Meta: Llama 3.3 70B Instruct

meta-llama/llama-3.3-70b-instruct · meta-llama · context 131 072 · in $0.100/1M · out $0.320/1M

Global Index

575

95% CI [532–618] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	531 [438–624]	0.349	0.83	0.47	0.000	212ms	$0.170
code	335 [248–421]	0.290	0.72	0.52	0.270	162ms	$0.243
instruction following	360 [272–449]	0.306	0.80	0.57	0.212	147ms	$0.029
knowledge	725 [554–897]	0.542	1.00	1.00	0.000	181ms	$0.014
math	466 [393–540]	0.223	0.83	0.59	0.000	167ms	$0.092
multilingual	811 [647–976]	0.698	0.95	1.00	0.000	146ms	$0.034
reasoning	716 [577–854]	0.569	0.92	0.87	0.000	164ms	$0.080
terminal	657 [549–765]	0.531	0.81	0.67	0.000	170ms	$0.043

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 14/30 correct

correctagentic.tools.ledger-v1conf 100% · 300ms · $0.000 · 130 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $840
- alpha: $122
- bravo: $789

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $525 from "tango" to "alpha"
2. pay $241 from "tango" to "alpha"
3. pay $460 from "bravo" to "alpha"
4. pay $93 from "alpha" to "tango"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 525}},
  {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 241}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 460}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 93}}
]

correctagentic.tools.triage-v1conf 100% · 128ms · $0.000 · 198 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 9)
2. "webhooks not delivered" (category: infra, priority 9)
3. "cannot reset password" (category: auth, priority 6)

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

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

model answer:

[
  {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
  {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
  {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}
]

