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IBM: Granite 4.0 Micro

ibm-granite/granite-4.0-h-micro · ibm-granite · context 131 000 · in $0.017/1M · out $0.112/1M

Global Index

348

95% CI [325371] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic335 [295374]
0.0780.820.150.000259ms$0.033
code294 [264324]
0.0560.630.160.000229ms$0.010
instruction following232 [179285]
0.1390.740.380.481214ms$0.006
knowledge563 [419708]
0.4500.930.910.115312ms$0.003
math452 [382522]
0.2080.790.580.000362ms$0.023
multilingual288 [269307]
0.0290.740.100.000234ms$0.004
reasoning342 [310373]
0.0640.930.270.019314ms$0.004
terminal277 [248305]
0.0450.650.020.000350ms$0.008

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 4/30 correct
wrongagentic.tools.triage-v1conf 95% · 336ms · $0.000 · 200 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 → novak
- auth → okafor
- payments → tanaka

INCIDENTS:
1. "records missing after import" (category: data, priority 6)
2. "records missing after import" (category: data, priority 6)
3. "invoice total wrong" (category: payments, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 6 } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 6 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "tanaka" } } ]
wrongagentic.tools.ledger-v1conf 100% · 238ms · $0.000 · 156 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: $471
- delta: $519
- kilo: $819

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $402 from "delta" to "alpha"
2. pay $215 from "delta" to "alpha"
3. pay $537 from "delta" to "kilo"
4. pay $478 from "kilo" to "alpha"
5. pay $112 from "alpha" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 402}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 215}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 537}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 478}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 112}} ]
wrongagentic.tools.deploy-v1conf 100% · 817ms · $0.000 · 116 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: auth-svc
- reports: (none)
- auth-svc: reports
- 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 "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}} ]
wrongagentic.tools.context-load-v1conf 95% · 789ms · $0.000 · 42 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 (157 records, format: id|customer|region|item|qty|status):
```
1764|cobalt|north|sensor|69|shipped
1338|dorian|south|frame|79|shipped
1776|juno|south|cable|12|held
1454|gale|east|valve|68|shipped
1296|acme|south|pump|42|pending
1291|gale|south|cable|17|held
1575|juno|west|rotor|21|paid
1695|gale|south|pump|93|paid
1264|dorian|south|rotor|88|pending
1422|cobalt|east|valve|37|held
1492|gale|north|pump|62|paid
1270|acme|east|cable|26|pending
1394|fulton|east|valve|40|paid
1587|cobalt|north|gasket|61|paid
1754|fulton|south|cable|73|shipped
1511|acme|west|sensor|28|held
1408|juno|east|gasket|27|paid
1357|fulton|east|cable|35|paid
1536|harbor|east|rotor|48|held
1774|dorian|south|panel|28|pending
1205|fulton|east|frame|39|pending
1233|dorian|east|rotor|87|held
1460|acme|west|frame|79|shipped
1258|juno|west|cable|15|pending
1642|dorian|north|panel|22|shipped
1715|harbor|north|rotor|65|pending
1689|gale|south|gasket|35|shipped
1602|cobalt|south|gasket|85|pending
1399|ionic|east|rotor|61|paid
1441|juno|north|cable|61|pending
1758|gale|north|pump|14|pending
1683|cobalt|south|gasket|63|shipped
1523|harbor|south|valve|90|pending
1355|acme|east|gasket|90|paid
1739|ember|north|sensor|68|held
1255|ionic|east|frame|51|shipped
1578|juno|west|valve|76|pending
1788|ember|east|panel|21|paid
1332|birch|north|cable|18|shipped
1620|birch|east|panel|96|shipped
1652|ember|west|rotor|51|shipped
1621|harbor|west|pump|19|paid
1458|harbor|east|gasket|77|paid
1452|acme|north|pump|43|held
1248|acme|east|frame|15|pending
1247|fulton|north|valve|94|pending
1437|cobalt|north|cable|49|pending
1604|ember|west|gasket|57|shipped
1215|fulton|east|rotor|49|pending
1676|ember|north|pump|34|held
1678|gale|south|pump|52|held
1596|cobalt|east|valve|61|shipped
1559|harbor|north|valve|41|pending
1721|gale|west|panel|30|shipped
1209|fulton|west|cable|88|pending
1635|fulton|west|gasket|63|shipped
1343|juno|south|gasket|47|held
1625|ionic|west|frame|50|paid
1196|fulton|east|frame|74|pending
1508|fulton|west|panel|74|pending
1698|birch|west|gasket|22|shipped
1328|cobalt|east|valve|38|held
1387|ionic|west|sensor|76|shipped
1380|fulton|south|sensor|19|paid
1321|cobalt|east|pump|88|paid
1226|gale|north|gasket|60|pending
1520|cobalt|west|valve|26|held
1557|harbor|west|panel|91|pending
1349|birch|east|valve|73|shipped
1546|birch|east|valve|29|pending
1579|acme|west|cable|49|shipped
1418|fulton|east|frame|63|paid
1301|ionic|west|panel|51|paid
1784|birch|east|frame|20|paid
1242|gale|north|pump|77|held
1305|birch|north|panel|12|shipped
1787|birch|north|cable|15|shipped
1373|gale|south|pump|76|held
1631|gale|east|valve|96|paid
1794|cobalt|west|frame|77|held
1659|fulton|north|pump|14|pending
1619|dorian|east|rotor|47|pending
1533|dorian|north|sensor|67|paid
1568|harbor|east|cable|77|held
1368|ember|south|valve|64|held
1610|cobalt|east|cable|26|shipped
1499|ionic|east|valve|53|shipped
1703|ember|north|panel|77|pending
1483|dorian|east|cable|91|shipped
1370|harbor|west|gasket|16|pending
1731|dorian|south|sensor|27|paid
1277|fulton|north|rotor|74|paid
1545|juno|north|valve|51|held
1708|harbor|south|rotor|58|held
1416|cobalt|north|cable|41|pending
1530|harbor|east|rotor|12|shipped
1477|dorian|north|cable|11|shipped
1202|fulton|west|frame|93|pending
1770|acme|north|gasket|73|pending
1287|birch|east|valve|45|paid
1207|fulton|west|panel|25|paid
1496|acme|east|gasket|58|paid
1586|ionic|west|panel|87|paid
1650|acme|north|rotor|72|paid
1484|juno|north|sensor|42|pending
1391|juno|north|frame|65|paid
1720|acme|south|frame|92|paid
1318|gale|north|valve|88|pending
1549|cobalt|west|cable|92|pending
1238|dorian|south|cable|13|paid
1782|harbor|west|rotor|70|pending
1666|gale|south|pump|70|held
1316|fulton|north|pump|95|held
1540|gale|south|pump|79|pending
1726|ember|west|frame|29|pending
1252|dorian|south|cable|53|pending
1201|fulton|west|gasket|21|shipped
1488|harbor|north|frame|33|paid
1645|gale|south|rotor|14|pending
1476|fulton|west|rotor|38|held
1611|dorian|north|frame|16|shipped
1317|ionic|west|rotor|35|paid
1672|birch|south|frame|63|paid
1740|birch|east|pump|82|shipped
1470|ionic|north|gasket|86|paid
1513|fulton|east|rotor|43|pending
1266|gale|west|valve|77|paid
1446|gale|north|valve|60|held
1401|ember|east|gasket|56|pending
1222|fulton|west|valve|22|paid
1547|ionic|east|sensor|28|pending
1747|juno|south|panel|98|paid
1649|birch|west|frame|17|paid
1502|harbor|north|valve|66|held
1350|ember|south|sensor|74|held
1365|cobalt|west|sensor|84|pending
1561|juno|east|valve|39|shipped
1191|fulton|west|cable|64|pending
1734|dorian|south|panel|17|pending
1591|cobalt|north|valve|10|shipped
1412|fulton|north|pump|36|pending
1463|juno|east|valve|85|held
1435|gale|east|cable|76|paid
1629|ember|north|sensor|53|paid
1555|birch|south|cable|26|paid
1618|gale|north|sensor|71|pending
1728|gale|west|rotor|47|pending
1361|fulton|east|valve|82|held
1588|ionic|west|frame|27|paid
1429|harbor|south|cable|99|paid
1259|acme|east|frame|52|held
1543|gale|south|sensor|94|paid
1440|cobalt|north|rotor|29|held
1280|birch|west|rotor|52|shipped
1312|dorian|east|cable|50|pending
1762|ember|west|frame|47|paid
1292|dorian|south|sensor|15|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, 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": 1787 } } ]
wrongagentic.tools.triage-v1conf 95% · 577ms · $0.000 · 157 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 → chen
- auth → tanaka
- payments → novak

INCIDENTS:
1. "export file corrupted" (category: data, priority 4)
2. "SSO loop on login" (category: auth, priority 6)
3. "export file corrupted" (category: data, priority 4)
4. "dashboard shows stale numbers" (category: data, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 4 } }, { "tool": "create_ticket", "args": { "title": "SSO loop on login", "priority": 6 } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "chen" } } ]
wrongagentic.tools.ledger-v1conf 100% · 213ms · $0.000 · 130 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $205
- bravo: $620
- echo: $137

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $81 from "oscar" to "echo"
2. pay $597 from "bravo" to "echo"
3. pay $280 from "bravo" to "echo"
4. pay $320 from "echo" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 81}}, {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 597}}, {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 280}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 320}} ]
wrongagentic.tools.context-load-v1conf 95% · 231ms · $0.000 · 42 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 (211 records, format: id|customer|region|item|qty|status):
```
1812|ionic|west|frame|42|pending
1444|ember|east|gasket|76|pending
1615|acme|north|cable|59|pending
1951|acme|south|sensor|71|pending
1717|juno|east|frame|51|held
1510|fulton|west|valve|42|pending
2211|acme|east|pump|76|held
2236|harbor|south|panel|76|paid
1435|ember|west|valve|78|pending
1748|ionic|east|rotor|57|paid
1958|acme|west|frame|73|held
1822|gale|north|panel|49|held
2150|dorian|south|pump|62|pending
2174|acme|south|valve|18|held
1625|acme|south|cable|37|held
1933|gale|south|sensor|74|pending
1600|cobalt|south|cable|70|held
1880|ionic|south|valve|81|shipped
1874|cobalt|west|frame|22|shipped
1863|birch|north|frame|73|held
2072|harbor|south|sensor|19|shipped
1582|gale|north|gasket|55|held
1797|dorian|south|panel|18|pending
1685|harbor|west|panel|64|shipped
1728|acme|west|panel|19|pending
1535|juno|west|pump|98|shipped
1561|juno|west|rotor|86|shipped
2247|gale|south|gasket|52|held
2266|birch|west|valve|54|shipped
2032|ember|south|gasket|39|held
2045|acme|south|rotor|49|paid
1742|juno|south|sensor|35|shipped
1724|birch|north|valve|78|shipped
1802|dorian|west|gasket|86|held
2262|cobalt|west|panel|92|pending
1434|ember|east|panel|93|pending
1659|harbor|west|sensor|13|paid
1557|ember|east|frame|41|pending
2149|ionic|south|cable|32|held
1885|ember|south|frame|76|held
1486|harbor|north|sensor|83|paid
2180|cobalt|south|frame|72|shipped
2160|acme|south|pump|33|shipped
1970|birch|south|rotor|30|pending
1687|ionic|south|cable|76|paid
1701|harbor|north|valve|85|pending
1505|fulton|west|valve|45|held
1555|acme|east|gasket|30|paid
2059|fulton|north|valve|86|shipped
1841|dorian|west|gasket|50|shipped
2187|harbor|west|valve|60|pending
2258|ember|south|sensor|50|held
2100|ember|south|frame|37|pending
1899|harbor|east|panel|12|pending
1475|dorian|east|cable|68|paid
1735|gale|north|gasket|99|pending
2018|birch|west|frame|27|shipped
1546|ionic|north|pump|86|held
1963|harbor|west|panel|51|paid
2121|fulton|north|panel|52|held
1447|ember|west|valve|21|pending
1708|acme|east|gasket|75|pending
1975|cobalt|north|pump|57|paid
1846|harbor|east|rotor|10|shipped
2052|juno|east|sensor|75|pending
2161|gale|east|rotor|68|paid
1644|fulton|south|frame|16|held
1892|birch|north|frame|85|pending
1906|ionic|south|frame|91|shipped
1473|ember|east|rotor|86|paid
2002|acme|south|panel|17|held
1667|cobalt|south|panel|90|pending
2218|cobalt|west|panel|89|shipped
1786|dorian|west|cable|62|held
1856|juno|west|panel|57|paid
1471|ember|north|rotor|20|pending
1766|gale|east|cable|40|pending
1865|birch|north|gasket|72|paid
1953|cobalt|west|sensor|18|shipped
1998|harbor|west|cable|80|shipped
1516|juno|east|sensor|65|paid
1574|harbor|north|pump|31|held
2203|harbor|south|valve|73|held
1819|fulton|north|pump|78|paid
2137|harbor|east|rotor|50|pending
1523|harbor|south|panel|12|paid
2108|harbor|west|gasket|61|held
1936|harbor|west|pump|57|paid
1750|fulton|west|frame|88|held
1476|birch|north|sensor|92|held
2042|acme|north|sensor|67|pending
1550|gale|north|rotor|47|paid
1924|birch|north|sensor|27|paid
1744|harbor|north|cable|40|pending
1773|fulton|west|gasket|57|pending
2167|ionic|north|gasket|73|paid
1925|ember|south|sensor|87|shipped
2011|ember|south|rotor|97|held
1758|acme|north|sensor|69|pending
2172|ionic|south|gasket|83|pending
2214|ionic|west|sensor|53|pending
1633|fulton|north|panel|94|paid
1799|gale|south|gasket|26|shipped
1442|ember|east|pump|16|paid
1757|fulton|south|panel|53|held
2083|dorian|east|cable|40|shipped
2195|ember|west|valve|27|pending
2084|harbor|south|frame|73|shipped
2268|fulton|east|cable|27|pending
1917|cobalt|east|pump|12|held
2201|ionic|east|pump|42|held
2275|ionic|west|rotor|20|shipped
1985|acme|south|valve|13|pending
1479|fulton|west|cable|88|shipped
2153|harbor|north|rotor|44|shipped
1817|dorian|north|cable|58|pending
1531|cobalt|west|pump|29|pending
2130|cobalt|north|sensor|32|paid
1666|ionic|south|rotor|10|held
1493|fulton|east|sensor|89|held
1826|ember|east|panel|94|pending
1838|acme|west|valve|11|shipped
2282|ember|east|frame|71|pending
1632|ionic|south|valve|91|held
2061|cobalt|west|panel|80|shipped
1833|harbor|west|cable|57|paid
1596|acme|south|pump|27|held
2270|ember|south|rotor|36|shipped
2124|dorian|west|valve|13|shipped
2066|cobalt|north|cable|93|held
1530|juno|east|gasket|67|shipped
2252|fulton|north|sensor|34|pending
2144|ember|east|sensor|89|pending
1873|juno|south|cable|57|pending
1864|dorian|east|sensor|20|held
1913|ember|west|valve|19|paid
2038|ember|north|panel|72|shipped
1914|fulton|west|valve|27|paid
1457|ember|west|rotor|90|pending
1806|harbor|south|sensor|34|held
1648|juno|west|sensor|75|paid
1568|juno|west|valve|21|shipped
1646|fulton|east|sensor|92|held
1595|ember|south|frame|99|pending
2069|cobalt|west|cable|32|paid
2134|harbor|east|sensor|68|held
1588|ionic|west|panel|94|shipped
2227|birch|south|pump|26|pending
1991|ionic|east|gasket|86|pending
1454|ember|east|frame|99|pending
1978|dorian|east|cable|77|held
2240|gale|south|valve|97|held
2007|fulton|north|gasket|22|held
1780|ionic|east|cable|13|paid
2230|fulton|south|gasket|90|pending
1932|gale|north|panel|57|shipped
1619|gale|east|panel|46|paid
1811|dorian|north|cable|50|pending
2097|acme|west|sensor|72|pending
1610|harbor|north|gasket|95|pending
1465|ember|east|panel|88|pending
2208|birch|south|cable|40|pending
2114|cobalt|south|cable|90|held
1607|dorian|north|pump|70|shipped
2025|ionic|west|sensor|42|held
1942|cobalt|west|cable|82|paid
1692|ember|east|valve|89|shipped
1500|gale|west|panel|97|paid
2200|juno|north|rotor|70|paid
1749|juno|south|pump|94|shipped
1679|ionic|west|panel|24|pending
1640|fulton|east|valve|19|paid
1654|dorian|west|gasket|43|paid
1777|birch|south|gasket|14|held
1592|harbor|south|cable|84|pending
1852|dorian|east|gasket|75|held
1947|dorian|west|panel|51|pending
1575|juno|west|rotor|59|paid
1464|ember|east|rotor|73|shipped
2221|cobalt|east|valve|54|paid
1910|harbor|west|rotor|15|shipped
2078|acme|west|rotor|37|pending
2092|dorian|east|frame|73|held
1793|juno|north|sensor|47|paid
1715|cobalt|south|sensor|57|shipped
2106|harbor|east|panel|34|held
2188|gale|east|frame|41|pending
2225|dorian|south|sensor|10|shipped
1997|cobalt|south|cable|40|shipped
1939|cobalt|north|cable|85|shipped
2191|juno|south|sensor|10|shipped
1599|acme|south|rotor|55|pending
2044|harbor|west|cable|43|shipped
1866|fulton|east|cable|42|shipped
2182|dorian|north|cable|74|paid
2087|ember|west|pump|74|shipped
2098|acme|west|cable|80|shipped
1696|cobalt|west|rotor|56|shipped
1938|dorian|south|sensor|22|shipped
1453|ember|east|gasket|42|shipped
1489|harbor|east|cable|37|held
1759|gale|south|panel|42|shipped
1882|harbor|south|pump|89|shipped
1981|cobalt|south|gasket|35|held
2070|harbor|west|frame|75|paid
2181|acme|east|sensor|15|shipped
1552|ember|west|frame|91|held
2073|juno|south|sensor|31|held
1539|harbor|east|pump|25|shipped
1966|ionic|west|frame|94|pending
1672|juno|west|sensor|55|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "cancel_order", "args": { "order_id": 1717 } } ]
wrongagentic.tools.deploy-v1conf 100% · 194ms · $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):
- gateway: notifier
- search: gateway, notifier
- auth-svc: notifier
- notifier: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "search"}} ]
wrongagentic.tools.triage-v1conf 100% · 254ms · $0.000 · 292 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 8)
2. "records missing after import" (category: data, priority 3)
3. "cannot reset password" (category: auth, priority 8)
4. "cannot reset password" (category: auth, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "cannot reset password", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-3" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "haddad" } } ]
correctagentic.tools.ledger-v1conf 100% · 420ms · $0.000 · 134 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: $823
- kilo: $429
- bravo: $780

