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amazon/nova-lite-v1 · amazon · context 300 000 · in $0.060/1M · out $0.240/1M

Global Index

378

95% CI [349406] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic485 [390581]
0.3020.750.420.000372ms$0.082
code281 [254308]
0.0440.670.050.000481ms$0.012
instruction following339 [255422]
0.2760.800.540.250405ms$0.020
knowledge586 [437734]
0.4740.980.900.115351ms$0.008
math135 [114156]
0.0330.550.130.173405ms$0.011
multilingual433 [373493]
0.1710.870.500.000360ms$0.010
reasoning245 [201290]
0.1110.900.380.192344ms$0.011
terminal375 [318433]
0.1400.800.210.000364ms$0.027
vision ocr520 [386653]
0.4170.970.900.154882ms$0.080

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 10/30 correct
truncatedagentic.tools.context-load-v1conf · 720ms · $0.002 · 5120 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 (282 records, format: id|customer|region|item|qty|status):
```
1351|acme|west|frame|66|held
2089|fulton|north|valve|74|paid
1588|cobalt|north|panel|81|pending
1330|dorian|north|rotor|74|pending
1654|dorian|south|sensor|84|shipped
1704|fulton|north|valve|74|paid
1620|birch|west|panel|24|held
2024|birch|south|rotor|49|shipped
1595|cobalt|south|pump|40|held
1342|dorian|south|valve|13|pending
1411|ionic|north|rotor|51|pending
1632|ember|south|rotor|61|shipped
1752|harbor|south|gasket|38|paid
2298|gale|west|gasket|87|paid
1457|cobalt|west|pump|30|shipped
1937|gale|east|gasket|69|shipped
2060|ember|west|gasket|62|pending
2158|birch|east|cable|15|pending
1552|ionic|east|cable|93|pending
1355|gale|north|valve|20|held
2126|harbor|south|valve|50|shipped
1974|dorian|south|cable|99|paid
1341|dorian|north|gasket|27|pending
2132|gale|west|cable|12|held
1598|cobalt|north|panel|23|pending
2190|cobalt|west|rotor|77|held
1560|gale|south|cable|38|shipped
1388|ember|west|frame|53|held
1989|fulton|south|rotor|47|held
2359|harbor|west|gasket|30|pending
1350|acme|west|gasket|72|held
1982|ionic|west|panel|52|paid
1553|harbor|north|valve|34|paid
1747|dorian|south|rotor|87|pending
2011|cobalt|south|panel|86|shipped
2256|ionic|south|panel|14|held
1650|gale|north|cable|74|shipped
1505|gale|west|gasket|17|held
2080|birch|west|panel|65|paid
1931|ember|west|pump|76|held
1716|gale|west|rotor|20|paid
2051|fulton|east|valve|70|pending
1846|juno|north|pump|17|pending
2029|cobalt|west|frame|70|shipped
1569|acme|west|rotor|11|shipped
2334|birch|west|gasket|51|held
1434|birch|east|cable|60|shipped
2376|harbor|north|gasket|80|pending
1661|birch|north|frame|53|pending
1760|gale|west|frame|86|held
2348|birch|east|sensor|67|paid
1393|juno|north|sensor|77|paid
1418|gale|south|sensor|86|shipped
2017|birch|north|gasket|81|paid
1387|dorian|south|pump|26|paid
2073|acme|east|pump|22|held
1912|ember|west|frame|95|shipped
2288|harbor|east|valve|45|pending
1786|acme|west|rotor|26|held
2185|gale|south|gasket|78|paid
1472|fulton|east|panel|12|shipped
1368|ember|west|frame|63|pending
2026|ember|east|gasket|53|shipped
2316|dorian|north|pump|46|paid
1514|birch|north|valve|24|shipped
1772|acme|west|pump|71|held
1628|juno|west|panel|52|paid
2188|fulton|north|rotor|38|shipped
1921|ionic|east|frame|85|pending
1565|ionic|west|rotor|64|paid
1881|fulton|north|valve|68|paid
2193|fulton|east|cable|91|held
2242|gale|east|rotor|16|shipped
1917|birch|north|sensor|55|pending
1581|acme|east|valve|96|shipped
1451|birch|east|frame|16|paid
2007|fulton|west|pump|48|paid
2119|harbor|south|valve|23|paid
2275|acme|west|valve|52|paid
1613|ember|north|frame|16|paid
2302|fulton|north|panel|63|paid
2382|dorian|south|cable|47|held
1427|cobalt|south|frame|41|shipped
2085|juno|south|valve|48|paid
2171|dorian|east|rotor|85|paid
2010|fulton|south|cable|73|shipped
2338|acme|west|valve|79|pending
1442|gale|north|cable|38|pending
1683|juno|east|cable|35|held
2021|acme|east|gasket|28|held
2117|acme|east|panel|51|paid
1673|fulton|south|frame|68|held
1898|ionic|south|frame|99|held
1996|birch|east|gasket|71|shipped
2156|acme|south|gasket|99|shipped
1730|cobalt|east|valve|42|pending
1837|juno|north|sensor|70|pending
1717|dorian|south|panel|33|shipped
1956|juno|south|panel|15|held
1534|dorian|east|valve|78|shipped
1409|acme|north|panel|99|pending
1394|cobalt|east|pump|79|held
1461|dorian|south|gasket|39|shipped
1973|fulton|west|panel|43|pending
1753|juno|south|rotor|45|shipped
1893|fulton|south|cable|41|pending
1706|juno|north|frame|66|paid
1851|ionic|south|cable|74|paid
2133|ember|north|pump|49|shipped
1511|dorian|south|rotor|81|paid
1757|birch|north|frame|20|paid
1905|birch|south|frame|52|held
2270|dorian|north|panel|43|shipped
2304|harbor|north|sensor|33|pending
1541|ember|east|frame|68|pending
1938|acme|west|sensor|96|held
1901|birch|south|cable|81|shipped
1488|fulton|east|gasket|46|paid
2009|dorian|north|rotor|95|paid
1313|dorian|north|panel|35|pending
2308|fulton|west|sensor|32|paid
1781|birch|east|gasket|71|held
1841|dorian|west|panel|92|pending
1679|fulton|east|gasket|91|held
1570|harbor|west|gasket|86|pending
1465|gale|north|gasket|33|held
2160|juno|north|rotor|42|pending
1779|cobalt|south|rotor|61|pending
1333|dorian|east|panel|51|pending
1685|gale|south|valve|69|held
1360|dorian|east|pump|61|paid
1474|harbor|north|frame|31|shipped
2228|ember|north|rotor|58|held
1405|juno|east|gasket|27|held
1969|acme|west|rotor|44|pending
1819|gale|south|frame|10|held
1517|fulton|north|rotor|65|shipped
1684|acme|south|pump|39|shipped
2322|harbor|south|cable|58|shipped
2154|harbor|east|panel|71|paid
2067|harbor|west|gasket|77|paid
1367|ionic|east|gasket|15|paid
2362|fulton|north|rotor|52|pending
1934|ember|west|cable|85|held
1705|ember|west|gasket|40|paid
1833|ionic|south|rotor|50|paid
2262|ember|east|gasket|19|held
2048|fulton|east|valve|34|shipped
1740|gale|north|valve|46|held
2313|dorian|east|frame|24|pending
1382|birch|north|sensor|76|pending
1733|acme|south|frame|25|held
2280|fulton|west|sensor|72|held
2355|gale|west|rotor|96|paid
2152|birch|east|frame|61|held
2204|ionic|west|panel|35|pending
1710|fulton|west|frame|30|pending
1395|cobalt|west|sensor|25|paid
1813|birch|north|sensor|94|paid
1700|cobalt|west|frame|38|shipped
1804|acme|south|frame|77|shipped
1384|ionic|north|sensor|50|held
2221|juno|east|cable|76|held
2100|harbor|south|frame|48|paid
1501|birch|west|panel|12|paid
2093|birch|south|panel|35|pending
1609|gale|north|sensor|30|shipped
2364|fulton|west|gasket|28|paid
1862|birch|west|sensor|41|held
2141|gale|south|pump|71|pending
1407|ionic|east|gasket|95|pending
1508|harbor|south|pump|38|paid
1888|harbor|west|valve|80|paid
1526|birch|north|cable|69|pending
2039|gale|south|gasket|61|paid
2390|harbor|west|sensor|89|held
1874|fulton|north|cable|64|held
2198|gale|east|gasket|48|held
2237|harbor|north|gasket|77|paid
1464|juno|north|cable|40|held
2315|cobalt|north|rotor|39|pending
2151|juno|west|sensor|11|shipped
1344|dorian|north|rotor|18|shipped
1822|ionic|north|pump|84|shipped
2138|fulton|east|rotor|96|shipped
1535|juno|south|frame|38|paid
1979|ionic|south|panel|27|paid
1484|ionic|east|frame|55|pending
2109|birch|north|panel|69|pending
2238|harbor|north|cable|41|pending
1827|dorian|north|sensor|32|shipped
1895|juno|east|rotor|58|held
2266|fulton|south|rotor|34|pending
1960|ember|east|rotor|90|shipped
1928|fulton|west|valve|38|paid
2103|ember|north|frame|11|pending
2214|ionic|north|frame|70|pending
1724|harbor|south|gasket|98|shipped
2043|gale|west|rotor|60|pending
1376|harbor|north|sensor|27|paid
1417|ionic|south|cable|31|shipped
1857|ember|west|rotor|57|held
2181|ember|east|gasket|63|pending
2033|gale|west|sensor|24|paid
1636|ember|west|pump|59|held
1362|dorian|east|gasket|47|held
2155|gale|east|frame|68|paid
1645|dorian|south|sensor|27|pending
2281|ionic|east|panel|41|shipped
1897|juno|west|frame|76|shipped
1361|fulton|west|valve|46|shipped
2341|cobalt|east|gasket|58|pending
2295|acme|west|rotor|52|held
1503|ember|north|cable|23|paid
2165|gale|south|panel|33|held
1796|dorian|north|valve|25|held
1470|acme|south|sensor|84|paid
1623|ionic|west|gasket|63|shipped
1308|dorian|south|cable|81|pending
1400|gale|west|sensor|11|pending
1665|acme|west|sensor|28|pending
2383|birch|north|valve|81|held
1791|dorian|west|cable|19|shipped
1867|birch|east|cable|68|held
1520|harbor|north|valve|49|shipped
1810|ionic|south|valve|61|held
2145|ionic|north|frame|18|pending
1312|dorian|north|rotor|71|shipped
2177|ember|north|sensor|37|pending
1900|dorian|west|panel|69|held
1325|dorian|north|frame|21|shipped
1899|dorian|east|cable|91|shipped
1943|harbor|west|pump|96|paid
2116|birch|east|valve|66|held
1656|harbor|west|panel|83|shipped
1691|harbor|north|valve|54|paid
1988|birch|north|frame|81|held
1849|acme|east|pump|84|held
1823|ember|east|sensor|97|pending
1533|juno|north|frame|28|paid
2250|fulton|north|sensor|99|shipped
1436|birch|east|rotor|31|shipped
1646|ember|south|gasket|60|paid
2115|juno|west|panel|82|shipped
1950|birch|east|rotor|66|paid
1334|dorian|north|frame|49|shipped
1477|birch|west|frame|74|held
1766|juno|south|valve|10|pending
2196|harbor|west|panel|79|shipped
1603|juno|west|sensor|12|paid
1373|fulton|south|cable|39|shipped
1669|ionic|north|frame|82|held
1318|dorian|west|frame|85|pending
1494|cobalt|east|panel|64|held
2000|cobalt|north|valve|96|pending
1909|cobalt|south|frame|76|shipped
2371|fulton|east|cable|64|paid
2207|ember|west|cable|87|paid
1449|ionic|west|pump|43|shipped
1307|dorian|north|panel|72|pending
1577|juno|west|gasket|50|shipped
1967|ionic|east|panel|72|paid
1545|birch|north|sensor|98|shipped
1759|acme|south|pump|80|pending
2328|acme|east|panel|86|held
2303|juno|north|frame|92|paid
2054|ember|west|panel|22|pending
1854|harbor|west|rotor|31|pending
2004|ionic|east|pump|27|shipped
1806|ionic|west|panel|92|paid
2234|acme|east|cable|37|held
1801|fulton|east|panel|31|shipped
2135|cobalt|east|cable|65|held
1420|ember|south|sensor|96|pending
1926|gale|north|frame|21|paid
1642|ember|east|valve|74|pending
2028|acme|east|pump|84|paid
1696|cobalt|south|pump|77|shipped
1805|gale|north|cable|22|held
2113|ionic|south|cable|13|held
