Venice: Uncensored

cognitivecomputations/dolphin-mistral-24b-venice-edition · cognitivecomputations · context 128 000 · in $0.200/1M · out $0.900/1M

Global Index

537

95% CI [481–593] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
code	370 [314–426]	0.141	0.71	0.29	0.000	529ms	$0.541
knowledge	678 [514–842]	0.520	0.98	0.97	0.038	454ms	$0.142
multilingual	593 [478–707]	0.377	0.93	0.77	0.000	529ms	$0.198
terminal	507 [421–593]	0.294	0.93	0.41	0.000	517ms	$0.199

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 12/30 correct

OpenRouterError: OpenRouter /chat/completions failed after 6 attempt(s) (status 429)agentic.tools.ledger-v1conf — · — · — · — 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: $494
- kilo: $550
- bravo: $420

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $187 from "kilo" to "oscar"
2. pay $166 from "kilo" to "oscar"
3. pay $176 from "kilo" to "bravo"
4. pay $244 from "kilo" to "oscar"
5. pay $433 from "bravo" 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: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 1.4s · $0.000 · 170 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $633
- alpha: $775
- tango: $244

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $534 from "oscar" to "alpha"
2. pay $365 from "oscar" to "tango"
3. pay $113 from "tango" to "alpha"
4. pay $170 from "tango" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 534}},
    {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 131}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 365}},
    {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 113}},
    {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 170}}
]