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $382 from "kilo" to "bravo"
2. pay $591 from "bravo" to "kilo"
3. pay $598 from "lima" to "kilo"
4. pay $479 from "bravo" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 382}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 591}}, {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 598}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 479}} ]
wrongagentic.tools.deploy-v1conf 100% · 303ms · $0.000 · 131 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: search
- reports: search
- search: (none)
- gateway: notifier, 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": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.triage-v1conf 95% · 122ms · $0.000 · 311 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 → dubois
- payments → haddad
- auth → okafor

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 4)
2. "invoice total wrong" (category: payments, priority 5)
3. "invoice total wrong" (category: payments, priority 5)
4. "export file corrupted" (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": "dashboard shows stale numbers", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "haddad" } }, { "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": "export file corrupted", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "dubois" } } ]
wrongagentic.tools.context-load-v1conf 95% · 364ms · $0.000 · 42 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 (132 records, format: id|customer|region|item|qty|status):
```
1403|fulton|east|frame|81|pending
1687|gale|east|pump|13|shipped
1681|dorian|east|valve|23|shipped
1691|juno|east|rotor|16|shipped
1629|ember|south|sensor|86|paid
1672|dorian|east|pump|33|held
1490|ionic|south|valve|39|pending
1759|ember|east|rotor|94|pending
1326|dorian|south|panel|15|pending
1768|ionic|north|cable|69|held
1527|juno|east|cable|30|held
1431|ionic|east|gasket|44|held
1572|acme|west|panel|28|held
1580|birch|west|cable|13|pending
1637|ionic|north|cable|16|pending
1773|cobalt|south|frame|22|paid
1320|ionic|east|sensor|91|pending
1550|ember|west|pump|80|paid
1325|ionic|south|panel|36|paid
1522|gale|east|frame|18|shipped
1394|juno|north|gasket|32|paid
1410|juno|north|cable|91|pending
1698|acme|west|rotor|28|pending
1285|ionic|south|cable|71|pending
1579|fulton|west|pump|22|paid
1450|ember|east|rotor|22|shipped
1441|dorian|south|valve|28|pending
1593|acme|north|cable|92|pending
1634|harbor|east|valve|74|held
1661|juno|west|cable|95|held
1665|ionic|west|valve|14|paid
1761|harbor|south|gasket|58|held
1359|acme|south|panel|13|held
1381|gale|west|cable|37|paid
1547|cobalt|west|frame|71|shipped
1526|ionic|west|panel|21|pending
1483|juno|west|sensor|65|pending
1693|fulton|west|frame|17|shipped
1619|birch|north|gasket|26|pending
1399|ember|south|cable|79|pending
1385|harbor|east|pump|42|pending
1353|ionic|east|pump|96|shipped
1311|ionic|south|pump|47|paid
1692|ionic|north|pump|33|held
1747|dorian|west|panel|34|pending
1719|ionic|south|gasket|40|held
1464|birch|north|panel|61|pending
1563|gale|west|valve|46|shipped
1309|ionic|north|valve|89|pending
1308|ionic|south|sensor|81|pending
1463|harbor|west|frame|63|shipped
1469|ionic|south|gasket|72|paid
1437|fulton|north|pump|63|shipped
1537|cobalt|east|pump|32|paid
1597|ember|north|valve|78|held
1754|ionic|west|pump|51|paid
1772|cobalt|west|gasket|25|paid
1585|harbor|east|panel|55|shipped
1485|ionic|south|pump|99|pending
1346|birch|north|rotor|92|paid
1400|ionic|south|cable|35|paid
1699|birch|south|frame|72|paid
1736|cobalt|south|valve|17|paid
1475|birch|east|panel|31|shipped
1598|harbor|north|frame|34|held
1770|cobalt|west|sensor|87|paid
1545|juno|south|pump|65|shipped
1519|acme|north|pump|33|held
1532|birch|south|pump|70|held
1678|dorian|west|pump|48|pending
1778|harbor|south|pump|28|pending
1760|cobalt|south|sensor|53|held
1566|dorian|north|pump|51|held
1655|gale|west|frame|46|paid
1316|ionic|south|panel|42|pending
1292|ionic|east|rotor|91|pending
1280|ionic|south|panel|99|held
1480|birch|west|frame|41|paid
1415|ember|west|valve|14|paid
1418|harbor|south|rotor|60|shipped
1700|harbor|west|frame|63|shipped
1486|fulton|south|pump|97|paid
1502|fulton|north|valve|70|held
1453|cobalt|west|sensor|90|shipped
1624|harbor|north|cable|42|shipped
1445|fulton|west|valve|20|shipped
1723|harbor|north|pump|45|paid
1495|cobalt|west|gasket|60|held
1644|cobalt|east|rotor|76|pending
1369|acme|east|frame|80|shipped
1576|harbor|south|frame|65|shipped
1709|ionic|west|pump|23|pending
1305|ionic|north|panel|52|pending
1386|juno|north|rotor|33|paid
1530|harbor|east|frame|88|held
1735|gale|north|pump|39|pending
1344|cobalt|east|gasket|65|held
1337|cobalt|north|panel|47|pending
1743|ionic|north|valve|51|shipped
1554|ionic|north|panel|99|paid
1615|gale|north|gasket|66|shipped
1306|ionic|south|frame|12|paid
1508|ionic|east|pump|94|shipped
1617|cobalt|west|rotor|56|shipped
1648|ember|west|sensor|43|held
1465|fulton|south|rotor|43|shipped
1542|fulton|east|panel|42|paid
1744|harbor|west|panel|72|held
1332|gale|south|sensor|93|held
1560|juno|north|sensor|82|paid
1389|dorian|east|rotor|53|pending
1275|ionic|north|rotor|44|pending
1296|ionic|south|sensor|96|paid
1612|fulton|north|panel|36|paid
1376|birch|south|cable|90|paid
1421|ember|east|valve|29|held
1567|gale|east|rotor|47|shipped
1271|ionic|south|panel|75|pending
1728|fulton|west|frame|77|pending
1605|harbor|south|frame|70|pending
1591|ember|east|panel|88|pending
1351|ember|west|sensor|49|paid
1702|acme|west|cable|80|shipped
1456|fulton|north|panel|14|pending
1362|cobalt|north|cable|48|shipped
1300|ionic|south|valve|54|pending
1712|fulton|north|frame|85|shipped
1427|birch|west|pump|34|paid
1713|cobalt|east|rotor|28|paid
1513|juno|south|cable|46|shipped
1509|gale|south|sensor|57|pending
1641|dorian|north|rotor|83|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "cancel_order", "args": { "order_id": 1326 } } ]
correctagentic.tools.ledger-v1conf 100% · 217ms · $0.000 · 158 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: $536
- lima: $343
- echo: $776

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $333 from "alpha" to "lima"
2. pay $290 from "echo" to "lima"
3. pay $118 from "alpha" to "echo"
4. pay $550 from "lima" to "alpha"
5. pay $184 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": "alpha", "to": "lima", "amount": 333}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 290}}, {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 118}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 550}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 184}} ]
correctagentic.tools.deploy-v1conf 100% · 386ms · $0.000 · 95 tok
question
You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
wrongagentic.tools.context-load-v1conf 100% · 246ms · $0.000 · 42 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 (233 records, format: id|customer|region|item|qty|status):
```
1637|juno|south|sensor|16|paid
1510|fulton|west|pump|83|pending
1911|acme|south|panel|39|pending
1505|cobalt|east|rotor|37|shipped
1708|acme|north|rotor|42|paid
1315|ionic|south|panel|58|pending
1307|dorian|south|frame|53|pending
1425|ionic|north|rotor|81|held
1700|acme|south|cable|76|shipped
1263|birch|west|gasket|97|held
1283|acme|east|panel|37|paid
1094|harbor|south|frame|87|pending
1935|gale|north|pump|92|paid
1678|birch|south|valve|54|paid
1342|juno|west|pump|49|paid
1156|ember|south|sensor|22|pending
1758|ionic|west|pump|85|held
1602|fulton|west|cable|22|shipped
1368|acme|north|cable|76|shipped
1209|ember|north|cable|59|pending
1921|gale|east|pump|90|paid
1905|gale|north|pump|51|shipped
1777|cobalt|north|valve|13|pending
1664|fulton|east|pump|98|paid
1694|cobalt|east|panel|36|paid
1521|fulton|north|rotor|20|shipped
1186|birch|north|cable|45|held
2001|birch|east|cable|71|held
1539|dorian|east|gasket|99|held
1955|ionic|north|cable|85|paid
1774|harbor|north|pump|47|paid
1093|harbor|south|pump|15|shipped
1394|gale|south|cable|69|shipped
1432|ionic|north|panel|38|pending
1683|ember|north|frame|93|pending
1320|ionic|west|panel|15|paid
1325|fulton|west|sensor|97|shipped
1406|ionic|east|sensor|59|shipped
1144|harbor|east|sensor|15|shipped
1370|ember|south|sensor|19|held
1179|birch|west|sensor|64|pending
1756|acme|north|cable|47|shipped
1258|birch|north|cable|72|shipped
1279|ember|north|cable|61|pending
1550|ember|north|pump|46|shipped
1529|harbor|west|frame|30|shipped
1740|fulton|south|frame|84|shipped
1603|dorian|west|frame|26|paid
1970|dorian|east|gasket|43|held
1604|acme|west|sensor|90|pending
1148|cobalt|west|gasket|99|held
1926|gale|north|cable|24|shipped
1167|dorian|east|sensor|68|paid
1408|acme|north|frame|38|paid
1373|cobalt|south|sensor|66|pending
1988|acme|east|gasket|72|shipped
1809|cobalt|east|pump|17|paid
1313|juno|south|gasket|98|paid
1966|gale|east|valve|93|held
1725|gale|north|sensor|70|pending
1611|ionic|south|rotor|52|pending
1933|cobalt|south|gasket|43|shipped
1595|juno|west|rotor|86|paid
1822|harbor|north|pump|76|paid
1110|harbor|east|rotor|20|pending
1281|cobalt|north|valve|32|held
1711|juno|west|valve|26|paid
1352|dorian|north|sensor|46|pending
1978|ionic|west|cable|68|paid
1840|juno|west|cable|47|shipped
1384|cobalt|north|panel|68|pending
1586|juno|north|panel|17|paid
1943|ember|south|gasket|26|shipped
1338|acme|west|panel|10|paid
1310|acme|north|valve|21|paid
1200|fulton|south|pump|44|held
1546|ionic|east|pump|24|paid
1240|ionic|south|pump|60|shipped
1326|dorian|east|pump|67|shipped
1126|cobalt|south|pump|77|shipped
1174|ember|east|valve|67|shipped
1124|harbor|south|sensor|66|held
1446|juno|east|sensor|58|pending
1211|dorian|west|rotor|74|held
1522|dorian|east|valve|49|shipped
1816|harbor|west|frame|91|pending
1987|ember|north|gasket|55|paid
1588|acme|south|pump|76|pending
1168|dorian|north|panel|49|paid
1332|birch|east|pump|47|shipped
1161|acme|east|rotor|17|held
1645|dorian|west|rotor|76|shipped
1655|fulton|south|sensor|30|held
1358|dorian|east|rotor|34|pending
1137|juno|south|frame|12|shipped
1638|fulton|north|panel|41|shipped
1871|acme|east|gasket|72|paid
1317|gale|west|gasket|68|shipped
1730|acme|east|cable|17|paid
1577|acme|north|sensor|66|shipped
1454|birch|east|rotor|82|held
1106|harbor|south|gasket|91|pending
1804|ember|east|frame|84|pending
1115|harbor|south|valve|33|held
1323|fulton|north|cable|56|paid
1101|harbor|south|rotor|14|paid
1226|gale|west|frame|40|shipped
1494|juno|north|pump|41|pending
1222|birch|south|valve|36|shipped
1783|harbor|west|pump|30|held
1972|juno|east|valve|42|shipped
1798|acme|east|valve|43|held
1079|harbor|east|valve|87|pending
1390|dorian|north|cable|38|pending
1951|acme|east|panel|60|pending
1878|juno|west|cable|52|held
1652|ionic|south|gasket|16|held
1119|harbor|east|gasket|57|pending
1846|gale|east|sensor|15|held
1465|ember|north|gasket|44|pending
1621|fulton|west|cable|60|pending
1083|harbor|south|frame|91|pending
1991|dorian|west|frame|46|paid
1424|ember|west|frame|40|pending
1850|birch|north|pump|72|pending
1636|ember|east|frame|13|paid
1290|fulton|west|sensor|76|pending
1231|acme|east|sensor|43|paid
1478|fulton|east|gasket|64|pending
1473|ember|south|valve|59|paid
1956|fulton|west|panel|83|shipped
1750|dorian|west|gasket|26|shipped
1626|ember|west|valve|53|held
1832|fulton|west|pump|54|shipped
1765|fulton|north|rotor|64|paid
1448|ionic|south|pump|36|held
1672|dorian|west|sensor|23|held
1947|fulton|south|gasket|61|pending
1296|birch|north|cable|91|shipped
1766|harbor|north|pump|18|pending
1985|cobalt|south|valve|79|pending
1518|fulton|east|rotor|62|pending
1631|dorian|west|sensor|36|shipped
1566|juno|west|valve|31|paid
1135|gale|north|cable|22|pending
1193|ionic|east|gasket|13|paid
1337|cobalt|west|valve|99|held
1362|gale|west|frame|66|pending
1555|gale|south|pump|42|shipped
1802|juno|west|frame|25|paid
1251|cobalt|west|panel|90|shipped
1866|cobalt|west|rotor|21|pending
1984|ember|east|sensor|75|held
1699|birch|north|panel|62|paid
1380|gale|west|pump|92|shipped
1961|acme|west|sensor|60|shipped
1513|gale|east|valve|95|held
1644|juno|east|cable|48|paid
1418|fulton|west|sensor|89|held
1759|cobalt|east|panel|56|held
1648|gale|east|valve|45|paid
1837|dorian|west|panel|56|shipped
1857|juno|west|sensor|45|shipped
1572|acme|north|valve|87|held
1090|harbor|north|panel|28|pending
1687|acme|north|rotor|53|shipped
1919|birch|west|gasket|72|paid
1216|ember|north|valve|46|pending
1080|harbor|south|panel|37|paid
1345|gale|south|valve|55|shipped
1720|harbor|east|pump|64|shipped
1851|acme|north|frame|30|paid
1116|harbor|south|rotor|90|pending
1099|harbor|east|frame|77|pending
1404|ionic|south|valve|24|pending
1512|harbor|east|rotor|53|pending
1431|juno|west|panel|74|paid
1308|birch|north|pump|50|shipped
1306|juno|south|sensor|40|shipped
1075|harbor|south|panel|23|pending
1769|acme|west|pump|34|shipped
1272|ionic|west|valve|18|shipped
1916|dorian|south|gasket|36|shipped
1992|gale|north|pump|62|shipped
1743|fulton|west|frame|27|pending
1679|fulton|south|pump|37|pending
1718|cobalt|west|cable|46|shipped
1501|ionic|north|cable|24|held
1482|dorian|west|valve|70|pending
1893|acme|east|frame|76|paid
1439|dorian|north|panel|68|shipped
1157|birch|east|valve|46|shipped
1411|juno|north|rotor|51|held
1681|juno|south|pump|37|held
1731|gale|east|sensor|56|shipped
1401|birch|south|rotor|44|held
1227|dorian|south|cable|49|shipped
1487|ember|north|frame|11|held
1257|acme|north|rotor|25|shipped
1580|ember|north|panel|33|paid
1134|fulton|west|valve|52|pending
1559|juno|east|panel|86|pending
1790|gale|east|cable|67|paid
1615|cobalt|north|valve|68|held
1797|fulton|south|rotor|86|paid
1659|cobalt|east|panel|20|shipped
1736|ionic|east|frame|17|paid
1300|birch|south|sensor|12|shipped
1887|gale|south|frame|40|held
1821|juno|north|frame|55|held
1127|harbor|west|frame|88|pending
1722|ember|east|panel|63|shipped
1705|birch|east|cable|75|pending
1269|harbor|west|valve|69|pending
1891|acme|east|frame|41|held
1873|birch|east|frame|69|paid
1826|gale|west|rotor|81|pending
1862|fulton|north|panel|48|paid
1995|fulton|north|sensor|85|held
1884|fulton|east|sensor|71|held
1472|harbor|east|sensor|39|paid
1794|harbor|north|panel|63|held
1533|gale|west|cable|54|shipped
1382|harbor|north|rotor|20|shipped
1493|fulton|east|pump|94|shipped
1207|birch|east|cable|23|paid
1458|juno|west|panel|26|shipped
1900|harbor|north|valve|63|held
1154|fulton|east|cable|90|paid
1245|ionic|east|cable|56|shipped
1237|dorian|west|frame|26|shipped
1666|ionic|west|panel|58|pending
1936|harbor|west|frame|25|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "cancel_order", "args": { "order_id": 1315 } } ]
wrongagentic.tools.ledger-v1conf 100% · 1.4s · $0.000 · 158 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $389
- oscar: $270
- alpha: $452