2245|ember|east|valve|92|held
1522|acme|south|gasket|25|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.ledger-v1conf 100% · 373ms · $0.000 · 170 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: $262
- kilo: $714
- alpha: $353

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $135 from "alpha" to "bravo"
2. pay $380 from "kilo" to "alpha"
3. pay $313 from "alpha" to "kilo"
4. pay $86 from "bravo" to "alpha"
5. pay $245 from "bravo" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 135}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 380}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 313}}, {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 86}}, {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 245}} ]
wrongagentic.tools.triage-v1conf 100% · 351ms · $0.000 · 189 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 7)
2. "webhooks not delivered" (category: infra, priority 7)
3. "locked out after 2FA change" (category: auth, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.deploy-v1conf 100% · 545ms · $0.000 · 98 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, reports
- reports: (none)
- billing: reports

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}} ]
wrongagentic.tools.ledger-v1conf 100% · 366ms · $0.000 · 111 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: $320
- tango: $543
- oscar: $189

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $458 from "oscar" to "alpha"
2. pay $152 from "tango" to "oscar"
3. pay $273 from "oscar" to "tango"
4. pay $372 from "oscar" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 458}}, {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 152}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 273}} ]
wrongagentic.tools.triage-v1conf 100% · 372ms · $0.000 · 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 ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 4)
2. "locked out after 2FA change" (category: auth, priority 2)
3. "invoice total wrong" (category: payments, priority 7)
4. "locked out after 2FA change" (category: auth, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
wrongagentic.tools.context-load-v1conf 100% · 400ms · $0.000 · 1041 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (153 records, format: id|customer|region|item|qty|status):
```
1701|fulton|east|frame|44|paid
1639|cobalt|west|valve|89|paid
1301|acme|west|gasket|89|shipped
1745|ionic|east|panel|11|pending
1419|harbor|west|cable|52|paid
1361|ember|north|sensor|66|paid
1255|acme|west|panel|35|pending
1822|birch|north|frame|98|pending
1397|harbor|south|frame|98|held
1762|fulton|north|pump|88|pending
1757|fulton|east|cable|28|shipped
1458|ember|south|rotor|37|held
1273|acme|west|gasket|21|held
1669|ember|east|gasket|80|held
1833|gale|east|pump|41|pending
1597|ionic|east|valve|24|pending
1537|acme|east|cable|56|shipped
1347|juno|south|gasket|69|shipped
1507|ember|north|gasket|65|paid
1432|ionic|east|panel|80|shipped
1340|harbor|north|sensor|97|pending
1714|acme|east|frame|40|pending
1414|birch|south|valve|54|paid
1871|cobalt|east|rotor|31|paid
1612|fulton|south|cable|46|shipped
1776|ionic|south|pump|98|paid
1424|juno|east|frame|81|shipped
1716|dorian|east|valve|47|paid
1593|cobalt|north|rotor|98|pending
1542|cobalt|west|valve|17|held
1528|dorian|north|gasket|19|shipped
1463|ionic|north|panel|96|held
1320|ionic|east|pump|70|held
1362|ember|west|frame|41|held
1554|juno|west|rotor|36|shipped
1644|ionic|east|sensor|77|shipped
1572|birch|north|cable|86|paid
1696|ember|north|panel|11|shipped
1277|acme|west|cable|35|pending
1482|gale|west|frame|94|shipped
1795|cobalt|south|sensor|92|pending
1328|fulton|east|frame|53|held
1374|fulton|south|cable|30|held
1356|ember|east|pump|95|paid
1744|ionic|west|sensor|59|pending
1314|acme|west|rotor|26|paid
1691|dorian|west|sensor|68|shipped
1718|dorian|south|valve|13|held
1682|cobalt|west|frame|57|paid
1838|fulton|west|panel|50|pending
1707|fulton|south|gasket|97|held
1831|juno|north|cable|65|shipped
1721|fulton|north|frame|32|paid
1727|gale|north|sensor|91|pending
1560|harbor|north|cable|69|held
1452|juno|south|pump|80|held
1377|ionic|south|valve|26|paid
1687|dorian|south|sensor|96|pending
1292|acme|west|rotor|64|pending
1469|ember|north|pump|85|held
1784|juno|north|panel|11|shipped
1385|ionic|west|frame|57|held
1656|juno|west|gasket|67|pending
1306|acme|west|gasket|26|pending
1854|acme|west|sensor|52|paid
1731|juno|south|pump|88|shipped
1862|dorian|north|rotor|41|shipped
1873|harbor|east|panel|69|paid
1632|ionic|south|sensor|62|shipped
1489|harbor|north|gasket|78|paid
1631|fulton|north|gasket|39|held
1567|cobalt|west|frame|36|shipped
1847|juno|south|cable|16|paid
1577|acme|west|panel|55|shipped
1780|ember|east|panel|28|paid
1268|acme|west|pump|72|pending
1635|juno|north|frame|97|paid
1625|ionic|north|panel|57|shipped
1825|birch|south|rotor|75|held
1515|gale|east|panel|96|shipped
1282|acme|east|valve|84|pending
1332|juno|south|sensor|97|pending
1339|juno|east|gasket|44|shipped
1837|cobalt|west|sensor|28|paid
1818|juno|north|pump|68|pending
1442|juno|south|rotor|24|pending
1418|juno|east|valve|63|held
1402|gale|north|rotor|96|pending
1728|cobalt|south|panel|67|pending
1857|harbor|south|cable|65|shipped
1751|ember|south|gasket|86|pending
1308|acme|east|rotor|11|pending
1671|harbor|west|cable|72|shipped
1788|gale|east|frame|70|pending
1735|cobalt|south|gasket|37|shipped
1322|cobalt|north|valve|90|pending
1509|ember|west|valve|53|held
1734|gale|north|sensor|50|paid
1677|cobalt|east|pump|85|held
1503|birch|south|rotor|27|held
1366|dorian|west|valve|32|paid
1659|fulton|east|panel|78|pending
1844|dorian|south|valve|65|paid
1649|gale|north|sensor|76|paid
1353|acme|south|pump|94|held
1534|ionic|west|valve|75|paid
1287|acme|west|panel|92|held
1815|ionic|north|sensor|26|pending
1559|cobalt|north|rotor|46|held
1472|ionic|north|valve|17|shipped
1425|harbor|west|panel|38|paid
1805|ionic|west|rotor|77|held
1499|birch|east|frame|86|pending
1369|ember|south|sensor|90|held
1423|cobalt|east|valve|30|paid
1478|gale|east|gasket|17|shipped
1411|ionic|north|sensor|17|held
1421|birch|north|valve|93|shipped
1271|acme|south|panel|69|pending
1294|acme|east|gasket|25|pending
1375|birch|east|frame|20|pending
1493|ionic|east|pump|70|paid
1504|cobalt|south|valve|62|shipped
1769|birch|west|pump|86|held
1407|acme|east|gasket|89|held
1588|fulton|east|panel|29|pending
1449|acme|north|sensor|53|held
1846|dorian|south|gasket|92|paid
1866|acme|north|pump|51|held
1609|juno|north|sensor|75|shipped
1834|gale|north|valve|18|shipped
1709|fulton|south|rotor|34|paid
1549|harbor|north|pump|62|shipped
1868|ember|west|pump|60|held
1405|ionic|north|valve|43|pending
1521|gale|south|valve|41|shipped
1675|juno|west|panel|92|paid
1380|dorian|south|sensor|29|shipped
1603|gale|north|panel|94|paid
1261|acme|north|cable|86|pending
1262|acme|west|sensor|96|held
1530|birch|north|cable|42|pending
1801|acme|south|valve|45|shipped
1460|ionic|west|cable|58|paid
1581|dorian|west|rotor|13|paid
1665|birch|south|sensor|99|pending
1880|harbor|east|pump|82|paid
1437|harbor|north|panel|57|held
1767|birch|south|rotor|50|paid
1618|juno|east|rotor|92|paid
1809|ionic|west|sensor|93|shipped
1741|gale|east|gasket|83|paid
1390|ember|east|cable|71|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, 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": 1255}}, {"tool": "restock", "args": {"item": "gasket", "qty": 89}}, {"tool": "restock", "args": {"item": "cable", "qty": 35}}, {"tool": "restock", "args": {"item": "rotor", "qty": 26}}, {"tool": "restock", "args": {"item": "gasket", "qty": 21}}, {"tool": "restock", "args": {"item": "rotor", "qty": 64}}, {"tool": "restock", "args": {"item": "pump", "qty": 72}}, {"tool": "restock", "args": {"item": "valve", "qty": 84}}, {"tool": "restock", "args": {"item": "panel", "qty": 92}}, {"tool": "restock", "args": {"item": "gasket", "qty": 25}}, {"tool": "restock", "args": {"item": "cable", "qty": 86}}, {"tool": "restock", "args": {"item": "sensor", "qty": 96}}, {"tool": "restock", "args": {"item": "panel", "qty": 55}}, {"tool": "restock", "args": {"item": "gasket", "qty": 69}}, {"tool": "restock", "args": {"item": "cable", "qty": 65}}, {"tool": "restock", "args": {"item": "rotor", "qty": 96}}, {"tool": "restock", "args": {"item": "pump", "qty": 88}}, {"tool": "restock", "args": {"item": "sensor", "qty": 97}}, {"tool": "restock", "args": {"item": "rotor", "qty": 24}}, {"tool": "restock", "args": {"item": "gasket", "qty": 44}}, {"tool": "restock", "args": {"item": "pump", "qty": 68}}, {"tool": "restock", "args": {"item": "panel", "qty": 78}}, {"tool": "restock", "args": {"item": "gasket", "qty": 65}}, {"tool": "restock", "args": {"item": "gasket", "qty": 86}}, {"tool": "restock", "args": {"item": "valve", "qty": 53}}, {"tool": "restock", "args": {"item": "pump", "qty": 62}}, {"tool": "restock", "args": {"item": "rotor", "qty": 77}}, {"tool": "restock", "args": {"item": "gasket", "qty": 17}}, {"tool": "restock", "args": {"item": "valve", "qty": 93}}, {"tool": "restock", "args": {"item": "frame", "qty": 20}}, {"tool": "restock", "args": {"item": "pump", "qty": 86}}, {"tool": "restock", "args": {"item": "gasket", "qty": 89}}, {"tool": "restock", "args": {"item": "panel", "qty": 29}}, {"tool": "restock", "args": {"item": "cable", "qty": 42}}, {"tool": "restock", "args": {"item": "sensor", "qty": 99}}, {"tool": "restock", "args": {"item": "rotor", "qty": 13}}, {"tool": "restock", "args": {"item": "cable", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 50}}, {"tool": "restock", "args": {"item": "rotor", "qty": 92}}, {"tool": "restock", "args": {"item": "sensor", "qty": 93}}, {"tool": "restock", "args": {"item": "gasket", "qty": 83}}, {"tool": "restock", "args": {"item": "cable", "qty": 71}} ]
correctagentic.tools.deploy-v1conf 100% · 338ms · $0.000 · 99 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: billing
- gateway: billing
- billing: (none)
- notifier: billing, reports