wrongagentic.tools.context-load-v1conf 100% · 764ms · $0.001 · 689 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 (183 records, format: id|customer|region|item|qty|status):
```
1463|cobalt|south|panel|48|paid
1420|dorian|east|gasket|80|shipped
1086|gale|west|valve|60|shipped
1455|fulton|south|gasket|65|shipped
1699|dorian|south|gasket|13|pending
1651|gale|west|rotor|76|paid
1315|acme|east|frame|23|pending
1081|gale|east|pump|78|pending
1617|ionic|west|cable|91|shipped
1218|fulton|east|cable|59|held
1621|juno|north|sensor|34|paid
1644|juno|west|pump|61|held
1707|gale|south|cable|36|held
1373|juno|north|valve|73|pending
1168|birch|south|valve|94|shipped
1202|ionic|east|valve|63|pending
1461|fulton|south|sensor|57|shipped
1382|ember|north|cable|31|held
1752|juno|south|gasket|44|shipped
1453|gale|north|panel|69|paid
1169|ionic|north|cable|59|paid
1167|ionic|west|panel|51|paid
1149|birch|east|rotor|71|shipped
1108|gale|west|sensor|67|pending
1607|birch|east|panel|60|paid
1401|birch|east|rotor|94|shipped
1376|ionic|east|rotor|17|pending
1266|acme|north|frame|50|pending
1350|gale|south|rotor|74|pending
1322|acme|south|frame|17|held
1284|gale|south|sensor|37|pending
1278|ionic|north|frame|16|paid
1319|harbor|east|valve|68|paid
1497|fulton|south|cable|61|paid
1253|ionic|south|panel|10|held
1418|harbor|south|pump|28|held
1815|harbor|north|valve|46|pending
1811|dorian|east|frame|28|pending
1495|juno|east|pump|13|shipped
1329|dorian|east|panel|51|pending
1728|ionic|west|gasket|23|held
1327|gale|north|rotor|27|shipped
1177|cobalt|east|panel|73|shipped
1538|fulton|east|valve|34|pending
1436|fulton|east|sensor|51|paid
1470|ionic|west|rotor|75|pending
1360|gale|west|pump|71|paid
1211|gale|south|rotor|44|shipped
1242|gale|east|panel|87|pending
1717|fulton|north|frame|38|pending
1528|juno|west|pump|98|shipped
1259|juno|west|valve|97|shipped
1114|gale|west|rotor|28|held
1770|juno|west|pump|23|paid
1093|gale|west|frame|20|pending
1631|ember|south|frame|85|paid
1705|dorian|south|frame|40|paid
1111|gale|north|frame|46|pending
1308|cobalt|west|valve|94|paid
1127|dorian|east|gasket|18|paid
1412|juno|north|rotor|50|paid
1078|gale|west|valve|81|pending
1786|ionic|north|rotor|79|held
1524|harbor|west|rotor|79|paid
1816|dorian|west|pump|12|pending
1125|ember|east|frame|69|shipped
1656|harbor|north|gasket|21|paid
1158|cobalt|south|pump|51|shipped
1688|dorian|north|frame|77|paid
1477|cobalt|north|panel|57|paid
1341|fulton|north|panel|54|paid
1118|cobalt|south|frame|70|shipped
1097|gale|south|pump|92|pending
1711|harbor|east|cable|13|pending
1519|acme|south|rotor|76|held
1691|gale|south|valve|46|shipped
1141|dorian|south|cable|37|paid
1575|ionic|north|cable|78|paid
1244|fulton|west|gasket|82|paid
1132|gale|south|pump|79|pending
1664|juno|north|rotor|87|pending
1336|juno|north|valve|86|pending
1375|cobalt|south|panel|20|shipped
1135|harbor|west|pump|20|held
1804|ionic|north|cable|92|pending
1795|juno|west|gasket|62|pending
1181|fulton|west|sensor|91|shipped
1364|acme|north|pump|61|held
1302|acme|south|frame|98|held
1734|juno|north|cable|27|shipped
1556|acme|east|valve|20|pending
1541|birch|south|pump|31|shipped
1638|gale|north|cable|19|paid
1292|harbor|east|sensor|26|held
1228|cobalt|west|sensor|26|shipped
1596|fulton|north|frame|12|paid
1725|dorian|east|panel|52|shipped
1464|ionic|east|pump|74|pending
1374|ember|south|rotor|50|held
1627|ionic|north|panel|92|held
1222|fulton|south|rotor|81|shipped
1548|cobalt|east|gasket|58|pending
1337|juno|south|valve|68|paid
1368|birch|south|sensor|95|paid
1196|ionic|north|panel|17|paid
1782|fulton|south|gasket|56|shipped
1427|fulton|north|frame|57|shipped
1328|cobalt|east|gasket|88|pending
1356|gale|south|sensor|47|paid
1444|cobalt|south|rotor|35|held
1295|cobalt|south|cable|40|pending
1250|fulton|south|valve|93|paid
1269|juno|east|panel|63|paid
1736|acme|west|gasket|84|held
1549|cobalt|east|pump|72|shipped
1668|ionic|south|sensor|19|paid
1740|acme|west|sensor|92|pending
1187|dorian|west|sensor|68|pending
1585|dorian|east|sensor|50|paid
1479|juno|south|pump|41|paid
1271|dorian|west|gasket|79|paid
1777|cobalt|west|cable|38|pending
1442|harbor|south|panel|43|pending
1600|dorian|west|frame|86|pending
1481|ember|south|frame|15|held
1156|acme|south|pump|28|pending
1758|birch|south|sensor|81|held
1160|harbor|north|pump|56|held
1313|ionic|north|sensor|61|paid
1486|dorian|south|pump|85|pending
1147|fulton|east|gasket|73|pending
1300|dorian|east|panel|37|pending
1746|gale|east|cable|50|held
1276|dorian|south|pump|30|shipped
1467|ember|south|cable|74|held
1394|juno|east|valve|70|held
1763|dorian|west|frame|19|shipped
1393|ionic|north|rotor|77|shipped
1254|gale|east|rotor|66|paid
1175|dorian|west|sensor|10|shipped
1115|harbor|north|panel|34|shipped
1288|harbor|south|sensor|62|shipped
1675|birch|south|frame|60|held
1348|gale|east|pump|54|held
1102|gale|west|panel|67|shipped
1408|ember|north|valve|10|shipped
1567|cobalt|north|rotor|78|pending
1208|ember|north|gasket|15|shipped
1194|cobalt|east|frame|28|paid
1511|ionic|east|valve|11|held
1352|dorian|north|pump|13|held
1388|juno|south|frame|37|paid
1532|harbor|west|sensor|56|paid
1447|juno|north|panel|40|shipped
1504|cobalt|north|sensor|69|shipped
1682|fulton|east|frame|88|paid
1724|gale|north|cable|28|held
1361|gale|north|panel|45|shipped
1610|harbor|east|frame|14|shipped
1235|birch|south|pump|22|pending
1277|fulton|east|rotor|89|paid
1516|gale|east|cable|41|paid
1803|fulton|west|pump|75|paid
1205|dorian|north|pump|65|held
1791|birch|south|cable|16|pending
1582|ember|east|cable|55|paid
1151|harbor|north|frame|68|pending
1247|ember|east|gasket|12|paid
1678|ionic|south|sensor|27|shipped
1530|gale|north|panel|61|shipped
1568|cobalt|north|sensor|28|pending
1592|fulton|south|cable|31|shipped
1798|gale|north|sensor|21|pending
1693|harbor|east|panel|84|pending
1563|gale|west|pump|35|shipped
1173|dorian|north|rotor|90|paid
1501|cobalt|east|frame|38|pending
1662|acme|east|panel|71|shipped
1402|acme|north|panel|53|shipped
1560|juno|east|rotor|84|pending
1434|fulton|west|cable|56|paid
1492|juno|south|cable|78|pending
1233|juno|south|rotor|81|paid
```