OpenRouterError: OpenRouter /chat/completions failed after 6 attempt(s) (status 429)agentic.tools.triage-v1conf — · — · — · — tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 8)
2. "invoice total wrong" (category: payments, priority 9)
3. "webhooks not delivered" (category: infra, priority 8)
4. "invoice total wrong" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctagentic.tools.triage-v1conf 100% · 1.4s · $0.000 · 187 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "API latency spikes" (category: infra, priority 2)
2. "card declined at checkout" (category: payments, priority 2)
3. "API latency spikes" (category: infra, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
    {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.8s · $0.001 · 107 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (284 records, format: id|customer|region|item|qty|status):
```
1793|cobalt|north|pump|85|paid
1766|dorian|north|valve|88|paid
1538|ionic|south|rotor|24|pending
2063|acme|east|frame|47|pending
1661|birch|west|valve|16|shipped
2052|acme|west|gasket|75|pending
1333|ionic|east|valve|16|pending
1864|acme|east|gasket|50|paid
1724|birch|west|cable|15|paid
1800|juno|east|valve|55|paid
1139|ember|west|pump|66|shipped
1336|gale|east|cable|92|paid
1505|cobalt|south|pump|82|held
1680|ember|south|frame|57|shipped
1419|juno|east|valve|78|pending
1302|birch|east|cable|22|held
1843|birch|east|valve|58|held
1261|cobalt|north|rotor|98|shipped
1326|dorian|south|gasket|69|pending
1968|cobalt|west|pump|80|pending
1158|dorian|west|panel|25|paid
1962|fulton|north|rotor|36|shipped
1179|juno|west|pump|28|paid
1834|juno|west|valve|79|shipped
1708|dorian|east|frame|56|pending
1952|juno|east|pump|55|pending
1902|gale|west|sensor|89|pending
1622|gale|east|sensor|35|pending
1710|fulton|west|gasket|87|pending
1084|cobalt|south|pump|21|paid
1102|ionic|east|sensor|18|pending
1057|cobalt|south|pump|13|held
1730|birch|north|cable|10|pending
1097|cobalt|south|frame|28|held
1812|juno|north|sensor|75|held
1630|juno|south|gasket|37|pending
2115|cobalt|east|panel|66|shipped
1291|dorian|north|gasket|13|shipped
1879|harbor|west|valve|19|pending
1932|ember|east|valve|67|paid
1641|acme|east|valve|17|held
1880|harbor|west|cable|48|shipped
1606|gale|north|pump|73|held
2045|ionic|south|gasket|11|held
1679|cobalt|west|rotor|17|paid
1544|ember|east|rotor|49|shipped
2057|ember|west|pump|26|held
1377|juno|north|cable|20|paid
1564|dorian|north|valve|43|pending
2090|birch|west|valve|28|paid
1122|ember|north|gasket|75|pending
1848|cobalt|west|panel|27|shipped
1539|fulton|east|cable|10|held
1536|birch|east|rotor|40|shipped
1943|birch|west|valve|24|paid
1434|ionic|south|cable|78|pending
1164|ember|east|cable|88|pending
1642|dorian|south|cable|92|paid
2017|cobalt|east|rotor|17|shipped
1835|acme|west|gasket|10|shipped
1918|gale|west|panel|76|shipped
1451|juno|north|sensor|85|paid
1947|acme|east|rotor|34|paid
1109|dorian|south|sensor|34|paid
1989|fulton|west|gasket|58|pending
1116|fulton|south|sensor|90|paid
1673|ember|south|valve|76|pending
1831|gale|south|gasket|89|pending
1608|ionic|east|rotor|94|paid
1895|dorian|east|cable|64|paid
1913|acme|south|frame|33|pending
1645|juno|south|panel|55|pending
1210|fulton|north|rotor|73|paid
1353|harbor|west|frame|27|shipped
1403|gale|east|panel|75|paid
1697|harbor|west|valve|83|held
1882|ionic|north|valve|50|shipped
1213|birch|south|sensor|34|paid
1170|harbor|east|pump|53|pending
1778|harbor|north|sensor|24|held
1691|cobalt|east|pump|36|paid
1276|ionic|north|sensor|26|held
1528|juno|west|frame|31|paid
1267|dorian|south|frame|74|held
1365|acme|west|pump|41|shipped
1230|fulton|west|pump|80|shipped
1701|birch|west|cable|47|held
1199|gale|south|pump|58|paid
1596|ionic|north|panel|47|pending
1868|cobalt|east|pump|57|held
1308|ionic|south|valve|53|pending
1224|harbor|south|rotor|79|pending
2040|acme|west|sensor|47|paid
1521|gale|north|rotor|79|held
1990|ember|south|rotor|53|pending
1806|cobalt|north|gasket|60|paid
1888|cobalt|south|pump|20|shipped
1392|birch|east|pump|33|shipped
1425|gale|west|pump|26|shipped
1371|fulton|west|cable|25|pending
1783|dorian|west|cable|45|held
1293|gale|west|cable|11|paid
1274|ionic|south|frame|83|pending
1476|harbor|north|frame|33|pending
1591|cobalt|south|frame|72|pending
1166|birch|west|frame|52|held
1584|harbor|east|valve|99|pending
1242|acme|north|frame|36|held
1349|dorian|south|gasket|52|shipped
1741|juno|north|sensor|86|shipped
1111|fulton|south|cable|46|pending
1152|juno|west|panel|39|held
1746|gale|west|gasket|28|pending
2128|juno|west|frame|73|shipped
1375|gale|west|rotor|39|held
1245|fulton|west|frame|63|shipped
2070|cobalt|north|pump|54|held
1383|fulton|east|cable|96|held
1984|birch|east|cable|57|held
1855|ionic|east|pump|28|held
2101|ionic|west|rotor|56|pending
2114|acme|south|sensor|98|shipped
1483|cobalt|east|panel|19|paid
1454|gale|south|gasket|84|shipped
2104|harbor|north|cable|18|held
1132|fulton|south|frame|91|shipped
1075|cobalt|south|valve|65|pending
1695|gale|west|gasket|21|held
1824|juno|south|frame|51|pending
2058|dorian|north|panel|50|held
1054|cobalt|east|valve|63|pending
1091|cobalt|east|gasket|70|pending
1429|juno|west|frame|11|shipped
1556|juno|west|cable|58|pending
1554|ember|east|sensor|26|shipped
1860|fulton|east|pump|87|shipped
1462|harbor|west|cable|40|held
1407|ionic|west|rotor|29|paid
1998|fulton|north|sensor|48|shipped
1337|fulton|west|pump|50|pending
1183|ionic|north|panel|84|shipped
1292|juno|north|valve|30|paid
1597|gale|west|cable|89|shipped
2121|gale|north|sensor|27|shipped
1279|juno|west|pump|18|shipped
1222|birch|east|panel|90|shipped
1396|ember|north|frame|38|held
1621|juno|south|cable|23|paid
1236|harbor|east|rotor|93|held
1493|ionic|east|gasket|62|shipped
1516|birch|east|valve|52|held
1427|dorian|west|rotor|32|pending
1752|juno|east|rotor|98|shipped
2056|ionic|west|rotor|99|pending
1668|ember|south|cable|32|pending
1925|cobalt|east|pump|20|pending
1851|ember|north|rotor|70|paid
1448|birch|west|panel|77|shipped
2015|harbor|south|pump|84|pending
1604|harbor|west|sensor|42|held
1156|cobalt|north|pump|49|paid
2005|acme|south|gasket|65|shipped
1909|gale|north|rotor|21|held
1341|ember|north|pump|78|paid
1829|acme|south|gasket|13|paid
1145|ionic|south|panel|32|pending
1176|acme|west|sensor|66|shipped
1729|cobalt|south|sensor|92|paid
1690|fulton|south|panel|85|paid
2097|ionic|north|cable|72|pending
1974|gale|north|pump|69|pending
2138|dorian|south|sensor|14|held
1089|cobalt|south|valve|86|pending
1978|fulton|north|cable|25|paid
1662|birch|east|valve|72|held
1217|acme|east|valve|72|shipped
1252|harbor|west|gasket|87|held
2037|ember|east|sensor|18|paid
1382|acme|south|sensor|66|pending
1717|birch|east|cable|34|shipped
1241|harbor|south|cable|14|shipped
1654|birch|west|sensor|22|shipped
1499|ionic|east|panel|58|paid
1714|acme|north|pump|82|held
1786|juno|south|panel|12|shipped
1360|ember|north|panel|26|held
1072|cobalt|south|valve|60|paid
1203|acme|south|gasket|11|held
1955|gale|east|pump|55|shipped
1534|fulton|north|pump|16|pending
2061|cobalt|north|cable|62|held
1737|cobalt|west|rotor|67|paid
1808|ember|west|cable|93|paid
1323|dorian|north|gasket|91|held
2134|gale|west|frame|74|paid
2018|fulton|south|frame|27|shipped
1238|ionic|east|gasket|43|paid
2088|ionic|north|frame|63|paid
1386|fulton|south|panel|63|held
2010|fulton|north|cable|22|pending
1652|birch|west|panel|24|shipped
1573|ember|south|gasket|29|pending
2105|harbor|west|frame|31|shipped
1334|acme|north|frame|80|paid
1443|birch|west|frame|84|pending
1404|acme|west|pump|77|pending
1535|cobalt|north|frame|27|paid
1256|ember|west|sensor|65|shipped
1533|fulton|south|rotor|48|pending
1763|cobalt|east|cable|31|shipped
2145|birch|east|pump|26|pending
1318|dorian|north|panel|49|held
2019|ember|north|rotor|73|held
2080|acme|west|rotor|92|paid
1580|birch|west|cable|17|held
1350|harbor|east|frame|29|shipped
1755|acme|east|rotor|28|pending
2024|ember|north|frame|50|held
1872|ember|west|rotor|64|paid
1189|juno|east|valve|66|pending
1901|ionic|east|rotor|48|held
1142|ionic|west|rotor|70|held
2077|dorian|east|cable|97|shipped
1566|cobalt|west|gasket|10|shipped
1196|harbor|west|pump|17|pending
2095|gale|east|rotor|59|shipped
1490|dorian|south|pump|61|held
1937|ember|west|cable|96|held
1512|juno|north|cable|57|paid
1405|ember|east|cable|54|pending
1876|dorian|north|valve|38|pending
1257|juno|south|pump|53|pending
1202|cobalt|north|panel|85|held
1459|fulton|south|pump|63|pending
1064|cobalt|south|panel|72|pending
1469|harbor|east|pump|61|held
1385|acme|east|gasket|68|held
1617|ember|north|valve|35|shipped
1561|gale|south|valve|55|paid
2108|dorian|east|rotor|32|pending
1413|birch|west|gasket|49|paid
1772|gale|north|panel|60|shipped
2148|gale|south|gasket|76|paid
1981|cobalt|north|rotor|10|held
1613|gale|east|gasket|75|held
1315|juno|north|frame|39|held
1938|juno|east|gasket|41|pending
1569|ember|north|frame|83|held
1340|cobalt|south|sensor|62|shipped
1300|ember|west|frame|42|paid
1455|gale|south|cable|51|pending
1547|acme|north|gasket|43|held
2085|dorian|east|gasket|83|held
1192|fulton|north|rotor|45|held
1303|juno|south|rotor|11|pending
1437|acme|south|cable|29|held
1363|birch|east|gasket|83|pending
1285|birch|south|pump|91|held
1395|juno|east|panel|20|paid
1993|gale|south|sensor|58|pending
1129|fulton|south|gasket|64|paid
1839|cobalt|east|panel|87|held
1802|harbor|east|gasket|75|shipped
1803|juno|west|sensor|99|paid
2159|harbor|north|cable|90|held
1756|ember|west|sensor|51|held
1635|ionic|north|cable|87|shipped
1115|fulton|east|gasket|50|pending
1815|harbor|east|cable|18|held
2043|acme|west|cable|16|pending
1568|dorian|east|panel|72|shipped
1592|ember|west|panel|46|held
1053|cobalt|south|gasket|24|pending
1283|cobalt|east|valve|35|held
1078|cobalt|east|rotor|88|pending
1818|dorian|north|gasket|26|paid
1068|cobalt|north|gasket|65|pending
2154|gale|west|panel|86|pending
1685|cobalt|east|sensor|18|held
1826|birch|east|panel|94|shipped
1345|fulton|east|valve|57|pending
1627|cobalt|west|rotor|73|held
2031|juno|south|frame|91|shipped
1506|harbor|west|frame|42|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "restock", "args": {"item": "pump", "qty": 82}},
    {"tool": "restock", "args": {"item": "frame", "qty": 72}},
    {"tool": "cancel_order", "args": {"order_id": 1075}},
    {"tool": "cancel_order", "args": {"order_id": 1091}}
]

correctagentic.tools.deploy-v1conf 100% · 6.6s · $0.000 · 108 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "deploy", "args": {"service": "gateway"}},
    {"tool": "deploy", "args": {"service": "auth-svc"}},
    {"tool": "deploy", "args": {"service": "notifier"}},
    {"tool": "health_check", "args": {"service": "notifier"}},
    {"tool": "deploy", "args": {"service": "reports"}}
]

wrongagentic.tools.context-load-v1conf 100% · 739ms · $0.005 · 4835 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 (229 records, format: id|customer|region|item|qty|status):
```
1780|birch|west|cable|15|paid
1473|cobalt|east|sensor|63|shipped
2154|fulton|north|valve|81|held
1341|ember|north|gasket|97|pending
1749|birch|east|sensor|93|pending
1854|birch|east|gasket|61|pending
2075|juno|north|panel|96|shipped
1685|acme|west|pump|65|held
1707|gale|south|cable|21|paid
1840|cobalt|south|gasket|84|held
1428|ember|north|sensor|94|shipped
1864|fulton|south|frame|44|paid
1386|ember|north|rotor|60|held
1602|ionic|east|cable|80|paid
2033|birch|north|pump|72|shipped
1418|ionic|north|sensor|60|pending
1889|ember|north|gasket|62|held
2052|juno|east|pump|47|pending
2132|juno|north|frame|53|held
2188|birch|east|sensor|21|shipped
1779|gale|north|sensor|77|pending
1439|cobalt|west|panel|59|shipped
1525|harbor|north|panel|36|shipped
1858|gale|north|panel|52|pending
1902|fulton|north|valve|34|pending
1578|dorian|south|cable|24|held
1826|fulton|north|gasket|63|shipped
1454|acme|east|pump|88|paid
1618|fulton|west|sensor|52|held
1542|gale|east|pump|57|pending
2269|acme|west|panel|28|pending
1528|juno|west|frame|20|paid
2247|ember|east|cable|37|paid
2270|birch|west|panel|31|shipped
1544|gale|south|pump|52|held
2197|gale|west|cable|25|shipped
1815|ember|north|panel|32|held
1809|harbor|east|panel|83|paid
1886|harbor|west|valve|37|held
2081|ionic|north|gasket|75|held
2171|acme|east|cable|92|held
2013|fulton|north|cable|10|paid
1613|birch|north|frame|11|paid
2252|ember|east|sensor|35|paid
1356|ember|south|cable|40|pending
1792|harbor|east|cable|47|paid
1679|ionic|west|sensor|31|paid
1992|gale|north|frame|31|shipped
1642|acme|east|valve|19|shipped
1788|ionic|south|rotor|83|held
1925|gale|east|valve|45|pending
2093|fulton|north|rotor|12|paid
2098|fulton|south|gasket|92|paid
1659|juno|south|gasket|74|shipped
1479|birch|south|cable|14|pending
2102|dorian|north|gasket|81|held
1522|dorian|east|valve|82|shipped
1583|harbor|north|sensor|53|held
1710|cobalt|west|pump|10|pending
1398|acme|west|frame|90|pending
2094|dorian|south|pump|82|shipped
1580|fulton|south|frame|45|held
1693|gale|west|panel|18|shipped
2120|acme|west|frame|10|paid
2210|harbor|west|valve|59|paid
1411|harbor|south|cable|98|pending
2105|acme|north|gasket|92|pending
2259|juno|east|cable|73|held
2138|acme|north|valve|60|shipped
1443|harbor|south|frame|77|paid
1538|cobalt|north|gasket|53|shipped
2062|fulton|east|valve|42|paid
2036|dorian|north|cable|15|pending
1491|ember|south|frame|51|held
2058|juno|north|valve|86|shipped
2035|ionic|east|gasket|80|paid
1465|harbor|south|valve|50|held
1667|acme|south|frame|45|paid
2026|juno|east|valve|34|held
1976|dorian|west|pump|27|paid
1557|ember|east|pump|91|pending
1458|cobalt|west|rotor|42|shipped
1584|birch|west|gasket|17|pending
2181|gale|south|frame|47|held
1733|cobalt|north|panel|51|shipped
1518|harbor|south|valve|79|held
1885|ionic|east|sensor|58|held
1645|ember|north|frame|50|shipped
1939|juno|west|cable|42|shipped
1404|harbor|south|rotor|26|held
2242|ember|east|sensor|95|paid
1836|harbor|west|sensor|10|pending
2000|juno|north|valve|18|shipped
1363|ember|north|frame|99|shipped
1978|gale|west|rotor|41|shipped
2222|harbor|west|cable|11|held
2122|dorian|north|frame|26|shipped
1551|fulton|east|panel|84|held
2112|acme|north|frame|47|pending
1875|cobalt|west|valve|39|held
1841|acme|west|cable|43|paid
1818|dorian|west|rotor|73|held
1798|gale|west|valve|44|held
1664|birch|north|panel|37|shipped
2021|gale|south|cable|10|held
2048|cobalt|north|gasket|86|held
1571|cobalt|north|rotor|93|paid
1870|cobalt|east|sensor|58|paid
2068|cobalt|west|panel|66|pending
1638|acme|east|panel|53|shipped
2012|birch|south|frame|77|shipped
1742|cobalt|west|frame|60|pending
2163|ionic|west|valve|38|shipped
1766|harbor|north|valve|58|pending
1448|harbor|south|sensor|91|pending
2071|fulton|east|gasket|86|pending
1900|acme|east|valve|15|shipped
1825|juno|east|rotor|54|paid
1848|juno|south|gasket|30|pending
2198|acme|west|valve|78|pending
1380|ember|east|sensor|38|pending
1913|ionic|north|panel|92|pending
2217|cobalt|west|pump|13|pending
1753|juno|south|pump|34|pending
1574|gale|east|frame|65|paid
2150|birch|west|cable|98|pending
1932|harbor|west|gasket|88|shipped
1776|fulton|south|sensor|63|paid
1564|ember|west|sensor|49|pending
1494|harbor|east|pump|70|paid
1717|birch|north|rotor|58|pending
2064|fulton|south|panel|82|paid
2089|acme|south|gasket|85|shipped
1434|harbor|south|panel|31|pending
1726|gale|south|pump|82|paid
1673|fulton|east|frame|85|shipped
1534|ember|west|sensor|13|shipped
1938|cobalt|north|valve|73|shipped
1760|cobalt|west|valve|43|held
2055|dorian|west|pump|59|held
1490|harbor|north|panel|85|pending
1920|cobalt|west|valve|33|pending
2032|fulton|west|valve|51|shipped
2125|birch|south|valve|56|paid
2274|juno|south|gasket|10|paid
1589|birch|north|pump|71|pending
1469|ember|west|panel|87|shipped
1485|ionic|north|gasket|97|held
1537|harbor|east|valve|15|pending
2194|juno|west|valve|72|held
1797|gale|west|panel|47|held