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
wrongagentic.tools.ledger-v1conf 100% · 525ms · $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:
- alpha: $555
- delta: $697
- kilo: $432

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $242 from "alpha" to "delta"
2. pay $531 from "alpha" to "delta"
3. pay $496 from "kilo" to "alpha"
4. pay $224 from "delta" to "alpha"
5. pay $557 from "kilo" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 242}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 531}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 496}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 224}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 557}} ]
truncatedagentic.tools.context-load-v1conf · 458ms · $0.002 · 5120 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 (284 records, format: id|customer|region|item|qty|status):
```
2168|harbor|east|rotor|24|paid
1352|birch|east|rotor|16|held
2255|gale|east|rotor|36|paid
2468|cobalt|west|sensor|51|pending
1693|ember|east|pump|46|held
1626|cobalt|north|panel|98|paid
1835|acme|east|gasket|71|held
2032|gale|south|pump|27|paid
1927|cobalt|north|rotor|97|held
1662|birch|north|gasket|56|paid
1780|harbor|north|gasket|22|held
1621|juno|west|frame|68|pending
2153|birch|north|valve|38|held
2160|juno|north|frame|57|pending
1830|harbor|east|pump|43|shipped
2350|cobalt|north|gasket|54|pending
1563|birch|west|frame|38|pending
2190|ionic|east|gasket|20|held
1937|cobalt|east|valve|14|held
1975|juno|north|frame|44|held
1613|juno|east|valve|30|paid
1855|acme|east|pump|70|held
1840|acme|west|gasket|44|held
1735|acme|east|panel|73|paid
1370|birch|east|frame|99|pending
1642|cobalt|south|frame|45|shipped
2418|ember|west|gasket|80|held
1575|juno|south|pump|55|paid
1863|cobalt|west|panel|69|pending
2313|ember|east|valve|84|paid
1862|ionic|east|sensor|87|paid
1474|acme|south|frame|40|paid
2191|birch|east|gasket|90|shipped
1688|harbor|west|valve|14|shipped
1846|harbor|east|rotor|13|pending
1486|ionic|south|cable|54|held
2387|gale|north|valve|31|pending
1364|birch|west|frame|58|pending
1522|dorian|west|panel|97|shipped
2053|cobalt|east|sensor|23|paid
1681|fulton|east|frame|47|pending
1750|acme|north|frame|38|paid
2201|ionic|east|frame|67|pending
1899|harbor|south|cable|78|pending
2417|ionic|west|cable|89|shipped
1608|harbor|east|frame|23|shipped
2182|ember|east|sensor|95|pending
1550|gale|north|frame|25|paid
1509|harbor|north|pump|10|pending
2073|acme|north|rotor|18|held
1724|gale|north|frame|42|paid
1414|gale|north|cable|23|held
1820|juno|east|pump|92|pending
2239|ember|south|sensor|58|pending
2141|ionic|south|pump|14|held
2289|juno|north|rotor|75|held
1528|fulton|east|rotor|42|held
1942|birch|west|cable|68|held
1420|dorian|west|sensor|76|shipped
1657|juno|east|frame|11|held
1904|acme|south|frame|48|shipped
2466|birch|south|valve|55|pending
1424|gale|west|panel|40|paid
2306|acme|north|sensor|41|pending
1630|ember|east|pump|69|paid
1870|fulton|west|frame|10|shipped
1882|gale|east|rotor|60|paid
1879|dorian|east|panel|60|held
1814|harbor|north|sensor|15|held
2381|cobalt|west|rotor|38|pending
1567|ionic|west|cable|99|held
2050|harbor|north|cable|11|held
1787|ionic|west|panel|12|shipped
1491|fulton|south|panel|71|held
2336|birch|west|cable|35|paid
2101|acme|east|cable|71|paid
2364|birch|east|gasket|81|shipped
2176|birch|west|frame|49|pending
2348|gale|west|cable|63|pending
2142|birch|north|cable|13|shipped
2093|gale|west|gasket|34|shipped
1818|birch|east|cable|78|paid
1672|cobalt|north|panel|35|paid
2260|fulton|south|frame|75|shipped
2248|fulton|north|frame|22|held
1579|cobalt|south|gasket|51|held
2403|acme|south|frame|80|paid
2186|harbor|west|pump|92|shipped
2234|gale|east|frame|46|pending
2344|ionic|west|cable|40|paid
2352|dorian|east|sensor|75|paid
1972|ember|west|panel|65|shipped
1480|dorian|west|pump|84|held
2227|harbor|south|gasket|40|paid
1757|ember|south|panel|41|paid
1467|ember|south|sensor|76|paid
1494|ionic|north|pump|43|shipped
2087|fulton|south|sensor|98|shipped
2178|birch|west|pump|41|paid
1624|fulton|south|rotor|42|paid
2049|juno|west|panel|86|pending
2291|ember|north|sensor|16|pending
2316|ember|east|rotor|41|pending
1631|birch|east|rotor|16|paid
1864|dorian|east|valve|66|held
1981|fulton|east|sensor|63|shipped
1617|gale|west|panel|81|held
2090|fulton|north|panel|54|paid
1547|gale|north|cable|19|paid
1744|gale|north|valve|71|shipped
1556|ionic|west|frame|88|held
2061|harbor|west|pump|63|paid
1678|ember|east|frame|78|held
2331|ionic|south|frame|31|paid
1504|ionic|west|frame|78|paid
1999|juno|south|cable|57|held
1457|ionic|west|sensor|24|paid
1570|birch|south|rotor|30|held
2377|gale|east|panel|57|paid
2448|acme|north|frame|80|held
1764|juno|north|rotor|64|shipped
2009|gale|south|frame|40|paid
2340|cobalt|west|valve|50|paid
2003|birch|south|cable|42|pending
1771|harbor|east|pump|97|held
2282|ionic|south|rotor|82|pending
2373|cobalt|south|rotor|91|pending
2011|ionic|south|sensor|11|paid
1386|birch|east|panel|85|shipped
1446|ember|north|frame|23|paid
2128|fulton|south|cable|78|shipped
1732|ionic|south|frame|40|held
1714|dorian|north|panel|13|shipped
1426|fulton|east|panel|83|paid
2322|acme|east|sensor|91|held
2305|birch|east|cable|16|held
2098|gale|north|cable|90|held
1799|cobalt|east|panel|10|pending
2360|gale|north|sensor|82|held
2057|cobalt|south|cable|49|paid
2358|birch|north|pump|75|paid
1376|birch|east|gasket|56|pending
2207|acme|north|frame|39|held
2460|dorian|west|gasket|88|shipped
1808|acme|west|sensor|92|pending
2111|cobalt|north|cable|41|pending
1398|juno|east|pump|20|pending
1335|birch|south|gasket|83|pending
1742|ember|west|rotor|45|shipped
1902|fulton|north|cable|17|pending
1433|harbor|east|sensor|30|shipped
1372|birch|south|rotor|21|pending
1524|fulton|west|pump|50|pending
2423|cobalt|west|pump|80|paid
1585|birch|south|cable|51|held
1434|dorian|east|pump|54|held
1794|acme|north|panel|33|held
2438|fulton|east|panel|45|held
1666|birch|east|valve|13|paid
1699|ember|west|panel|92|shipped
1451|birch|south|cable|49|pending
1722|fulton|north|rotor|96|shipped
1338|birch|east|frame|12|paid
2020|acme|north|cable|77|shipped
1877|birch|west|gasket|91|paid
1706|gale|east|cable|11|shipped
1925|ionic|south|rotor|32|pending
2296|gale|north|frame|53|pending
2131|fulton|north|sensor|13|held
1641|cobalt|north|gasket|70|shipped
2442|dorian|south|gasket|62|held
1915|fulton|north|pump|43|paid
2329|fulton|north|sensor|56|pending
1776|harbor|south|sensor|63|paid
1441|cobalt|north|sensor|72|paid
1594|juno|south|frame|38|shipped
2136|cobalt|west|rotor|80|paid
1992|fulton|north|cable|85|pending
2102|birch|north|pump|41|paid
2243|acme|north|cable|31|pending
2045|birch|east|cable|68|held
1468|gale|east|rotor|30|paid
2454|dorian|west|cable|13|held
2275|cobalt|north|valve|54|pending
1827|ionic|south|pump|14|shipped
1946|acme|west|sensor|59|paid
2265|harbor|south|sensor|42|held
2123|cobalt|south|rotor|87|paid
2183|ionic|east|panel|19|paid
1358|birch|east|gasket|21|pending
2246|gale|west|sensor|83|shipped
1442|dorian|east|frame|22|pending
2107|dorian|east|rotor|77|shipped
1702|ionic|south|pump|36|shipped
2026|harbor|east|valve|74|paid
1711|cobalt|east|cable|11|held
1952|harbor|south|panel|54|pending
1930|cobalt|west|valve|80|paid
2099|birch|north|rotor|33|held
2330|juno|west|pump|15|paid
1623|cobalt|north|cable|16|paid
1909|fulton|east|rotor|86|pending
2089|ember|west|frame|76|shipped
2066|cobalt|east|gasket|16|pending
2146|fulton|west|valve|75|shipped
2244|ember|north|valve|11|held
1532|cobalt|east|cable|22|paid
1802|cobalt|south|cable|99|paid
1964|birch|east|valve|60|held
1392|gale|north|panel|26|paid
2220|fulton|south|sensor|19|pending
2008|cobalt|east|valve|98|shipped
1544|ember|east|pump|62|paid
1789|cobalt|west|valve|72|paid
1918|harbor|west|sensor|52|pending
1373|birch|east|rotor|53|paid
1490|ember|east|rotor|44|shipped
1730|dorian|south|cable|62|paid
2406|dorian|east|gasket|95|held
1582|ember|south|panel|64|paid
2338|ember|east|panel|36|shipped
2374|ionic|south|gasket|75|paid
2216|dorian|east|rotor|42|shipped
2396|ionic|south|panel|20|held
1538|ionic|east|rotor|86|shipped
1934|gale|north|sensor|80|shipped
2077|juno|west|frame|40|shipped
1849|ionic|west|cable|88|paid
1460|fulton|east|valve|62|shipped
2116|ionic|north|pump|23|held
2080|juno|east|pump|74|held
1889|juno|north|valve|34|pending
1417|harbor|north|pump|72|shipped
2444|acme|north|valve|56|held
1647|acme|east|valve|64|held
2411|harbor|south|panel|27|paid
1653|gale|south|frame|23|paid
2079|cobalt|west|frame|99|shipped
1405|juno|east|pump|17|paid
1591|harbor|north|frame|59|shipped
2426|juno|south|valve|22|held
2285|juno|north|frame|93|held
2392|dorian|south|cable|33|pending
2277|birch|west|frame|36|held
2038|dorian|north|sensor|94|held
1958|acme|east|gasket|12|held
2165|harbor|east|cable|37|paid
2433|birch|north|valve|56|paid
2194|juno|north|sensor|27|pending
2314|dorian|north|gasket|80|pending
2371|harbor|west|cable|68|shipped
2013|gale|north|valve|61|shipped
2437|gale|west|cable|48|pending
1408|juno|north|cable|26|pending
2138|cobalt|east|pump|40|paid
2068|fulton|south|pump|89|shipped
1896|cobalt|south|pump|23|held
2051|birch|west|cable|87|shipped
2054|ionic|north|gasket|66|pending
2393|gale|west|panel|52|held
1345|birch|south|cable|28|pending
2298|juno|west|pump|19|pending
1601|harbor|south|rotor|34|held
2041|birch|west|pump|47|shipped
2272|acme|north|cable|74|held
1881|fulton|south|sensor|62|held
1987|gale|north|valve|82|held
1715|ionic|east|panel|12|held
2304|acme|west|cable|16|held
2173|gale|east|panel|39|shipped
1788|cobalt|west|pump|51|paid
1498|ember|north|pump|24|pending
2180|cobalt|north|cable|48|pending
1844|cobalt|north|gasket|77|paid
2214|acme|north|cable|66|shipped
1342|birch|east|pump|25|pending
2148|gale|east|frame|77|paid
1383|birch|north|panel|32|pending
1515|ember|west|valve|14|pending
1669|cobalt|north|rotor|57|pending
1969|birch|north|rotor|26|pending
1636|harbor|south|panel|26|paid
1332|birch|east|gasket|25|pending
1365|birch|east|frame|34|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.triage-v1conf 100% · 413ms · $0.000 · 258 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "invoice total wrong" (category: payments, priority 5)
3. "invoice total wrong" (category: payments, priority 5)
4. "cannot reset password" (category: auth, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "rivera"}} ]
truncatedagentic.tools.context-load-v1conf · 407ms · $0.001 · 5120 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 (196 records, format: id|customer|region|item|qty|status):
```
2158|fulton|west|rotor|80|paid
1525|birch|east|cable|22|pending
1982|ember|south|pump|67|paid
1510|fulton|east|frame|46|shipped
1566|fulton|north|gasket|94|held
1710|dorian|east|sensor|52|held
1965|ionic|east|rotor|75|held
1887|acme|east|panel|56|held
1618|ionic|north|cable|15|shipped
1645|ember|east|pump|11|held
2052|cobalt|south|gasket|74|shipped
2054|ember|north|panel|67|pending
1578|cobalt|west|gasket|21|held
2121|ionic|south|rotor|69|pending
1534|cobalt|south|frame|80|shipped
1876|cobalt|west|frame|46|held
2140|gale|north|frame|57|shipped
1962|acme|east|pump|65|shipped
1832|ember|south|frame|95|pending
2133|fulton|east|cable|53|pending
1546|juno|north|rotor|19|shipped
1869|ionic|east|rotor|32|held
1653|fulton|south|frame|82|pending
1589|birch|east|panel|78|paid
1805|acme|west|gasket|71|held
1921|dorian|east|sensor|13|pending
1555|acme|south|cable|10|shipped
2097|fulton|north|sensor|74|paid
1753|ember|north|rotor|38|pending
1473|dorian|south|rotor|66|pending
1591|gale|east|pump|53|pending
1823|cobalt|east|sensor|38|pending
1520|juno|east|pump|78|paid
1662|dorian|west|gasket|15|shipped
1938|ember|east|frame|19|pending
2096|birch|north|cable|43|paid
2030|fulton|north|panel|13|pending
1596|fulton|west|sensor|62|shipped
1516|acme|north|frame|45|shipped
1782|acme|south|pump|58|pending
2037|acme|east|pump|88|shipped
2125|acme|west|frame|62|held
1415|gale|north|panel|85|held
1989|cobalt|south|rotor|89|held
1612|gale|west|gasket|61|shipped
2152|ionic|east|gasket|50|shipped
2018|cobalt|north|gasket|73|shipped
1499|acme|south|pump|27|shipped
1777|ionic|north|valve|81|shipped
1382|gale|north|frame|25|paid
1900|ionic|east|rotor|72|paid
1559|gale|north|valve|10|pending
1847|ember|east|sensor|37|shipped
1724|dorian|east|panel|27|paid
1980|fulton|north|cable|25|paid
1478|ionic|north|gasket|21|shipped
2117|ember|north|valve|36|shipped
1910|cobalt|south|pump|94|paid
1539|harbor|north|cable|11|shipped
1763|dorian|north|pump|12|shipped
2109|fulton|west|sensor|80|paid
1675|ember|east|sensor|13|shipped
1514|dorian|east|rotor|91|paid
1788|fulton|south|cable|72|paid
1720|juno|south|valve|60|shipped
1568|harbor|west|gasket|76|paid
1760|harbor|north|rotor|96|held
1953|fulton|east|cable|97|pending
1576|birch|north|cable|78|pending
1468|dorian|south|rotor|75|held
1942|fulton|south|panel|28|held
1769|birch|west|frame|97|paid
1449|acme|east|pump|45|held
1961|harbor|south|gasket|94|paid
1854|birch|east|cable|16|shipped
1892|birch|north|cable|29|held
1487|fulton|south|rotor|60|pending
1450|dorian|north|valve|71|paid
1679|gale|west|frame|19|pending
1630|birch|north|panel|36|held
1625|juno|west|sensor|29|shipped
1884|harbor|south|gasket|41|pending
1838|harbor|south|panel|18|pending
2162|fulton|south|gasket|76|held
2120|gale|east|rotor|35|held
1678|ionic|south|frame|26|paid
1376|gale|south|panel|94|pending
1841|acme|south|sensor|59|paid
1878|acme|east|rotor|94|held
2044|harbor|north|valve|72|shipped
1407|gale|north|rotor|62|pending
2029|dorian|east|pump|30|shipped
1692|acme|north|gasket|82|paid
1560|ionic|west|gasket|38|paid
1396|gale|south|frame|67|pending
2046|harbor|east|gasket|54|shipped
1488|gale|east|gasket|97|shipped
2082|cobalt|west|sensor|98|pending
1494|gale|south|rotor|94|paid
1730|gale|west|cable|22|shipped
2079|dorian|east|valve|36|paid
2163|ember|west|valve|70|paid
1726|birch|south|sensor|58|shipped
1439|gale|north|sensor|23|shipped
2165|ember|east|pump|32|shipped
1584|birch|east|pump|23|paid
2012|cobalt|north|panel|99|pending
1695|fulton|west|gasket|79|paid
2058|dorian|south|valve|22|shipped
2089|harbor|east|valve|98|pending
1669|ember|north|gasket|65|held
1423|gale|north|frame|44|shipped
1945|gale|north|panel|17|held
1791|birch|west|rotor|45|pending
2129|birch|east|panel|11|held
2134|ionic|east|panel|35|paid
1812|fulton|east|cable|93|shipped
1992|juno|south|valve|61|held
2045|harbor|south|gasket|76|held
1866|dorian|west|valve|39|held
1955|birch|west|frame|15|shipped
1706|ember|south|valve|57|held
2005|juno|north|gasket|61|paid
2016|harbor|north|pump|84|shipped
1685|harbor|east|cable|74|paid
2102|gale|west|panel|46|shipped
1928|gale|west|frame|50|paid
1446|juno|east|frame|43|held
1532|gale|east|pump|30|pending
1913|ember|north|sensor|13|paid
1574|ionic|north|gasket|12|paid
1868|ember|east|rotor|46|held
1655|fulton|north|cable|34|held
1943|ionic|south|pump|17|paid
1429|gale|north|valve|21|pending
1509|gale|west|valve|66|held
1412|gale|west|rotor|52|pending
2073|harbor|north|rotor|48|shipped
1513|cobalt|north|pump|38|held
1932|birch|east|gasket|89|pending
2112|fulton|east|pump|48|shipped
1422|gale|south|pump|63|pending
1553|acme|south|panel|89|paid
1747|fulton|west|cable|70|held
1581|ember|north|cable|83|pending
1799|ionic|north|sensor|82|paid
1899|dorian|west|gasket|18|shipped
1770|dorian|north|valve|99|pending
1817|juno|north|pump|71|shipped
1593|acme|west|pump|22|held
1740|acme|east|valve|66|paid
1652|harbor|north|gasket|31|shipped
1461|dorian|north|gasket|84|pending
1923|harbor|north|panel|74|held
1824|ember|north|gasket|99|paid
1857|dorian|east|rotor|94|shipped
1947|harbor|north|sensor|20|paid
1608|ember|south|gasket|33|held
1635|gale|north|pump|42|shipped
1402|gale|north|gasket|49|paid
1917|acme|south|sensor|53|held
1483|cobalt|east|cable|69|shipped
1768|harbor|south|pump|19|pending
2024|birch|north|rotor|15|paid
1792|dorian|south|panel|73|held
1602|ionic|north|rotor|80|paid
1641|juno|north|frame|30|pending
1702|juno|east|valve|55|shipped
1826|ember|west|pump|95|held
1389|gale|north|rotor|47|pending
2009|ionic|west|frame|12|held
2066|ionic|north|pump|58|paid
1502|birch|west|sensor|39|pending
1995|ember|west|valve|71|held
2053|birch|north|frame|46|shipped
1860|acme|north|gasket|65|shipped
1716|birch|east|panel|83|pending
1967|fulton|north|frame|78|paid
1733|juno|west|rotor|41|held
1905|fulton|north|gasket|51|shipped
1646|ionic|west|cable|44|held
2011|dorian|north|pump|12|paid
1974|birch|south|panel|40|paid
1457|ionic|north|pump|51|paid
1741|dorian|north|panel|43|pending
1627|juno|east|cable|30|shipped
1837|cobalt|east|sensor|87|held
2063|gale|east|sensor|42|pending
1620|ember|south|rotor|21|shipped
1435|gale|west|sensor|91|pending
1872|fulton|south|valve|90|pending
1420|gale|north|pump|19|pending
2001|harbor|east|rotor|12|shipped
2145|dorian|east|sensor|93|paid
1370|gale|north|rotor|61|pending
1882|juno|east|rotor|44|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 50, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.deploy-v1conf 100% · 272ms · $0.000 · 117 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: billing
- billing: reports
- reports: (none)
- notifier: billing, reports