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $95 from "delta" to "alpha"
2. pay $445 from "oscar" to "alpha"
3. pay $88 from "alpha" to "oscar"
4. pay $489 from "oscar" to "alpha"
5. pay $598 from "delta" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 95}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 445}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 88}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 489}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 598}} ]
wrongagentic.tools.triage-v1conf 95% · 366ms · $0.000 · 237 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "refund double-charged" (category: payments, priority 9)
2. "API latency spikes" (category: infra, priority 3)
3. "refund double-charged" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 9 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 9 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-1" } } ]
wrongagentic.tools.context-load-v1conf 95% · 171ms · $0.000 · 42 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (225 records, format: id|customer|region|item|qty|status):
```
1983|ember|south|panel|24|paid
1620|juno|south|cable|73|held
1243|harbor|east|sensor|29|pending
1449|cobalt|east|gasket|13|shipped
1560|gale|north|gasket|71|pending
1400|gale|south|valve|74|pending
2115|cobalt|north|frame|11|shipped
1500|gale|east|rotor|59|paid
1310|juno|north|panel|33|paid
1703|ionic|south|panel|89|held
1543|ionic|south|gasket|90|pending
1708|ember|south|sensor|38|shipped
1277|harbor|west|sensor|56|held
2081|ember|east|valve|88|shipped
1734|cobalt|west|cable|19|held
1927|cobalt|west|panel|92|paid
1374|dorian|south|panel|31|held
1487|dorian|south|cable|55|pending
1423|harbor|east|pump|80|pending
1744|harbor|west|pump|35|held
1375|acme|east|pump|54|pending
1552|harbor|south|sensor|40|held
2132|ionic|east|valve|82|held
1733|cobalt|north|cable|11|held
1762|juno|west|pump|11|paid
1833|dorian|east|gasket|22|paid
1418|ember|south|rotor|22|shipped
1701|dorian|north|frame|35|shipped
1823|ionic|west|panel|65|paid
1557|gale|west|rotor|33|paid
2112|cobalt|south|cable|65|shipped
1736|ionic|north|rotor|38|shipped
2129|birch|north|rotor|76|shipped
1336|juno|west|gasket|98|pending
1903|acme|east|pump|96|held
1453|juno|west|gasket|26|pending
1443|ember|south|panel|15|pending
1257|harbor|west|sensor|60|pending
1505|ember|north|valve|91|shipped
1759|fulton|south|pump|39|held
1529|cobalt|south|gasket|67|pending
2117|dorian|north|sensor|58|held
1854|ember|east|cable|96|pending
1889|fulton|north|pump|44|shipped
1692|ionic|north|rotor|66|paid
2104|birch|east|gasket|32|paid
1900|harbor|east|panel|11|held
1491|acme|west|cable|77|paid
1600|gale|north|valve|39|paid
1746|acme|south|frame|71|paid
2059|dorian|east|panel|20|paid
1532|fulton|west|sensor|90|pending
1694|acme|north|sensor|13|held
1493|harbor|east|gasket|56|paid
2046|dorian|north|valve|62|paid
1891|fulton|north|valve|80|paid
2083|ionic|north|pump|67|shipped
1635|harbor|south|valve|74|paid
1480|ember|south|gasket|77|held
1909|dorian|north|cable|27|pending
1999|juno|north|pump|72|pending
1876|ember|south|valve|68|paid
2089|birch|east|rotor|15|paid
1783|fulton|east|sensor|41|paid
1283|birch|east|valve|21|paid
1754|ember|south|valve|97|shipped
1994|birch|east|panel|42|shipped
1984|cobalt|west|rotor|69|shipped
1629|acme|west|panel|43|pending
1861|gale|west|frame|94|held
2026|ember|north|gasket|67|pending
1932|harbor|west|cable|27|shipped
1572|gale|west|frame|28|shipped
2048|fulton|south|panel|65|shipped
1312|fulton|north|gasket|55|shipped
1574|juno|east|gasket|21|held
1440|harbor|west|frame|42|paid
1787|juno|east|frame|16|held
1300|ionic|west|cable|90|held
1720|dorian|north|gasket|19|shipped
1990|birch|west|sensor|17|held
1668|ember|west|gasket|11|held
1411|dorian|south|sensor|35|paid
2072|ember|north|panel|70|paid
1349|juno|north|gasket|50|shipped
1649|harbor|west|rotor|24|paid
1846|juno|south|gasket|30|paid
1358|fulton|south|frame|22|shipped
1551|ionic|north|rotor|63|pending
1328|ionic|north|gasket|48|shipped
1255|harbor|north|pump|63|pending
1385|gale|south|frame|53|paid
1624|ionic|west|pump|39|held
1514|cobalt|east|frame|12|held
1681|fulton|west|pump|67|paid
2107|fulton|south|gasket|82|held
1779|acme|south|panel|68|held
1555|fulton|south|panel|91|paid
2021|juno|west|gasket|81|shipped
1236|harbor|west|panel|89|pending
2138|birch|south|rotor|90|paid
1372|cobalt|west|frame|99|held
1348|gale|south|panel|68|held
2053|dorian|west|rotor|96|paid
1848|gale|east|rotor|29|shipped
1938|fulton|north|sensor|92|pending
1431|cobalt|east|pump|20|paid
1811|ionic|east|panel|82|shipped
1959|harbor|north|cable|97|pending
2093|harbor|west|valve|25|held
1522|birch|east|gasket|76|paid
1654|cobalt|east|pump|86|paid
1380|acme|west|gasket|49|held
1646|fulton|east|panel|93|pending
1894|cobalt|north|panel|49|shipped
1272|harbor|west|gasket|68|pending
2098|gale|west|rotor|37|paid
1872|fulton|south|gasket|75|paid
1749|fulton|east|cable|94|held
2094|juno|south|gasket|92|shipped
1752|harbor|east|cable|61|paid
1640|dorian|east|rotor|42|shipped
1537|cobalt|north|cable|81|pending
2014|ionic|east|cable|76|shipped
1249|harbor|west|panel|27|shipped
1970|cobalt|south|cable|46|paid
1433|harbor|east|panel|22|held
1806|ember|east|panel|22|shipped
1981|acme|north|cable|28|pending
1223|harbor|west|rotor|37|pending
1428|ember|north|frame|90|held
1323|ember|east|cable|86|held
1975|birch|east|gasket|71|held
1508|ionic|north|frame|23|held
1641|dorian|east|gasket|23|paid
1519|acme|west|panel|61|held
1611|cobalt|south|panel|97|pending
1230|harbor|west|pump|68|held
2043|harbor|west|cable|12|held
1841|acme|south|rotor|38|held
1913|dorian|south|pump|72|paid
1674|fulton|north|frame|36|held
1390|ember|east|rotor|60|held
1256|harbor|west|rotor|34|paid
1715|acme|south|sensor|11|shipped
2067|acme|south|rotor|22|held
1476|gale|south|panel|93|paid
1546|juno|north|panel|66|held
1297|harbor|north|sensor|39|held
1513|acme|south|sensor|56|shipped
1259|harbor|north|sensor|96|pending
1265|harbor|west|frame|53|held
1276|harbor|south|rotor|70|pending
1799|dorian|west|cable|93|held
1942|birch|east|pump|75|paid
1464|acme|east|gasket|69|pending
1350|fulton|north|rotor|61|held
1291|acme|west|rotor|32|held
1608|birch|east|sensor|90|shipped
1952|juno|south|frame|32|pending
1577|gale|south|gasket|92|shipped
2061|birch|east|pump|97|pending
2037|cobalt|south|sensor|81|paid
1477|fulton|south|panel|20|held
1450|harbor|east|sensor|97|held
1838|harbor|north|panel|38|shipped
1676|ionic|south|sensor|49|held
1229|harbor|north|cable|47|pending
1727|ember|east|sensor|44|pending
1735|birch|west|pump|65|shipped
1558|cobalt|east|gasket|66|held
1596|birch|south|sensor|63|held
1769|birch|west|valve|51|held
1945|birch|east|pump|85|shipped
1252|harbor|west|gasket|20|pending
2090|fulton|south|gasket|42|paid
1341|dorian|south|pump|45|paid
1661|dorian|east|valve|90|held
2123|dorian|north|rotor|10|paid
1717|acme|north|panel|31|held
1924|juno|north|cable|56|paid
1985|juno|east|panel|47|pending
1615|cobalt|west|valve|84|paid
1773|ember|west|valve|37|shipped
1669|ionic|east|pump|43|shipped
2065|ember|south|pump|77|shipped
1818|ember|west|rotor|66|held
1338|juno|north|sensor|27|held
1591|birch|south|pump|33|held
1307|gale|south|rotor|16|shipped
2070|gale|south|frame|37|shipped
1356|ionic|west|pump|65|held
2030|acme|east|rotor|29|held
1365|dorian|south|valve|94|held
1916|fulton|west|panel|69|pending
1866|harbor|north|cable|40|held
1688|birch|north|sensor|12|shipped
1404|cobalt|south|valve|18|pending
1332|ionic|north|panel|54|held
2064|dorian|north|valve|17|shipped
1502|juno|north|panel|31|shipped
1902|birch|south|rotor|99|pending
1460|fulton|east|gasket|15|paid
1650|birch|north|frame|76|paid
1797|ember|south|pump|62|held
2005|juno|north|sensor|70|paid
1793|cobalt|south|frame|33|pending
1317|ionic|east|sensor|87|pending
2012|ember|north|frame|81|held
1469|acme|east|rotor|14|paid
1920|gale|east|frame|44|shipped
1827|birch|south|cable|33|held
1314|harbor|north|panel|27|pending
1584|gale|south|cable|49|shipped
2075|cobalt|west|valve|40|paid
1738|juno|north|valve|30|pending
1607|gale|south|sensor|15|pending
1395|harbor|west|pump|61|pending
1940|gale|north|pump|47|held
1566|acme|north|sensor|10|shipped
1946|birch|south|gasket|26|pending
1965|ionic|west|pump|41|held
1724|harbor|west|frame|11|pending
1882|ember|west|sensor|25|paid
1285|harbor|west|panel|24|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, 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": 1377 } } ]
wrongagentic.tools.deploy-v1conf 100% · 210ms · $0.000 · 81 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}} ]
wrongagentic.tools.ledger-v1conf 100% · 163ms · $0.000 · 183 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $467
- alpha: $720
- echo: $776

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $238 from "alpha" to "echo"
2. pay $457 from "alpha" to "echo"
3. pay $595 from "oscar" to "echo"
4. pay $153 from "oscar" to "alpha"
5. pay $495 from "oscar" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 238}}, {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 457}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 595}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 153}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 153}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 495}} ]
wrongagentic.tools.triage-v1conf 95% · 126ms · $0.000 · 191 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "card declined at checkout" (category: payments, priority 3)
3. "records missing after import" (category: data, 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": "card declined at checkout", "priority": 3 } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 3 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "dubois" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "rivera" } } ]
wrongagentic.tools.context-load-v1conf 95% · 703ms · $0.000 · 42 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (122 records, format: id|customer|region|item|qty|status):
```
1515|harbor|south|cable|96|pending
1655|fulton|south|panel|43|held
1261|cobalt|south|valve|23|pending
1362|gale|south|gasket|47|paid
1369|cobalt|south|rotor|20|shipped
1236|cobalt|east|pump|19|shipped
1636|cobalt|east|panel|77|paid
1697|acme|east|frame|17|pending
1406|gale|south|panel|88|shipped
1610|ionic|east|pump|52|shipped
1586|cobalt|north|pump|52|held
1605|ionic|south|panel|65|held
1216|cobalt|north|gasket|28|pending
1553|gale|west|panel|81|pending
1621|juno|east|cable|65|paid
1574|birch|north|rotor|54|shipped
1250|cobalt|east|valve|75|paid
1405|cobalt|west|pump|14|shipped
1533|cobalt|east|frame|87|pending
1615|acme|west|sensor|63|shipped
1644|ember|south|gasket|41|paid
1271|cobalt|east|gasket|77|pending
1505|fulton|east|sensor|41|paid
1339|cobalt|east|valve|18|paid
1446|harbor|south|valve|59|shipped
1669|juno|north|sensor|79|paid
1468|gale|north|panel|49|shipped
1716|cobalt|south|cable|96|pending
1478|dorian|east|sensor|41|pending
1593|juno|east|valve|58|paid
1309|fulton|north|cable|79|shipped
1367|fulton|west|sensor|70|pending
1557|harbor|east|pump|81|shipped
1217|cobalt|east|cable|29|held
1431|harbor|east|panel|58|paid
1387|gale|west|rotor|88|paid
1491|ionic|south|valve|83|pending
1642|dorian|east|pump|53|paid
1375|juno|north|frame|81|shipped
1576|harbor|east|sensor|40|paid
1289|harbor|south|frame|72|held
1483|birch|west|frame|46|held
1706|juno|west|cable|67|held
1657|acme|north|sensor|72|shipped
1224|cobalt|east|rotor|78|pending
1637|acme|north|rotor|27|pending
1416|harbor|west|rotor|50|shipped
1398|cobalt|west|valve|19|shipped
1350|ember|north|pump|91|paid
1675|birch|south|panel|95|paid
1460|gale|south|sensor|81|held
1395|fulton|east|cable|25|paid
1707|ionic|north|sensor|63|held
1566|ember|west|cable|51|paid
1584|cobalt|south|cable|87|held
1595|fulton|east|gasket|87|paid
1255|cobalt|east|cable|52|pending
1699|gale|north|pump|37|paid
1559|fulton|west|gasket|66|paid
1266|cobalt|east|frame|64|paid
1323|dorian|north|panel|69|held
1433|cobalt|west|valve|21|paid
1439|juno|west|frame|16|pending
1688|fulton|north|valve|40|held
1578|cobalt|west|valve|78|paid
1241|cobalt|east|rotor|26|pending
1481|cobalt|east|pump|45|held
1334|dorian|north|sensor|49|pending
1490|birch|north|valve|69|held
1214|cobalt|east|cable|41|pending
1464|ionic|north|frame|87|held
1681|juno|south|pump|35|pending
1510|dorian|east|frame|16|shipped
1410|harbor|west|frame|71|held
1526|cobalt|west|gasket|39|pending
1453|ionic|north|panel|73|paid
1499|ember|south|panel|15|pending
1501|fulton|east|rotor|93|shipped
1283|cobalt|east|valve|88|paid
1503|ionic|east|rotor|94|held
1423|fulton|west|gasket|22|pending
1539|fulton|west|sensor|33|paid
1247|cobalt|north|rotor|56|pending
1302|juno|south|panel|45|held
1359|harbor|west|valve|39|pending
1570|dorian|north|valve|90|paid
1714|dorian|east|panel|64|pending
1296|gale|west|rotor|17|held
1702|gale|west|rotor|72|paid
1726|cobalt|west|frame|71|held
1540|gale|south|panel|92|pending
1558|fulton|east|frame|87|pending
1634|gale|north|frame|46|pending
1330|dorian|south|sensor|48|shipped
1278|cobalt|west|cable|45|pending
1521|acme|west|frame|91|pending
1709|cobalt|west|sensor|42|shipped
1664|ionic|north|frame|90|paid
1231|cobalt|west|valve|79|pending
1670|ember|north|frame|35|shipped
1382|gale|west|sensor|65|pending
1312|acme|north|pump|33|paid
1650|dorian|east|valve|39|paid
1393|fulton|east|sensor|91|shipped
1628|juno|north|frame|90|held
1542|birch|west|sensor|24|paid
1427|ember|east|pump|52|held
1345|cobalt|north|frame|64|paid
1692|acme|west|frame|32|paid
1678|cobalt|south|cable|59|held
1674|harbor|south|gasket|73|paid
1380|birch|west|frame|62|shipped
1496|fulton|north|rotor|89|pending
1547|birch|east|cable|41|paid
1318|harbor|west|sensor|30|paid
1600|cobalt|south|gasket|41|pending
1353|ionic|east|valve|13|held
1404|cobalt|east|cable|64|paid
1694|fulton|south|pump|94|held
1568|gale|south|valve|76|pending
1471|gale|west|cable|12|paid
1723|juno|north|cable|61|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "cancel_order", "args": { "order_id": 1716 } } ]
wrongagentic.tools.deploy-v1conf 100% · 217ms · $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):
- gateway: auth-svc
- billing: notifier
- notifier: auth-svc
- auth-svc: (none)

