% · 432ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
grep -q dune notes.txt && echo C || echo D
test -f tmp.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 C F Z exit:0
wrongterminal.fs.tree-v1conf 100% · 757ms · $0.000 · 33 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/logs`):

```
/proj/build/index.txt
/proj/setup.txt
/proj/src/draft.md
/proj/src/notes.cfg
/proj/todo.log
```

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

```sh
rm build/index.txt
cp src/notes.cfg build/
cd build
rm notes.cfg
touch ../../proj/draft-3.txt
cp ../../proj/todo.log ./
cd ../../proj
rm setup.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 492ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,ops,54,28
ivy,eng,25,34
hal,legal,116,37
lou,eng,108,66
fay,eng,64,53
dev,hr,69,90
oli,sales,6,79
cy,eng,56,27
eli,eng,51,95
kim,ops,55,37
max,eng,54,68
jon,hr,120,46
pam,hr,28,76
ana,hr,6,92
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 68 { 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: 2
wrongterminal.exit.chain-v1conf 100% · 762ms · $0.000 · 22 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

```sh
grep -q coral notes.txt && echo A || echo B
false && echo C || echo D
true && 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 E exit:0
wrongterminal.fs.tree-v1conf 95% · 422ms · $0.000 · 59 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/src`, `/proj/docs`):

```
/proj/assets/todo.log
/proj/docs/notes.md
/proj/draft.log
/proj/src/setup.txt
/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
mkdir -p assets/assets-7
touch docs/notes-4.txt
cd assets
rm ../../proj/util.txt
touch assets-7/notes-4.log
mv ../../proj/docs/notes-4.txt ./
touch ../../proj/docs/index-7.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.pipeline.predict-v1conf 100% · 906ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,legal,100,75
ana,eng,47,58
dev,eng,53,13
lou,legal,78,24
max,eng,58,20
pam,sales,75,48
kim,legal,53,24
fay,legal,28,62
jon,legal,14,20
eli,eng,33,74
ivy,ops,108,77
oli,legal,31,73
cy,sales,110,87
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 73 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
wrongterminal.fs.tree-v1conf 100% · 2.7s · $0.000 · 48 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/conf`):

```
/proj/conf/index.txt
/proj/conf/setup.txt
/proj/draft.log
/proj/logs/notes.log
/proj/main.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 main.log
rm logs/notes.log
touch setup-4.md
touch draft-1.txt
mkdir -p assets/logs-1
mv draft.log util-8.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 2.3s · $0.000 · 22 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f tmp.txt && 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:0
wrongterminal.pipeline.predict-v1anchorconf 100% · 1.4s · $0.000 · 43 tok
model answer: cy,eng,115,45 dev,eng,81,95 max,eng,43,64
wrongterminal.exit.chain-v1anchorconf 100% · 3.3s · $0.000 · 24 tok
model answer: B D E G exit:0
wrongterminal.fs.tree-v1anchorconf 95% · 679ms · $0.000 · 82 tok
model answer: (none extracted)
correctterminal.pipeline.predict-v1anchorconf 100% · 681ms · $0.000 · 14 tok
model answer: 1
vision ocr 28/30 correct
correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 18 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: 44
correctvision.ocr.code-hunt-v1conf 95% · 1.3s · $0.000 · 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: XJAW3EDA
correctvision.ocr.code-hunt-v1conf 99% · 4.0s · $0.000 · 21 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: 9JVVHFN
correctvision.ocr.table-read-v1conf 100% · 1.5s · $0.000 · 18 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: 39
correctvision.ocr.table-read-v1conf 100% · 1.8s · $0.000 · 18 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: 74
correctvision.ocr.code-hunt-v1conf 95% · 1.0s · $0.000 · 20 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: MVDKED93
correctvision.ocr.table-read-v1conf 100% · 1.4s · $0.000 · 19 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: 164
correctvision.ocr.code-hunt-v1conf 95% · 1.8s · $0.000 · 21 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: 9VJH3K
correctvision.ocr.table-read-v1conf 100% · 4.7s · $0.000 · 19 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: 178
correctvision.ocr.code-hunt-v1conf 95% · 5.1s · $0.000 · 17 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: AVUMFN
correctvision.ocr.code-hunt-v1conf 95% · 2.5s · $0.000 · 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: MYFXDCA
correctvision.ocr.table-read-v1conf 100% · 2.1s · $0.000 · 19 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 220
correctvision.ocr.code-hunt-v1conf 95% · 2.6s · $0.000 · 19 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: JP7Y9CC
correctvision.ocr.table-read-v1conf 100% · 1.7s · $0.000 · 18 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: 61
correctvision.ocr.table-read-v1conf 100% · 5.2s · $0.000 · 19 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: 137
correctvision.ocr.code-hunt-v1conf 95% · 4.7s · $0.000 · 20 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: YH94F7
wrongvision.ocr.code-hunt-v1conf 95% · 3.0s · $0.000 · 19 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: VJTRXP
correctvision.ocr.table-read-v1conf 100% · 4.0s · $0.000 · 18 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: 41
correctvision.ocr.table-read-v1conf 100% · 2.0s · $0.000 · 19 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: 215
correctvision.ocr.code-hunt-v1conf 95% · 2.0s · $0.000 · 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: W4DCA39
correctvision.ocr.table-read-v1conf 100% · 2.8s · $0.000 · 18 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 85
wrongvision.ocr.code-hunt-v1conf 95% · 1.9s · $0.000 · 21 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: 3JKN34F
correctvision.ocr.table-read-v1conf 100% · 2.5s · $0.000 · 18 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: 44
correctvision.ocr.code-hunt-v1conf 95% · 6.7s · $0.000 · 19 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: UMUW3UC
correctvision.ocr.table-read-v1conf 100% · 6.2s · $0.000 · 19 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: 167
correctvision.ocr.code-hunt-v1conf 95% · 2.0s · $0.000 · 19 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: EMD7AJK
correctvision.ocr.table-read-v1anchorconf 100% · 2.2s · $0.000 · 18 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 99% · 2.6s · $0.000 · 21 tok
model answer: VX7993D
correctvision.ocr.code-hunt-v1anchorconf 95% · 2.4s · $0.000 · 21 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 100% · 2.0s · $0.000 · 18 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit508
  • 2026-08-05v0.2.0index_fit508
  • 2026-08-05v0.2.0index_fit508
  • 2026-08-05v0.2.0index_fit508
  • 2026-08-05v0.2.0index_fit510
  • 2026-08-05v0.2.0index_fit510
  • 2026-08-05v0.2.0index_fit513
  • 2026-08-05v0.2.0index_fit514
  • 2026-08-05v0.2.0index_fit516
  • 2026-08-05v0.2.0index_fit517
  • 2026-08-05v0.2.0index_fit519
  • 2026-08-05v0.2.0index_fit520
  • 2026-08-05v0.2.0index_fit517
  • 2026-08-05v0.2.0index_fit516
  • 2026-08-05v0.2.0index_fit516
  • 2026-08-05v0.2.0index_fit517
  • 2026-08-05v0.2.0index_fit518
  • 2026-08-05v0.2.0index_fit519
  • 2026-08-05v0.2.0index_fit518
  • 2026-08-05v0.2.0index_fit517