1512|acme|north|gasket|95|held
1652|ionic|south|frame|99|shipped
1369|ember|east|frame|36|pending
2144|acme|south|cable|81|paid
1663|acme|west|panel|77|held
1604|acme|west|valve|43|paid
1505|cobalt|east|pump|76|held
1703|harbor|west|rotor|68|pending
2041|dorian|east|valve|98|pending
1500|juno|south|gasket|10|shipped
2164|fulton|west|panel|42|held
2156|ionic|south|panel|32|paid
1565|fulton|east|valve|70|paid
1893|acme|west|gasket|94|shipped
1629|acme|south|cable|37|held
2229|cobalt|south|gasket|92|shipped
1722|fulton|west|frame|40|pending
1513|juno|north|sensor|73|pending
1579|harbor|south|panel|11|held
1367|ember|north|valve|28|pending
1610|dorian|north|rotor|26|shipped
1771|ember|east|frame|21|shipped
1391|birch|east|sensor|13|pending
1718|cobalt|east|rotor|44|shipped
1425|ionic|south|pump|15|pending
2085|juno|east|valve|66|held
1957|harbor|south|frame|95|paid
1688|fulton|south|rotor|73|held
2244|ember|north|panel|95|pending
1535|acme|west|frame|68|held
1759|fulton|north|valve|16|held
2006|harbor|north|frame|40|paid
1784|juno|north|sensor|48|shipped
1989|harbor|north|panel|20|held
2161|ionic|west|rotor|59|held
1375|ember|north|pump|71|shipped
1575|gale|west|panel|58|paid
1961|ember|north|sensor|85|pending
2114|acme|west|rotor|55|held
2236|juno|west|pump|90|held
1696|juno|west|gasket|74|pending
1767|birch|east|valve|11|held
1419|dorian|south|valve|18|pending
2059|ionic|south|frame|49|shipped
1927|ionic|west|gasket|71|shipped
1631|harbor|south|panel|69|pending
1981|ionic|east|cable|40|pending
1880|acme|south|gasket|15|shipped
1739|ember|south|sensor|10|held
1379|ember|north|cable|90|pending
2203|birch|west|frame|79|shipped
1347|ember|east|valve|98|pending
1951|gale|east|gasket|13|shipped
2018|juno|north|sensor|18|held
2175|dorian|east|gasket|63|shipped
1596|birch|north|sensor|11|paid
1833|birch|west|pump|68|held
2264|harbor|west|gasket|50|held
1882|ionic|north|valve|77|paid
1507|juno|west|sensor|88|paid
1348|ember|north|sensor|38|paid
1975|birch|south|pump|14|pending
1773|juno|north|panel|98|held
1876|ionic|east|sensor|33|pending
1802|dorian|west|panel|27|held
1905|acme|south|gasket|15|paid
1355|ember|north|valve|97|pending
1762|juno|west|valve|29|shipped
1866|ionic|north|rotor|78|pending
1946|gale|north|rotor|99|pending
1422|harbor|east|rotor|47|held
1968|ionic|south|valve|79|held
1624|dorian|north|cable|28|paid
1997|acme|north|gasket|45|shipped
1988|acme|west|valve|35|held
2240|acme|south|gasket|99|shipped
1908|harbor|west|cable|41|shipped
1563|harbor|south|cable|14|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "restock", "args": {"item": "frame", "qty": 99}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 98}},
    {"tool": "restock", "args": {"item": "valve", "qty": 97}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 97}},
    {"tool": "restock", "args": {"item": "cable", "qty": 90}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 85}},
    {"tool": "restock", "args": {"item": "frame", "qty": 71}},
    {"tool": "restock", "args": {"item": "valve", "qty": 68}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 66}},
    {"tool": "cancel_order", "args": {"order_id": 1341}},
    {"tool": "cancel_order", "args": {"order_id": 1355}},
    {"tool": "cancel_order", "args": {"order_id": 1363}},
    {"tool": "cancel_order", "args": {"order_id": 1367}},
    {"tool": "cancel_order", "args": {"order_id": 1369}},
    {"tool": "cancel_order", "args": {"order_id": 1375}},
    {"tool": "cancel_order", "args": {"order_id": 1379}},
    {"tool": "cancel_order", "args": {"order_id": 1380}},
    {"tool": "cancel_order", "args": {"order_id": 1386}},
    {"tool": "cancel_order", "args": {"order_id": 1391}},
    {"tool": "cancel_order", "args": {"order_id": 1411}},
    {"tool": "cancel_order", "args": {"order_id": 1413}},
    {"tool": "cancel_order", "args": {"order_id": 1418}},
    {"tool": "cancel_order", "args": {"order_id": 1425}},
    {"tool": "cancel_order", "args": {"order_id": 1434}},
    {"tool": "cancel_order", "args": {"order_id": 1448}},
    {"tool": "cancel_order", "args": {"order_id": 1454}},
    {"tool": "cancel_order", "args": {"order_id": 1465}},
    {"tool": "cancel_order", "args": {"order_id": 1473}},
    {"tool": "cancel_order", "args": {"order_id": 1479}},
    {"tool": "cancel_order", "args": {"order_id": 1490}},
    {"tool": "cancel_order", "args": {"order_id": 1491}},
    {"tool": "cancel_order", "args": {"order_id": 1494}},
    {"tool": "cancel_order", "args": {"order_id": 1500}},
    {"tool": "cancel_order", "args": {"order_id": 1505}},
    {"tool": "cancel_order", "args": {"order_id": 1507}},
    {"tool": "cancel_order", "args": {"order_id": 1512}},
    {"tool": "cancel_order", "args": {"order_id": 1513}},
    {"tool": "cancel_order", "args": {"order_id": 1518}},
    {"tool": "cancel_order", "args": {"order_id": 1522}},
    {"tool": "cancel_order", "args": {"order_id": 1525}},
    {"tool": "cancel_order", "args": {"order_id": 1528}},
    {"tool": "cancel_order", "args": {"order_id": 1534}},
    {"tool": "cancel_order", "args": {"order_id": 1535}},
    {"tool": "cancel_order", "args": {"order_id": 1537}},
    {"tool": "cancel_order", "args": {"order_id": 1538}},
    {"tool": "cancel_order", "args": {"order_id": 1542}},
    {"tool": "cancel_order", "args": {"order_id": 1544}},
    {"tool": "cancel_order", "args": {"order_id": 1551}},
    {"tool": "cancel_order", "args": {"order_id": 1557}},
    {"tool": "cancel_order", "args": {"order_id": 1563}},
    {"tool": "cancel_order", "args": {"order_id": 1564}},
    {"tool": "cancel_order", "args": {"order_id": 1565}},
    {"tool": "cancel_order", "args": {"order_id": 1571}},
    {"tool": "cancel_order", "args": {"order_id": 1574}},
    {"tool": "cancel_order", "args": {"order_id": 1575}},
    {"tool": "cancel_order", "args": {"order_id": 1578}},
    {"tool": "cancel_order", "args": {"order_id": 1579}},
    {"tool": "cancel_order", "args": {"order_id": 1580}},
    {"tool": "cancel_order", "args": {"order_id": 1583}},
    {"tool": "cancel_order", "args": {"order_id": 1584}},
    {"tool": "cancel_order", "args": {"order_id": 1589}},
    {"tool": "cancel_order", "args": {"order_id": 1596}},
    {"tool": "cancel_order", "args": {"order_id": 1602}},
    {"tool": "cancel_order", "args": {"order_id": 1604}},
    {"tool": "cancel_order", "args": {"order_id": 1610}},
    {"tool": "cancel_order", "args": {"order_id": 1613}},
    {"tool": "cancel_order", "args": {"order_id": 1618}},
    {"tool": "cancel_order", "args": {"order_id": 1624}},
    {"tool": "cancel_order", "args": {"order_id": 1629}},
    {"tool": "cancel_order", "args": {"order_id": 1631}},
    {"tool": "cancel_order", "args": {"order_id": 1638}},
    {"tool": "cancel_order", "args": {"order_id": 1642}},
    {"tool": "cancel_order", "args": {"order_id": 1645}},
    {"tool": "cancel_order", "args": {"order_id": 1652}},
    {"tool": "cancel_order", "args": {"order_id": 1659}},
    {"tool": "cancel_order", "args": {"order_id": 1663}},
    {"tool": "cancel_order", "args": {"order_id": 1664}},
    {"tool": "cancel_order", "args": {"order_id": 1667}},
    {"tool": "cancel_order", "args": {"order_id": 1673}},
    {"tool": "cancel_order", "args": {"order_id": 1676}},
    {"tool": "cancel_order", "args": {"order_id": 1679}},
    {"tool": "cancel_order", "args": {"order_id": 1685}},
    {"tool": "cancel_order", "args": {"order_id": 1688}},
    {"tool": "cancel_order", "args": {"order_id": 1693}},
    {"tool": "cancel_order", "args": {"order_id": 1696}},
    {"tool": "cancel_order", "args": {"order_id": 1703}},
    {"tool": "cancel_order", "args": {"order_id": 1707}},
    {"tool": "cancel_order", "args": {"order_id": 1710}},
    {"tool": "cancel_order", "args": {"order_id": 1717}},
    {"tool": "cancel_order", "args": {"order_id": 1718}},
    {"tool": "cancel_order", "args": {"order_id": 1722}},
    {"tool": "cancel_order", "args": {"order_id": 1726}},
    {"tool": "cancel_order", "args": {"order_id": 1733}},
    {"tool": "cancel_order", "args": {"order_id": 1739}},
    {"tool": "cancel_order", "args": {"order_id": 1742}},
    {"tool": "cancel_order", "args": {"order_id": 1749}},
    {"tool": "cancel_order", "args": {"order_id": 1753}},
    {"tool": "cancel_order", "args": {"order_id": 1759}},
    {"tool": "cancel_order", "args": {"order_id": 1760}},
    {"tool": "cancel_order", "args": {"order_id": 1762}},
    {"tool": "cancel_order", "args": {"order_id": 1766}},
    {"tool": "cancel_order", "args": {"order_id": 1767}},
    {"tool": "cancel_order", "args": {"order_id": 1771}},
    {"tool": "cancel_order", "args": {"order_id": 1773}},
    {"tool": "cancel_order", "args": {"order_id": 1776}},
    {"tool": "cancel_order", "args": {"order_id": 1779}},
    {"tool": "cancel_order", "args": {"order_id": 1780}},
    {"tool": "cancel_order", "args": {"order_id": 1784}},
    {"tool": "cancel_order", "args": {"order_id": 1788}},
    {"tool": "cancel_order", "args": {"order_id": 1792}},
    {"tool": "cancel_order", "args": {"order_id": 1797}},
    {"tool": "cancel_order", "args": {"order_id": 1798}},
    {"tool": "cancel_order", "args": {"order_id": 1802}},
    {"tool": "cancel_order", "args": {"order_id": 1809}},
    {"tool": "cancel_order", "args": {"order_id": 1815}},
    {"tool": "cancel_order", "args": {"order_id": 1818}},
    {"tool": "cancel_order", "args": {"order_id": 1825}},
    {"tool": "cancel_order", "args": {"order_id": 1826}},
    {"tool": "cancel_order", "args": {"order_id": 1833}},
    {"tool": "cancel_order", "args": {"order_id": 1836}},
    {"tool": "cancel_order", "args": {"order_id": 1840}},
    {"tool": "cancel_order", "args": {"order_id": 1841}},
    {"tool": "cancel_order", "args": {"order_id": 1848}},
    {"tool": "cancel_order", "args": {"order_id": 1854}},
    {"tool": "cancel_order", "args": {"order_id": 1858}},
    {"tool": "cancel_order", "args": {"order_id": 1864}},
    {"tool": "cancel_order", "args": {"order_id": 1866}},
    {"tool": "cancel_order", "args": {"order_id": 1870}},
    {"tool": "cancel_order", "args": {"order_id": 1875}},
    {"tool": "cancel_order", "args": {"order_id": 1876}},
    {"tool": "cancel_order", "args": {"order_id": 1880}},
    {"tool": "cancel_order", "args": {"order_id": 1882}},
    {"tool": "cancel_order", "args": {"order_id": 1885}},
    {"tool": "cancel_order", "args": {"order_id": 1886}},
    {"tool": "cancel_order", "args": {"order_id": 1889}},
    {"tool": "cancel_order", "args": {"order_id": 1893}},
    {"tool": "cancel_order", "args": {"order_id": 1900}},
    {"tool": "cancel_order", "args": {"order_id": 1902}},
    {"tool": "cancel_order", "args": {"order_id": 1905}},
    {"tool": "cancel_order", "args": {"order_id": 1908}},
    {"tool": "cancel_order", "args": {"order_id": 1913}},
    {"tool": "cancel_order", "args": {"order_id": 1918}},
    {"tool": "cancel_order", "args": {"order_id": 1920}},
    {"tool": "cancel_order", "args": {"order_id": 1925}},
    {"tool": "cancel_order", "args": {"order_id": 1927}},
    {"tool": "cancel_order", "args": {"order_id": 1932}},
    {"tool": "cancel_order", "args": {"order_id": 1938}},
    {"tool": "cancel_order", "args": {"order_id": 1939}},
    {"tool": "cancel_order", "args": {"order_id": 1946}},
    {"tool": "cancel_order", "args": {"order_id": 1951}},
    {"tool": "cancel_order", "args": {"order_id": 1957}},
    {"tool": "cancel_order", "args": {"order_id": 1961}},
    {"tool": "cancel_order", "args": {"order_id": 1968}},
    {"tool": "cancel_order", "args": {"order_id": 1975}},
    {"tool": "cancel_order", "args": {"order_id": 1976}},
    {"tool": "cancel_order", "args": {"order_id": 1978}},
    {"tool": "cancel_order", "args": {"order_id": 1981}},
    {"tool": "cancel_order", "args": {"order_id": 1988}},
    {"tool": "cancel_order", "args": {"order_id": 1989}},
    {"tool": "cancel_order", "args": {"order_id": 1992}},
    {"tool": "cancel_order", "args": {"order_id": 1997}},
    {"tool": "cancel_order", "args": {"order_id": 2000}},
    {"tool": "cancel_order", "args": {"order_id": 2006}},
    {"tool": "cancel_order", "args": {"order_id": 2012}},
    {"tool": "cancel_order", "args": {"order_id": 2013}},
    {"tool": "cancel_order", "args": {"order_id": 2018}},
    {"tool": "cancel_order", "args": {"order_id": 2021}},
    {"tool": "cancel_order", "args": {"order_id": 2026}},
    {"tool": "cancel_order", "args": {"order_id": 2032}},
    {"tool": "cancel_order", "args": {"order_id": 2033}},
    {"tool": "cancel_order", "args": {"order_id": 2035}},
    {"tool": "cancel_order", "args": {"order_id": 2036}},
    {"tool": "cancel_order", "args": {"order_id": 2041}},
    {"tool": "cancel_order", "args": {"order_id": 2048}},
    {"tool": "cancel_order", "args": {"order_id": 2052}},
    {"tool": "cancel_order", "args": {"order_id": 2055}},
    {"tool": "cancel_order", "args": {"order_id": 2058}},
    {"tool": "cancel_order", "args": {"order_id": 2059}},
    {"tool": "cancel_order", "args": {"order_id": 2062}},
    {"tool": "cancel_order", "args": {"order_id": 2064}},
    {"tool": "cancel_order", "args": {"order_id": 2068}},
    {"tool": "cancel_order", "args": {"order_id": 2071}},
    {"tool": "cancel_order", "args": {"order_id": 2075}},
    {"tool": "cancel_order", "args": {"order_id": 2081}},
    {"tool": "cancel_order", "args": {"order_id": 2085}},
    {"tool": "cancel_order", "args": {"order_id": 2089}},
    {"tool": "cancel_order", "args": {"order_id": 2093}},
    {"tool": "cancel_order", "args": {"order_id": 2094}},
    {"tool": "cancel_order", "args": {"order_id": 2098}},
    {"tool": "cancel_order", "args": {"order_id": 2102}},
    {"tool": "cancel_order", "args": {"order_id": 2105}},
    {"tool": "cancel_order", "args": {"order_id": 2112}},
    {"tool": "cancel_order", "args": {"order_id": 2114}},
    {"tool": "cancel_order", "args": {"order_id": 2120}},
    {"tool": "cancel_order", "args": {"order_id": 2122}},
    {"tool": "cancel_order", "args": {"order_id": 2125}},
    {"tool": "cancel_order", "args": {"order_id": 2132}},
    {"tool": "cancel_order", "args": {"order_id": 2138}},
    {"tool": "cancel_order", "args": {"order_id": 2144}},
    {"tool": "cancel_order", "args": {"order_id": 2150}},
    {"tool": "cancel_order", "args": {"order_id": 2154}},
    {"tool": "cancel_order", "args": {"order_id": 2156}},
    {"tool": "cancel_order", "args": {"order_id": 2161}},
    {"tool": "cancel_order", "args": {"order_id": 2163}},
    {"tool": "cancel_order", "args": {"order_id": 2164}},
    {"tool": "cancel_order", "args": {"order_id": 2171}},
    {"tool": "cancel_order", "args": {"order_id": 2175}},
    {"tool": "cancel_order", "args": {"order_id": 2181}},
    {"tool": "cancel_order", "args": {"order_id": 2188}},
    {"tool": "cancel_order", "args": {"order_id": 2194}},
    {"tool": "cancel_order", "args": {"order_id": 2197}},
    {"tool": "cancel_order", "args": {"order_id": 2198}},
    {"tool": "cancel_order", "args": {"order_id": 2203}},
    {"tool": "cancel_order", "args": {"order_id": 2210}},
    {"tool": "cancel_order", "args": {"order_id": 2217}},
    {"tool": "cancel_order", "args": {"order_id": 2222}},
    {"tool": "cancel_order", "args": {"order_id": 2229}},
    {"tool": "cancel_order", "args": {"order_id": 2236}},
    {"tool": "cancel_order", "args": {"order_id": 2240}},
    {"tool": "cancel_order", "args": {"order_id": 2242}},
    {"tool": "cancel_order", "args": {"order_id": 2244}},
    {"tool": "cancel_order", "args": {"order_id": 2247}},
    {"tool": "cancel_order", "args": {"order_id": 2252}},
    {"tool": "cancel_order", "args": {"order_id": 2259}},
    {"tool": "cancel_order", "args": {"order_id": 2264}},
    {"tool": "cancel_order", "args": {"order_id": 2269}},
    {"tool": "cancel_order", "args": {"order_id": 2270}},
    {"tool": "cancel_order", "args": {"order_id": 2274}}
]