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 > 60, 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": 1081}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 76}},
  {"tool": "cancel_order", "args": {"order_id": 1093}},
  {"tool": "cancel_order", "args": {"order_id": 1132}},
  {"tool": "restock", "args": {"item": "pump", "qty": 71}},
  {"tool": "cancel_order", "args": {"order_id": 1467}},
  {"tool": "cancel_order", "args": {"order_id": 1470}},
  {"tool": "cancel_order", "args": {"order_id": 1481}},
  {"tool": "cancel_order", "args": {"order_id": 1492}},
  {"tool": "cancel_order", "args": {"order_id": 1600}},
  {"tool": "cancel_order", "args": {"order_id": 1617}},
  {"tool": "cancel_order", "args": {"order_id": 1651}},
  {"tool": "cancel_order", "args": {"order_id": 1664}},
  {"tool": "cancel_order", "args": {"order_id": 1675}},
  {"tool": "cancel_order", "args": {"order_id": 1688}},
  {"tool": "cancel_order", "args": {"order_id": 1691}},
  {"tool": "cancel_order", "args": {"order_id": 1707}},
  {"tool": "cancel_order", "args": {"order_id": 1724}},
  {"tool": "cancel_order", "args": {"order_id": 1728}},
  {"tool": "cancel_order", "args": {"order_id": 1740}},
  {"tool": "cancel_order", "args": {"order_id": 1746}},
  {"tool": "cancel_order", "args": {"order_id": 1752}},
  {"tool": "cancel_order", "args": {"order_id": 1763}},
  {"tool": "cancel_order", "args": {"order_id": 1770}},
  {"tool": "cancel_order", "args": {"order_id": 1777}},
  {"tool": "cancel_order", "args": {"order_id": 1782}},
  {"tool": "cancel_order", "args": {"order_id": 1786}},
  {"tool": "cancel_order", "args": {"order_id": 1791}},
  {"tool": "cancel_order", "args": {"order_id": 1795}},
  {"tool": "cancel_order", "args": {"order_id": 1798}},
  {"tool": "cancel_order", "args": {"order_id": 1803}},
  {"tool": "cancel_order", "args": {"order_id": 1804}},
  {"tool": "cancel_order", "args": {"order_id": 1811}},
  {"tool": "cancel_order", "args": {"order_id": 1815}},
  {"tool": "cancel_order", "args": {"order_id": 1816}}
]