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
wrongagentic.tools.triage-v1conf 100% · 224ms · $0.000 · 228 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 → tanaka
- infra → novak
- data → rivera

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 4)
2. "SSO loop on login" (category: auth, priority 4)
3. "records missing after import" (category: data, 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": "SSO loop on login", "priority": 4 } }, { "tool": "create_ticket", "args": { "title": "SSO loop on login", "priority": 4 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 9 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "rivera" } } ]
wrongagentic.tools.ledger-v1conf 100% · 128ms · $0.000 · 128 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $752
- alpha: $623
- delta: $384

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $566 from "alpha" to "delta"
2. pay $99 from "alpha" to "oscar"
3. pay $407 from "oscar" to "delta"
4. pay $422 from "alpha" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 566}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 99}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 407}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 422}} ]
wrongagentic.tools.context-load-v1anchorconf 100% · 380ms · $0.000 · 42 tok
model answer: [ { "tool": "cancel_order", "args": { "order_id": 1787 } } ]
wrongagentic.tools.deploy-v1anchorconf 100% · 259ms · $0.000 · 98 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
wrongagentic.tools.triage-v1anchorconf 95% · 435ms · $0.000 · 262 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" } } ]
wrongagentic.tools.ledger-v1anchorconf 100% · 791ms · $0.000 · 185 tok
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 97}}, {"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 4/30 correct
wrongcode.trace.js-v1conf 100% · 213ms · $0.000 · 115 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 * 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: 120
wrongcode.trace.nested-v1conf 95% · 134ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 64
correctcode.trace.python-v1conf 95% · 378ms · $0.000 · 20 tok
question
What does this Python program print?

```python
total = 0
v = 2
while total + v <= 58:
    if v % 4 != 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: 56
wrongcode.trace.python-v1conf 95% · 229ms · $0.000 · 263 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 63:
    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: 66
wrongcode.trace.js-v1conf 100% · 204ms · $0.000 · 103 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 140
wrongcode.trace.nested-v1conf 95% · 191ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 36
wrongcode.trace.js-v1conf 100% · 227ms · $0.000 · 21 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 70
wrongcode.trace.nested-v1conf 95% · 378ms · $0.000 · 19 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: 44
wrongcode.trace.js-v1conf 100% · 207ms · $0.000 · 118 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
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: 120
wrongcode.trace.python-v1conf 100% · 273ms · $0.000 · 55 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 6
while total + v <= 40:
    if v % 5 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
wrongcode.trace.nested-v1conf 95% · 211ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 70
wrongcode.trace.python-v1conf 95% · 229ms · $0.000 · 20 tok
question
What does this Python program print?