wrongagentic.tools.context-load-v1conf 100% · 713ms · $0.001 · 184 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 (162 records, format: id|customer|region|item|qty|status):
```
1382|ionic|east|cable|59|held
1413|ionic|north|rotor|83|pending
1630|ember|west|frame|92|shipped
1448|birch|north|rotor|88|pending
1987|dorian|north|rotor|66|held
1981|juno|north|rotor|24|shipped
2011|ionic|north|valve|95|held
1426|ionic|east|panel|27|held
1518|harbor|south|frame|77|held
1922|cobalt|south|frame|29|shipped
1677|juno|east|rotor|39|pending
1913|birch|east|frame|43|held
1932|gale|east|pump|42|pending
1665|juno|south|cable|47|pending
1794|juno|south|pump|69|held
1712|acme|south|pump|43|paid
1516|gale|west|gasket|35|held
1878|harbor|south|gasket|64|shipped
1875|gale|north|rotor|60|paid
1785|dorian|south|gasket|64|paid
1446|acme|east|panel|70|pending
1509|juno|north|valve|40|paid
1978|ember|south|panel|13|paid
1853|acme|north|gasket|72|pending
1615|ember|east|valve|81|shipped
1485|birch|south|panel|85|paid
1702|birch|north|sensor|47|held
1462|ionic|south|valve|65|shipped
1715|acme|east|sensor|25|paid
1837|cobalt|south|sensor|27|pending
1741|ember|south|panel|55|shipped
1629|ionic|north|frame|12|paid
1618|acme|west|gasket|70|pending
1736|birch|south|frame|96|held
1428|birch|west|gasket|43|shipped
1501|harbor|north|gasket|43|held
1925|ionic|east|sensor|18|pending
1486|harbor|east|gasket|67|paid
2010|gale|north|valve|65|paid
1653|acme|south|sensor|45|shipped
2012|acme|east|sensor|85|paid
1859|gale|west|pump|56|shipped
1889|ember|west|gasket|58|pending
1405|ionic|east|panel|32|paid
1750|ionic|west|rotor|22|held
1903|cobalt|east|valve|19|paid
1595|juno|south|panel|12|shipped
2008|juno|south|pump|80|held
1560|dorian|east|frame|41|held
1650|cobalt|north|cable|66|held
1939|ember|north|panel|35|pending
1790|gale|east|frame|82|shipped
1700|dorian|east|sensor|95|shipped
1847|ember|west|panel|68|paid
1684|ember|east|pump|36|held
1505|dorian|north|frame|56|held
1734|gale|north|valve|60|shipped
1536|ember|south|rotor|68|pending
1575|acme|east|gasket|83|held
1814|birch|south|frame|13|shipped
2005|gale|south|frame|99|shipped
1627|harbor|north|rotor|74|held
1533|ember|west|pump|69|paid
1420|ionic|east|pump|15|held
1866|ember|south|frame|89|paid
1422|ionic|east|rotor|51|pending
1543|acme|south|cable|18|held
1381|ionic|south|valve|24|pending
1920|ionic|north|panel|45|pending
1637|acme|east|valve|98|shipped
1471|ionic|south|pump|50|pending
1890|dorian|north|pump|20|pending
1658|juno|east|panel|17|pending
1408|ionic|east|frame|29|pending
1497|acme|south|valve|54|pending
1603|acme|west|gasket|38|pending
1566|ember|north|gasket|43|paid
1992|cobalt|west|valve|22|paid
1982|ember|east|rotor|71|paid
1867|cobalt|west|cable|62|paid
1576|ionic|north|valve|22|paid
1569|birch|south|panel|82|shipped
1467|gale|west|valve|49|held
1851|gale|north|pump|16|pending
1718|harbor|north|gasket|47|paid
1778|acme|south|cable|50|paid
1840|gale|east|panel|10|paid
1551|acme|east|pump|81|shipped
1604|dorian|east|rotor|69|pending
1907|birch|north|sensor|37|paid
1679|gale|west|valve|72|paid
1873|birch|south|cable|33|shipped
1834|acme|east|sensor|56|paid
1670|birch|west|sensor|15|shipped
1759|juno|east|panel|36|paid
1767|juno|east|rotor|71|shipped
1820|dorian|south|cable|31|paid
1389|ionic|east|sensor|33|pending
1404|ionic|west|valve|34|pending
1488|harbor|east|cable|56|held
1581|fulton|west|gasket|53|held
1697|birch|north|panel|41|pending
1955|fulton|west|gasket|19|pending
1998|ionic|north|pump|42|shipped
1440|birch|east|frame|60|pending
1815|gale|north|gasket|59|shipped
1636|juno|east|valve|67|shipped
1728|gale|south|rotor|11|shipped
1643|harbor|east|rotor|23|shipped
1808|harbor|south|rotor|32|paid
1395|ionic|west|frame|18|pending
1550|juno|north|gasket|64|pending
1480|ember|north|gasket|88|held
1628|harbor|south|pump|48|held
1614|cobalt|west|cable|42|paid
1689|juno|east|rotor|39|held
1739|ionic|south|panel|12|paid
1473|birch|north|rotor|86|shipped
1858|birch|east|rotor|46|paid
1514|juno|north|frame|73|paid
1493|cobalt|east|gasket|62|held
1854|dorian|east|sensor|15|shipped
1380|ionic|east|rotor|26|pending
1944|ember|east|frame|16|shipped
1951|ember|north|pump|45|pending
1455|ionic|west|valve|54|held
1621|dorian|north|rotor|19|paid
1586|gale|south|cable|10|pending
1743|fulton|south|panel|56|shipped
1740|ember|north|sensor|82|shipped
1765|dorian|south|frame|52|held
1774|harbor|north|frame|67|shipped
1693|acme|west|panel|70|shipped
1884|gale|west|gasket|62|paid
1432|harbor|east|sensor|18|shipped
1965|ember|south|sensor|15|held
1972|harbor|east|cable|57|pending
1897|dorian|south|cable|21|shipped
1423|ionic|north|rotor|93|pending
1558|harbor|west|rotor|61|pending
1705|cobalt|north|sensor|27|paid
1782|fulton|east|frame|55|paid
1801|juno|east|valve|57|paid
1827|acme|south|sensor|65|shipped
1777|gale|west|gasket|75|paid
1959|birch|south|cable|94|held
1524|dorian|south|valve|24|paid
1526|ember|south|pump|66|paid
1799|cobalt|south|frame|61|shipped
1723|dorian|east|cable|51|paid
1597|juno|west|sensor|64|paid
1399|ionic|east|gasket|48|pending
1675|gale|west|rotor|16|shipped
1398|ionic|east|frame|44|held
1722|dorian|south|gasket|46|held
1438|cobalt|south|frame|66|shipped
1609|juno|west|cable|15|pending
1656|ember|south|valve|44|paid
1606|juno|east|valve|58|paid
1589|fulton|south|panel|86|paid
1719|dorian|north|panel|95|pending
1756|ember|east|sensor|74|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 41, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "restock", "args": {"item": "rotor", "qty": 51}},
    {"tool": "restock", "args": {"item": "panel", "qty": 70}},
    {"tool": "restock", "args": {"item": "frame", "qty": 29}},
    {"tool": "restock", "args": {"item": "rotor", "qty": 26}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 33}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 48}},
    {"tool": "cancel_order", "args": {"order_id": 1420}}
]

correctagentic.tools.deploy-v1conf 100% · 475ms · $0.000 · 106 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "deploy", "args": {"service": "auth-svc"}},
    {"tool": "deploy", "args": {"service": "search"}},
    {"tool": "health_check", "args": {"service": "search"}},
    {"tool": "deploy", "args": {"service": "billing"}},
    {"tool": "deploy", "args": {"service": "gateway"}}
]

wrongagentic.tools.ledger-v1conf 100% · 428ms · $0.000 · 286 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $217
- kilo: $363
- alpha: $402

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $240 from "bravo" to "kilo"
2. pay $471 from "alpha" to "kilo"
3. pay $570 from "kilo" to "bravo"
4. pay $276 from "kilo" to "alpha"
5. pay $375 from "alpha" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 240}},
    {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 79}},
    {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 471}},
    {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 207}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 570}},
    {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 103}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 276}},
    {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 100}},
    {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 375}}
]

correctagentic.tools.triage-v1conf 100% · 548ms · $0.000 · 192 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
- auth → tanaka
- infra → chen

INCIDENTS:
1. "refund double-charged" (category: payments, priority 3)
2. "SSO loop on login" (category: auth, priority 5)
3. "refund double-charged" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 5}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]

wrongagentic.tools.context-load-v1conf 100% · 698ms · $0.001 · 408 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (181 records, format: id|customer|region|item|qty|status):
```
2186|acme|west|pump|42|held
1672|ionic|east|cable|15|pending
1893|juno|east|pump|18|held
1611|birch|east|frame|80|shipped
1664|birch|south|sensor|60|shipped
1710|dorian|south|rotor|66|paid
1901|gale|north|gasket|24|shipped
1824|dorian|south|pump|64|shipped
1670|harbor|north|frame|71|pending
2106|acme|east|rotor|98|paid
1795|juno|south|panel|97|pending
1913|acme|west|sensor|69|pending
1821|acme|south|sensor|31|paid
1936|cobalt|north|panel|95|paid
1737|dorian|south|panel|21|held
1579|dorian|west|panel|82|paid
1975|gale|east|gasket|99|shipped
2116|harbor|north|frame|44|paid
1962|gale|south|sensor|60|paid
1883|harbor|west|frame|47|held
1843|acme|west|sensor|46|shipped
1980|dorian|south|frame|43|shipped
1788|juno|north|pump|64|pending
1494|dorian|south|cable|97|held
1777|cobalt|south|cable|72|pending
2112|fulton|south|valve|66|shipped
1982|juno|east|valve|28|pending
2015|cobalt|west|cable|11|paid
2178|gale|north|gasket|68|paid
1869|fulton|north|pump|50|paid
1957|ember|south|rotor|21|shipped
2086|ember|south|gasket|51|pending
1573|ionic|west|frame|99|shipped
1489|dorian|east|rotor|96|pending
1995|cobalt|north|panel|41|shipped
1679|fulton|east|frame|24|shipped
1625|acme|east|gasket|75|shipped
1631|ember|north|cable|92|pending
1540|dorian|south|gasket|11|pending
1888|acme|south|sensor|21|held
2194|fulton|south|gasket|87|pending
1954|birch|north|valve|68|held
1934|cobalt|east|frame|85|paid
1598|juno|west|frame|96|shipped
1648|ember|east|panel|28|held
1535|dorian|south|sensor|94|shipped
1819|juno|west|pump|73|paid
1944|fulton|east|cable|92|held
1924|juno|south|sensor|83|held
1637|dorian|south|rotor|97|shipped
1866|fulton|west|panel|74|pending
1526|dorian|south|gasket|48|pending
2181|cobalt|north|panel|26|shipped
1592|harbor|east|pump|88|paid
1567|acme|south|cable|10|pending
1752|gale|south|cable|12|paid
2159|fulton|west|panel|62|held
1487|dorian|south|panel|24|pending
1719|cobalt|east|pump|10|pending
2037|juno|west|valve|86|held
1781|fulton|north|frame|38|paid
1723|dorian|north|cable|71|pending
1958|acme|north|valve|38|held
2166|acme|west|cable|59|paid
1889|ionic|south|cable|39|pending
1801|birch|south|rotor|41|shipped
1950|juno|west|pump|16|held
2110|ionic|south|panel|10|shipped
2114|cobalt|south|pump|28|held
2101|dorian|south|cable|37|pending
1612|cobalt|south|rotor|94|pending
2173|dorian|north|cable|99|paid
1691|dorian|east|gasket|26|pending
2073|gale|east|gasket|23|pending
1516|dorian|east|sensor|71|pending
1871|juno|south|frame|20|pending
2155|ember|east|gasket|16|pending
1920|ionic|east|pump|90|held
2154|cobalt|north|gasket|45|pending
2205|ionic|south|sensor|42|held
1969|birch|west|gasket|95|paid
2068|ember|north|rotor|14|shipped
1658|fulton|west|valve|90|shipped
1751|gale|north|cable|66|pending
1520|dorian|south|panel|17|held
2100|cobalt|north|frame|98|shipped
1848|acme|east|cable|99|paid
2088|ember|west|sensor|46|shipped
1987|dorian|east|pump|84|pending
1655|cobalt|south|sensor|15|shipped
1604|gale|north|gasket|94|shipped
1626|harbor|north|frame|27|held
1733|birch|south|cable|93|held
2199|fulton|east|panel|59|held
1498|dorian|south|valve|39|pending
1899|juno|south|panel|20|paid
1700|ember|south|gasket|74|held
1619|fulton|east|rotor|36|shipped
2061|dorian|west|cable|54|shipped
1533|dorian|west|gasket|52|pending
2143|birch|east|valve|73|shipped
1644|birch|east|pump|81|paid
2057|fulton|west|frame|63|shipped
1676|birch|north|sensor|45|shipped
1972|birch|east|frame|75|shipped
2136|juno|south|rotor|62|shipped
1681|cobalt|north|pump|63|held
1695|harbor|east|gasket|42|paid
1684|acme|south|gasket|92|paid
2047|acme|north|sensor|98|held
1947|juno|south|valve|93|pending
2183|birch|north|cable|10|paid
2097|juno|north|gasket|50|held
1561|birch|west|frame|57|pending
2129|birch|north|frame|32|held
1513|dorian|south|valve|87|pending
1930|fulton|east|pump|17|paid
2029|gale|east|pump|14|held
1742|juno|north|gasket|61|paid
1859|acme|north|gasket|79|pending
1717|acme|north|pump|83|held
1502|dorian|east|pump|14|pending
1553|gale|east|pump|40|held
1990|fulton|east|frame|45|shipped
1595|ember|east|frame|88|shipped
1727|fulton|south|gasket|42|pending
2053|cobalt|south|frame|87|paid
1870|fulton|south|rotor|62|paid
1911|harbor|east|frame|74|paid
1509|dorian|south|gasket|57|held
1831|harbor|west|rotor|38|paid
1618|birch|west|pump|70|held
1933|acme|south|pump|79|held
1812|acme|east|valve|66|shipped
2091|cobalt|east|sensor|76|held
1760|harbor|north|rotor|98|pending
1766|fulton|south|panel|52|held
1720|harbor|south|panel|12|pending
1551|dorian|south|rotor|37|held
2078|harbor|west|valve|15|pending
1706|birch|east|gasket|70|paid
2031|acme|south|panel|60|held
2119|gale|west|pump|20|shipped
2042|acme|north|valve|81|shipped
1896|ember|north|panel|89|held
1851|cobalt|west|rotor|37|shipped
2008|gale|east|cable|39|shipped
2188|juno|south|panel|43|shipped
2022|birch|east|sensor|12|shipped
1584|birch|north|pump|52|paid
2180|fulton|east|valve|65|pending
2141|acme|north|gasket|67|held
1885|dorian|west|gasket|83|shipped
1671|cobalt|east|frame|94|held
1544|dorian|east|cable|83|pending
1589|harbor|south|valve|16|shipped
1755|dorian|north|sensor|78|held
1647|dorian|south|valve|83|paid
1876|gale|south|cable|86|paid
1928|harbor|north|sensor|80|paid
1745|ember|east|frame|84|pending
1838|cobalt|south|gasket|13|held
1932|dorian|east|pump|36|shipped
1805|cobalt|east|rotor|16|pending
2083|ionic|east|frame|10|held
2103|birch|south|rotor|29|pending
1662|fulton|north|sensor|12|paid
2131|acme|west|panel|45|pending
2149|harbor|north|gasket|85|pending
1556|birch|west|gasket|65|paid
1839|ember|north|frame|58|paid
1904|birch|east|pump|64|shipped
1999|harbor|east|panel|73|pending
2006|fulton|south|gasket|80|pending
1858|harbor|west|cable|24|shipped
1705|cobalt|west|cable|24|paid
1772|acme|north|valve|56|pending
1940|harbor|south|cable|57|held
1602|gale|east|sensor|87|paid
1970|dorian|east|pump|54|pending
2122|cobalt|east|panel|35|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 53, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "restock", "args": {"item": "cable", "qty": 97}},
    {"tool": "restock", "args": {"item": "panel", "qty": 82}},
    {"tool": "restock", "args": {"item": "rotor", "qty": 97}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 94}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 57}},
    {"tool": "restock", "args": {"item": "valve", "qty": 87}},
    {"tool": "restock", "args": {"item": "cable", "qty": 37}},
    {"tool": "restock", "args": {"item": "rotor", "qty": 37}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 52}},
    {"tool": "restock", "args": {"item": "valve", "qty": 39}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 71}},
    {"tool": "restock", "args": {"item": "panel", "qty": 24}},
    {"tool": "restock", "args": {"item": "cable", "qty": 71}},
    {"tool": "restock", "args": {"item": "rotor", "qty": 21}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 48}},
    {"tool": "cancel_order", "args": {"order_id": 1540}}
]