wrongagentic.tools.context-load-v1conf 100% · 598ms · $0.000 · 151 tok

question

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

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

ORDER LEDGER (122 records, format: id|customer|region|item|qty|status):
```
1364|ionic|east|rotor|60|held
1446|ember|east|valve|16|paid
1389|fulton|north|gasket|28|held
1524|harbor|north|valve|45|shipped
1585|harbor|south|sensor|84|pending
1682|birch|west|pump|89|shipped
1353|harbor|west|sensor|97|pending
1454|fulton|south|frame|81|pending
1425|harbor|north|pump|43|held
1597|fulton|north|panel|11|shipped
1267|dorian|north|cable|54|shipped
1476|dorian|west|frame|85|shipped
1720|fulton|east|panel|67|shipped
1745|acme|west|cable|65|held
1713|fulton|north|sensor|95|held
1502|acme|east|gasket|27|paid
1509|birch|west|panel|60|paid
1702|harbor|east|rotor|33|pending
1704|ionic|west|cable|65|pending
1383|fulton|west|panel|58|held
1677|ionic|south|pump|64|pending
1298|dorian|west|valve|47|pending
1654|ember|north|panel|66|held
1598|harbor|east|gasket|95|pending
1485|ionic|north|pump|29|held
1553|cobalt|north|valve|37|paid
1521|ember|east|panel|86|pending
1589|ionic|south|rotor|58|paid
1410|ember|north|rotor|77|paid
1531|dorian|north|frame|11|shipped
1647|birch|north|frame|31|shipped
1360|cobalt|west|frame|22|shipped
1490|gale|east|panel|41|paid
1665|ember|east|panel|90|shipped
1268|dorian|north|sensor|89|pending
1694|juno|north|sensor|22|shipped
1576|dorian|east|rotor|70|pending
1481|cobalt|north|pump|11|shipped
1515|ionic|west|frame|17|shipped
1605|fulton|north|gasket|32|pending
1407|birch|north|rotor|62|paid
1685|harbor|east|sensor|14|paid
1297|dorian|north|sensor|39|pending
1402|dorian|north|sensor|13|shipped
1630|dorian|north|rotor|45|pending
1561|acme|east|panel|54|held
1590|dorian|west|pump|16|paid
1578|acme|north|frame|10|pending
1329|cobalt|south|panel|48|pending
1574|juno|west|panel|96|held
1271|dorian|east|panel|89|pending
1448|gale|south|pump|42|shipped
1690|fulton|west|cable|32|paid
1393|gale|east|frame|13|held
1340|dorian|east|rotor|62|paid
1731|ember|east|cable|76|shipped
1707|acme|west|gasket|11|held
1278|dorian|north|rotor|96|held
1623|gale|south|panel|83|pending
1308|dorian|north|pump|56|pending
1320|cobalt|west|sensor|76|pending
1436|dorian|east|valve|32|paid
1737|acme|south|pump|99|pending
1457|fulton|east|panel|78|shipped
1548|gale|east|cable|54|paid
1343|ionic|north|gasket|34|pending
1463|gale|south|cable|47|pending
1542|cobalt|south|valve|90|shipped
1740|juno|east|gasket|42|paid
1403|juno|south|rotor|99|paid
1727|acme|south|pump|50|paid
1735|ember|east|sensor|87|shipped
1667|gale|north|frame|30|shipped
1468|fulton|south|valve|42|held
1501|fulton|north|gasket|79|pending
1614|dorian|east|valve|32|paid
1566|ionic|north|panel|21|paid
1260|dorian|south|sensor|55|pending
1473|juno|east|pump|97|held
1638|ember|south|valve|30|paid
1443|juno|south|frame|99|shipped
1369|juno|west|panel|45|pending
1757|birch|west|valve|70|pending
1323|juno|north|rotor|75|shipped
1496|ember|north|cable|84|pending
1655|cobalt|west|cable|21|pending
1312|dorian|east|sensor|12|pending
1336|juno|north|gasket|58|shipped
1620|ionic|north|pump|87|shipped
1575|cobalt|north|sensor|54|shipped
1419|ember|west|panel|90|held
1556|ionic|west|valve|68|paid
1434|gale|south|panel|51|held
1362|cobalt|west|pump|22|paid
1751|cobalt|north|sensor|64|paid
1572|dorian|south|rotor|20|paid
1301|dorian|north|panel|33|paid
1431|gale|north|frame|38|pending
1375|harbor|west|cable|70|paid
1701|ember|west|panel|72|paid
1413|acme|south|sensor|68|held
1673|ember|west|panel|69|shipped
1535|gale|east|panel|77|shipped
1256|dorian|north|pump|56|pending
1610|fulton|south|gasket|33|held
1348|ionic|west|rotor|96|paid
1643|acme|east|valve|18|shipped
1396|acme|west|frame|96|pending
1661|juno|east|sensor|34|held
1486|dorian|north|frame|68|paid
1505|gale|north|valve|20|shipped
1284|dorian|west|pump|13|pending
1290|dorian|north|rotor|80|shipped
1715|juno|north|pump|42|pending
1684|gale|south|panel|86|held
1316|cobalt|east|panel|67|shipped
1529|cobalt|north|frame|25|paid
1315|dorian|north|panel|10|paid
1381|gale|north|panel|99|paid
1636|acme|north|cable|94|held
1281|dorian|north|frame|36|pending
1710|birch|north|cable|57|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "cancel_order", "args": {"order_id": 1267}},
  {"tool": "restock", "args": {"item": "sensor", "qty": 89}},