```python
total = 0
v = 1
while total + v <= 56:
    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: 49
wrongcode.trace.js-v1conf 100% · 212ms · $0.000 · 129 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10];
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: 240
wrongcode.trace.js-v1conf 100% · 736ms · $0.000 · 172 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 330
wrongcode.trace.nested-v1conf 95% · 148ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 36
wrongcode.trace.python-v1conf 100% · 200ms · $0.000 · 55 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 4
while total + v <= 34:
    if v % 3 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
wrongcode.trace.nested-v1conf 95% · 699ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 45
wrongcode.trace.python-v1conf 95% · 265ms · $0.000 · 20 tok
question
What does this Python program print?

```python
total = 0
v = 7
while total + v <= 91:
    if v % 3 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
correctcode.trace.js-v1conf 100% · 197ms · $0.000 · 21 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
wrongcode.trace.nested-v1conf 95% · 273ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 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: 30
wrongcode.trace.python-v1conf 100% · 325ms · $0.000 · 55 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 13
while total + v <= 41:
    if v % 7 != 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: 39
correctcode.trace.python-v1conf 95% · 379ms · $0.000 · 330 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 101:
    if v % 4 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 78
wrongcode.trace.js-v1conf 100% · 349ms · $0.000 · 67 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 70
wrongcode.trace.nested-v1conf 95% · 196ms · $0.000 · 19 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 == 3 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: 36
correctcode.trace.js-v1conf 100% · 101ms · $0.000 · 117 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13];
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: 150
wrongcode.trace.nested-v1conf 95% · 405ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 36
wrongcode.trace.js-v1anchorconf 100% · 239ms · $0.000 · 69 tok
model answer: 126
wrongcode.trace.python-v1anchorconf 100% · 408ms · $0.000 · 55 tok
model answer: 66
wrongcode.trace.nested-v1anchorconf 95% · 344ms · $0.000 · 19 tok
model answer: 60
wrongcode.trace.python-v1anchorconf 95% · 192ms · $0.000 · 19 tok
model answer: 42
instruction following 10/30 correct
wrongif.constraints.stack-v1conf 95% · 206ms · $0.000 · 34 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "lumen" and the last word must be "delta".
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: lumen flickers ember dances ember whispers ember delta.
wrongif.format.acronym-v1conf 100% · 172ms · $0.000 · 22 tok
question
Take the second letter of each of these words, in order: quartz, drift, basalt, zephyr, cedar, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QDBZCE
wrongif.format.repeat-v1conf 100% · 309ms · $0.000 · 31 tok
question
Write the word "comet" in uppercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: COMETCOMETCOMETCOMET
wrongif.constraints.stack-v1conf · 389ms · $0.000 · 43 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "falcon" and the last word must be "quartz".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.repeat-v1conf 100% · 226ms · $0.000 · 74 tok
question
Write the word "quartz" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QUARTZ/QUARTZ/QUARTZ/QUARTZ/QUARTZ/QUARTZ/QUARTZ/QUARTZ
wrongif.format.acronym-v1conf 100% · 189ms · $0.000 · 22 tok
question
Take the second letter of each of these words, in order: prism, cedar, lumen, drift, delta, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PCLMDDT
wrongif.constraints.stack-v1conf 95% · 194ms · $0.000 · 32 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "orbit" and the last word must be "prism".
3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbit city nights drift lights, drift shadows prism.
wrongif.format.acronym-v1conf 100% · 575ms · $0.000 · 23 tok
question
Take the first letter of each of these words, in order: orbit, basalt, prism, quartz, 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: ORBASPRQUIE
wrongif.format.repeat-v1conf 100% · 230ms · $0.000 · 48 tok
question
Write the word "lumen" in lowercase 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: lumenlumenlumenlumenlumenlumenlumenlumenlumen
wrongif.constraints.stack-v1conf · 259ms · $0.000 · 29 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "drift" and the last word must be "tundra".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongif.format.acronym-v1conf 100% · 228ms · $0.000 · 16 tok
question
Take the first letter of each of these words, in order: echo, falcon, zephyr, 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: EZF
correctif.format.repeat-v1conf 100% · 214ms · $0.000 · 26 tok
question
Write the word "ember" in lowercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember-ember-ember-ember
wrongif.constraints.stack-v1conf 95% · 332ms · $0.000 · 33 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "quartz" and the last word must be "echo".
3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz mornings whisper comet tales comet drift comet echo.
wrongif.format.acronym-v1conf 100% · 202ms · $0.000 · 19 tok
question
Take the third letter of each of these words, in order: nova, lumen, tundra, zephyr, comet, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NLZTC
correctif.format.repeat-v1conf 100% · 142ms · $0.000 · 40 tok
question
Write the word "orbit" in uppercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT
wrongif.constraints.stack-v1conf 95% · 228ms · $0.000 · 45 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "basalt" and the last word must be "flint".
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: basalt streets glow quartz whispers neon lights flicker shadows dance flint
correctif.format.repeat-v1conf 100% · 267ms · $0.000 · 50 tok
question
Write the word "quartz" 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: QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ
wrongif.format.acronym-v1conf 100% · 214ms · $0.000 · 20 tok
question
Take the third letter of each of these words, in order: drift, basalt, nova, delta, prism, 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: DABNPL
wrongif.constraints.stack-v1conf 95% · 90ms · $0.000 · 43 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "prism" and the last word must be "drift".
3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism lights cast soft glow, streets whisper secrets, echo fades, drift.
wrongif.constraints.stack-v1conf 90% · 205ms · $0.000 · 69 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "drift" and the last word must be "lumen".
3. Use the word "falcon" 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: drift softly as falcon soars, winter's breath whispers. falcon glides, sun's lumen awakens. lumen.
wrongif.format.acronym-v1conf 100% · 174ms · $0.000 · 20 tok
question
Take the second letter of each of these words, in order: lumen, prism, cedar, falcon, tundra, 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: EPRFTC
correctif.format.repeat-v1conf 100% · 462ms · $0.000 · 26 tok
question
Write the word "ember" in lowercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember-ember-ember-ember
wrongif.format.acronym-v1conf 100% · 186ms · $0.000 · 20 tok
question
Take the second letter of each of these words, in order: echo, zephyr, cedar, nova, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EZYCDLN
correctif.format.repeat-v1conf 100% · 264ms · $0.000 · 24 tok
question
Write the word "nova" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NOVA/Nova/Nova
wrongif.constraints.stack-v1conf 95% · 310ms · $0.000 · 43 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "prism" and the last word must be "cedar".
3. Use the word "drift" 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 catches morning light, clouds drift, birds drift, trees drift cedar.
correctif.format.repeat-v1anchorconf 100% · 176ms · $0.000 · 44 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.acronym-v1conf 100% · 111ms · $0.000 · 18 tok
question
Take the first letter of each of these words, in order: orbit, echo, basalt, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OEBQ
wrongif.constraints.stack-v1anchorconf 90% · 173ms · $0.000 · 62 tok
model answer: drift drift drift drift drift drift drift drift drift drift drift drift drift drift drift drift drift drift drift drift orbit
correctif.format.repeat-v1anchorconf 100% · 287ms · $0.000 · 60 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 166ms · $0.000 · 19 tok
model answer: ZDFQ
knowledge 27/30 correct
wrongknowledge.fr.factbank-v2conf 100% · 236ms · $0.000 · 16 tok
question
What is the capital of Myanmar?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yangon
correctknowledge.fr.factbank-v2conf 100% · 369ms · $0.000 · 15 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% · 301ms · $0.000 · 19 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 95% · 255ms · $0.000 · 15 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% · 92ms · $0.000 · 13 tok
question
Identify the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
wrongknowledge.fr.factbank-v2conf 100% · 312ms · $0.000 · 13 tok
question
Name 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: (none extracted)
correctknowledge.fr.factbank-v2conf 100% · 236ms · $0.000 · 13 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% · 328ms · $0.000 · 15 tok
question
Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 181ms · $0.000 · 16 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% · 198ms · $0.000 · 12 tok
question
What is the Australian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 15 tok
question
What is the chemical element with symbol Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 95% · 631ms · $0.000 · 13 tok
question
Name the capital of Kazakhstan.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 118ms · $0.000 · 12 tok
question
What is the capital of Australia?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 367ms · $0.000 · 16 tok
question
Identify the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 168ms · $0.000 · 12 tok
question
Identify the capital of Switzerland.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 256ms · $0.000 · 12 tok
question
What is the Australian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 194ms · $0.000 · 19 tok
question
Identify the author of "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 149ms · $0.000 · 19 tok
question
Identify the author of "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
wrongknowledge.fr.factbank-v2conf 100% · 732ms · $0.000 · 14 tok
question
What is the capital of Kazakhstan?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nur-Sultan
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 16 tok
question
Name the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 136ms · $0.000 · 15 tok
question
Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 584ms · $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 95% · 536ms · $0.000 · 13 tok
question
Identify the capital of Kazakhstan.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 388ms · $0.000 · 15 tok
question
Identify 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% · 508ms · $0.000 · 23 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% · 199ms · $0.000 · 12 tok
question
What is the capital of Turkey?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2anchorconf 100% · 186ms · $0.000 · 15 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 335ms · $0.000 · 18 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 927ms · $0.000 · 14 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 100% · 565ms · $0.000 · 16 tok
model answer: Antimony
math 17/30 correct
correctmath.counterfactual.base-v1conf 95% · 89ms · $0.000 · 348 tok
question
Work strictly in base 13. Add the base-13 numbers 733 and 4AC. 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: C12
correctmath.chained.pipeline-v1conf 100% · 97ms · $0.000 · 125 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 71 × 31.
Step 2: Q = P × 4 − 336.
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: 2824
wrongmath.percent.chain-v2conf 95% · 186ms · $0.000 · 157 tok
question
An inventory starts at 33000 units. A rival firm shipped 24 unrelated parcels the same week. In the first month the inventory grows by 14%. A rival firm shipped 129 unrelated parcels the same week. The next month it shrinks by 22%, and the month after it grows by 32%. 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: 29262.78
correctmath.algebra.system-v2conf 100% · 465ms · $0.000 · 248 tok
question
Solve the system, then answer the derived question.

2x + 6y = -78
2x − 5y = 43

What is the value of 4x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -2
correctmath.arith.chain-v2conf 100% · 267ms · $0.000 · 148 tok
question
Work out the exact value of this expression.

(((90 × 32 − 592) × 8 + 5728) − 57 × 70) × 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: 80168
correctmath.chained.pipeline-v1conf 100% · 237ms · $0.000 · 125 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 89 × 31.
Step 2: Q = P × 5 − 162.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2729
wrongmath.counterfactual.base-v1conf 95% · 532ms · $0.000 · 225 tok
question
Work strictly in base 11. Add the base-11 numbers AA6 and 2207. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3740
wrongmath.algebra.system-v2conf 90% · 121ms · $0.000 · 422 tok
question
Solve the system, then answer the derived question.

9x + 7y = 489
7x − 9y = -183

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -51.9533770544
wrongmath.percent.chain-v2conf 95% · 199ms · $0.000 · 222 tok
question
An inventory starts at 44000 units. The delivery van has a 14-liter fuel tank. In the first month the inventory grows by 17%. The delivery van has a 52-liter fuel tank. The next month it shrinks by 7%, and the month after it grows by 22%. 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: 58448.81
correctmath.arith.chain-v2conf 100% · 242ms · $0.000 · 145 tok
question
Work out the exact value of this expression.

(((58 × 45 − 891) × 8 + 3523) − 13 × 77) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 32548
wrongmath.counterfactual.base-v1conf 100% · 489ms · $0.000 · 185 tok
question
Work strictly in base 11. Add the base-11 numbers 1632 and 1A10. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3552
correctmath.chained.pipeline-v1conf 100% · 202ms · $0.000 · 118 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 18 × 46.
Step 2: Q = P × 7 − 312.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 612
wrongmath.percent.chain-v2conf 95% · 683ms · $0.000 · 157 tok
question
An inventory starts at 12000 units. Each pallet weighs about 154 grams more when wet. In the first month the inventory grows by 31%. A rival firm shipped 139 unrelated parcels the same week. The next month it shrinks by 14%, 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: 15,367.25
correctmath.algebra.system-v2conf 100% · 218ms · $0.000 · 213 tok
question
Solve the system, then answer the derived question.

3x + 8y = -124
4x − 8y = -72

What is the value of 5x − 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: -110
correctmath.arith.chain-v2conf 100% · 362ms · $0.000 · 152 tok
question
Evaluate the expression below and give the result.

(((27 × 39 − 177) × 3 + 7183) − 61 × 39) × 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: 37160
correctmath.chained.pipeline-v1conf 100% · 287ms · $0.000 · 118 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 42 × 18.
Step 2: Q = P × 8 − 157.
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: 845
correctmath.algebra.system-v2conf 100% · 656ms · $0.000 · 349 tok
question
Solve the system, then answer the derived question.

2x + 2y = -68
4x − 6y = -176

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: -164
wrongmath.counterfactual.base-v1conf 100% · 239ms · $0.000 · 134 tok
question
Work strictly in base 11. Add the base-11 numbers 2111 and 2042. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4313
wrongmath.percent.chain-v2conf 100% · 602ms · $0.000 · 113 tok
question
An inventory starts at 12000 units. The warehouse was painted 19 years ago. In the first month the inventory grows by 10%. The delivery van has a 122-liter fuel tank. The next month it shrinks by 12%, and the month after it grows by 17%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 13588.72
wrongmath.arith.chain-v2conf 100% · 568ms · $0.000 · 133 tok
question
Evaluate the expression below and give the result.