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
wrongagentic.tools.ledger-v1conf 100% · 393ms · $0.000 · 139 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $870
- lima: $555
- kilo: $432

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $296 from "kilo" to "echo"
2. pay $389 from "lima" to "kilo"
3. pay $569 from "kilo" to "lima"
4. pay $135 from "echo" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 296}}, {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 389}}, {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 569}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 135}} ]
correctagentic.tools.triage-v1conf 100% · 364ms · $0.000 · 264 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 → haddad
- infra → rivera
- payments → chen

INCIDENTS:
1. "records missing after import" (category: data, priority 9)
2. "records missing after import" (category: data, priority 9)
3. "refund double-charged" (category: payments, priority 4)
4. "dashboard shows stale numbers" (category: data, 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": "records missing after import", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}} ]
truncatedagentic.tools.context-load-v1conf · 570ms · $0.001 · 5120 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (147 records, format: id|customer|region|item|qty|status):
```
1811|juno|north|rotor|11|held
1381|gale|east|gasket|54|shipped
1783|ionic|east|frame|38|pending
1637|ember|south|gasket|37|paid
1660|juno|east|cable|88|pending
1777|birch|north|frame|67|shipped
1540|gale|west|rotor|21|paid
1582|harbor|west|gasket|46|held
1798|juno|east|sensor|19|pending
1661|cobalt|east|pump|22|shipped
1802|dorian|west|cable|42|paid
1332|gale|north|valve|62|shipped
1461|cobalt|east|cable|45|pending
1656|ionic|east|valve|92|pending
1814|juno|north|rotor|53|shipped
1430|gale|south|cable|37|held
1390|fulton|east|frame|48|paid
1636|acme|east|rotor|37|pending
1815|birch|north|valve|95|held
1547|ember|east|frame|17|paid
1384|dorian|east|frame|78|paid
1348|gale|north|valve|68|pending
1342|gale|north|panel|94|shipped
1402|fulton|west|gasket|37|pending
1712|cobalt|north|cable|61|paid
1827|dorian|west|rotor|43|paid
1524|harbor|east|gasket|56|paid
1315|gale|west|gasket|93|pending
1618|ember|south|pump|73|pending
1537|cobalt|west|valve|99|shipped
1691|cobalt|north|valve|22|held
1770|dorian|west|frame|60|paid
1363|gale|north|valve|59|pending
1867|gale|west|gasket|75|pending
1847|ionic|south|frame|21|pending
1536|cobalt|east|sensor|37|shipped
1762|birch|south|valve|71|pending
1820|gale|east|cable|35|held
1560|dorian|east|cable|69|paid
1486|dorian|east|pump|37|pending
1601|acme|north|panel|67|paid
1665|fulton|east|sensor|98|pending
1474|juno|south|rotor|42|held
1351|gale|west|panel|29|pending
1455|juno|south|valve|97|held
1686|ember|west|frame|39|held
1850|gale|south|valve|20|pending
1394|fulton|west|cable|66|shipped
1667|juno|east|rotor|21|held
1669|birch|east|rotor|24|paid
1445|ionic|south|rotor|73|paid
1565|harbor|north|frame|39|pending
1838|dorian|south|rotor|75|held
1776|gale|west|sensor|97|paid
1554|birch|east|panel|41|held
1518|harbor|east|pump|80|pending
1568|dorian|west|cable|45|pending
1672|ionic|east|valve|57|shipped
1631|cobalt|south|cable|37|shipped
1679|dorian|west|sensor|44|shipped
1320|gale|north|panel|51|shipped
1417|ionic|east|rotor|57|shipped
1496|dorian|east|rotor|84|shipped
1597|acme|north|valve|65|held
1662|harbor|east|valve|98|shipped
1862|cobalt|south|gasket|29|pending
1708|dorian|south|frame|73|paid
1512|acme|east|valve|45|pending
1675|juno|east|sensor|65|pending
1498|fulton|south|panel|77|pending
1705|juno|west|frame|40|held
1501|harbor|west|rotor|67|paid
1719|ember|south|cable|43|pending
1571|dorian|east|rotor|76|pending
1472|dorian|north|gasket|82|held
1578|acme|south|valve|45|shipped
1531|ember|north|sensor|95|paid
1737|juno|north|valve|37|pending
1505|gale|west|panel|44|pending
1797|harbor|north|sensor|99|paid
1824|gale|south|pump|63|paid
1613|fulton|south|frame|40|held
1627|juno|east|panel|68|held
1490|juno|east|cable|79|held
1589|ionic|east|panel|79|paid
1764|ionic|north|cable|77|pending
1412|juno|south|rotor|56|held
1329|gale|east|rotor|13|pending
1857|juno|south|cable|60|pending
1480|juno|north|panel|80|shipped
1580|ionic|west|frame|85|held
1687|ember|west|pump|59|held
1651|ember|south|panel|50|shipped
1819|ember|east|gasket|69|paid
1373|birch|south|valve|95|paid
1758|gale|east|pump|41|pending
1626|fulton|south|frame|47|pending
1700|cobalt|west|frame|87|paid
1369|gale|north|sensor|50|held
1715|cobalt|east|valve|62|shipped
1553|ionic|south|frame|67|shipped
1439|birch|south|sensor|59|paid
1434|gale|west|valve|23|shipped
1775|gale|south|panel|51|held
1623|fulton|west|valve|46|paid
1751|fulton|north|frame|20|pending
1840|gale|north|panel|19|pending
1828|fulton|west|panel|90|paid
1308|gale|north|pump|50|pending
1693|birch|west|pump|77|pending
1833|harbor|east|frame|93|held
1325|gale|north|sensor|81|pending
1734|acme|north|valve|88|pending
1494|harbor|south|rotor|85|paid
1594|gale|west|panel|22|paid
1400|acme|west|pump|95|held
1607|ionic|east|rotor|61|held
1570|birch|east|cable|13|held
1860|gale|south|rotor|14|paid
1822|ember|north|valve|84|pending
1726|gale|west|gasket|92|paid
1336|gale|north|frame|50|pending
1365|gale|west|sensor|83|pending
1804|birch|north|cable|87|held
1692|birch|east|valve|19|shipped
1756|harbor|east|cable|20|pending
1791|harbor|east|gasket|65|paid
1677|juno|south|panel|16|shipped
1451|ionic|south|valve|65|pending
1644|cobalt|west|valve|85|pending
1630|fulton|east|cable|59|shipped
1473|harbor|south|valve|47|pending
1357|gale|north|sensor|68|shipped
1423|ionic|south|pump|34|paid
1727|dorian|east|pump|23|held
1744|ember|south|valve|82|shipped
1485|gale|north|rotor|73|pending
1588|ionic|west|rotor|90|paid
1649|juno|west|cable|34|paid
1409|ionic|west|panel|55|pending
1704|acme|south|valve|33|shipped
1718|fulton|north|rotor|41|pending
1784|birch|south|frame|94|paid
1513|birch|east|frame|29|pending
1340|gale|south|valve|51|pending
1377|ionic|south|gasket|52|pending
1467|juno|south|rotor|55|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "north" 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: (none extracted)
correctagentic.tools.deploy-v1conf 100% · 454ms · $0.000 · 101 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
truncatedagentic.tools.context-load-v1anchorconf · 450ms · $0.001 · 5120 tok
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf 100% · 360ms · $0.000 · 171 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $325
- lima: $565
- bravo: $562

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $210 from "kilo" to "lima"
2. pay $399 from "lima" to "kilo"
3. pay $561 from "kilo" to "lima"
4. pay $563 from "kilo" to "lima"
5. pay $205 from "lima" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 210}}, {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 399}}, {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 561}}, {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 563}}, {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 205}} ]
wrongagentic.tools.triage-v1conf 100% · 328ms · $0.000 · 260 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → haddad
- payments → okafor
- infra → tanaka

INCIDENTS:
1. "export file corrupted" (category: data, priority 5)
2. "invoice total wrong" (category: payments, priority 8)
3. "uploads failing intermittently" (category: infra, priority 6)
4. "export file corrupted" (category: data, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
truncatedagentic.tools.context-load-v1conf · 712ms · $0.001 · 5120 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 (242 records, format: id|customer|region|item|qty|status):
```
1697|ionic|north|cable|89|held
1622|gale|south|pump|78|paid
1203|ember|east|pump|16|paid
1587|ionic|west|rotor|56|pending
1195|harbor|north|panel|10|shipped
1374|fulton|east|sensor|85|pending
1742|acme|north|panel|48|pending
1295|dorian|west|cable|11|pending
1863|juno|north|pump|95|pending
1873|ionic|east|frame|90|pending
1058|fulton|east|valve|44|pending
1788|birch|west|valve|59|paid
1991|ember|north|valve|16|pending
1473|birch|north|cable|53|held
1615|acme|west|rotor|77|pending
1596|cobalt|south|frame|65|paid
1340|fulton|north|rotor|18|pending
1828|acme|south|panel|52|paid
1973|acme|south|cable|40|shipped
1841|juno|south|panel|69|paid
1856|harbor|north|gasket|98|paid
1908|fulton|west|valve|60|held
1151|harbor|north|frame|23|paid
1438|harbor|south|sensor|52|shipped
1678|gale|west|panel|31|held
1755|cobalt|east|valve|17|held
1101|juno|north|rotor|36|paid
1278|dorian|north|cable|63|pending
1780|gale|north|sensor|41|held
1123|gale|west|panel|57|shipped
1765|cobalt|east|valve|99|held
1169|cobalt|west|gasket|28|pending
1707|fulton|north|valve|14|shipped
1932|gale|north|cable|92|pending
1015|fulton|east|pump|66|pending
2000|dorian|south|panel|96|pending
1677|juno|north|panel|66|held
1170|birch|south|cable|82|held
1367|dorian|south|cable|35|pending
1089|birch|north|rotor|98|pending
1467|birch|south|frame|28|held
2010|ember|west|panel|72|paid
1894|cobalt|east|valve|91|held
1187|dorian|east|valve|99|pending
1272|dorian|north|cable|41|shipped
1906|gale|west|frame|97|pending
1536|juno|east|sensor|37|held
1165|juno|east|gasket|27|shipped
1428|dorian|south|rotor|26|pending
1877|harbor|north|sensor|40|pending
1848|birch|east|sensor|45|pending
1532|ember|east|cable|55|pending
1529|dorian|south|pump|47|held
1642|juno|south|gasket|20|held
1457|juno|north|frame|56|shipped
1746|juno|south|pump|50|held
1510|fulton|south|valve|72|paid
1635|ionic|south|gasket|32|held
1082|harbor|north|sensor|15|paid
1511|juno|west|sensor|28|pending
1701|cobalt|east|rotor|85|pending
1390|ionic|north|valve|43|held
1160|gale|south|valve|63|shipped
1761|juno|west|frame|98|held
1211|cobalt|north|valve|77|paid
1096|juno|west|cable|86|held
1117|ember|north|frame|43|shipped
1488|juno|north|panel|62|shipped
1731|cobalt|west|panel|89|held
1253|cobalt|west|panel|95|paid
1732|acme|east|pump|45|pending
1567|harbor|north|sensor|65|shipped
1951|birch|north|sensor|36|shipped
1993|gale|west|valve|88|shipped
1753|cobalt|south|panel|32|pending
1984|dorian|south|rotor|78|shipped
1590|juno|south|gasket|98|paid
1262|harbor|south|cable|61|shipped
1967|birch|west|pump|47|shipped
1670|cobalt|west|rotor|34|pending
1492|ionic|south|panel|18|paid
1246|gale|east|gasket|39|paid
1572|acme|south|cable|62|paid
1821|dorian|south|cable|38|pending
1305|gale|north|frame|87|pending
1173|ionic|north|panel|34|shipped
1293|ionic|east|cable|62|pending
1446|fulton|south|frame|85|pending
2007|ionic|west|frame|96|paid
1767|juno|east|pump|78|paid
1790|juno|south|sensor|93|held
1712|juno|north|sensor|54|paid
1580|juno|east|panel|43|held
1522|cobalt|north|panel|22|pending
1892|birch|east|pump|72|shipped
1076|dorian|south|frame|89|held
1502|ember|west|valve|62|paid
1265|ember|east|panel|17|shipped
1915|harbor|west|pump|52|paid
2013|juno|east|cable|37|paid
1499|birch|west|frame|88|pending
1352|harbor|west|rotor|94|pending
1508|dorian|south|sensor|16|paid
1366|fulton|south|valve|47|held
1462|birch|east|rotor|23|shipped
1034|fulton|west|valve|88|pending
1563|ionic|west|panel|46|held
1398|ember|west|sensor|62|held
1672|ember|south|frame|32|held
1688|dorian|south|gasket|97|paid
1936|birch|east|rotor|87|pending
1065|fulton|west|panel|95|pending
1557|juno|north|pump|57|paid
1031|fulton|east|gasket|23|pending
1280|ember|east|pump|45|shipped
1798|juno|south|rotor|40|pending
1963|ember|east|rotor|99|shipped
1647|cobalt|south|rotor|67|paid
1239|fulton|south|valve|43|paid
1229|ionic|west|gasket|24|held
1260|harbor|south|gasket|79|held
1421|harbor|south|frame|31|paid
1268|cobalt|west|cable|49|shipped
1423|birch|south|gasket|37|paid
1145|harbor|south|panel|26|paid
1625|birch|north|sensor|25|pending
1838|fulton|west|rotor|37|shipped
1392|fulton|east|frame|54|pending
1139|cobalt|west|panel|30|pending
1235|fulton|south|panel|12|paid
1606|harbor|south|valve|25|shipped
1961|acme|south|valve|45|pending
1774|juno|west|gasket|10|held
1729|harbor|west|rotor|17|paid
1363|dorian|east|frame|47|shipped
1793|ionic|north|pump|51|paid
1075|ionic|west|rotor|86|held
1185|juno|north|frame|22|shipped
1853|dorian|east|sensor|19|shipped
1816|fulton|east|sensor|77|pending
1357|gale|south|frame|12|pending
1786|cobalt|west|pump|76|paid
1405|ember|west|panel|34|paid
1073|ionic|east|cable|10|pending
1205|birch|north|sensor|67|shipped
1937|ionic|west|gasket|60|shipped
1600|ember|east|panel|63|pending
1333|fulton|west|frame|19|held
1381|birch|east|gasket|41|held
1174|harbor|east|panel|70|pending
1685|ionic|north|panel|44|shipped
1068|fulton|east|pump|54|held
1555|ember|west|frame|28|pending
1155|acme|north|gasket|32|shipped
1820|dorian|north|frame|67|paid
1815|acme|south|panel|54|paid
1236|cobalt|west|gasket|28|shipped
2018|ionic|east|valve|96|paid
1017|fulton|south|frame|60|pending
1266|ember|south|pump|24|held
1164|ember|north|gasket|46|shipped
1180|harbor|north|pump|96|pending
1548|juno|east|frame|40|shipped
1599|juno|north|gasket|80|held
1328|ember|west|pump|58|shipped
1287|ionic|south|frame|87|pending
1035|fulton|east|panel|66|shipped
1040|fulton|east|panel|45|pending
1607|harbor|south|cable|22|held
1385|birch|south|cable|96|paid
1852|ember|east|valve|94|held
1380|ionic|north|frame|51|pending
1182|birch|north|panel|83|pending
1191|juno|south|frame|63|pending
1516|cobalt|south|rotor|20|pending
1314|acme|north|frame|27|paid
1694|ember|east|frame|33|pending
1196|ember|north|cable|16|pending
1445|cobalt|north|panel|46|shipped
1190|fulton|west|pump|80|pending
1444|acme|north|rotor|69|shipped
1807|gale|west|rotor|98|shipped
1723|harbor|south|cable|71|shipped
1654|juno|north|sensor|25|pending
1629|birch|east|gasket|82|shipped
1481|gale|west|cable|64|paid
1584|ionic|east|pump|73|held
1453|harbor|west|cable|86|held
1518|ember|east|frame|31|paid
1107|gale|east|valve|90|held
1376|birch|north|pump|93|shipped
1846|gale|north|cable|48|paid
1901|acme|north|panel|87|paid
1054|fulton|east|sensor|85|held
1480|dorian|north|gasket|51|pending