  {"tool": "cancel_order", "args": {"order_id": 1297}},
  {"tool": "cancel_order", "args": {"order_id": 1308}},
  {"tool": "cancel_order", "args": {"order_id": 1312}},
  {"tool": "cancel_order", "args": {"order_id": 1281}},
  {"tool": "cancel_order", "args": {"order_id": 1256}}
]

correctagentic.tools.deploy-v1conf 100% · 96ms · $0.000 · 99 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

wrongagentic.tools.ledger-v1conf 100% · 215ms · $0.000 · 190 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $567
- tango: $134
- kilo: $186

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $473 from "tango" to "kilo"
2. pay $320 from "kilo" to "lima"
3. pay $363 from "lima" to "tango"
4. pay $486 from "lima" to "kilo"
5. pay $348 from "lima" to "tango"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 473}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 320}},
  {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 363}},
  {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 486}},
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 275}},
  {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 348}}
]

correctagentic.tools.triage-v1conf 100% · 165ms · $0.000 · 198 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "invoice total wrong" (category: payments, priority 9)
3. "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:

[
  {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
  {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
  {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]

correctagentic.tools.deploy-v1conf 100% · 113ms · $0.000 · 99 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

wrongagentic.tools.ledger-v1conf 100% · 162ms · $0.000 · 238 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $243
- delta: $806
- lima: $791

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $555 from "tango" to "lima"
2. pay $450 from "tango" to "delta"
3. pay $593 from "tango" to "delta"
4. pay $167 from "tango" to "delta"
5. pay $482 from "tango" to "delta"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 555}},
  {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 450}},
  {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 338}},
  {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 593}},
  {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 214}},
  {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 167}},
  {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 482}},
  {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 482}}
]

correctagentic.tools.triage-v1conf 100% · 187ms · $0.000 · 228 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "export file corrupted" (category: data, priority 2)
3. "uploads failing intermittently" (category: infra, priority 6)
4. "export file corrupted" (category: data, priority 2)

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

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

model answer:

[
  {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
  {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
  {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}},
  {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]

wrongagentic.tools.context-load-v1conf 100% · 213ms · $0.000 · 170 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 (151 records, format: id|customer|region|item|qty|status):
```
1076|juno|south|cable|23|paid
1511|acme|north|frame|30|paid
1271|dorian|west|panel|63|held
1307|fulton|west|rotor|69|pending
1659|acme|east|frame|93|shipped
1072|juno|east|rotor|15|pending
1178|ember|north|sensor|97|held
1574|ember|east|pump|21|shipped
1366|dorian|west|cable|57|paid
1321|harbor|north|pump|78|held
1374|acme|west|rotor|10|paid
1408|cobalt|east|cable|45|shipped
1650|fulton|east|panel|87|pending
1299|cobalt|south|panel|67|shipped
1289|birch|west|frame|77|pending
1273|gale|west|gasket|93|held
1157|ionic|south|cable|82|held
1413|ionic|west|panel|84|pending
1328|birch|west|cable|73|held
1614|fulton|west|rotor|80|pending
1163|dorian|west|cable|95|pending
1348|dorian|north|valve|83|held
1137|harbor|south|pump|21|paid
1539|birch|west|gasket|42|shipped
1261|fulton|west|cable|89|shipped
1604|ember|west|sensor|66|pending
1097|juno|south|pump|77|paid
1443|gale|south|panel|93|pending
1280|acme|north|gasket|26|held
1237|acme|south|sensor|52|held
1234|harbor|south|rotor|72|held