(((93 × 64 − 665) × 9 + 5681) − 61 × 66) × 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: 247965
correctmath.chained.pipeline-v1conf 100% · 461ms · $0.000 · 117 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 44 × 80.
Step 2: Q = P × 8 − 277.
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: 3985
wrongmath.percent.chain-v2conf 95% · 506ms · $0.000 · 256 tok
question
An inventory starts at 78000 units. The company was founded 56 kilometers from the port. In the first month the inventory grows by 37%. Each pallet weighs about 88 grams more when wet. The next month it shrinks by 38%, and the month after it grows by 37%. 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: 90,788.72
wrongmath.counterfactual.base-v1conf 100% · 473ms · $0.000 · 37 tok
question
Work strictly in base 9. Add the base-9 numbers 774 and 375. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1143
correctmath.algebra.system-v2conf 100% · 241ms · $0.000 · 246 tok
question
Solve the system, then answer the derived question.

9x + 9y = 36
9x − 4y = -146

What is the value of 3x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -114
correctmath.arith.chain-v2conf 100% · 446ms · $0.000 · 106 tok
question
Work out the exact value of this expression.

(((73 × 48 − 295) × 8 + 6054) − 45 × 31) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 181986
wrongmath.counterfactual.base-v1anchorconf 100% · 214ms · $0.000 · 254 tok
model answer: 1226
correctmath.chained.pipeline-v1conf 100% · 438ms · $0.000 · 134 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 86 × 81.
Step 2: Q = P × 7 − 502.
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: 8045
wrongmath.percent.chain-v2anchorconf 95% · 676ms · $0.000 · 107 tok
model answer: 61955.99
correctmath.algebra.system-v2anchorconf 100% · 413ms · $0.000 · 224 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 100% · 213ms · $0.000 · 128 tok
model answer: 108153
multilingual 3/30 correct
wrongmultilingual.wordnum-v1conf 100% · 192ms · $0.000 · 21 tok
question
A number is written in French: « deux cent soixante-douze ». Another is written in Spanish: « ochenta 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: 399
wrongmultilingual.numword-v2conf 100% · 222ms · $0.000 · 25 tok
question
Compute 427 + 111, 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: doscientocientostreinta y ocho
wrongmultilingual.numword-v2conf 100% · 339ms · $0.000 · 20 tok
question
Compute 444 + 443, 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: seven hundred eighty seven
wrongmultilingual.wordnum-v1conf 100% · 177ms · $0.000 · 18 tok
question
A number is written in French: « sept cent dix-sept ». Another is written in Spanish: « doscientos once ». 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: 1038
wrongmultilingual.numword-v2conf 100% · 234ms · $0.000 · 20 tok
question
Compute 151 + 96, 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: one hundred forty-seven
wrongmultilingual.wordnum-v1conf 100% · 219ms · $0.000 · 15 tok
question
A number is written in French: « quatre-vingt-seize ». Another is written in Spanish: « trescientos cincuenta y cinco ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
correctmultilingual.wordnum-v1conf 100% · 218ms · $0.000 · 23 tok
question
A number is written in French: « cinq cent trente-neuf ». Another is written in Spanish: « seiscientos sesenta ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1199
wrongmultilingual.numword-v2conf 100% · 203ms · $0.000 · 29 tok
question
Compute 485 + 102, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent quatre-vingt-seize
correctmultilingual.wordnum-v1conf 100% · 402ms · $0.000 · 23 tok
question
A number is written in French: « sept cent huit ». Another is written in Spanish: « ochocientos treinta 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: 1543
correctmultilingual.numword-v2conf 100% · 309ms · $0.000 · 23 tok
question
Compute 435 + 339, 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 setenta y cuatro
wrongmultilingual.numword-v2conf 100% · 216ms · $0.000 · 18 tok
question
Compute 199 + 308, 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: three hundred seven
wrongmultilingual.wordnum-v1conf 100% · 256ms · $0.000 · 9 tok
question
A number is written in French: « six cent trente ». Another is written in Spanish: « doscientos setenta y tres ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.numword-v2conf 100% · 95ms · $0.000 · 21 tok
question
Compute 254 + 263, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent dix-sept
wrongmultilingual.wordnum-v1conf 100% · 213ms · $0.000 · 9 tok
question
A number is written in French: « huit cent quatre ». Another is written in Spanish: « seiscientos noventa y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.wordnum-v1conf 100% · 228ms · $0.000 · 9 tok
question
A number is written in French: « huit cent quarante et un ». Another is written in Spanish: « setecientos ochenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.numword-v2conf 100% · 338ms · $0.000 · 25 tok
question
Compute 48 + 125, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre-vingt-seize
wrongmultilingual.numword-v2conf 100% · 1.5s · $0.000 · 26 tok
question
Compute 163 + 376, 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 sesenta y seis
wrongmultilingual.wordnum-v1conf 100% · 157ms · $0.000 · 9 tok
question
A number is written in French: « deux cent trente-quatre ». Another is written in Spanish: « novecientos diez ». 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: (none extracted)
wrongmultilingual.wordnum-v1conf 100% · 298ms · $0.000 · 18 tok
question
A number is written in French: « trois cent quatre-vingt-dix ». Another is written in Spanish: « quinientos sesenta y dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1032
wrongmultilingual.numword-v2conf 100% · 335ms · $0.000 · 18 tok
question
Compute 480 + 159, 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: eight hundred nineteen
wrongmultilingual.numword-v2conf 100% · 323ms · $0.000 · 43 tok
question
Compute 94 + 254, 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 quarante-huit
wrongmultilingual.wordnum-v1conf 100% · 192ms · $0.000 · 9 tok
question
A number is written in French: « trois cent cinq ». Another is written in Spanish: « seiscientos noventa 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: (none extracted)
wrongmultilingual.numword-v2conf 100% · 340ms · $0.000 · 29 tok
question
Compute 485 + 208, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent soixante-trois
wrongmultilingual.wordnum-v1conf 100% · 202ms · $0.000 · 9 tok
question
A number is written in French: « quatre cent quatre-vingt-onze ». Another is written in Spanish: « ochocientos veintiuno ». 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: (none extracted)
wrongmultilingual.wordnum-v1conf 100% · 314ms · $0.000 · 9 tok
question
A number is written in French: « cinq cent soixante-treize ». Another is written in Spanish: « ciento cuarenta y dos ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.numword-v2conf 100% · 372ms · $0.000 · 20 tok
question
Compute 305 + 257, 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: five hundred sixty two
wrongmultilingual.wordnum-v1anchorconf 100% · 424ms · $0.000 · 9 tok
model answer: (none extracted)
wrongmultilingual.numword-v2anchorconf 100% · 219ms · $0.000 · 18 tok
model answer: seventy-nine
wrongmultilingual.numword-v2anchorconf 100% · 605ms · $0.000 · 20 tok
model answer: cuatrocientos ocho
wrongmultilingual.wordnum-v1anchorconf 100% · 205ms · $0.000 · 21 tok
model answer: 982
reasoning 7/30 correct
wrongreasoning.deduction.position-v1conf 100% · 142ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Ola. Ola is number 2 in the queue. Jonas is directly ahead of Tessa. 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
correctreasoning.deduction.position-v1conf 100% · 481ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Bruno. Chen is number 1 in the queue. Bruno is directly ahead of Ola. 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: Chen
wrongreasoning.deduction.order-v2conf 90% · 167ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Liam is older than Jonas. Chen is faster than everyone here, but Chen is not being ranked. Farah is older than Quinn. Kira is older than Liam. Kira is older than Goran. Liam is older than Tessa. Tessa is older than Jonas. Quinn is older than Jonas. Tessa is older than Farah. Jonas is older than Goran. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.position-v1conf 100% · 335ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Alice. Hana is directly ahead of Rosa. Alice is number 3 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
wrongreasoning.deduction.order-v2conf 95% · 91ms · $0.000 · 14 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Kira. Jonas is older than Dara. Alice is older than Mona. Mona is older than Jonas. Rosa is older than Liam. Alice is older than Jonas. Kira is older than Rosa. Dara is older than Liam. Mona is older than Rosa. Chen is heavier than everyone here, but Chen is not being ranked. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
wrongreasoning.deduction.order-v2conf 95% · 314ms · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Hana. Jonas is heavier than everyone here, but Jonas is not being ranked. Emil is taller than Mona. Hana is taller than Kira. Chen is taller than Emil. Chen is taller than Farah. Sami is taller than Emil. Kira is taller than Emil. Kira is taller than Sami. Hana is taller 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: Chen
correctreasoning.deduction.position-v1conf 100% · 120ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 1 in the queue. Emil is directly ahead of Priya. Priya is directly ahead of Ola. 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: Ola
wrongreasoning.deduction.order-v2conf 95% · 222ms · $0.000 · 16 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Sami. Ines is heavier than Chen. Bruno is heavier than Farah. Mona is faster than everyone here, but Mona is not being ranked. Rosa is heavier than Bruno. Sami is heavier than Ines. Kira is heavier than Chen. Farah is heavier than Kira. Sami is heavier than Chen. Kira is heavier than Ines. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
wrongreasoning.deduction.position-v1conf 100% · 217ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Liam. Chen is number 1 in the queue. Liam is directly ahead of Farah. 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: Chen
wrongreasoning.deduction.order-v2conf 95% · 447ms · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Jonas. Mona is faster than Ola. Mona is faster than Ola. Jonas is faster than Bruno. Nadir is faster than Ola. Emil is heavier than everyone here, but Emil is not being ranked. Farah is faster than Hana. Mona is faster than Nadir. Mona is faster than Ola. Bruno is faster than Mona. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.position-v1conf 100% · 305ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Priya. Emil is number 1 in the queue. Ola is directly ahead of Kira. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.order-v2conf 90% · 232ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Nadir. Liam is taller than Quinn. Quinn is taller than Hana. Ines is taller than Goran. Liam is taller than Hana. Goran is taller than Liam. Hana is taller than Priya. Quinn is taller than Nadir. Liam is taller than Hana. Chen is heavier than everyone here, but Chen is not being ranked. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
wrongreasoning.deduction.position-v1conf 100% · 318ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 3 in the queue. Sami is directly ahead of Emil. Rosa is directly ahead of Sami. 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: Anna
wrongreasoning.deduction.order-v2conf 95% · 406ms · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Hana. Hana is taller than Quinn. Ines is taller than Liam. Bruno is taller than Kira. Nadir is taller than Hana. Kira is taller than Ines. Bruno is taller than Nadir. Jonas is heavier than everyone here, but Jonas is not being ranked. Nadir is taller than Kira. Liam is taller than Hana. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.position-v1conf 100% · 232ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Mona. Kira is number 2 in the queue. Liam is directly ahead of Kira. 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
wrongreasoning.deduction.order-v2conf 95% · 488ms · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is heavier than everyone here, but Rosa is not being ranked. Priya is older than Liam. Alice is older than Bruno. Ola is older than Liam. Chen is older than Priya. Bruno is older than Liam. Bruno is older than Ola. Priya is older than Alice. Priya is older than Bruno. Liam is older than Quinn. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
wrongreasoning.deduction.position-v1conf 100% · 356ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 3 in the queue. Alice is directly ahead of Kira. Kira is directly ahead of Jonas. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
wrongreasoning.deduction.order-v2conf 90% · 445ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Emil. Emil is taller than Sami. Rosa is taller than Sami. Chen is taller than Alice. Alice is taller than Emil. Farah is taller than Chen. Kira is older than everyone here, but Kira is not being ranked. Emil is taller than Rosa. Alice is taller than Priya. Emil is taller than Sami. 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
wrongreasoning.deduction.position-v1conf 100% · 376ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Ines. Rosa is number 1 in the queue. Dara is directly ahead of Mona. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
wrongreasoning.deduction.order-v2conf 95% · 227ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is taller than everyone here, but Nadir is not being ranked. Goran is faster than Dara. Goran is faster than Dara. Rosa is faster than Alice. Alice is faster than Dara. Alice is faster than Mona. Mona is faster than Sami. Sami is faster than Goran. Emil is faster than Dara. Goran is faster than Emil. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
wrongreasoning.deduction.position-v1conf 100% · 413ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Tessa. Tessa is directly ahead of Kira. Kira is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
wrongreasoning.deduction.order-v2conf 90% · 586ms · $0.000 · 16 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Goran. Liam is heavier than Ola. Farah is heavier than Priya. Jonas is older than everyone here, but Jonas is not being ranked. Priya is heavier than Dara. Tessa is heavier than Goran. Dara is heavier than Ola. Goran is heavier than Liam. Tessa is heavier than Ola. Tessa is heavier than Farah. 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: Goran
wrongreasoning.deduction.position-v1conf 100% · 312ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Hana. Sami is directly ahead of Liam. Hana is directly ahead of Sami. Liam is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
wrongreasoning.deduction.order-v2conf 90% · 135ms · $0.000 · 14 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Hana. Quinn is faster than Hana. Quinn is faster than Jonas. Jonas is faster than Nadir. Sami is taller than everyone here, but Sami is not being ranked. Hana is faster than Chen. Ines is faster than Chen. Alice is faster than Quinn. Hana is faster than Ines. Nadir is faster than Ines. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
wrongreasoning.deduction.order-v2conf 90% · 445ms · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Rosa. Ola is taller than Farah. Emil is taller than Nadir. Nadir is taller than Chen. Goran is taller than Ola. Farah is taller than Chen. Hana is heavier than everyone here, but Hana is not being ranked. Emil is taller than Rosa. Emil is taller than Chen. Nadir is taller than Goran. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.position-v1conf 90% · 398ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 2 in the queue. Goran is directly ahead of Hana. Quinn is directly ahead of Bruno. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
wrongreasoning.deduction.order-v2anchorconf 90% · 259ms · $0.000 · 16 tok
model answer: Dara
correctreasoning.deduction.position-v1anchorconf 100% · 217ms · $0.000 · 15 tok
model answer: Quinn
wrongreasoning.deduction.order-v2anchorconf 95% · 447ms · $0.000 · 16 tok
model answer: Priya
wrongreasoning.deduction.position-v1anchorconf 100% · 290ms · $0.000 · 16 tok
model answer: Sami
terminal 0/30 correct
wrongterminal.fs.tree-v1conf 95% · 248ms · $0.000 · 64 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/logs`):

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

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