correctagentic.tools.deploy-v1conf 100% · 500ms · $0.000 · 107 tok

question

You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
    {"tool": "deploy", "args": {"service": "search"}},
    {"tool": "deploy", "args": {"service": "notifier"}}
]

wrongagentic.tools.ledger-v1conf 100% · 513ms · $0.000 · 198 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $256
- bravo: $740
- oscar: $773

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $150 from "echo" to "bravo"
2. pay $473 from "echo" to "bravo"
3. pay $254 from "oscar" to "bravo"
4. pay $396 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": "echo", "to": "bravo", "amount": 150}},
    {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 223}},
    {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 473}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 254}},
    {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 142}},
    {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 396}}
]

wrongagentic.tools.triage-v1conf 100% · 398ms · $0.000 · 269 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 4)
2. "webhooks not delivered" (category: infra, priority 4)
3. "cannot reset password" (category: auth, priority 7)
4. "uploads failing intermittently" (category: infra, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
    {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}},
    {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}},
    {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}}
]

wrongagentic.tools.context-load-v1conf 100% · 853ms · $0.001 · 111 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (197 records, format: id|customer|region|item|qty|status):
```
1852|ember|west|cable|12|pending
1511|ember|south|frame|91|paid
1867|fulton|east|cable|43|paid
1378|birch|north|rotor|83|pending
1931|acme|north|rotor|18|shipped
1430|gale|north|rotor|21|paid
1418|harbor|north|cable|19|shipped
1337|birch|west|pump|79|paid
1566|acme|north|sensor|27|held
1903|harbor|north|panel|24|pending
1468|ember|south|rotor|49|shipped
1543|acme|east|panel|63|paid
1757|harbor|west|valve|36|shipped
1692|juno|east|pump|14|pending
1495|acme|south|rotor|47|held
1312|cobalt|west|gasket|30|held
1900|fulton|north|frame|78|held
1744|ionic|south|frame|57|held
1195|ionic|west|valve|75|paid
1236|juno|east|gasket|83|shipped
1743|juno|north|pump|24|paid
1285|harbor|north|sensor|41|pending
1872|acme|east|gasket|80|pending
1726|harbor|east|valve|61|shipped
1323|fulton|south|rotor|89|paid
1918|gale|east|rotor|77|pending
1763|gale|north|cable|15|paid
1297|juno|west|gasket|84|held
1756|birch|south|sensor|77|held
1251|fulton|east|rotor|71|shipped
1858|acme|north|valve|99|held
1534|dorian|west|gasket|14|paid
1722|harbor|north|frame|38|held
1824|ember|north|cable|83|paid
1573|birch|west|pump|13|held
1836|harbor|south|sensor|17|pending
1715|acme|south|valve|15|held
1453|cobalt|north|valve|75|pending
1398|harbor|north|pump|48|paid
1198|cobalt|west|frame|57|paid
1401|birch|south|rotor|48|held
1583|gale|north|gasket|19|shipped
1357|fulton|south|cable|14|pending
1332|fulton|west|pump|58|held
1628|juno|south|sensor|31|shipped
1609|juno|north|panel|38|pending
1525|ember|south|cable|75|held
1680|gale|east|valve|27|shipped
1327|cobalt|north|sensor|35|held
1477|ember|north|rotor|75|shipped
1355|ember|west|cable|65|held
1366|dorian|west|sensor|51|shipped
1161|dorian|south|sensor|93|pending
1439|acme|south|cable|33|pending
1549|acme|north|gasket|16|pending
1564|harbor|north|valve|94|shipped
1629|acme|south|gasket|96|paid
1678|harbor|south|panel|63|pending
1359|dorian|west|cable|13|held
1817|cobalt|east|pump|52|shipped
1488|cobalt|south|sensor|32|held
1886|fulton|west|rotor|11|pending
1510|gale|south|frame|64|held
1893|birch|east|frame|61|shipped
1435|juno|west|sensor|13|shipped
1405|fulton|north|gasket|93|pending
1909|fulton|north|cable|54|shipped
1423|ionic|west|sensor|23|pending
1232|harbor|east|sensor|69|held
1664|birch|west|frame|20|pending
1805|ionic|south|valve|69|pending
1563|harbor|south|rotor|80|pending
1945|fulton|north|valve|83|paid
1838|harbor|east|frame|78|paid
1619|ember|east|rotor|73|held
1521|cobalt|west|pump|28|shipped
1644|acme|south|frame|77|paid
1697|dorian|south|panel|60|pending
1591|acme|east|rotor|81|paid
1653|dorian|east|panel|47|pending
1775|cobalt|north|panel|11|held
1625|cobalt|south|rotor|53|shipped
1324|dorian|west|pump|84|paid
1363|fulton|north|valve|23|shipped
1275|cobalt|north|gasket|90|pending
1576|ember|east|cable|56|shipped
1404|fulton|south|frame|82|held
1674|dorian|west|frame|53|pending
1578|ionic|south|rotor|86|paid
1394|juno|east|rotor|99|shipped
1167|dorian|east|pump|11|pending
1711|juno|west|sensor|68|pending
1447|acme|north|cable|80|held
1911|ember|west|frame|70|shipped
1205|gale|south|frame|16|shipped
1180|dorian|east|frame|86|pending
1881|fulton|east|cable|12|pending
1769|ionic|east|cable|84|shipped
1154|dorian|south|valve|68|held
1150|dorian|north|frame|64|pending
1187|birch|east|gasket|51|pending
1938|gale|north|valve|70|paid
1946|ember|west|frame|27|shipped
1298|dorian|west|frame|11|held
1283|birch|west|frame|51|pending
1627|fulton|west|gasket|85|shipped
1412|ember|east|sensor|95|paid
1557|ember|east|frame|15|paid
1481|juno|east|frame|56|held
1317|juno|north|valve|66|shipped
1829|gale|south|frame|53|paid
1513|juno|east|rotor|81|paid
1471|cobalt|north|frame|29|pending
1646|gale|east|cable|43|paid
1174|dorian|south|gasket|17|held
1190|gale|east|frame|73|held
1873|ionic|east|panel|72|pending
1582|harbor|east|pump|34|held
1503|fulton|west|gasket|54|pending
1575|ember|west|cable|11|held
1143|dorian|south|frame|57|pending
1491|dorian|east|frame|60|pending
1682|dorian|north|pump|99|pending
1456|harbor|north|cable|76|paid
1515|acme|north|frame|48|held
1545|fulton|north|cable|69|shipped
1602|acme|south|frame|11|pending
1270|juno|south|frame|94|held
1208|juno|south|rotor|66|paid
1258|juno|south|pump|93|held
1641|juno|east|frame|26|held
1634|fulton|east|rotor|40|held
1463|cobalt|south|valve|14|pending
1264|dorian|south|gasket|90|pending
1596|fulton|south|cable|73|held
1904|dorian|north|valve|29|paid
1588|ionic|west|panel|53|held
1344|ember|west|panel|67|held
1383|gale|west|gasket|68|paid
1636|gale|west|panel|33|pending
1350|ionic|north|sensor|40|shipped
1810|birch|north|pump|82|paid
1786|ionic|south|valve|82|paid
1373|ember|south|valve|50|held
1231|ember|north|sensor|23|held
1671|acme|north|frame|64|shipped
1875|ember|south|rotor|61|paid
1213|harbor|east|rotor|28|held
1662|dorian|north|cable|41|pending
1390|birch|south|pump|67|held
1334|fulton|west|valve|60|held
1225|ember|west|gasket|99|pending
1354|birch|east|panel|34|shipped
1784|cobalt|north|frame|25|held
1941|fulton|north|valve|97|held
1915|ionic|north|valve|69|held
1220|dorian|east|valve|88|paid
1802|fulton|south|frame|65|held
1737|acme|north|sensor|66|shipped
1845|juno|west|gasket|74|held
1707|juno|north|gasket|33|pending
1185|dorian|south|gasket|43|shipped
1718|harbor|west|sensor|61|shipped
1300|harbor|east|gasket|94|paid
1445|acme|north|cable|36|held
1546|juno|west|sensor|33|shipped
1750|juno|south|valve|11|shipped
1497|cobalt|south|sensor|42|held
1907|dorian|south|frame|85|held
1291|fulton|south|panel|35|pending
1813|harbor|north|panel|97|shipped
1754|harbor|north|cable|96|paid
1574|fulton|east|frame|39|pending
1277|birch|south|panel|40|pending
1246|acme|north|cable|52|shipped
1539|fulton|south|cable|54|pending
1660|harbor|north|rotor|20|held
1771|ember|south|panel|19|paid
1179|dorian|south|pump|56|pending
1782|ember|south|frame|91|pending
1689|ember|south|pump|74|held
1823|birch|west|cable|34|paid
1798|fulton|east|panel|50|shipped
1554|birch|west|valve|58|paid
1622|ember|south|sensor|91|shipped
1239|gale|west|sensor|93|held
1864|ionic|west|gasket|29|pending
1792|ember|south|valve|34|paid
1668|harbor|north|sensor|13|shipped
1532|juno|south|gasket|90|pending
1212|acme|east|panel|11|held
1704|juno|east|cable|76|held
1612|harbor|east|frame|44|shipped
1295|harbor|south|rotor|35|paid
1731|gale|south|cable|54|held
1924|dorian|west|gasket|51|paid
1305|dorian|north|panel|54|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "restock", "args": {"item": "frame", "qty": 57}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 90}},
    {"tool": "restock", "args": {"item": "pump", "qty": 56}},
    {"tool": "cancel_order", "args": {"order_id": 1179}}
]

correctagentic.tools.deploy-v1conf 100% · 470ms · $0.000 · 109 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)
- notifier: auth-svc, gateway
- auth-svc: search
- search: 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "deploy", "args": {"service": "gateway"}},
    {"tool": "deploy", "args": {"service": "search"}},
    {"tool": "deploy", "args": {"service": "auth-svc"}},
    {"tool": "health_check", "args": {"service": "auth-svc"}},
    {"tool": "deploy", "args": {"service": "notifier"}}
]

wrongagentic.tools.ledger-v1conf 100% · 1.0s · $0.000 · 222 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: $503
- lima: $634
- echo: $464

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $205 from "delta" to "echo"
2. pay $554 from "delta" to "echo"
3. pay $526 from "delta" to "lima"
4. pay $519 from "delta" 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": "delta", "to": "echo", "amount": 205}},
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 149}},
    {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 554}},
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 526}},
    {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 526}},
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 519}},
    {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 519}}
]

correctagentic.tools.triage-v1conf 100% · 549ms · $0.000 · 242 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 4)
2. "API latency spikes" (category: infra, priority 7)
3. "refund double-charged" (category: payments, priority 3)
4. "export file corrupted" (category: data, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
    {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}},
    {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

wrongagentic.tools.context-load-v1conf 100% · 701ms · $0.001 · 167 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 (208 records, format: id|customer|region|item|qty|status):
```
1355|acme|south|frame|13|shipped
1756|ionic|west|rotor|41|paid
1265|acme|north|cable|13|shipped
1718|gale|west|sensor|60|shipped
1774|cobalt|south|pump|69|held
1396|acme|south|pump|89|shipped
1430|dorian|west|sensor|60|shipped
1593|ember|north|rotor|55|held
1772|fulton|east|frame|47|paid
1214|acme|south|pump|52|held
1534|ionic|south|valve|92|held
1508|ionic|north|sensor|51|held
1237|acme|east|panel|89|paid
1600|fulton|west|cable|35|held
1549|juno|south|valve|58|paid
1854|juno|west|valve|10|pending
1464|ember|south|sensor|52|held
1806|harbor|west|sensor|63|pending
1256|ionic|east|rotor|41|paid
1987|acme|south|rotor|18|shipped
1920|birch|north|sensor|25|paid
1277|fulton|west|gasket|27|pending
1906|dorian|west|valve|90|shipped
1696|cobalt|west|cable|47|held
1557|gale|south|pump|58|shipped
1386|birch|north|rotor|72|pending
1867|fulton|west|panel|60|paid
1273|ember|east|panel|69|paid
1714|birch|north|pump|18|held
1660|birch|south|panel|44|shipped
1313|birch|south|pump|68|held
1900|dorian|east|valve|84|held
1554|harbor|east|sensor|21|shipped
1781|juno|east|frame|91|paid
1363|fulton|south|frame|17|pending
1824|fulton|west|pump|48|pending
1860|ionic|west|rotor|13|shipped
1640|ember|north|gasket|10|pending
1523|dorian|west|panel|73|paid
1958|cobalt|west|cable|17|held
1429|harbor|west|frame|22|pending
1639|acme|north|cable|25|shipped
1599|cobalt|east|pump|93|shipped
1976|acme|west|frame|18|paid
1741|juno|north|gasket|42|pending
1494|birch|west|gasket|42|shipped
1489|juno|west|cable|60|shipped
1931|harbor|south|valve|63|shipped
1943|ember|south|frame|55|pending
1722|ember|north|valve|87|pending
1283|birch|west|sensor|59|paid
1804|ionic|west|cable|18|paid
1446|ember|north|sensor|14|held
1791|birch|north|gasket|39|shipped
1952|juno|east|sensor|96|paid
1312|birch|south|sensor|96|pending
1767|juno|north|valve|17|pending
1612|ember|north|valve|60|shipped
1808|harbor|east|sensor|17|shipped
1326|juno|south|cable|98|paid
1890|cobalt|west|rotor|61|held
1174|gale|west|pump|25|shipped
1233|ember|south|valve|33|pending
1624|ember|west|rotor|46|paid
1978|gale|east|cable|93|held
1197|dorian|east|valve|75|pending
1385|ember|north|gasket|84|paid
1276|ionic|east|rotor|88|held
1905|birch|west|panel|50|paid
1831|juno|north|cable|44|held
1666|gale|east|panel|32|held
1993|harbor|south|frame|14|paid
1797|dorian|south|sensor|29|held
1811|harbor|west|cable|20|pending
1910|juno|west|sensor|14|paid
1358|juno|west|cable|48|paid
1159|gale|west|frame|50|paid
1146|gale|west|pump|74|pending
1409|ember|south|panel|73|paid
1758|cobalt|north|valve|22|paid
1302|ionic|west|cable|70|paid
1499|fulton|north|frame|28|shipped
1878|dorian|south|sensor|53|held
1418|harbor|west|gasket|96|pending
1925|fulton|west|rotor|47|pending
1709|juno|east|frame|23|held
1403|gale|east|cable|43|pending
1541|dorian|south|pump|58|shipped
1153|gale|west|frame|48|paid
1260|harbor|east|pump|25|paid
1837|fulton|north|valve|61|paid
1999|ionic|north|frame|64|paid
1308|dorian|west|sensor|97|shipped
1281|fulton|west|gasket|32|held
1352|harbor|west|cable|32|shipped
1366|ionic|west|frame|14|pending
1441|gale|west|panel|92|held
1672|fulton|east|rotor|98|paid
1749|juno|west|rotor|13|pending
1269|dorian|south|frame|38|held
1220|fulton|east|panel|20|pending
1443|gale|north|cable|44|pending
1584|gale|south|pump|36|pending
1897|fulton|south|gasket|54|pending
1736|gale|west|panel|25|held
1561|dorian|east|rotor|60|held
1818|juno|west|sensor|26|held
1460|ember|west|valve|52|shipped
1731|ember|east|cable|27|pending
1455|harbor|west|valve|36|shipped
1215|juno|north|sensor|53|held
1964|fulton|north|sensor|80|pending
1687|ember|south|pump|39|pending
1748|gale|south|cable|15|shipped
1936|dorian|south|panel|68|held
1208|juno|east|sensor|87|pending
1238|fulton|east|cable|54|shipped
1219|cobalt|east|valve|76|shipped
1670|cobalt|north|panel|38|shipped
1969|gale|south|valve|94|pending
1646|gale|east|pump|25|shipped
1678|ionic|north|panel|64|pending
1738|harbor|east|sensor|78|paid
1411|dorian|south|sensor|27|pending
1934|dorian|south|frame|29|paid
1693|harbor|north|rotor|80|pending
1638|gale|east|valve|45|paid
1167|gale|east|panel|20|pending
1196|gale|west|rotor|27|held
1203|acme|north|rotor|16|pending
1320|juno|north|rotor|51|paid
1568|cobalt|south|panel|70|held
1251|birch|east|rotor|92|held
1719|dorian|west|gasket|69|pending
1761|harbor|west|panel|49|pending
1545|dorian|north|frame|37|shipped
1184|gale|west|rotor|41|paid
1476|birch|south|frame|99|paid
1606|dorian|east|valve|80|pending
1332|gale|north|cable|32|shipped
1916|ionic|east|valve|40|pending
1180|gale|west|gasket|13|pending
1844|dorian|west|panel|45|shipped
1470|fulton|west|sensor|59|held
1481|juno|west|frame|82|paid
1372|gale|west|frame|63|paid
1445|acme|west|valve|47|paid
1589|acme|east|pump|26|held
1855|harbor|west|rotor|72|paid
1392|gale|south|pump|90|paid
1848|harbor|east|sensor|37|held
1380|harbor|south|panel|33|held
1158|gale|east|cable|84|pending
1250|gale|west|sensor|88|held
1519|cobalt|west|frame|46|pending
1211|harbor|north|frame|19|shipped
1653|acme|west|gasket|38|shipped
1980|juno|west|pump|37|paid
1725|juno|north|valve|97|shipped
1616|juno|north|frame|32|held
1437|fulton|north|sensor|39|shipped
1578|acme|south|cable|30|shipped
1885|birch|north|valve|90|held
1819|dorian|east|sensor|42|paid
1542|gale|south|frame|92|pending
1290|acme|north|cable|59|pending
1930|ember|north|panel|30|shipped
1183|gale|south|panel|76|pending
1379|acme|east|panel|71|pending
1344|gale|north|sensor|88|pending
1945|dorian|north|gasket|16|shipped
1631|harbor|south|sensor|68|pending
1424|juno|east|frame|73|pending
1733|acme|north|valve|80|shipped
1449|harbor|south|sensor|67|pending
1503|ember|east|rotor|38|shipped
1834|cobalt|south|cable|33|pending
1151|gale|north|frame|19|pending
1244|juno|north|sensor|64|paid
1226|cobalt|south|sensor|30|held
1703|cobalt|west|gasket|54|pending
1297|birch|east|frame|77|shipped
1569|harbor|east|cable|70|held
1154|gale|west|rotor|27|pending
1973|juno|east|sensor|60|held
1486|harbor|west|valve|85|paid
1710|gale|west|pump|89|held
1571|acme|north|cable|75|held
1339|harbor|east|gasket|55|held
1199|dorian|east|sensor|35|shipped
1785|ember|south|panel|71|held
1683|acme|north|cable|38|paid
1191|gale|west|cable|98|pending
1592|juno|south|pump|89|paid
1871|cobalt|south|gasket|34|shipped
1310|ionic|north|frame|98|paid
1776|acme|east|pump|60|pending
1194|gale|south|cable|78|pending
1166|gale|west|cable|31|pending
1924|fulton|south|panel|14|pending
1247|juno|east|frame|29|pending
1299|juno|north|valve|20|pending
1513|ember|east|panel|33|held
1727|gale|east|sensor|70|paid
1529|birch|north|valve|70|shipped
1619|dorian|south|panel|84|shipped
1746|ember|south|gasket|17|held
1351|birch|north|frame|76|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "cancel_order", "args": {"order_id": 1146}},
  {"tool": "cancel_order", "args": {"order_id": 1154}},
  {"tool": "cancel_order", "args": {"order_id": 1166}},
  {"tool": "cancel_order", "args": {"order_id": 1180}},
  {"tool": "cancel_order", "args": {"order_id": 1191}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 74}},
  {"tool": "cancel_order", "args": {"order_id": 1584}}
]

wrongagentic.tools.ledger-v1conf 100% · 719ms · $0.000 · 164 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: $805
- oscar: $514
- echo: $240