1392|dorian|south|panel|19|held
1378|acme|east|sensor|94|pending
1170|ember|east|gasket|36|held
1363|birch|north|sensor|50|held
1529|harbor|east|valve|95|shipped
1160|dorian|east|rotor|85|held
1185|juno|north|cable|86|pending
1048|juno|south|rotor|58|pending
1355|birch|west|gasket|14|shipped
1100|fulton|east|sensor|97|paid
1252|juno|south|valve|92|shipped
1634|dorian|south|frame|69|held
1247|acme|south|panel|24|held
1488|juno|north|sensor|62|paid
1064|juno|south|valve|73|paid
1222|harbor|north|panel|51|shipped
1544|birch|west|pump|54|shipped
1362|birch|west|sensor|38|pending
1131|dorian|east|valve|76|paid
1360|cobalt|east|gasket|28|pending
1462|cobalt|north|sensor|89|paid
1102|fulton|north|cable|98|paid
1561|birch|south|valve|10|held
1597|fulton|north|pump|32|pending
1629|cobalt|north|sensor|83|shipped
1176|juno|west|sensor|88|pending
1533|fulton|east|panel|89|held
1218|ember|west|frame|96|held
1184|fulton|north|sensor|62|paid
1092|ember|south|sensor|22|shipped
1192|birch|east|frame|53|held
1112|harbor|north|frame|22|paid
1085|juno|north|panel|16|pending
1619|cobalt|west|cable|59|pending
1497|harbor|east|valve|44|paid
1135|cobalt|west|rotor|85|held
1651|dorian|west|sensor|33|pending
1445|gale|west|pump|87|held
1319|ionic|north|valve|67|pending
1471|juno|east|frame|73|shipped
1437|juno|north|sensor|92|pending
1262|harbor|south|rotor|31|pending
1582|birch|north|gasket|31|shipped
1080|juno|south|panel|49|pending
1492|gale|east|rotor|17|paid
1593|fulton|south|pump|62|pending
1645|birch|west|pump|86|pending
1464|dorian|south|pump|48|paid
1246|birch|north|rotor|18|paid
1573|gale|north|gasket|14|pending
1517|ember|east|gasket|49|paid
1335|ionic|north|sensor|72|shipped
1306|dorian|south|gasket|16|shipped
1223|gale|west|pump|46|pending
1260|ember|south|panel|89|shipped
1243|ionic|north|rotor|13|held
1547|ionic|west|valve|86|shipped
1124|gale|west|sensor|11|held
1294|acme|south|panel|89|pending
1566|gale|east|pump|10|pending
1425|acme|west|panel|77|held
1228|harbor|east|sensor|94|pending
1451|juno|east|gasket|73|held
1379|juno|north|sensor|66|paid
1420|juno|north|panel|16|shipped
1191|dorian|north|pump|47|shipped
1343|ionic|south|valve|78|paid
1455|cobalt|south|sensor|84|paid
1268|fulton|south|panel|59|pending
1290|fulton|west|pump|52|paid
1109|harbor|east|gasket|21|held
1198|ionic|west|cable|45|pending
1093|gale|north|rotor|10|shipped
1314|ember|north|panel|43|held
1385|dorian|east|gasket|92|paid
1554|acme|south|pump|58|held
1060|juno|south|frame|63|pending
1490|fulton|east|panel|54|shipped
1612|birch|south|pump|75|paid
1371|ember|west|gasket|60|shipped
1411|fulton|north|cable|15|held
1656|harbor|east|frame|33|held
1286|acme|east|pump|33|held
1395|juno|south|rotor|58|pending
1318|ionic|north|valve|28|pending
1179|harbor|west|valve|15|shipped
1432|cobalt|west|panel|72|pending
1090|juno|south|pump|47|shipped
1151|birch|south|frame|77|paid
1061|juno|north|valve|88|pending
1071|juno|south|valve|77|pending
1456|dorian|east|sensor|29|paid
1207|birch|west|rotor|82|paid
1508|ionic|north|panel|31|shipped
1117|acme|south|rotor|98|shipped
1211|ember|east|valve|52|shipped
1283|dorian|west|sensor|19|paid
1586|birch|west|frame|65|paid
1056|juno|south|cable|72|held
1105|cobalt|north|sensor|43|shipped
1485|birch|east|rotor|29|pending
1643|juno|east|panel|22|shipped
1523|gale|west|gasket|95|held
1401|dorian|south|sensor|92|pending
1641|ember|west|sensor|49|held
1049|juno|west|frame|31|pending
1503|ionic|east|valve|80|paid
1575|ember|west|gasket|48|pending
1478|birch|east|frame|47|paid
1334|ionic|west|sensor|68|paid
1447|dorian|south|panel|95|held
1141|fulton|east|cable|56|pending
1611|ionic|south|panel|70|shipped
1347|acme|west|rotor|39|pending
1258|dorian|east|frame|85|held
1148|ember|south|frame|21|shipped
1624|juno|north|pump|35|paid
1340|gale|south|cable|99|pending
1132|acme|east|pump|33|paid
1203|harbor|north|panel|89|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 52, 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": 1072}},
  {"tool": "restock", "args": {"item": "panel", "qty": 49}},
  {"tool": "cancel_order", "args": {"order_id": 1060}},
  {"tool": "cancel_order", "args": {"order_id": 1340}},
  {"tool": "cancel_order", "args": {"order_id": 1395}},
  {"tool": "cancel_order", "args": {"order_id": 1056}},
  {"tool": "cancel_order", "args": {"order_id": 1071}},
  {"tool": "cancel_order", "args": {"order_id": 1061}}
]