```sh
touch conf/todo-5.md
rm conf/todo-5.md
mv assets/todo.md assets/draft-1.md
mv assets/index.md assets/
mkdir -p logs/build-4
cd conf
touch ../../proj/logs/todo-5.log
cd ../../proj/assets
mv ../../proj/logs/main.cfg ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft-1.md /proj/assets/index.md /proj/assets/todo.md /proj/conf/todo-5.md /proj/logs/main.cfg /proj/logs/todo-5.log /proj/report.log /proj/util.txt
wrongterminal.exit.chain-v1conf 100% · 416ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F G Z exit:0
wrongterminal.pipeline.predict-v1conf 95% · 1.0s · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,ops,41,14
max,hr,19,57
oli,eng,70,24
eli,ops,45,56
hal,legal,62,22
ivy,eng,43,89
lou,eng,13,27
bo,sales,20,37
fay,ops,24,45
ana,hr,54,94
pam,hr,85,75
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 75
wrongterminal.exit.chain-v1conf 95% · 223ms · $0.000 · 20 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
false && echo A || echo B
true && echo C || echo D
grep -q coral notes.txt && echo E || echo F
test -f ghost.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: C F exit:0
wrongterminal.fs.tree-v1conf 95% · 373ms · $0.000 · 34 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/docs`):