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $138 from "echo" to "oscar"
2. pay $90 from "echo" to "oscar"
3. pay $86 from "echo" to "oscar"
4. pay $140 from "delta" 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": "echo", "to": "oscar", "amount": 138}},
    {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 90}},
    {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 46}},
    {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 86}},
    {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 140}}
]

correctagentic.tools.deploy-v1conf 100% · 579ms · $0.000 · 106 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "deploy", "args": {"service": "gateway"}},
    {"tool": "deploy", "args": {"service": "search"}},
    {"tool": "deploy", "args": {"service": "billing"}},
    {"tool": "deploy", "args": {"service": "reports"}},
    {"tool": "health_check", "args": {"service": "reports"}}
]

correctagentic.tools.triage-v1conf 100% · 411ms · $0.000 · 213 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 6)
2. "webhooks not delivered" (category: infra, priority 6)
3. "dashboard shows stale numbers" (category: data, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
    {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}}
]

wrongagentic.tools.ledger-v1conf 100% · 550ms · $0.000 · 254 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $592
- alpha: $865
- delta: $469

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $90 from "delta" to "kilo"
2. pay $333 from "alpha" to "delta"
3. pay $354 from "kilo" to "delta"
4. pay $303 from "kilo" to "alpha"
5. pay $469 from "alpha" 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": "delta", "to": "kilo", "amount": 90}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 168}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 333}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 354}},
  {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 149}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 303}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 115}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 469}}
]

correctagentic.tools.deploy-v1conf 100% · 479ms · $0.000 · 107 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "deploy", "args": {"service": "search"}},
    {"tool": "deploy", "args": {"service": "billing"}},
    {"tool": "health_check", "args": {"service": "billing"}},
    {"tool": "deploy", "args": {"service": "auth-svc"}},
    {"tool": "deploy", "args": {"service": "reports"}}
]

correctagentic.tools.triage-v1conf 100% · 741ms · $0.000 · 269 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 → tanaka
- infra → dubois
- auth → silva

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 2)
2. "dashboard shows stale numbers" (category: data, priority 2)
3. "locked out after 2FA change" (category: auth, priority 3)
4. "export file corrupted" (category: data, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
    {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
    {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 3}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}},
    {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-4"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "tanaka"}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 792ms · $0.001 · 220 tok

model answer:

[
    {"tool": "restock", "args": {"item": "frame", "qty": 58}},
    {"tool": "restock", "args": {"item": "rotor", "qty": 63}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 60}},
    {"tool": "restock", "args": {"item": "panel", "args": {"item": "panel", "qty": 78}}},
    {"tool": "cancel_order", "args": {"order_id": 1368}},
    {"tool": "restock", "args": {"item": "rotor", "qty": 75}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 89}},
    {"tool": "restock", "args": {"item": "cable", "qty": 28}}
]

wrongagentic.tools.deploy-v1anchorconf 100% · 486ms · $0.000 · 91 tok

model answer:

[
    {"tool": "deploy", "args": {"service": "notifier"}},
    {"tool": "deploy", "args": {"service": "auth-svc"}},
    {"tool": "deploy", "args": {"service": "gateway"}},
    {"tool": "health_check", "args": {"service": "gateway"}}
]

correctagentic.tools.triage-v1anchorconf 100% · 593ms · $0.000 · 266 tok

model answer:

[
    {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
    {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

wrongagentic.tools.ledger-v1anchorconf 100% · 599ms · $0.000 · 228 tok

model answer:

[
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
    {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
    {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 223}},
    {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
    {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]

code 8/30 correct

truncatedcode.trace.python-v1conf — · 522ms · $0.008 · 8192 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 1
while total + v <= 74:
    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: (none extracted)

correctcode.trace.nested-v1conf 100% · 590ms · $0.001 · 890 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 81

wrongcode.trace.js-v1conf 100% · 445ms · $0.000 · 178 tok

question

What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14];
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: 318