1347|ember|north|gasket|47|shipped
1136|ember|east|rotor|59|paid
1414|ionic|west|rotor|36|held
1299|cobalt|south|sensor|42|paid
1541|gale|west|pump|79|shipped
1528|ember|west|pump|16|paid
1979|harbor|north|frame|47|paid
1717|cobalt|north|valve|67|pending
1307|gale|north|pump|97|pending
1868|fulton|west|pump|80|held
1578|birch|east|sensor|72|paid
1148|juno|south|gasket|76|pending
1663|ionic|east|pump|21|paid
1769|ionic|east|sensor|97|shipped
1047|fulton|north|panel|34|pending
1024|fulton|east|rotor|76|held
1411|gale|west|frame|24|held
1833|fulton|north|sensor|88|paid
1321|juno|east|frame|60|paid
1681|dorian|west|cable|31|shipped
1432|acme|north|panel|53|pending
1581|fulton|east|frame|83|paid
1402|juno|south|frame|92|pending
1222|acme|east|cable|16|pending
1882|acme|west|rotor|24|held
1110|ember|south|valve|28|paid
1486|birch|west|gasket|35|paid
1216|dorian|south|rotor|44|paid
1118|acme|east|panel|49|shipped
1238|juno|south|cable|51|held
1632|ionic|north|panel|11|held
1956|fulton|south|cable|46|paid
1658|ionic|south|pump|55|held
1801|ionic|west|rotor|70|pending
1923|harbor|south|gasket|34|shipped
1129|ionic|north|pump|56|paid
1814|dorian|west|panel|24|shipped
1799|gale|west|cable|35|shipped
1944|cobalt|west|panel|55|held
1857|fulton|south|frame|22|pending
1930|acme|north|rotor|83|paid
1918|ionic|west|valve|19|pending
1613|juno|north|valve|88|shipped
1888|juno|north|valve|80|paid
1479|fulton|north|rotor|11|shipped
1651|ember|south|cable|39|held
1737|cobalt|north|sensor|94|paid
```

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 > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.deploy-v1conf 100% · 423ms · $0.000 · 102 tok
question
You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}} ]
wrongagentic.tools.ledger-v1conf 100% · 351ms · $0.000 · 106 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: $475
- delta: $594
- alpha: $200

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $170 from "lima" to "delta"
2. pay $101 from "lima" to "alpha"
3. pay $238 from "lima" to "alpha"
4. pay $336 from "delta" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 170}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 101}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 238}} ]
correctagentic.tools.triage-v1conf 100% · 374ms · $0.000 · 261 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "refund double-charged" (category: payments, priority 9)
3. "uploads failing intermittently" (category: infra, priority 3)
4. "uploads failing intermittently" (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": "dashboard shows stale numbers", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}} ]
correctagentic.tools.deploy-v1conf 100% · 284ms · $0.000 · 98 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, reports
- gateway: billing, reports
- billing: (none)
- reports: billing

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "search"}} ]
wrongagentic.tools.ledger-v1conf 100% · 305ms · $0.000 · 171 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $347
- bravo: $422
- tango: $695

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $590 from "alpha" to "bravo"
2. pay $174 from "alpha" to "bravo"
3. pay $199 from "tango" to "alpha"
4. pay $513 from "tango" to "alpha"
5. pay $401 from "tango" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 590}}, {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 174}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 199}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 513}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 401}} ]
correctagentic.tools.triage-v1conf 100% · 512ms · $0.000 · 205 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 → okafor
- auth → dubois
- data → novak

INCIDENTS:
1. "API latency spikes" (category: infra, priority 5)
2. "cannot reset password" (category: auth, priority 9)
3. "cannot reset password" (category: auth, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 575ms · $0.000 · 101 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.triage-v1anchorconf 100% · 333ms · $0.000 · 312 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": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "tanaka"}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.ledger-v1anchorconf 100% · 270ms · $0.000 · 171 tok
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
code 1/30 correct
wrongcode.trace.js-v1conf 100% · 667ms · $0.000 · 18 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 * 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: 1400
wrongcode.trace.nested-v1conf 100% · 422ms · $0.000 · 16 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 == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 40
wrongcode.trace.python-v1conf 95% · 608ms · $0.000 · 16 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 109:
    if v % 6 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 102
wrongcode.trace.nested-v1conf 100% · 498ms · $0.000 · 16 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 54
wrongcode.trace.js-v1conf 95% · 501ms · $0.000 · 15 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 42
wrongcode.trace.python-v1conf 100% · 475ms · $0.000 · 16 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 43:
    if v % 7 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 21
wrongcode.trace.js-v1conf 100% · 492ms · $0.000 · 16 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [2, 3, 4, 5, 6, 7];
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: 60
wrongcode.trace.nested-v1conf 100% · 309ms · $0.000 · 17 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: 110
wrongcode.trace.python-v1conf 100% · 348ms · $0.000 · 16 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 105:
    if v % 5 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
correctcode.trace.js-v1conf 95% · 455ms · $0.000 · 15 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 24
wrongcode.trace.nested-v1conf 100% · 442ms · $0.000 · 17 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 == 6 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 100
wrongcode.trace.python-v1conf 95% · 466ms · $0.000 · 15 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 13
while total + v <= 98:
    if v % 7 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
wrongcode.trace.js-v1conf 100% · 385ms · $0.000 · 17 tok
question
What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 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: 294
wrongcode.trace.nested-v1conf 100% · 403ms · $0.000 · 17 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 100
wrongcode.trace.python-v1conf 95% · 537ms · $0.000 · 15 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 51:
    if v % 7 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 35
wrongcode.trace.js-v1conf 95% · 335ms · $0.000 · 16 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11];
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: 180
wrongcode.trace.nested-v1conf 100% · 481ms · $0.000 · 16 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 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: 51
wrongcode.trace.js-v1conf 100% · 356ms · $0.000 · 17 tok
question
What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 120
wrongcode.trace.python-v1conf 95% · 329ms · $0.000 · 15 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 59:
    if v % 4 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 42
wrongcode.trace.python-v1conf 100% · 760ms · $0.000 · 16 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 42:
    if v % 7 != 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: 10
wrongcode.trace.nested-v1conf 100% · 568ms · $0.000 · 16 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 54
wrongcode.trace.js-v1conf 95% · 371ms · $0.000 · 17 tok
question
What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1980
wrongcode.trace.nested-v1conf 100% · 246ms · $0.000 · 17 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 110
wrongcode.trace.python-v1conf 100% · 511ms · $0.000 · 16 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 59:
    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: 25
wrongcode.trace.nested-v1conf 100% · 573ms · $0.000 · 16 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 40
wrongcode.trace.js-v1conf 100% · 550ms · $0.000 · 17 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 390
wrongcode.trace.python-v1anchorconf 95% · 1.5s · $0.000 · 15 tok
model answer: 42
wrongcode.trace.python-v1anchorconf 100% · 394ms · $0.000 · 16 tok
model answer: 18
wrongcode.trace.js-v1anchorconf 100% · 570ms · $0.000 · 17 tok
model answer: 168
wrongcode.trace.nested-v1anchorconf 100% · 695ms · $0.000 · 17 tok
model answer: 110
instruction following 16/30 correct
correctif.constraints.stack-v1conf 100% · 720ms · $0.000 · 86 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "tundra" and the last word must be "lumen".
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: tundra, the sea, a comet, a comet, shimmers, under, the, moonlight. waves, dance, and, the, stars, reflect, a, lumen.
wrongif.constraints.stack-v1conf 100% · 364ms · $0.000 · 283 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 "tundra" and the last word must be "flint".
3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra in the old machine, an echo resounds. it works with a simple, steady rhythm. the echo repeats, a comforting sound. gears turn, and metal sings. it has served for decades, a relic. its purpose, clear and strong. the echo fades, but not the memory. it rests now, a testament. history captured in metal and echo. the machine, a story, a silent echo. it waits, a guardian of the past. the echo lingers, a gentle reminder. time passes, but not the echo. the machine, a piece of history. the echo fades, but not forgotten. the old machine, a timeless echo. flint
wrongif.format.acronym-v1conf 100% · 407ms · $0.000 · 17 tok
question
Take the second letter of each of these words, in order: comet, zephyr, ember, flint, cedar, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OEFRLC
correctif.format.repeat-v1conf 100% · 417ms · $0.000 · 24 tok
question
Write the word "nova" 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: NOVA_NOVA_NOVA_NOVA
correctif.format.acronym-v1conf 100% · 401ms · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: orbit, tundra, zephyr, comet, cedar, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OTZCCL
wrongif.constraints.stack-v1conf 95% · 370ms · $0.000 · 64 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "prism" and the last word must be "basalt".
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: prism quartz, a long journey, through quartz valleys, mountains, and rivers. quartz reflections, a path, and a goal. a final stretch, over basalt. quartz memories, a story, a lesson. quartz quartz, a journey, a path, a goal. basalt.
correctif.format.repeat-v1conf 100% · 552ms · $0.000 · 39 tok
question
Write the word "orbit" 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: ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT
correctif.format.acronym-v1conf 100% · 370ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: nova, falcon, prism, 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: NFPT
wrongif.constraints.stack-v1conf 100% · 293ms · $0.000 · 123 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "ember" and the last word must be "prism".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember, an old machine, rests in the tundra. it once sparkled, now it's a relic. the tundra holds its secrets, as does the machine. tundra, a place of stillness, and machine.
correctif.format.repeat-v1conf 100% · 367ms · $0.000 · 21 tok
question
Write the word "cedar" in uppercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR/CEDAR/CEDAR
correctif.format.acronym-v1conf 100% · 529ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: quartz, basalt, drift, 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: QBDN
wrongif.constraints.stack-v1conf 100% · 867ms · $0.000 · 56 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "prism" and the last word must be "comet".
3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism, an old machine, glowing with an ember, cast shadows.
correctif.format.repeat-v1conf 100% · 505ms · $0.000 · 27 tok
question
Write the word "comet" in capitalized form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: COMET/COMET/COMET/COMET/COMET
correctif.format.acronym-v1conf 100% · 400ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: comet, falcon, orbit, 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: CFON
correctif.format.repeat-v1conf 100% · 398ms · $0.000 · 20 tok
question
Write the word "lumen" in lowercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lumen/lumen/lumen
wrongif.constraints.stack-v1conf 95% · 386ms · $0.000 · 52 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "delta" and the last word must be "cedar".
3. Use the word "flint" 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: (none extracted)
wrongif.format.acronym-v1conf 100% · 364ms · $0.000 · 16 tok
question
Take the second letter of each of these words, in order: prism, drift, echo, comet, flint, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: RISMECFL
wrongif.constraints.stack-v1conf 100% · 423ms · $0.000 · 99 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "ember" and the last word must be "prism".
3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember, a long journey, an echo through the woods, stars above, a path lit by memories, another echo, a river crossed, a mountain climbed, a valley filled with light, a prism at the end.
correctif.format.repeat-v1conf 100% · 582ms · $0.000 · 27 tok
question
Write the word "cedar" in capitalized form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR-CEDAR-CEDAR-CEDAR-CEDAR
wrongif.format.acronym-v1conf 100% · 969ms · $0.000 · 16 tok
question
Take the first letter of each of these words, in order: delta, comet, nova, drift, quartz, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DCNQOR