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

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

```sh
rm build/setup.md
mkdir -p src-1
cd src
touch ../../proj/docs/draft-5.log
mkdir -p assets-9
rm ../../proj/docs/main.log
rm util.txt
cd assets-9
cp ../../../proj/docs/draft-5.log ../../../proj/
mkdir -p ../../../proj/docs/logs-1
cd ../../../proj/src
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/setup.md /proj/notes.txt /proj/src/util.txt /proj/todo.txt
wrongterminal.pipeline.predict-v1conf 100% · 250ms · $0.000 · 29 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,eng,56,44
ana,hr,119,62
cy,ops,3,98
ivy,hr,75,71
oli,sales,78,39
hal,hr,51,34
pam,legal,27,97
bo,legal,82,17
gus,sales,102,22
eli,eng,110,36
lou,hr,114,38
dev,hr,29,21
max,ops,41,64
```

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: ivy,hr,75,71 lou,hr,114,38
wrongterminal.exit.chain-v1conf 100% · 400ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: C F H Z exit:0
wrongterminal.fs.tree-v1conf 95% · 331ms · $0.000 · 44 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/conf`):

```
/proj/build/index.log
/proj/build/main.cfg
/proj/docs/notes.cfg
/proj/setup.txt
/proj/util.txt
```

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

```sh
mv docs/notes.cfg docs/todo-8.log
cd docs
mv ../../proj/build/main.cfg ../../proj/conf/
rm ../../proj/setup.txt
mv ../../proj/util.txt ../../proj/todo-1.md
rm ../../proj/conf/main.cfg
cd ../../proj
touch build/index-1.md
cd conf
mv ../../proj/build/index.log ../../proj/build/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/index-1.md /proj/build/index.log /proj/conf/main.cfg /proj/docs/todo-8.log /proj/util.txt
wrongterminal.pipeline.predict-v1conf 100% · 643ms · $0.000 · 21 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,ops,32,78
hal,sales,72,69
pam,ops,55,49
dev,legal,96,47
ned,legal,68,53
kim,hr,47,88
fay,sales,70,91
lou,sales,11,15
eli,sales,21,74
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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,78 fay,91
wrongterminal.fs.tree-v1conf 95% · 206ms · $0.000 · 64 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/logs`):

```
/proj/build/report.md
/proj/draft.cfg
/proj/logs/index.md
/proj/logs/notes.txt
/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
mv logs/notes.txt build/
cd logs
touch draft-2.cfg
cd ../../proj/build
mv notes.txt ../../proj/
touch ../../proj/docs/notes-9.log
mkdir -p ../../proj/assets-7
cd .
mkdir -p build-8
touch ../../proj/docs/util-7.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/build/report.md /proj/draft.cfg /proj/logs/index.md /proj/logs/notes.txt /proj/setup.cfg /proj/notes.txt /proj/docs/notes-9.log /proj/docs/util-7.txt
wrongterminal.exit.chain-v1conf 100% · 517ms · $0.000 · 20 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 682ms · $0.000 · 28 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,legal,111,69
fay,eng,97,53
ana,hr,38,93
ned,eng,22,52
jon,legal,35,61
eli,sales,111,34
dev,sales,117,60
bo,sales,119,27
hal,sales,4,61
```

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: ana,hr,38,93 eli,sales,111,34
wrongterminal.exit.chain-v1conf 100% · 138ms · $0.000 · 17 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q dune notes.txt && echo A || echo B
false && echo C || echo D
test -f ghost.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: (none extracted)
wrongterminal.fs.tree-v1conf 95% · 293ms · $0.000 · 35 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/build`):

```
/proj/assets/report.log
/proj/build/draft.txt
/proj/logs/main.txt
/proj/notes.txt
/proj/util.md
```

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

```sh
rm build/draft.txt
rm assets/report.log
cd logs
cp ../../proj/notes.txt ./
cp ../../proj/util.md ./
rm notes.txt
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/report.log /proj/build/draft.txt /proj/logs/main.txt /proj/util.md
wrongterminal.pipeline.predict-v1conf 100% · 199ms · $0.000 · 38 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,sales,88,80
ned,eng,57,11
fay,eng,62,38
kim,ops,29,32
pam,sales,75,34
eli,legal,69,52
bo,eng,72,51
gus,ops,31,73
dev,hr,82,51
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: pam,sales,75,34 bo,eng,72,51 gus,ops,31,73
wrongterminal.fs.tree-v1conf 95% · 197ms · $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/docs`, `/proj/assets`, `/proj/src`):

```
/proj/assets/report.cfg
/proj/draft.log
/proj/main.txt
/proj/src/todo.md
/proj/src/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
mv draft.log assets/
mkdir -p assets/docs-7
cd docs
touch ../../proj/util-4.log
touch ../../proj/report-1.txt
cd .
mv ../../proj/main.txt ../../proj/setup-2.cfg
cp ../../proj/assets/draft.log ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report.cfg /proj/assets/draft.log /proj/draft.log /proj/main.txt /proj/setup-2.cfg /proj/src/todo.md /proj/src/util.cfg
wrongterminal.exit.chain-v1conf 100% · 348ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F Z exit:0
wrongterminal.exit.chain-v1conf 100% · 548ms · $0.000 · 20 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 data.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
test -f data.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: C E exit:0
wrongterminal.pipeline.predict-v1conf 95% · 350ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,legal,37,89
ned,legal,60,13
max,ops,31,30
kim,ops,51,78
oli,legal,15,17
hal,hr,29,39
lou,hr,93,22
gus,ops,96,35
cy,legal,109,83
bo,sales,77,88
ana,eng,22,40
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 40
wrongterminal.fs.tree-v1conf 95% · 698ms · $0.000 · 34 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/logs`):

```
/proj/conf/setup.log
/proj/docs/index.cfg
/proj/draft.cfg
/proj/logs/main.cfg
/proj/util.txt
```

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

```sh
rm conf/setup.log
cd .
mv draft.cfg index-5.txt
cd conf
mkdir -p build-4
cd ../../proj/docs
touch ../../proj/logs/notes-9.log
rm index.cfg
rm ../../proj/logs/notes-9.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/setup.log /proj/draft.cfg /proj/logs/main.cfg /proj/util.txt
wrongterminal.pipeline.predict-v1conf 95% · 947ms · $0.000 · 36 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,ops,11,46
lou,sales,64,17
bo,ops,114,54
oli,hr,59,67
eli,ops,115,87
ivy,sales,23,82
fay,hr,8,85
max,legal,99,67
hal,ops,119,37
dev,sales,64,23
gus,eng,96,38
kim,eng,61,68
ana,sales,15,54
ned,hr,62,81
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: dev,sales,64,23 ivy,sales,23,82 oli,hr,59,67
wrongterminal.fs.tree-v1conf 95% · 222ms · $0.000 · 40 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/util.txt
/proj/docs/draft.md
/proj/docs/index.cfg
/proj/main.cfg
/proj/todo.log
```

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

```sh
rm conf/util.txt
cd docs
touch ../../proj/notes-5.md
mkdir -p ../../proj/src/assets-7
cp ../../proj/todo.log ../../proj/conf/
cd ../../proj/conf
rm ../../proj/notes-5.md
cd ../../proj/src/assets-7
cp ../../../proj/todo.log ../../../proj/src/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/util.txt /proj/docs/draft.md /proj/docs/index.cfg /proj/main.cfg /proj/todo.log
wrongterminal.exit.chain-v1conf 100% · 342ms · $0.000 · 19 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f ghost.txt && echo A || echo B
true && echo C || echo D
test -f app.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: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 428ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,sales,38,40
bo,ops,78,27
max,ops,64,53
lou,hr,77,75
gus,hr,76,15
cy,eng,94,16
ana,hr,110,84
dev,eng,54,43
fay,eng,39,78
```

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: 137
wrongterminal.exit.chain-v1conf 100% · 283ms · $0.000 · 20 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
false && echo A || echo B
test -f data.txt && echo C || echo D
grep -q amber notes.txt && echo E || echo F
test -f ghost.txt && echo 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: C F exit:0
wrongterminal.fs.tree-v1conf 95% · 199ms · $0.000 · 50 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/src`, `/proj/assets`):

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

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

```sh
rm src/index.txt
cd src
touch util-1.md
touch ../../proj/docs/util-8.txt
mv ../../proj/docs/util-8.txt ../../proj/docs/
mkdir -p assets-2
mkdir -p ../../proj/assets-2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/main.cfg /proj/assets/setup.md /proj/draft.txt /proj/report.log /proj/src/util-1.md /proj/docs/util-8.txt
wrongterminal.pipeline.predict-v1anchorconf 100% · 349ms · $0.000 · 36 tok
model answer: dev,eng,81,95 eli,eng,60,55 max,eng,43,64
wrongterminal.exit.chain-v1anchorconf 100% · 700ms · $0.000 · 26 tok
model answer: B D F H Z exit:0
wrongterminal.fs.tree-v1anchorconf 95% · 595ms · $0.000 · 47 tok
model answer: /proj/build/setup-8.md /proj/docs/report-8.cfg /proj/report.cfg /proj/build/setup.log /proj/build/TODO-4.md
wrongterminal.pipeline.predict-v1anchorconf 100% · 596ms · $0.000 · 14 tok
model answer: 3

Run history

  • 2026-08-05v0.2.0index_fit348
  • 2026-08-05v0.2.0index_fit348
  • 2026-08-05v0.2.0index_fit348
  • 2026-08-05v0.2.0index_fit348