wrongcode.trace.python-v1conf 100% · 463ms · $0.000 · 86 tok

question

What does this Python program print?

```python
total = 0
v = 1
while total + v <= 70:
    if v % 4 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 54

wrongcode.trace.js-v1conf 100% · 1.0s · $0.000 · 189 tok

question

Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 100

wrongcode.trace.nested-v1conf 100% · 487ms · $0.001 · 812 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 147

truncatedcode.trace.python-v1conf — · 723ms · $0.008 · 8192 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 4
while total + v <= 62:
    if v % 6 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.js-v1conf 100% · 26.3s · $0.000 · 102 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 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% · 564ms · $0.000 · 202 tok

question

What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 108

wrongcode.trace.nested-v1conf 100% · 429ms · $0.001 · 641 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 110

wrongcode.trace.nested-v1conf 100% · 24.1s · $0.001 · 1234 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 180

wrongcode.trace.python-v1conf 100% · 519ms · $0.000 · 183 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 8
while total + v <= 44:
    if v % 5 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 80

wrongcode.trace.python-v1conf 100% · 421ms · $0.000 · 287 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 40:
    if v % 5 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 270

wrongcode.trace.nested-v1conf 100% · 718ms · $0.001 · 1279 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 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: 669

wrongcode.trace.js-v1conf 100% · 480ms · $0.000 · 92 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 6)
  .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: 660

wrongcode.trace.python-v1conf 100% · 537ms · $0.000 · 188 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 11
while total + v <= 52:
    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: 92

correctcode.trace.nested-v1conf 100% · 720ms · $0.001 · 681 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 70

correctcode.trace.js-v1conf 100% · 451ms · $0.000 · 177 tok

question

What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 264

wrongcode.trace.nested-v1conf 100% · 503ms · $0.001 · 1299 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 == 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: 216

correctcode.trace.js-v1conf 100% · 541ms · $0.000 · 116 tok

question

Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 40

correctcode.trace.python-v1conf 100% · 312ms · $0.001 · 528 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 6
while total + v <= 100:
    if v % 6 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 99

wrongcode.trace.nested-v1conf 100% · 518ms · $0.001 · 1229 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 238

correctcode.trace.js-v1conf 100% · 331ms · $0.000 · 150 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 420

correctcode.trace.nested-v1conf 100% · 303ms · $0.001 · 793 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 56

wrongcode.trace.python-v1conf 100% · 595ms · $0.000 · 215 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 5
while total + v <= 75:
    if v % 6 != 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: 315

correctcode.trace.js-v1conf 100% · 622ms · $0.000 · 172 tok

question

What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 210

wrongcode.trace.python-v1anchorconf 100% · 597ms · $0.000 · 272 tok

model answer: 222

wrongcode.trace.js-v1anchorconf 100% · 567ms · $0.000 · 137 tok

model answer: 210

wrongcode.trace.python-v1anchorconf 100% · 492ms · $0.000 · 216 tok

model answer: 282

wrongcode.trace.nested-v1anchorconf 100% · 529ms · $0.000 · 167 tok

model answer: 110

instruction following 14/30 correct

wrongif.format.acronym-v1conf 100% · 1.3s · $0.000 · 95 tok

question

Take the third letter of each of these words, in order: comet, ember, nova, basalt, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: MMVAB

correctif.format.repeat-v1conf 100% · 1.4s · $0.000 · 31 tok

question

Write the word "prism" 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: prism_prism_prism_prism

wrongif.constraints.stack-v1conf — · 432ms · $0.000 · 35 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "ember" and the last word must be "orbit".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.constraints.stack-v1conf 100% · 29.3s · $0.000 · 108 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "tundra" and the last word must be "comet".
3. Use the word "basalt" 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:

tundra's ancient machine, forged from basalt, hums softly, its gears of basalt turning. beneath the comet, it stands, a relic of basalt, silent, waiting for the comet's return.

wrongif.constraints.stack-v1conf 100% · 3.0s · $0.000 · 67 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "ember" and the last word must be "nova".
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: ember glows, falcon soars above the sea, falcon dives, falcon rises, waves crash, nova.

correctif.format.acronym-v1conf 100% · 718ms · $0.000 · 94 tok

question

Take the second letter of each of these words, in order: falcon, delta, lumen, flint, 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: AEULO

correctif.format.repeat-v1conf 100% · 2.6s · $0.000 · 44 tok

question

Write the word "comet" in uppercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: COMET-COMET-COMET-COMET-COMET

OpenRouterError: OpenRouter /chat/completions failed after 6 attempt(s) (status 429)if.format.acronym-v1conf — · — · — · — tok

question

Take the third letter of each of these words, in order: tundra, quartz, echo, zephyr, cedar, 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: (none extracted)

correctif.format.repeat-v1conf 100% · 1.3s · $0.000 · 34 tok

question

Write the word "delta" in lowercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: delta_delta_delta_delta_delta

wrongif.constraints.stack-v1conf 100% · 515ms · $0.000 · 62 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "prism" and the last word must be "lumen".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: prismatic lights dance on quartz streets, casting shadows in quartz alleys, a symphony of neon lumen.

correctif.format.acronym-v1conf 100% · 516ms · $0.000 · 83 tok

question

Take the first letter of each of these words, in order: ember, echo, tundra, orbit, prism, 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: EETOPN

correctif.format.repeat-v1conf 100% · 532ms · $0.000 · 69 tok

question

Write the word "cedar" in uppercase form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR

wrongif.format.acronym-v1conf 100% · 360ms · $0.000 · 97 tok

question

Take the third letter of each of these words, in order: cedar, nova, flint, drift, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: DVNRA

wrongif.constraints.stack-v1conf 100% · 425ms · $0.000 · 77 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "lumen" and the last word must be "tundra".
3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

lumen beneath the waves, where zephyr whispers secrets, the sea's vast expanse. zephyr dances on the surface, connecting ocean to tundra.

correctif.format.repeat-v1conf 100% · 509ms · $0.000 · 69 tok

question

Write the word "delta" in capitalized form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: DELTA_DELTA_DELTA_DELTA_DELTA_DELTA_DELTA_DELTA_DELTA

wrongif.constraints.stack-v1conf 100% · 479ms · $0.000 · 59 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "lumen" and the last word must be "nova".
3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: lumen flickers, an ember in the old machine's heart, glowing with ancient ember, a nova.

wrongif.format.acronym-v1conf 100% · 287ms · $0.000 · 126 tok

question

Take the third letter of each of these words, in order: lumen, drift, echo, basalt, flint, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: MICAID

correctif.format.repeat-v1conf 100% · 385ms · $0.000 · 46 tok

question

Write the word "lumen" 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: LUMEN/LUMEN/LUMEN/LUMEN/LUMEN

wrongif.constraints.stack-v1conf — · 491ms · $0.000 · 33 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "falcon" and the last word must be "quartz".
3. Use the word "orbit" 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)

wrongif.format.acronym-v1conf 100% · 516ms · $0.000 · 87 tok

question

Take the third letter of each of these words, in order: echo, orbit, quartz, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: CRRS

correctif.format.repeat-v1conf 100% · 527ms · $0.000 · 33 tok

question

Write the word "basalt" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: BASALT/BASALT/BASALT

wrongif.format.acronym-v1conf 100% · 535ms · $0.000 · 96 tok

question

Take the third letter of each of these words, in order: falcon, orbit, lumen, prism, 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: LBMSC

wrongif.constraints.stack-v1conf 100% · 469ms · $0.000 · 67 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "lumen" and the last word must be "drift".
3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: lumen glows through quartz, guiding the path. quartz crystals mark the way, reflecting the lumen's light. stars drift.

correctif.format.repeat-v1conf 100% · 560ms · $0.000 · 26 tok

question

Write the word "ember" in lowercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ember_ember_ember

wrongif.constraints.stack-v1conf 100% · 512ms · $0.000 · 59 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "lumen" and the last word must be "drift".
3. Use the word "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: lumen beneath the nova, waves dance with nova's glow, stars nova in the night, tides drift.

correctif.format.acronym-v1conf 100% · 466ms · $0.000 · 81 tok

question

Take the first letter of each of these words, in order: drift, nova, lumen, ember, delta, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: DNLEDZ

correctif.format.repeat-v1anchorconf 100% · 493ms · $0.000 · 48 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

wrongif.constraints.stack-v1anchorconf — · 529ms · $0.000 · 26 tok

model answer: (none extracted)

correctif.format.acronym-v1anchorconf 100% · 521ms · $0.000 · 87 tok

model answer: ZDFQ

correctif.format.repeat-v1anchorconf 100% · 372ms · $0.000 · 75 tok

model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR

knowledge 29/30 correct

correctknowledge.fr.factbank-v2conf 100% · 417ms · $0.000 · 17 tok

question

What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mercury

correctknowledge.fr.factbank-v2conf 95% · 276ms · $0.000 · 20 tok

question

What is the Burmese capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 530ms · $0.000 · 18 tok

question

Name the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 253ms · $0.000 · 17 tok

question

Identify the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 527ms · $0.000 · 18 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% · 426ms · $0.000 · 18 tok

question

What is 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% · 461ms · $0.000 · 17 tok

question

Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 459ms · $0.000 · 17 tok

question

Identify the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 407ms · $0.000 · 18 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% · 475ms · $0.000 · 17 tok

question

What is the capital of Switzerland?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 427ms · $0.000 · 18 tok

question

Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 441ms · $0.000 · 17 tok

question

Name the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

wrongknowledge.fr.factbank-v2conf 95% · 525ms · $0.000 · 18 tok

question

Identify the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Kawabata

correctknowledge.fr.factbank-v2conf 95% · 415ms · $0.000 · 21 tok

question

Identify the writer of the novel "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Yasunari Kawabata

correctknowledge.fr.factbank-v2conf 100% · 434ms · $0.000 · 18 tok

question

Name the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 416ms · $0.000 · 18 tok

question

Identify the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 554ms · $0.000 · 19 tok

question

Identify the element whose symbol is Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Antimony

correctknowledge.fr.factbank-v2conf 100% · 343ms · $0.000 · 19 tok

question

Name the element whose symbol is Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Antimony

correctknowledge.fr.factbank-v2conf 100% · 464ms · $0.000 · 19 tok

question

Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 453ms · $0.000 · 17 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% · 639ms · $0.000 · 18 tok

question

What is the Nigerian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 357ms · $0.000 · 17 tok

question

What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 468ms · $0.000 · 18 tok

question

What is the element whose symbol is W?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 560ms · $0.000 · 17 tok

question

What is the capital of Switzerland?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 607ms · $0.000 · 19 tok

question

Identify the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Antimony

correctknowledge.fr.factbank-v2conf 100% · 358ms · $0.000 · 18 tok

question

What is the Brazilian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Brasília

correctknowledge.fr.factbank-v2anchorconf 100% · 486ms · $0.000 · 17 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 269ms · $0.000 · 18 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 534ms · $0.000 · 17 tok

model answer: Lead

correctknowledge.fr.factbank-v2anchorconf 100% · 454ms · $0.000 · 19 tok

model answer: Antimony

math 22/30 correct

correctmath.chained.pipeline-v1conf 100% · 587ms · $0.000 · 140 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 25 × 51.
Step 2: Q = P × 9 − 641.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1356

correctmath.counterfactual.base-v1conf 100% · 532ms · $0.000 · 294 tok

question

Work strictly in base 8. Add the base-8 numbers 3333 and 536. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 4071

wrongmath.percent.chain-v2conf 100% · 566ms · $0.000 · 373 tok

question

An inventory starts at 33000 units. Each pallet weighs about 24 grams more when wet. In the first month the inventory grows by 41%. A rival firm shipped 176 unrelated parcels the same week. The next month it shrinks by 5%, and the month after it grows by 18%. 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: 52,154.93

correctmath.algebra.system-v2conf 100% · 443ms · $0.001 · 435 tok

question

Solve the system, then answer the derived question.

7x + 3y = -391
3x − 7y = 139

What is the value of 2x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 31

correctmath.arith.chain-v2conf 100% · 2.2s · $0.000 · 263 tok

question

Work out the exact value of this expression.

(((35 × 40 − 387) × 7 + 2410) − 75 × 74) × 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: 7902

correctmath.chained.pipeline-v1conf 100% · 2.7s · $0.000 · 194 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 41 × 38.
Step 2: Q = P × 9 − 976.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 3263

OpenRouterError: OpenRouter /chat/completions failed after 6 attempt(s) (status 429)math.percent.chain-v2conf — · — · — · — tok

question

An inventory starts at 13000 units. A rival firm shipped 152 unrelated parcels the same week. In the first month the inventory grows by 21%. The delivery van has a 141-liter fuel tank. The next month it shrinks by 10%, and the month after it grows by 24%. 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: (none extracted)

correctmath.counterfactual.base-v1conf 100% · 12.1s · $0.000 · 376 tok

question

Work strictly in base 13. Multiply the base-13 numbers 63 and 31. 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: 1623

correctmath.algebra.system-v2conf 100% · 1.3s · $0.000 · 394 tok

question

Solve the system, then answer the derived question.

7x + 4y = 310
6x − 9y = 42

What is the value of 4x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 28

correctmath.arith.chain-v2conf 100% · 274ms · $0.000 · 289 tok

question

Compute the value of the following expression.

(((58 × 80 − 312) × 9 + 8738) − 50 × 86) × 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: 86780

wrongmath.counterfactual.base-v1conf 100% · 684ms · $0.000 · 292 tok

question

Work strictly in base 7. Add the base-7 numbers 3543 and 11412. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 15555

correctmath.chained.pipeline-v1conf 100% · 438ms · $0.000 · 177 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 47 × 38.
Step 2: Q = P × 5 − 179.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 2190

correctmath.algebra.system-v2conf 100% · 553ms · $0.000 · 281 tok

question

Solve the system, then answer the derived question.

8x + 4y = 152
6x − 4y = 366

What is the value of 2x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 182

correctmath.percent.chain-v2conf 100% · 434ms · $0.000 · 253 tok

question

An inventory starts at 5000 units. The warehouse was painted 136 years ago. In the first month the inventory grows by 15%. A rival firm shipped 114 unrelated parcels the same week. The next month it shrinks by 8%, and the month after it grows by 20%. 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: 6348

correctmath.arith.chain-v2conf 100% · 449ms · $0.000 · 268 tok

question

Calculate the following. Show your reasoning, then answer.

(((90 × 72 − 686) × 4 + 2814) − 68 × 35) × 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: 47220

correctmath.chained.pipeline-v1conf 100% · 527ms · $0.000 · 194 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 34 × 66.
Step 2: Q = P × 7 − 891.
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: 2965

wrongmath.counterfactual.base-v1conf 100% · 409ms · $0.000 · 311 tok

question

Work strictly in base 13. Add the base-13 numbers 1AA and 56A. 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: 713

correctmath.algebra.system-v2conf 100% · 558ms · $0.000 · 257 tok

question

Solve the system, then answer the derived question.

7x + 2y = 15
9x − 2y = 161

What is the value of 3x − 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: 126

correctmath.percent.chain-v2conf 100% · 384ms · $0.000 · 271 tok

question

An inventory starts at 4000 units. Each pallet weighs about 18 grams more when wet. In the first month the inventory grows by 14%. The delivery van has a 60-liter fuel tank. The next month it shrinks by 30%, and the month after it grows by 35%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 4309.2

correctmath.arith.chain-v2conf 100% · 534ms · $0.000 · 283 tok

question

Compute the value of the following expression.

(((29 × 74 − 282) × 3 + 6538) − 52 × 61) × 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: 44790

wrongmath.counterfactual.base-v1conf 100% · 344ms · $0.000 · 352 tok

question

Work strictly in base 13. Add the base-13 numbers 11AA and 1423. 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: 311C

correctmath.chained.pipeline-v1conf 100% · 471ms · $0.000 · 184 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 79 × 61.
Step 2: Q = P × 4 − 451.
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: 2691

wrongmath.percent.chain-v2conf 100% · 458ms · $0.000 · 330 tok

question

An inventory starts at 27000 units. Each pallet weighs about 180 grams more when wet. In the first month the inventory grows by 27%. Each pallet weighs about 112 grams more when wet. The next month it shrinks by 12%, and the month after it grows by 39%. 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: 41,949.13

correctmath.algebra.system-v2conf 100% · 498ms · $0.000 · 398 tok

question

Solve the system, then answer the derived question.

4x + 9y = 62
5x − 3y = -122

What is the value of 6x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -152

correctmath.arith.chain-v2conf 100% · 423ms · $0.000 · 276 tok

question

Work out the exact value of this expression.

(((29 × 60 − 877) × 4 + 5379) − 39 × 39) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 51170

correctmath.counterfactual.base-v1anchorconf 100% · 683ms · $0.001 · 449 tok

model answer: 11236

correctmath.chained.pipeline-v1conf 100% · 445ms · $0.000 · 124 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 78 × 41.
Step 2: Q = P × 5 − 209.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1977

wrongmath.percent.chain-v2anchorconf 100% · 458ms · $0.000 · 321 tok

model answer: 61,796.52

correctmath.arith.chain-v2anchorconf 100% · 901ms · $0.000 · 288 tok

model answer: 108153

wrongmath.algebra.system-v2anchorconf 100% · 456ms · $0.000 · 383 tok

model answer: -10.71428571428571

multilingual 23/30 correct

wrongmultilingual.numword-v2conf 100% · 27.4s · $0.000 · 23 tok

question

Compute 53 + 269, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: trois cent deux

correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.000 · 118 tok

question

A number is written in French: « cinq cent soixante-dix-huit ». Another is written in Spanish: « trescientos noventa y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 977

correctmultilingual.wordnum-v1conf 100% · 540ms · $0.000 · 118 tok

question

A number is written in French: « deux cent soixante et un ». Another is written in Spanish: « 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: 163

correctmultilingual.numword-v2conf 100% · 609ms · $0.000 · 32 tok

question

Compute 77 + 205, 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-deux

correctmultilingual.numword-v2conf 100% · 584ms · $0.000 · 37 tok

question

Compute 233 + 287, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cinq cent vingt

correctmultilingual.wordnum-v1conf 100% · 28.3s · $0.000 · 120 tok

question

A number is written in French: « cinq cent cinquante-trois ». Another is written in Spanish: « doscientos veinte ». 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: 333

correctmultilingual.wordnum-v1conf 100% · 3.1s · $0.000 · 124 tok

question

A number is written in French: « soixante-six ». Another is written in Spanish: « cuatrocientos veintitrés ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -357

correctmultilingual.numword-v2conf 100% · 13.1s · $0.000 · 28 tok

question

Compute 418 + 209, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: six cent vingt-sept

correctmultilingual.wordnum-v1conf 100% · 1.0s · $0.000 · 113 tok

question

A number is written in French: « cent dix-huit ». Another is written in Spanish: « trescientos setenta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -253

correctmultilingual.numword-v2conf 100% · 510ms · $0.000 · 29 tok

question

Compute 71 + 367, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cuatrocientos treinta y ocho

correctmultilingual.wordnum-v1conf 100% · 480ms · $0.000 · 126 tok

question

A number is written in French: « neuf cent quatorze ». Another is written in Spanish: « setenta 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: 838

correctmultilingual.wordnum-v1conf 100% · 542ms · $0.000 · 132 tok

question

A number is written in French: « sept cent cinquante-quatre ». Another is written in Spanish: « quinientos veintinueve ». 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: 1283

wrongmultilingual.numword-v2conf 100% · 494ms · $0.000 · 27 tok

question

Compute 298 + 291, 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: cinco noventa y nueve

correctmultilingual.wordnum-v1conf 100% · 534ms · $0.000 · 130 tok

question

A number is written in French: « sept cent vingt-six ». Another is written in Spanish: « trescientos sesenta ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1086

wrongmultilingual.numword-v2conf 100% · 562ms · $0.000 · 22 tok

question

Compute 124 + 91, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cent vingt-cinq

correctmultilingual.wordnum-v1conf 100% · 425ms · $0.000 · 132 tok

question

A number is written in French: « deux cent quarante et un ». Another is written in Spanish: « novecientos 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: 1143

wrongmultilingual.numword-v2conf 100% · 505ms · $0.000 · 35 tok

question

Compute 182 + 430, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: six cent quatorze

correctmultilingual.wordnum-v1conf 100% · 469ms · $0.000 · 104 tok

question

A number is written in French: « sept cent quatre-vingt-six ». Another is written in Spanish: « ciento 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: 959

correctmultilingual.numword-v2conf 100% · 428ms · $0.000 · 31 tok

question

Compute 323 + 147, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: quatre cent soixante-dix

correctmultilingual.wordnum-v1conf 100% · 406ms · $0.000 · 134 tok

question

A number is written in French: « quatre cent quarante-six ». Another is written in Spanish: « setecientos sesenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1215

correctmultilingual.numword-v2conf 100% · 261ms · $0.000 · 38 tok

question

Compute 284 + 443, 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: sept cent vingt-sept

correctmultilingual.wordnum-v1conf 100% · 524ms · $0.000 · 105 tok

question

A number is written in French: « deux cent soixante et onze ». 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: 969

wrongmultilingual.numword-v2conf 100% · 430ms · $0.000 · 25 tok

question

Compute 152 + 455, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ciento cincuenta y siete

correctmultilingual.wordnum-v1conf 100% · 402ms · $0.000 · 135 tok

question

A number is written in French: « huit cent cinquante et un ». Another is written in Spanish: « novecientos ochenta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1832

wrongmultilingual.numword-v2conf 100% · 560ms · $0.000 · 28 tok

question

Compute 443 + 460, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ochocientos tres

correctmultilingual.wordnum-v1anchorconf 100% · 450ms · $0.000 · 122 tok

model answer: 150

correctmultilingual.numword-v2conf 100% · 529ms · $0.000 · 34 tok

question

Compute 452 + 167, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: seiscientos diecinueve

correctmultilingual.wordnum-v1anchorconf 100% · 452ms · $0.000 · 103 tok

model answer: 762

wrongmultilingual.numword-v2anchorconf 100% · 542ms · $0.000 · 31 tok

model answer: quatre cent quatre-vingt-neuf

correctmultilingual.numword-v2anchorconf 100% · 351ms · $0.000 · 48 tok

model answer: seiscientos ocho

reasoning 24/30 correct

correctreasoning.deduction.position-v1conf 100% · 14.0s · $0.000 · 166 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Emil. Nadir is directly ahead of Hana. Kira is number 4 in the queue. Emil 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: Emil

correctreasoning.deduction.order-v2conf 100% · 3.0s · $0.000 · 173 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Liam. Kira is faster than Liam. Farah is faster than Ines. Kira is faster than Mona. Tessa is taller than everyone here, but Tessa is not being ranked. Mona is faster than Farah. Mona is faster than Priya. Priya is faster than Farah. Liam is faster than Sami. Sami is faster than Priya. 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: Mona

correctreasoning.deduction.position-v1conf 100% · 389ms · $0.000 · 165 tok

question

Four people stand in a queue (number 1 is the front). Dara is directly ahead of Emil. Quinn is number 4 in the queue. Jonas is directly ahead of Quinn. Emil is directly ahead of Jonas. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Emil

correctreasoning.deduction.order-v2conf 100% · 715ms · $0.000 · 246 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Bruno. Jonas is faster than everyone here, but Jonas is not being ranked. Priya is older than Goran. Priya is older than Farah. Bruno is older than Chen. Priya is older than Goran. Farah is older than Goran. Goran is older than Chen. Bruno is older than Priya. Quinn is older than Hana. 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

wrongreasoning.deduction.order-v2conf 100% · 434ms · $0.001 · 427 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Liam is older than Ola. Mona is heavier than everyone here, but Mona is not being ranked. Alice is older than Bruno. Emil is older than Ola. Quinn is older than Tessa. Emil is older than Liam. Alice is older than Quinn. Emil is older than Ola. Tessa is older than Bruno. Bruno is older than Emil. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Emil

correctreasoning.deduction.position-v1conf 100% · 576ms · $0.000 · 188 tok

question

Four people stand in a queue (number 1 is the front). Chen is number 2 in the queue. Kira is directly ahead of Hana. Emil is directly ahead of Chen. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Kira

correctreasoning.deduction.position-v1conf 100% · 523ms · $0.000 · 79 tok

question

Four people stand in a queue (number 1 is the front). Ines is directly ahead of Tessa. Tessa is number 2 in the queue. Quinn 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: Quinn

correctreasoning.deduction.order-v2conf 100% · 563ms · $0.000 · 149 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Liam. Liam is heavier than Hana. Farah is faster than everyone here, but Farah is not being ranked. Liam is heavier than Alice. Hana is heavier than Rosa. Goran is heavier than Hana. Goran is heavier than Kira. Goran is heavier than Rosa. Mona is heavier than Goran. Alice is heavier than Hana. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Goran

wrongreasoning.deduction.order-v2conf 100% · 688ms · $0.000 · 224 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Bruno. Kira is heavier than Bruno. Tessa is heavier than Bruno. Tessa is heavier than Emil. Chen is faster than everyone here, but Chen is not being ranked. Nadir is heavier than Tessa. Goran is heavier than Nadir. Kira is heavier than Alice. Tessa is heavier than Bruno. Alice is heavier than Goran. 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: Tessa

correctreasoning.deduction.position-v1conf 100% · 427ms · $0.000 · 88 tok

question

Four people stand in a queue (number 1 is the front). Farah is number 1 in the queue. Ola is directly ahead of Quinn. Dara is directly ahead of Ola. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Dara

wrongreasoning.deduction.order-v2conf 100% · 419ms · $0.000 · 241 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Alice. Ines is heavier than everyone here, but Ines is not being ranked. Nadir is taller than Bruno. Tessa is taller than Ola. Goran is taller than Ola. Tessa is taller than Mona. Ola is taller than Bruno. Alice is taller than Nadir. Mona is taller than Goran. Goran is taller than Alice. 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: Mona

wrongreasoning.deduction.position-v1conf 100% · 484ms · $0.000 · 125 tok

question

Four people stand in a queue (number 1 is the front). Chen is number 3 in the queue. Emil is directly ahead of Chen. Bruno is directly ahead of Emil. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Emil

wrongreasoning.deduction.position-v1conf 100% · 448ms · $0.000 · 251 tok

question

Four people stand in a queue (number 1 is the front). Chen is directly ahead of Ines. Emil is directly ahead of Liam. Ines is directly ahead of Emil. 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: Ines

wrongreasoning.deduction.order-v2conf 100% · 367ms · $0.000 · 224 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Rosa is faster than Hana. Rosa is faster than Ola. Emil is faster than Rosa. Emil is faster than Hana. Jonas is faster than Rosa. Farah is faster than Quinn. Jonas is faster than Emil. Quinn is faster than Jonas. Ola is faster than Hana. Priya is taller than everyone here, but Priya 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: Ola

correctreasoning.deduction.order-v2conf 100% · 458ms · $0.000 · 261 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Quinn is faster than Hana. Chen is faster than Priya. Rosa is faster than Ines. Chen is faster than Goran. Jonas is heavier than everyone here, but Jonas is not being ranked. Priya is faster than Hana. Ines is faster than Priya. Chen is faster than Rosa. Goran is faster than Rosa. Priya is faster than Quinn. 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

correctreasoning.deduction.position-v1conf 100% · 619ms · $0.000 · 76 tok

question

Four people stand in a queue (number 1 is the front). Quinn is number 2 in the queue. Hana is directly ahead of Quinn. Sami is directly ahead of Ines. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Hana

correctreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 77 tok

question

Four people stand in a queue (number 1 is the front). Mona is number 3 in the queue. Emil is directly ahead of Priya. Priya is directly ahead of Mona. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mona

correctreasoning.deduction.order-v2conf 100% · 439ms · $0.000 · 241 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Mona. Sami is taller than Rosa. Nadir is taller than Jonas. Liam is taller than Jonas. Ola is heavier than everyone here, but Ola is not being ranked. Liam is taller than Rosa. Mona is taller than Nadir. Farah is taller than Jonas. Sami is taller than Farah. Farah is taller than Liam. 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.order-v2conf 100% · 425ms · $0.000 · 315 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Priya is older than Jonas. Chen is older than Goran. Rosa is older than Mona. Hana is older than Mona. Priya is older than Rosa. Hana is older than Jonas. Jonas is older than Chen. Goran is older than Rosa. Hana is older than Priya. Quinn is heavier than everyone here, but Quinn is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Rosa

correctreasoning.deduction.position-v1conf 100% · 567ms · $0.000 · 74 tok

question

Four people stand in a queue (number 1 is the front). Emil is directly ahead of Ola. Ines is directly ahead of Emil. Dara is number 1 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Dara

correctreasoning.deduction.order-v2conf 100% · 613ms · $0.000 · 228 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Alice. Hana is older than Ines. Kira is older than Tessa. Ines is older than Chen. Priya is faster than everyone here, but Priya is not being ranked. Alice is older than Chen. Tessa is older than Hana. Hana is older than Ines. Alice is older than Ines. Sami is older than Kira. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Alice

correctreasoning.deduction.position-v1conf 100% · 505ms · $0.000 · 102 tok

question

Four people stand in a queue (number 1 is the front). Hana is number 3 in the queue. Liam is directly ahead of Hana. Nadir is directly ahead of Liam. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Liam

correctreasoning.deduction.order-v2conf 100% · 573ms · $0.000 · 269 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Jonas is taller than Kira. Emil is taller than Jonas. Rosa is taller than Chen. Rosa is taller than Emil. Chen is taller than Bruno. Alice is taller than Rosa. Goran is heavier than everyone here, but Goran is not being ranked. Alice is taller than Emil. Emil is taller than Kira. Kira is taller than Chen. 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: Kira

correctreasoning.deduction.position-v1conf 100% · 641ms · $0.000 · 101 tok

question

Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Emil. Ines is directly ahead of Bruno. Emil 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: Ines

correctreasoning.deduction.order-v2conf 100% · 912ms · $0.000 · 171 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Bruno. Farah is older than Hana. Tessa is older than Bruno. Bruno is older than Farah. Kira is older than Bruno. Ines is older than Tessa. Sami is older than Kira. Ines is older than Hana. Alice is heavier than everyone here, but Alice is not being ranked. Kira is older than Ines. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Kira

correctreasoning.deduction.position-v1conf 100% · 481ms · $0.000 · 129 tok

question

Four people stand in a queue (number 1 is the front). Farah is number 4 in the queue. Ines is directly ahead of Nadir. Tessa is directly ahead of Ines. Nadir 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: Nadir

correctreasoning.deduction.position-v1anchorconf 100% · 460ms · $0.000 · 130 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 100% · 412ms · $0.000 · 158 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 100% · 446ms · $0.000 · 278 tok

model answer: Mona

correctreasoning.deduction.position-v1anchorconf 100% · 721ms · $0.000 · 154 tok

model answer: Farah

terminal 12/30 correct

wrongterminal.fs.tree-v1conf 100% · 362ms · $0.000 · 87 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/conf`):