wrongagentic.tools.ledger-v1conf 100% · 204ms · $0.000 · 216 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $305
- oscar: $890
- kilo: $366

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $416 from "kilo" to "lima"
2. pay $104 from "oscar" to "lima"
3. pay $367 from "kilo" to "lima"
4. pay $312 from "oscar" to "lima"
5. pay $301 from "lima" to "kilo"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 416}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 104}},
  {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 1}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 367}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 312}},
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 4}},
  {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 301}}
]

correctagentic.tools.deploy-v1conf 100% · 196ms · $0.000 · 96 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: gateway
- reports: gateway
- billing: reports

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

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

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

model answer:

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

correctagentic.tools.triage-v1conf 100% · 264ms · $0.000 · 178 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:
- payments → okafor
- data → novak
- auth → dubois

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "records missing after import" (category: data, priority 4)
3. "records missing after import" (category: data, priority 4)

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

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

model answer:

[
  {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]

wrongagentic.tools.context-load-v1conf 100% · 907ms · $0.001 · 360 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 (243 records, format: id|customer|region|item|qty|status):
```
1064|gale|north|sensor|46|paid
1188|ionic|east|gasket|31|shipped
1947|harbor|east|rotor|69|paid
1136|birch|south|valve|93|paid
1560|dorian|east|frame|53|paid
1741|cobalt|west|gasket|58|shipped
1139|juno|north|panel|98|pending
1418|dorian|north|panel|44|held
1978|gale|west|pump|10|paid
1055|fulton|east|cable|64|pending
1965|fulton|north|rotor|75|pending
1771|fulton|east|pump|69|shipped
1306|fulton|south|frame|10|pending
1933|acme|south|frame|63|shipped
1389|harbor|east|rotor|29|paid
1148|harbor|east|rotor|77|held
1663|ionic|west|panel|76|paid
1896|ember|west|cable|59|paid
1794|cobalt|west|panel|85|shipped
1788|dorian|east|pump|67|held
1759|harbor|south|cable|30|shipped
1674|fulton|north|valve|63|held
1857|juno|south|frame|81|pending
1891|ember|west|rotor|60|held
1613|acme|south|frame|51|shipped
1582|fulton|north|cable|37|pending
1399|birch|north|sensor|52|pending
1684|juno|south|panel|75|held
1457|fulton|north|sensor|58|pending
1101|harbor|south|sensor|42|shipped
1827|ember|north|frame|75|pending
1643|harbor|north|gasket|70|paid
1381|cobalt|east|frame|75|held
1313|birch|west|gasket|78|shipped
1734|cobalt|west|gasket|65|paid
1511|harbor|west|rotor|94|paid
1699|birch|east|gasket|90|pending
1689|gale|south|rotor|67|pending
1172|ionic|south|sensor|72|pending
1183|cobalt|west|gasket|56|shipped
1899|fulton|south|pump|83|shipped
1035|fulton|south|frame|30|held
1097|acme|east|pump|47|paid
1153|ionic|east|sensor|51|held
1553|ionic|south|rotor|10|shipped
1323|cobalt|west|cable|83|pending
1897|acme|east|pump|81|shipped
1800|ionic|west|valve|94|pending
1414|fulton|east|panel|28|shipped
1478|cobalt|east|panel|29|shipped
1957|dorian|west|pump|38|held
1807|harbor|south|cable|37|held
1472|birch|south|valve|82|paid
1885|cobalt|east|panel|42|shipped
1436|ember|east|panel|14|shipped
1334|harbor|west|gasket|13|shipped
1764|dorian|south|panel|25|pending
1546|gale|north|gasket|59|shipped
1577|gale|west|rotor|73|pending
1165|ionic|east|sensor|67|held
1648|juno|west|panel|65|paid
1085|juno|west|gasket|27|pending
1830|ember|north|frame|96|held
1972|harbor|north|sensor|59|held
1566|cobalt|south|valve|30|paid
1929|cobalt|west|frame|22|held
1195|ionic|north|rotor|40|shipped
1104|cobalt|east|panel|54|held
1784|juno|east|gasket|14|paid
1841|harbor|west|valve|15|paid
1019|fulton|south|cable|82|pending
1959|fulton|east|rotor|61|paid
1736|dorian|north|cable|79|held
1302|birch|north|pump|11|held
1844|birch|east|frame|76|shipped
1630|dorian|north|panel|41|shipped
1835|acme|west|cable|55|paid
1308|dorian|west|rotor|75|shipped
1265|ionic|west|sensor|69|held
1160|fulton|north|sensor|78|shipped
1561|harbor|north|gasket|23|pending
1668|gale|west|rotor|40|paid
1250|birch|west|gasket|90|paid
1090|acme|west|panel|19|pending