correctif.format.repeat-v1conf 100% · 405ms · $0.000 · 26 tok
question
Write the word "flint" 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: flint_flint_flint_flint_flint
wrongif.constraints.stack-v1conf 100% · 401ms · $0.000 · 103 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "echo" and the last word must be "tundra".
3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo the sea's prism, a vast mirror. waves dance, a prism of colors. marine life thrives, a vibrant spectrum. coastal towns, a blend of sea and land. beyond the shore, tundra awaits. echo tundra.
wrongif.format.acronym-v1conf 100% · 420ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: cedar, orbit, echo, 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: DREO
wrongif.constraints.stack-v1anchorconf 100% · 1.1s · $0.000 · 271 tok
model answer: drift through the city at night, where every street lamp emits a soft lumen. cars glide by, their lights creating a gentle glow. buildings stand tall, their windows reflecting the city's pulse. a distant siren adds rhythm to the night. people hurry along, their footsteps a faint echo. another lumen flickers, then steadies. the air is cool, carrying the scent of distant rain. overhead, stars shine brightly, their light a distant lumen. the city breathes, alive with the energy of the night. all is calm, a perfect balance of light and dark. drift on, under the watchful eyes of the night, in orbit.
wrongif.constraints.stack-v1conf 100% · 280ms · $0.000 · 105 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "ember" and the last word must be "lumen".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember, the tundra is silent, frost clings to every branch. in the tundra, morning light filters through, a soft lumen. on the tundra, the air is crisp, a gentle reminder of winter's hold. lumen.
correctif.format.repeat-v1conf 100% · 567ms · $0.000 · 27 tok
question
Write the word "drift" in capitalized form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DRIFT/DRIFT/DRIFT/DRIFT/DRIFT
wrongif.format.acronym-v1conf 100% · 305ms · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: quartz, delta, lumen, echo, drift, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QDLEBD
correctif.format.repeat-v1anchorconf 100% · 1.1s · $0.000 · 29 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.acronym-v1anchorconf 100% · 378ms · $0.000 · 16 tok
model answer: ZDFQ
correctif.format.repeat-v1anchorconf 100% · 295ms · $0.000 · 36 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
knowledge 27/30 correct
correctknowledge.fr.factbank-v2conf 100% · 328ms · $0.000 · 14 tok
question
Identify the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 259ms · $0.000 · 17 tok
question
Name the capital of Myanmar.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 393ms · $0.000 · 15 tok
question
Identify the element whose symbol is Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 355ms · $0.000 · 14 tok
question
Name the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 383ms · $0.000 · 14 tok
question
Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 431ms · $0.000 · 14 tok
question
Identify the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 423ms · $0.000 · 14 tok
question
What is 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
wrongknowledge.fr.factbank-v2conf 100% · 423ms · $0.000 · 14 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: Brasilia
correctknowledge.fr.factbank-v2conf 100% · 287ms · $0.000 · 14 tok
question
Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 309ms · $0.000 · 14 tok
question
What is the Turkish capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 460ms · $0.000 · 17 tok
question
What is the author of "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 286ms · $0.000 · 14 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 95% · 516ms · $0.000 · 16 tok
question
Name the writer of the novel "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 325ms · $0.000 · 14 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 354ms · $0.000 · 14 tok
question
What is the capital of Nigeria?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 460ms · $0.000 · 14 tok
question
Identify the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 431ms · $0.000 · 17 tok
question
Name the author of "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 351ms · $0.000 · 14 tok
question
What is the capital of Switzerland?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 297ms · $0.000 · 17 tok
question
What is the writer of the novel "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 325ms · $0.000 · 15 tok
question
Name the capital of Canada.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
wrongknowledge.fr.factbank-v2conf 100% · 333ms · $0.000 · 16 tok
question
Identify the author of "One Hundred Years of Solitude".

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: Gabriel Garcia Marquez
correctknowledge.fr.factbank-v2conf 100% · 305ms · $0.000 · 14 tok
question
Identify the Brazilian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 335ms · $0.000 · 14 tok
question
Name 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% · 299ms · $0.000 · 14 tok
question
Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 456ms · $0.000 · 14 tok
question
Identify the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
wrongknowledge.fr.factbank-v2conf 100% · 392ms · $0.000 · 16 tok
question
What is the Kazakh capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nur-Sultan
correctknowledge.fr.factbank-v2anchorconf 100% · 431ms · $0.000 · 14 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 341ms · $0.000 · 14 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 351ms · $0.000 · 15 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 314ms · $0.000 · 14 tok
model answer: Lead
math 3/30 correct
wrongmath.chained.pipeline-v1conf 100% · 321ms · $0.000 · 18 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 52 × 70.
Step 2: Q = P × 5 − 889.
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: 1241
wrongmath.counterfactual.base-v1conf 95% · 357ms · $0.000 · 18 tok
question
Work strictly in base 7. Multiply the base-7 numbers 121 and 120. 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: 14241
wrongmath.percent.chain-v2conf 95% · 397ms · $0.000 · 21 tok
question
An inventory starts at 84000 units. The warehouse was painted 49 years ago. In the first month the inventory grows by 10%. A rival firm shipped 37 unrelated parcels the same week. The next month it shrinks by 36%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 53716.80
wrongmath.algebra.system-v2conf 95% · 256ms · $0.000 · 15 tok
question
Solve the system, then answer the derived question.

3x + 8y = -279
2x − 2y = 56

What is the value of 2x − 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: -11
wrongmath.arith.chain-v2conf 95% · 267ms · $0.000 · 18 tok
question
Evaluate the expression below and give the result.

(((82 × 47 − 826) × 8 + 7808) − 43 × 72) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10960
wrongmath.algebra.system-v2conf 95% · 1.3s · $0.000 · 16 tok
question
Solve the system, then answer the derived question.

4x + 7y = 208
4x − 6y = -52

What is the value of 5x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 128
wrongmath.chained.pipeline-v1conf 100% · 583ms · $0.000 · 18 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 36 × 58.
Step 2: Q = P × 4 − 705.
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: 1091
wrongmath.counterfactual.base-v1conf 95% · 433ms · $0.000 · 16 tok
question
Work strictly in base 8. Multiply the base-8 numbers 66 and 53. 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: 426
wrongmath.percent.chain-v2conf 95% · 355ms · $0.000 · 21 tok
question
An inventory starts at 23000 units. A rival firm shipped 142 unrelated parcels the same week. In the first month the inventory grows by 33%. A rival firm shipped 122 unrelated parcels the same week. The next month it shrinks by 12%, and the month after it grows by 14%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 26546.88
wrongmath.arith.chain-v2conf 100% · 509ms · $0.000 · 19 tok
question
Calculate the following. Show your reasoning, then answer.

(((34 × 32 − 544) × 6 + 6527) − 42 × 39) × 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: 10997
wrongmath.chained.pipeline-v1conf 100% · 538ms · $0.000 · 18 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 28 × 42.
Step 2: Q = P × 4 − 596.
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: 1197
wrongmath.counterfactual.base-v1conf 95% · 392ms · $0.000 · 17 tok
question
Work strictly in base 8. Multiply the base-8 numbers 114 and 50. 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: 6200
wrongmath.percent.chain-v2conf 95% · 597ms · $0.000 · 21 tok
question
An inventory starts at 63000 units. A rival firm shipped 155 unrelated parcels the same week. In the first month the inventory grows by 44%. The warehouse was painted 72 years ago. The next month it shrinks by 16%, and the month after it grows by 45%. 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: 95437.80
correctmath.algebra.system-v2conf 100% · 589ms · $0.000 · 16 tok
question
Solve the system, then answer the derived question.

2x + 4y = -28
2x − 8y = 44

What is the value of 4x − 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: -10
wrongmath.chained.pipeline-v1conf 100% · 515ms · $0.000 · 17 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 33 × 88.
Step 2: Q = P × 3 − 736.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 896
wrongmath.arith.chain-v2conf 100% · 394ms · $0.000 · 19 tok
question
Work out the exact value of this expression.

(((80 × 58 − 424) × 7 + 4523) − 23 × 72) × 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: 18991
wrongmath.counterfactual.base-v1conf 95% · 273ms · $0.000 · 17 tok
question
Work strictly in base 13. Multiply the base-13 numbers 65 and 2B. 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: 1262
wrongmath.percent.chain-v2conf 95% · 349ms · $0.000 · 20 tok
question
An inventory starts at 54000 units. The delivery van has a 30-liter fuel tank. In the first month the inventory grows by 8%. A rival firm shipped 70 unrelated parcels the same week. The next month it shrinks by 39%, and the month after it grows by 8%. 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: 36249.6
wrongmath.algebra.system-v2conf 95% · 364ms · $0.000 · 15 tok
question
Solve the system, then answer the derived question.

6x + 9y = 300
6x − 2y = 146

What is the value of 3x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10
wrongmath.chained.pipeline-v1conf 100% · 319ms · $0.000 · 17 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 30 × 65.
Step 2: Q = P × 6 − 696.
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: 525
wrongmath.arith.chain-v2conf 100% · 246ms · $0.000 · 19 tok
question
Evaluate the expression below and give the result.

(((50 × 91 − 747) × 4 + 7081) − 72 × 32) × 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: 19995
correctmath.counterfactual.base-v1conf 100% · 458ms · $0.000 · 18 tok
question
Work strictly in base 8. Add the base-8 numbers 1446 and 5433. 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: 7101
wrongmath.percent.chain-v2conf 95% · 327ms · $0.000 · 21 tok
question
An inventory starts at 66000 units. Each pallet weighs about 9 grams more when wet. In the first month the inventory grows by 37%. The company was founded 94 kilometers from the port. The next month it shrinks by 34%, 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: 75432.00
wrongmath.algebra.system-v2conf 100% · 424ms · $0.000 · 17 tok
question
Solve the system, then answer the derived question.

4x + 8y = -184
7x − 4y = 308

What is the value of 4x − 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: 200
wrongmath.arith.chain-v2conf 100% · 450ms · $0.000 · 20 tok
question
Evaluate the expression below and give the result.

(((54 × 70 − 442) × 6 + 5513) − 79 × 33) × 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: 139945
wrongmath.chained.pipeline-v1conf 100% · 452ms · $0.000 · 18 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 61 × 56.
Step 2: Q = P × 8 − 324.
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: 2917
correctmath.counterfactual.base-v1anchorconf 100% · 518ms · $0.000 · 19 tok
model answer: 11236
wrongmath.percent.chain-v2anchorconf 95% · 376ms · $0.000 · 21 tok
model answer: 59439.84
wrongmath.arith.chain-v2anchorconf 100% · 412ms · $0.000 · 19 tok
model answer: 10995
wrongmath.algebra.system-v2anchorconf 95% · 405ms · $0.000 · 16 tok
model answer: 109
multilingual 15/30 correct
correctmultilingual.wordnum-v1conf 100% · 421ms · $0.000 · 18 tok
question
A number is written in French: « cinq cent quarante-cinq ». Another is written in Spanish: « setecientos noventa 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: 1338
correctmultilingual.numword-v2conf 100% · 321ms · $0.000 · 18 tok
question
Compute 48 + 378, 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 veintiséis
wrongmultilingual.wordnum-v1conf 100% · 308ms · $0.000 · 17 tok
question
A number is written in French: « trois cent vingt-trois ». Another is written in Spanish: « cuatrocientos setenta ». 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: 796
wrongmultilingual.numword-v2conf 100% · 299ms · $0.000 · 19 tok
question
Compute 308 + 163, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos setenta y uno
wrongmultilingual.wordnum-v1conf 100% · 242ms · $0.000 · 17 tok
question
A number is written in French: « trois cent quatre-vingts ». Another is written in Spanish: « 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: 336
wrongmultilingual.numword-v2conf 100% · 306ms · $0.000 · 20 tok
question
Compute 142 + 91, 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 quarante-trois
wrongmultilingual.numword-v2conf 99% · 446ms · $0.000 · 18 tok