```
/proj/build/draft.md
/proj/build/notes.log
/proj/conf/todo.md
/proj/index.txt
/proj/report.cfg
```

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

```sh
mv index.txt notes-9.cfg
mv conf/todo.md src/
mkdir -p build/logs-6
cp notes-9.cfg src/
cd src
touch ../../proj/conf/report-4.txt
touch ../../proj/build/logs-6/main-4.md
cd ../../proj/conf
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/draft.md
/proj/build/logs-6/main-4.md
/proj/build/notes-9.cfg
/proj/build/notes.log
/proj/conf/report-4.txt
/proj/conf/todo.md
/proj/report.cfg
/proj/src/index.txt
/proj/src/notes-9.cfg

wrongterminal.exit.chain-v1conf 100% · 469ms · $0.000 · 23 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
F
exit:0

correctterminal.pipeline.predict-v1conf 100% · 291ms · $0.000 · 16 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,legal,13,17
dev,hr,115,31
kim,eng,56,17
bo,ops,69,17
ana,hr,107,91
ivy,hr,106,86
fay,eng,54,40
eli,hr,45,69
pam,legal,37,70
gus,eng,48,51
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 50

correctterminal.exit.chain-v1conf 100% · 459ms · $0.000 · 23 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
exit:1

wrongterminal.fs.tree-v1conf 100% · 705ms · $0.000 · 52 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/docs`):

```
/proj/docs/draft.cfg
/proj/docs/setup.cfg
/proj/index.txt
/proj/logs/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 index.txt
cd .
rm logs/notes.txt
mv util.md draft-6.cfg
mv draft-6.cfg docs/
cp docs/draft-6.cfg ./
touch logs/setup-5.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/docs/draft-6.cfg
/proj/docs/draft.cfg
/proj/docs/setup.cfg
/proj/logs/setup-5.txt
/proj/draft-6.cfg

correctterminal.pipeline.predict-v1conf 100% · 453ms · $0.000 · 17 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,hr,38,69
eli,legal,111,87
fay,eng,69,51
oli,eng,39,34
hal,ops,53,60
bo,hr,56,28
dev,hr,13,23
ned,eng,50,55
pam,hr,58,56
lou,ops,30,77
ivy,legal,109,14
ana,eng,29,39
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 220

correctterminal.exit.chain-v1conf 100% · 544ms · $0.000 · 27 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
grep -q coral notes.txt && echo A || echo B
test -f data.txt && echo C || echo D
test -f data.txt && echo E || echo F
grep -q amber notes.txt && echo G || echo H
test -f data.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
C
E
H
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 533ms · $0.000 · 60 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/assets`):

```
/proj/conf/util.cfg
/proj/index.txt
/proj/main.txt
/proj/src/setup.md
/proj/src/todo.txt
```

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

```sh
mkdir -p conf/logs-9
rm index.txt
mkdir -p src/logs-5
mv conf/util.cfg conf/logs-9/
mv src/setup.md conf/logs-9/
cd .
touch main-9.cfg
mv src/todo.txt conf/
mv main.txt draft-7.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/conf/draft-7.cfg
/proj/conf/logs-9/setup.md
/proj/conf/logs-9/util.cfg
/proj/conf/todo.txt
/proj/main-9.cfg

correctterminal.pipeline.predict-v1conf 100% · 509ms · $0.000 · 23 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,eng,83,83
ned,legal,20,52
dev,ops,25,57
pam,legal,90,22
bo,sales,82,48
gus,eng,92,52
hal,hr,84,84
oli,ops,43,39
cy,sales,54,25
max,hr,107,92
```

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:

dev,25
oli,43

correctterminal.exit.chain-v1conf 100% · 463ms · $0.000 · 25 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 369ms · $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/main.cfg
/proj/assets/setup.md
/proj/conf/report.txt
/proj/index.md
/proj/util.log
```

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

```sh
mkdir -p build-7
mkdir -p conf-7
cd assets
mkdir -p ../../proj/logs/logs-5
touch draft-5.cfg
rm ../../proj/conf/report.txt
rm main.cfg
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/assets/draft-5.cfg
/proj/assets/setup.md
/proj/build-7
/proj/conf-7
/proj/index.md
/proj/logs/logs-5
/proj/logs/util.log

correctterminal.pipeline.predict-v1conf 100% · 445ms · $0.000 · 15 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,ops,17,33
ana,hr,57,97
max,sales,5,86
cy,ops,33,69
fay,hr,108,11
oli,hr,78,73
hal,sales,104,39
ivy,legal,27,88
jon,hr,31,17
lou,hr,79,13
bo,ops,71,78
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 52 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1

wrongterminal.fs.tree-v1conf 95% · 584ms · $0.000 · 76 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`):

```
/proj/build/draft.txt
/proj/docs/index.log
/proj/docs/notes.md
/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
cp util.txt assets/
cp setup.txt docs/
mkdir -p assets/docs-5
touch assets/main-7.md
touch build/report-7.cfg
cd build
cd ../../proj/assets/docs-5
mkdir -p ../../../proj/src-1
cd ../../../proj/assets
mkdir -p ../../proj/src-4
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/assets/docs-5/main-7.md
/proj/assets/main-7.md
/proj/build/draft.txt
/proj/build/report-7.cfg
/proj/docs/index.log
/proj/docs/notes.md
/proj/docs/setup.txt
/proj/setup.txt
/proj/util.txt

wrongterminal.exit.chain-v1conf 100% · 602ms · $0.000 · 23 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
D
F
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 774ms · $0.000 · 15 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,ops,106,81
jon,sales,88,98
dev,ops,110,13
lou,legal,8,82
oli,legal,112,87
ivy,hr,104,18
bo,hr,105,95
kim,legal,22,83
ana,ops,81,80
max,eng,112,89
pam,ops,90,42
ned,ops,15,94
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 62 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 4

correctterminal.exit.chain-v1conf 100% · 985ms · $0.000 · 25 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

`notes.txt` contains exactly the words: coral, amber (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
false && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
D
F
H
exit:1

wrongterminal.fs.tree-v1conf 95% · 504ms · $0.000 · 73 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/logs`):

```
/proj/logs/draft.txt
/proj/logs/index.md
/proj/logs/setup.txt
/proj/main.txt
/proj/report.md
```

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

```sh
mkdir -p docs/build-9
cp logs/draft.txt ./
cd build
mv ../../proj/logs/draft.txt ../../proj/logs/setup-3.cfg
cd ../../proj/logs
touch ../../proj/build/report-4.md
cd ../../proj/build
cp ../../proj/report.md ./
cd ../../proj
rm logs/setup-3.cfg
cd build
touch ../../proj/docs/build-9/setup-8.txt
mv ../../proj/docs/build-9/setup-8.txt ../../proj/docs/build-9/todo-6.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/report-4.md
/proj/build/report.md
/proj/docs/build-9/todo-6.md
/proj/logs/draft.txt
/proj/logs/index.md
/proj/logs/setup.txt
/proj/main.txt
/proj/report.md

correctterminal.pipeline.predict-v1conf 100% · 523ms · $0.000 · 18 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,hr,45,85
eli,sales,108,20
pam,hr,32,63
jon,legal,104,13
oli,hr,5,19
ana,legal,76,63
ivy,hr,100,94
lou,eng,57,59
kim,eng,67,56
dev,legal,118,25
fay,sales,5,39
gus,legal,37,51
max,eng,98,21
cy,ops,49,24
```

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: cy,49

correctterminal.exit.chain-v1conf 100% · 412ms · $0.000 · 25 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
C
F
H
exit:1

wrongterminal.fs.tree-v1conf 95% · 510ms · $0.000 · 84 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/src`):

```
/proj/assets/notes.txt
/proj/docs/setup.cfg
/proj/index.txt
/proj/report.txt
/proj/src/draft.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 docs/setup.cfg
cd docs
mkdir -p ../../proj/src/logs-1
touch ../../proj/assets/todo-1.txt
mkdir -p logs-3
cp ../../proj/report.txt ./
touch ../../proj/todo-9.cfg
cd .
touch draft-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/assets/notes.txt
/proj/assets/todo-1.txt
/proj/draft-9.log
/proj/docs/logs-3/report.txt
/proj/docs/setup.cfg
/proj/index.txt
/proj/report.txt
/proj/src/draft.txt
/proj/src/logs-1/todo-9.cfg

correctterminal.pipeline.predict-v1conf 100% · 705ms · $0.000 · 15 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,eng,51,39
fay,sales,118,87
ivy,sales,19,56
pam,hr,69,38
ana,sales,26,90
dev,eng,97,85
oli,ops,119,78
gus,legal,79,72
max,legal,7,38
hal,eng,61,18
lou,hr,13,70
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 60 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1

wrongterminal.fs.tree-v1conf 95% · 524ms · $0.000 · 75 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/src`):

```
/proj/docs/index.md
/proj/notes.txt
/proj/src/draft.md
/proj/src/util.txt
/proj/todo.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
touch docs/report-1.md
mkdir -p src/src-6
mkdir -p assets-1
rm docs/report-1.md
cd docs
touch ../../proj/assets-1/todo-6.log
mv ../../proj/src/util.txt ../../proj/
mkdir -p ../../proj/assets-1/conf-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-1/conf-2
/proj/assets-1/todo-6.log
/proj/docs/index.md
/proj/logs
/proj/notes.txt
/proj/src/draft.md
/proj/src/src-6
/proj/todo.cfg
/proj/util.txt

correctterminal.exit.chain-v1conf 100% · 536ms · $0.000 · 25 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
D
E
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 525ms · $0.000 · 24 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,hr,42,99
gus,legal,68,76
ned,eng,86,96
bo,hr,96,88
pam,eng,54,66
fay,ops,33,34
cy,hr,31,42
hal,ops,8,95
eli,eng,14,23
kim,ops,13,23
oli,hr,95,42
dev,hr,55,35
lou,sales,91,46
ana,sales,15,87
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

bo,96
gus,68

wrongterminal.exit.chain-v1conf 100% · 517ms · $0.000 · 23 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
F
exit:0

wrongterminal.fs.tree-v1conf 95% · 515ms · $0.000 · 60 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/conf`):

```
/proj/conf/index.cfg
/proj/conf/report.log
/proj/conf/todo.cfg
/proj/setup.cfg
/proj/util.log
```

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

```sh
mkdir -p src-5
touch logs/draft-8.cfg
mv conf/index.cfg assets/
touch assets/report-5.md
mkdir -p logs-3
cd logs-3
touch ../../proj/conf/draft-5.cfg
cd ../../proj/src-5
mv ../../proj/assets/index.cfg ../../proj/conf/
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongterminal.pipeline.predict-v1anchorconf 100% · 494ms · $0.000 · 44 tok

model answer:

cy,eng,115,45
max,eng,43,64
eli,eng,60,55

wrongterminal.exit.chain-v1anchorconf 100% · 360ms · $0.000 · 25 tok

model answer:

B
D
E
G
exit:0

wrongterminal.fs.tree-v1anchorconf 95% · 737ms · $0.000 · 73 tok

model answer:

/proj/build/logs-1/setup-8.md
/proj/build/logs-1/todo-4.md
/proj/build/logs-8/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfg

wrongterminal.pipeline.predict-v1anchorconf 100% · 561ms · $0.000 · 15 tok

model answer: 2

Run history

2026-08-05v0.2.0index_fit537
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Global Index

Per-domain scores

Every answer, every test

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Venice: Uncensored