question
Compute 151 + 113, 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-quatre
wrongmultilingual.wordnum-v1conf 100% · 360ms · $0.000 · 17 tok
question
A number is written in French: « trois cent quatre-vingts ». Another is written in Spanish: « ciento ochenta ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 210
correctmultilingual.wordnum-v1conf 100% · 377ms · $0.000 · 17 tok
question
A number is written in French: « six cent cinquante-neuf ». Another is written in Spanish: « ochenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 744
wrongmultilingual.numword-v2conf 100% · 294ms · $0.000 · 28 tok
question
Compute 235 + 376, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent trente-six et trois cent soixante-seize
correctmultilingual.wordnum-v1conf 100% · 421ms · $0.000 · 17 tok
question
A number is written in French: « trois cent vingt-quatre ». Another is written in Spanish: « ciento cuarenta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 465
correctmultilingual.numword-v2conf 95% · 388ms · $0.000 · 18 tok
question
Compute 338 + 407, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos cuarenta y cinco
wrongmultilingual.wordnum-v1conf 100% · 285ms · $0.000 · 17 tok
question
A number is written in French: « six cent sept ». Another is written in Spanish: « ochocientos setenta y siete ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -211
correctmultilingual.numword-v2conf 100% · 311ms · $0.000 · 16 tok
question
Compute 91 + 411, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent deux
correctmultilingual.wordnum-v1conf 100% · 403ms · $0.000 · 17 tok
question
A number is written in French: « neuf cent trente-trois ». Another is written in Spanish: « seiscientos 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: 332
correctmultilingual.numword-v2conf 100% · 338ms · $0.000 · 16 tok
question
Compute 123 + 47, 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 setenta
correctmultilingual.wordnum-v1conf 100% · 363ms · $0.000 · 17 tok
question
A number is written in French: « deux cent vingt-neuf ». Another is written in Spanish: « quinientos cuarenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 774
correctmultilingual.numword-v2conf 100% · 252ms · $0.000 · 17 tok
question
Compute 470 + 234, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos cuatro
wrongmultilingual.wordnum-v1conf 100% · 336ms · $0.000 · 17 tok
question
A number is written in French: « huit cent vingt-six ». Another is written in Spanish: « ciento treinta ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 693
wrongmultilingual.wordnum-v1conf 100% · 636ms · $0.000 · 18 tok
question
A number is written in French: « six cent quatre ». Another is written in Spanish: « quinientos 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: 1174
wrongmultilingual.numword-v2conf 99% · 301ms · $0.000 · 21 tok
question
Compute 176 + 409, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent quatre-vingt-quinze
correctmultilingual.numword-v2conf 100% · 305ms · $0.000 · 19 tok
question
Compute 287 + 99, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos ochenta y seis
correctmultilingual.wordnum-v1conf 100% · 397ms · $0.000 · 17 tok
question
A number is written in French: « cent dix-neuf ». 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: 267
correctmultilingual.numword-v2conf 99% · 303ms · $0.000 · 17 tok
question
Compute 392 + 452, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos cuarenta y cuatro
correctmultilingual.wordnum-v1conf 100% · 411ms · $0.000 · 18 tok
question
A number is written in French: « six cent soixante-deux ». Another is written in Spanish: « cuatrocientos 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: 1064
wrongmultilingual.numword-v2conf 100% · 440ms · $0.000 · 20 tok
question
Compute 130 + 272, 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 quarante-deux
correctmultilingual.wordnum-v1anchorconf 100% · 468ms · $0.000 · 17 tok
model answer: 150
wrongmultilingual.numword-v2anchorconf 100% · 406ms · $0.000 · 20 tok
model answer: huit cent soixante-neuf
wrongmultilingual.numword-v2anchorconf 100% · 364ms · $0.000 · 16 tok
model answer: seiscientosocho
wrongmultilingual.wordnum-v1anchorconf 100% · 357ms · $0.000 · 17 tok
model answer: 772
reasoning 10/30 correct
wrongreasoning.deduction.position-v1conf 95% · 329ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Nadir. Hana is number 4 in the queue. Nadir is directly ahead of Liam. Liam is directly ahead of Hana. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
wrongreasoning.deduction.order-v2conf 90% · 432ms · $0.000 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Goran. Mona is taller than Hana. Sami is taller than Quinn. Mona is taller than Emil. Quinn is taller than Emil. Bruno is older than everyone here, but Bruno is not being ranked. Hana is taller than Emil. Sami is taller than Emil. Goran is taller than Sami. Quinn is taller than Mona. 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: Goran
wrongreasoning.deduction.position-v1conf 100% · 401ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Tessa. Priya is directly ahead of Sami. Tessa is number 4 in the queue. Sami is directly ahead of Hana. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
wrongreasoning.deduction.order-v2conf 90% · 778ms · $0.000 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Chen. Bruno is heavier than Tessa. Quinn is heavier than Farah. Ola is heavier than Quinn. Ola is heavier than Quinn. Emil is heavier than Quinn. Ines is taller than everyone here, but Ines is not being ranked. Ola is heavier than Emil. Tessa is heavier than Ola. Emil is heavier than Chen. 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: Farah
wrongreasoning.deduction.position-v1conf 100% · 271ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Bruno. Sami is directly ahead of Liam. Mona is number 1 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.order-v2conf 90% · 307ms · $0.000 · 13 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Priya. Farah is faster than Bruno. Emil is heavier than everyone here, but Emil is not being ranked. Mona is faster than Bruno. Quinn is faster than Bruno. Mona is faster than Quinn. Priya is faster than Quinn. Liam is faster than Farah. Farah is faster than Hana. Mona is faster than Liam. 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: Priya
wrongreasoning.deduction.position-v1conf 100% · 344ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Mona. Emil is directly ahead of Liam. Mona is number 3 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.order-v2conf 90% · 298ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Quinn. Liam is older than Tessa. Dara is older than Quinn. Tessa is older than Dara. Ines is older than Priya. Dara is older than Ines. Dara is older than Sami. Nadir is taller than everyone here, but Nadir is not being ranked. Priya is older than Sami. Quinn is older than Priya. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.position-v1conf 100% · 331ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Kira is number 1 in the queue. Mona is directly ahead of Emil. Emil is directly ahead of Chen. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.order-v2conf 95% · 344ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Sami. Kira is older than Emil. Bruno is older than Kira. Bruno is older than Emil. Sami is older than Ines. Kira is older than Ines. Kira is older than Rosa. Ines is older than Emil. Priya is faster than everyone here, but Priya is not being ranked. Mona is older than Bruno. 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: Sami
correctreasoning.deduction.position-v1conf 100% · 447ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Mona. Tessa is number 3 in the queue. Mona is directly ahead of Tessa. 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% · 292ms · $0.000 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is heavier than Kira. Dara is heavier than Kira. Chen is heavier than Dara. Rosa is heavier than Kira. Quinn is heavier than Dara. Priya is heavier than Chen. Rosa is heavier than Quinn. Chen is heavier than Liam. Farah is faster than everyone here, but Farah is not being ranked. Liam is heavier than Rosa. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
wrongreasoning.deduction.position-v1conf 100% · 444ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Nadir. Liam is directly ahead of Hana. Nadir is directly ahead of Liam. Hana is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.order-v2conf 95% · 400ms · $0.000 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Priya. Liam is heavier than Hana. Sami is heavier than Ola. Priya is heavier than Quinn. Sami is heavier than Ola. Quinn is heavier than Hana. Ines is taller than everyone here, but Ines is not being ranked. Sami is heavier than Goran. Goran is heavier than Ola. Hana is heavier than Sami. 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: Liam
wrongreasoning.deduction.position-v1conf 100% · 326ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 4 in the queue. Ines is directly ahead of Farah. Emil is directly ahead of Liam. Farah is directly ahead of Emil. 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: Ines
correctreasoning.deduction.order-v2conf 90% · 381ms · $0.000 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is faster than everyone here, but Alice is not being ranked. Bruno is heavier than Ines. Sami is heavier than Bruno. Goran is heavier than Tessa. Ola is heavier than Priya. Bruno is heavier than Ola. Ines is heavier than Priya. Ola is heavier than Ines. Tessa is heavier than Sami. Ola is heavier than Priya. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 360ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Quinn. Quinn is directly ahead of Sami. Bruno is directly ahead of Dara. Sami is number 4 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
wrongreasoning.deduction.order-v2conf 95% · 328ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Priya is older than Mona. Liam is older than Hana. Rosa is taller than everyone here, but Rosa is not being ranked. Mona is older than Bruno. Priya is older than Hana. Emil is older than Farah. Hana is older than Farah. Hana is older than Emil. Bruno is older than Liam. Bruno is older than Hana. 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: Priya
correctreasoning.deduction.position-v1conf 100% · 446ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Liam. Chen is directly ahead of Rosa. Liam is directly ahead of Chen. Rosa is number 4 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
wrongreasoning.deduction.order-v2conf 100% · 405ms · $0.000 · 14 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Liam. Hana is taller than Nadir. Jonas is taller than Rosa. Rosa is taller than Hana. Liam is taller than Quinn. Nadir is taller than Liam. Tessa is taller than Jonas. Goran is heavier than everyone here, but Goran is not being ranked. Tessa is taller than Nadir. Rosa is taller than Quinn. 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
correctreasoning.deduction.position-v1conf 100% · 300ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 1 in the queue. Goran is directly ahead of Kira. Kira is directly ahead of Sami. 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: Goran
correctreasoning.deduction.position-v1conf 95% · 484ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 4 in the queue. Goran is directly ahead of Chen. Chen is directly ahead of Hana. Kira is directly ahead of Goran. 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: Goran
wrongreasoning.deduction.order-v2conf 90% · 315ms · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is heavier than Ines. Alice is heavier than Mona. Mona is heavier than Emil. Liam is heavier than Alice. Ola is heavier than Mona. Ines is heavier than Liam. Ines is heavier than Emil. Goran is faster than everyone here, but Goran is not being ranked. Alice is heavier than Ola. Ola is heavier than Emil. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
wrongreasoning.deduction.order-v2conf 100% · 306ms · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Quinn. Goran is taller than Sami. Ola is faster than everyone here, but Ola is not being ranked. Liam is taller than Quinn. Quinn is taller than Ines. Goran is taller than Rosa. Rosa is taller than Ines. Priya is taller than Liam. Liam is taller than Goran. Quinn is taller than Rosa. 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: Ines
wrongreasoning.deduction.position-v1conf 100% · 298ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Jonas. Jonas is directly ahead of Priya. Priya is number 3 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1anchorconf 100% · 405ms · $0.000 · 14 tok
model answer: Quinn
wrongreasoning.deduction.order-v2conf 95% · 255ms · $0.000 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Bruno. Tessa is taller than Emil. Liam is faster than everyone here, but Liam is not being ranked. Mona is taller than Bruno. Bruno is taller than Sami. Emil is taller than Nadir. Tessa is taller than Sami. Nadir is taller than Alice. Alice is taller than Mona. Mona is taller 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: Emil
wrongreasoning.deduction.order-v2anchorconf 90% · 287ms · $0.000 · 14 tok
model answer: Nadir
wrongreasoning.deduction.order-v2anchorconf 90% · 361ms · $0.000 · 13 tok
model answer: Ola
correctreasoning.deduction.position-v1anchorconf 90% · 359ms · $0.000 · 13 tok
model answer: Farah
terminal 6/30 correct
correctterminal.exit.chain-v1conf 100% · 403ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

`notes.txt` contains exactly the words: basil, dune (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
true && echo E || echo F
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E Z exit:0
wrongterminal.fs.tree-v1conf 95% · 509ms · $0.000 · 81 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/build`, `/proj/logs`):

```
/proj/draft.md
/proj/logs/setup.cfg
/proj/notes.log
/proj/src/index.log
/proj/src/util.txt
```

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

```sh
touch build/notes-3.md
mkdir -p src/assets-9
cd src
rm index.log
cp ../../proj/notes.log ../../proj/build/
mkdir -p build-5
mkdir -p src-4
```

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% · 404ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,ops,95,62
bo,hr,5,32
lou,eng,45,48
oli,ops,92,86
ned,eng,71,68
max,legal,64,40
fay,sales,116,38
cy,ops,16,10
kim,ops,3,94
pam,hr,98,43
hal,eng,10,67
jon,sales,120,30
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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: 216
wrongterminal.fs.tree-v1conf 95% · 232ms · $0.000 · 84 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/docs`):

```
/proj/assets/draft.txt
/proj/assets/setup.cfg
/proj/docs/notes.log
/proj/index.md
/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
mkdir -p assets/conf-6
mkdir -p assets/conf-6/assets-2
cp assets/setup.cfg assets/conf-6/assets-2/
cd assets/conf-6
mv assets-2/setup.cfg ../../../proj/docs/
cd ../../../proj/docs
mkdir -p docs-3
rm ../../proj/assets/setup.cfg
touch ../../proj/todo-6.txt
mv notes.log docs-3/
cd ../../proj/assets
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.txt /proj/assets/conf-6/assets-2 /proj/build /proj/docs/docs-3/notes.log /proj/docs/setup.cfg /proj/index.md /proj/main.log /proj/todo-6.txt
correctterminal.exit.chain-v1conf 100% · 334ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F Z exit:0
wrongterminal.pipeline.predict-v1conf 100% · 364ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,eng,28,53
ivy,sales,114,65
kim,hr,70,37
cy,ops,18,74
fay,sales,105,65
ana,ops,8,50
pam,sales,13,24
ned,sales,63,59
bo,eng,82,13
hal,hr,16,98
eli,eng,100,60
dev,hr,96,54
gus,hr,27,68
```

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: 201
wrongterminal.exit.chain-v1conf 100% · 527ms · $0.000 · 28 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
test -f tmp.txt && echo C || echo D
true && echo E || echo F
test -f app.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: (none extracted)
wrongterminal.fs.tree-v1conf 100% · 456ms · $0.000 · 79 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/logs`, `/proj/conf`):

```
/proj/index.md
/proj/logs/main.txt
/proj/logs/setup.log
/proj/logs/util.txt
/proj/report.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 logs/main.txt logs/main-9.txt
mv logs/util.txt logs/report-7.cfg
cd conf
touch ../../proj/logs/index-9.log
rm ../../proj/logs/setup.log
mkdir -p build-3
cd build-3
mkdir -p ../../../proj/src/docs-5
cd .
mkdir -p ../../../proj/docs-4
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/index.md /proj/logs/index-9.log /proj/logs/main-9.txt /proj/logs/report-7.cfg /proj/report.cfg /proj/src/docs-5 /proj/docs-4
wrongterminal.pipeline.predict-v1conf 100% · 357ms · $0.000 · 25 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,legal,68,43
ana,ops,112,68
fay,sales,115,32
cy,eng,38,60
bo,legal,95,99
eli,hr,10,72
gus,eng,55,34
dev,legal,86,92
ned,legal,7,98
max,sales,96,35
ivy,ops,45,62
kim,eng,5,28
oli,legal,25,85
lou,hr,53,61
```

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: ana 112 ivy 45
wrongterminal.fs.tree-v1conf 100% · 425ms · $0.000 · 92 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/src`):

```
/proj/conf/todo.txt
/proj/draft.cfg
/proj/logs/notes.md
/proj/src/main.log
/proj/util.log
```

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

```sh
cp draft.cfg src/
mkdir -p build-6
cd conf
touch ../../proj/logs/main-8.txt
mv todo.txt ../../proj/logs/
touch todo-6.txt
cd ../../proj/src
touch ../../proj/conf/draft-2.md
cp draft.cfg ../../proj/build-6/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build-6/draft.cfg /proj/conf/draft-2.md /proj/conf/draft.cfg /proj/logs/main-8.txt /proj/logs/notes.md /proj/logs/todo.txt /proj/src/main.log /proj/util.log
wrongterminal.exit.chain-v1conf 100% · 340ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D A Z exit:0
wrongterminal.pipeline.predict-v1conf 100% · 392ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,hr,84,97
jon,legal,85,39
fay,ops,3,96
oli,legal,43,52
max,hr,117,25
bo,legal,30,49
lou,eng,13,51
ana,eng,13,70
pam,eng,35,60
kim,eng,18,61
ivy,sales,106,30
```

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: 118
wrongterminal.fs.tree-v1conf 100% · 402ms · $0.000 · 54 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`):

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

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

```sh
mv assets/notes.md src/
cd .
touch util-2.cfg
rm assets/index.md
mkdir -p build-1
cd .
touch main-9.log
cd assets
rm ../../proj/util-2.cfg
rm ../../proj/src/setup.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)
correctterminal.exit.chain-v1conf 100% · 301ms · $0.000 · 23 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, basil (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E exit:1
wrongterminal.pipeline.predict-v1conf 95% · 447ms · $0.000 · 44 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,legal,61,88
hal,eng,25,16
eli,ops,112,95
dev,legal,36,66
max,legal,117,41
ivy,eng,109,61
gus,sales,78,10
ned,sales,3,90
pam,eng,97,90
oli,eng,85,98
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: eli,ops,112,95 dev,legal,36,66 max,legal,117,41
wrongterminal.fs.tree-v1conf 100% · 363ms · $0.000 · 49 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/docs`):

```
/proj/build/draft.cfg
/proj/build/report.cfg
/proj/build/util.log
/proj/main.log
/proj/notes.txt
```

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

```sh
cp build/draft.cfg ./
cd logs
rm ../../proj/main.log
cd ../../proj/build
cp ../../proj/draft.cfg ../../proj/docs/
rm util.log
cd .
mv ../../proj/draft.cfg ../../proj/docs/
mv ../../proj/notes.txt ../../proj/util-9.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/report.cfg /proj/docs/draft.cfg /proj/docs/util-9.cfg /proj/notes.txt
wrongterminal.exit.chain-v1conf 100% · 298ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F H B exit:0
wrongterminal.pipeline.predict-v1conf 95% · 299ms · $0.000 · 33 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,sales,18,13
eli,sales,15,66
gus,legal,108,63
pam,eng,110,58
ana,eng,45,98
jon,ops,103,65
max,sales,79,14
hal,legal,99,77
lou,eng,76,53
ivy,eng,75,32
ned,sales,54,58
kim,eng,60,33
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: jon,ops,103,65 hal,legal,99,77
wrongterminal.fs.tree-v1conf 100% · 367ms · $0.000 · 84 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/docs`, `/proj/logs`):

```
/proj/conf/setup.cfg
/proj/index.txt
/proj/logs/main.txt
/proj/logs/notes.md
/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
rm index.txt
mkdir -p docs/docs-7
mkdir -p docs/docs-7/src-5
touch logs/notes-6.md
cd logs
mv ../../proj/util.cfg ../../proj/setup-2.log
cd ../../proj/docs/docs-7
mv ../../../proj/conf/setup.cfg ../../../proj/conf/index-8.md
cd ../../../proj
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/index-8.md /proj/conf/setup.cfg /proj/docs/docs-7/src-5 /proj/logs/main.txt /proj/logs/notes-6.md /proj/setup-2.log /proj/util.cfg
wrongterminal.exit.chain-v1conf 100% · 314ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E G Z exit:1
correctterminal.pipeline.predict-v1conf 100% · 339ms · $0.000 · 32 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,eng,111,22
max,sales,10,54
jon,eng,39,39
cy,sales,32,40
fay,legal,73,55
ned,hr,83,35
eli,hr,3,93
ana,legal,47,38
ivy,ops,84,95
pam,sales,40,20
kim,ops,45,46
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: eli,hr,3,93 ned,hr,83,35
correctterminal.exit.chain-v1conf 100% · 520ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F Z exit:0
wrongterminal.fs.tree-v1conf 100% · 448ms · $0.000 · 87 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/src`, `/proj/conf`):

```
/proj/conf/draft.log
/proj/conf/notes.log
/proj/conf/report.cfg
/proj/main.cfg
/proj/setup.cfg
```

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

```sh
cp conf/notes.log ./
cd .
mv conf/notes.log conf/draft-2.log
mkdir -p conf-3
cp conf/report.cfg conf-3/
mkdir -p conf-3/docs-1
touch docs/setup-2.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/draft-2.log /proj/conf/draft.log /proj/conf/notes.log /proj/conf/report.cfg /proj/conf-3/report.cfg /proj/docs/setup-2.txt /proj/main.cfg /proj/setup.cfg
correctterminal.pipeline.predict-v1conf 100% · 289ms · $0.000 · 24 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,eng,64,80
oli,ops,98,72
dev,legal,45,30
pam,sales,103,45
ivy,ops,59,43
gus,eng,111,13
hal,ops,97,57
eli,sales,6,40
max,sales,14,39
cy,hr,114,47
lou,eng,17,61
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,64 gus,111
wrongterminal.exit.chain-v1conf 100% · 395ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F G exit:0
wrongterminal.fs.tree-v1conf 95% · 333ms · $0.000 · 86 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/src`):

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

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

```sh
cp notes.txt src/
rm src/setup.log
rm notes.txt
touch docs/notes-9.log
cd conf
mv ../../proj/docs/notes-9.log ../../proj/docs/report-1.cfg
cp ../../proj/report.md ../../proj/docs/
mkdir -p docs-2
touch ../../proj/src/report-1.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/docs/notes-9.log /proj/docs/report-1.cfg /proj/docs/report.md /proj/docs/util.md /proj/notes.txt /proj/report.md /proj/src/main.txt /proj/src/report-1.cfg
wrongterminal.pipeline.predict-v1anchorconf 100% · 343ms · $0.000 · 44 tok
model answer: dev,eng,81,95 eli,eng,60,55 cy,eng,115,45
wrongterminal.exit.chain-v1anchorconf 100% · 454ms · $0.000 · 27 tok
model answer: B D E G F exit:1
wrongterminal.fs.tree-v1anchorconf 100% · 337ms · $0.000 · 100 tok
model answer: (none extracted)
wrongterminal.pipeline.predict-v1anchorconf 100% · 317ms · $0.000 · 15 tok
model answer: 3
vision ocr 26/30 correct
correctvision.ocr.table-read-v1conf 100% · 679ms · $0.000 · 16 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: 29
correctvision.ocr.code-hunt-v1conf 95% · 769ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 7RDCNRK
correctvision.ocr.table-read-v1conf 100% · 839ms · $0.000 · 16 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: 23
correctvision.ocr.code-hunt-v1conf 95% · 946ms · $0.000 · 16 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: UFMFEAU
correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 17 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: 153
wrongvision.ocr.code-hunt-v1conf 95% · 1.0s · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: YPCHVKUU
correctvision.ocr.table-read-v1conf 100% · 810ms · $0.000 · 16 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: 57
wrongvision.ocr.code-hunt-v1conf 95% · 772ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NFRQ9ECWD
correctvision.ocr.table-read-v1conf 95% · 773ms · $0.000 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 68
correctvision.ocr.table-read-v1conf 95% · 1.4s · $0.000 · 16 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: 160
correctvision.ocr.code-hunt-v1conf 95% · 936ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EVC9KVRT
wrongvision.ocr.code-hunt-v1conf 95% · 961ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3NJYKF
correctvision.ocr.table-read-v1conf 95% · 882ms · $0.000 · 16 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: 109
correctvision.ocr.code-hunt-v1conf 95% · 808ms · $0.000 · 16 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: PCM3VNE
correctvision.ocr.table-read-v1conf 100% · 713ms · $0.000 · 16 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: 49
correctvision.ocr.code-hunt-v1conf 95% · 780ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CENPX9YF
correctvision.ocr.table-read-v1conf 100% · 837ms · $0.000 · 17 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: 100
correctvision.ocr.code-hunt-v1conf 95% · 895ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FD3MYT9
correctvision.ocr.table-read-v1conf 100% · 767ms · $0.000 · 16 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: 29
wrongvision.ocr.code-hunt-v1conf 95% · 1.1s · $0.000 · 16 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: PEVUT X
correctvision.ocr.table-read-v1conf 100% · 898ms · $0.000 · 17 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: 163
correctvision.ocr.code-hunt-v1conf 95% · 900ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DHJRV4D
correctvision.ocr.table-read-v1conf 100% · 1.7s · $0.000 · 16 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: 54
correctvision.ocr.code-hunt-v1conf 95% · 587ms · $0.000 · 16 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: UTPPAUHJ
correctvision.ocr.table-read-v1conf 100% · 974ms · $0.000 · 17 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% · 879ms · $0.000 · 17 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: KD49AJYX
correctvision.ocr.table-read-v1anchorconf 95% · 642ms · $0.000 · 15 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 95% · 762ms · $0.000 · 19 tok
model answer: VX7993D
correctvision.ocr.code-hunt-v1anchorconf 95% · 1.8s · $0.000 · 19 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 100% · 1.2s · $0.000 · 16 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit378
  • 2026-08-05v0.2.0index_fit378
  • 2026-08-05v0.2.0index_fit380
  • 2026-08-05v0.2.0index_fit380
  • 2026-08-05v0.2.0index_fit380
  • 2026-08-05v0.2.0index_fit380
  • 2026-08-05v0.2.0index_fit379
  • 2026-08-05v0.2.0index_fit379
  • 2026-08-05v0.2.0index_fit378
  • 2026-08-05v0.2.0index_fit377
  • 2026-08-05v0.2.0index_fit369
  • 2026-08-05v0.2.0index_fit369
  • 2026-08-05v0.2.0index_fit369
  • 2026-08-05v0.2.0index_fit369
  • 2026-08-05v0.2.0index_fit368
  • 2026-08-05v0.2.0index_fit370
  • 2026-08-05v0.2.0index_fit370
  • 2026-08-05v0.2.0index_fit366
  • 2026-08-05v0.2.0index_fit367
  • 2026-08-05v0.2.0index_fit369