1200|acme|north|rotor|28|paid
1012|fulton|south|rotor|15|paid
1829|acme|west|panel|95|shipped
1312|harbor|north|cable|48|pending
1413|juno|south|cable|72|paid
1329|fulton|south|gasket|59|shipped
1130|dorian|north|frame|75|pending
1011|fulton|north|pump|66|pending
1912|acme|west|gasket|10|paid
1506|harbor|west|sensor|71|held
1075|harbor|south|valve|92|paid
1024|fulton|east|sensor|26|pending
1608|dorian|north|pump|30|paid
1746|birch|south|rotor|23|shipped
1105|juno|north|panel|83|held
1816|harbor|west|valve|73|pending
1845|juno|west|gasket|68|held
1209|harbor|south|frame|40|paid
1601|birch|west|panel|51|held
1539|dorian|west|valve|21|shipped
1952|fulton|north|panel|82|held
1060|fulton|south|pump|96|paid
1398|acme|north|rotor|95|shipped
1949|cobalt|east|gasket|71|pending
1723|ionic|north|gasket|82|shipped
1234|fulton|south|panel|93|paid
1355|ionic|west|frame|59|pending
1594|fulton|south|frame|18|shipped
1711|ionic|west|gasket|50|pending
1382|fulton|west|sensor|94|held
1821|acme|east|cable|59|held
1859|dorian|north|cable|72|pending
1319|cobalt|north|pump|19|held
1140|acme|north|pump|95|paid
1271|ionic|south|valve|17|pending
1755|ember|east|pump|43|held
1919|harbor|west|gasket|51|pending
1432|birch|east|frame|55|shipped
1429|acme|east|valve|61|pending
1274|ionic|west|panel|96|pending
1228|ember|north|sensor|31|shipped
1869|fulton|west|rotor|46|shipped
1872|birch|south|cable|18|paid
1721|harbor|south|rotor|75|held
1374|juno|south|rotor|38|shipped
1215|juno|north|cable|85|paid
1280|fulton|south|frame|96|held
1245|birch|south|cable|66|shipped
1843|dorian|south|sensor|65|paid
1142|gale|west|panel|25|pending
1647|juno|east|frame|24|pending
1037|fulton|south|cable|20|pending
1945|ionic|west|panel|79|held
1066|acme|north|valve|65|paid
1662|gale|west|frame|72|pending
1512|acme|south|frame|64|pending
1492|juno|south|sensor|76|paid
1725|juno|south|gasket|31|paid
1938|gale|north|cable|67|pending
1939|acme|north|valve|63|pending
1070|juno|south|panel|53|pending
1291|acme|north|frame|74|held
1568|acme|west|pump|62|shipped
1415|birch|north|valve|83|held
1054|fulton|south|panel|37|pending
1852|dorian|north|valve|34|held
1888|cobalt|south|sensor|18|paid
1680|fulton|west|panel|47|paid
1341|cobalt|south|rotor|40|pending
1340|acme|west|cable|60|shipped
1204|fulton|east|rotor|31|held
1297|harbor|west|gasket|96|shipped
1368|fulton|east|gasket|60|held
1505|juno|east|frame|56|pending
1116|harbor|east|panel|90|held
1284|fulton|south|valve|66|paid
1109|acme|north|sensor|30|shipped
1607|cobalt|east|sensor|73|shipped
1084|ionic|west|valve|41|held
1121|fulton|north|gasket|39|held
1426|ember|south|pump|77|pending
1626|dorian|south|pump|43|pending
1251|fulton|north|cable|15|shipped
1345|birch|north|frame|80|shipped
1537|birch|east|gasket|14|paid
1005|fulton|south|gasket|78|pending
1664|ember|west|frame|98|pending
1824|harbor|east|panel|99|held
1838|harbor|south|sensor|29|shipped
1044|fulton|west|gasket|10|pending
1032|fulton|east|gasket|22|pending
1440|cobalt|east|pump|86|pending
1463|fulton|south|pump|26|held
1450|acme|south|valve|73|paid
1517|gale|west|cable|67|pending
1530|dorian|north|rotor|59|paid
1290|cobalt|east|pump|25|held
1372|gale|south|rotor|58|pending
1213|fulton|east|cable|74|pending
1877|gale|east|frame|22|held
1179|fulton|east|panel|27|held
1196|gale|south|panel|41|pending
1267|harbor|north|frame|50|shipped
1925|juno|east|frame|61|pending
1825|ember|south|valve|50|shipped
1786|dorian|north|cable|84|paid
1727|juno|west|valve|31|held
1588|birch|east|rotor|37|shipped
1705|acme|south|cable|35|held
1106|gale|west|cable|86|pending
1620|acme|west|cable|40|paid
1748|ionic|north|valve|88|pending
1498|harbor|south|gasket|57|shipped
1777|birch|east|frame|57|paid
1810|birch|west|pump|56|shipped
1073|birch|north|sensor|57|shipped
1982|ember|south|cable|51|shipped
1485|gale|east|rotor|36|held
1361|juno|east|panel|58|shipped
1258|birch|west|rotor|19|held
1403|juno|north|pump|91|pending
1865|cobalt|south|cable|63|pending
1715|gale|north|sensor|29|pending
1465|dorian|south|panel|45|pending
1879|dorian|west|gasket|47|pending
1316|juno|east|cable|95|pending
1631|birch|west|cable|36|held
1571|harbor|south|frame|72|pending
1445|juno|west|gasket|37|held
1655|harbor|north|pump|11|pending
1866|cobalt|south|cable|97|pending
1696|dorian|west|pump|43|pending
1572|juno|south|valve|96|pending
1298|ionic|west|valve|14|held
1240|juno|west|sensor|87|pending
1731|dorian|east|valve|29|shipped
1346|dorian|north|frame|98|shipped
1645|dorian|east|rotor|50|held
1408|birch|west|sensor|61|pending
1078|fulton|south|cable|62|held
1420|fulton|east|sensor|85|pending
1905|cobalt|east|pump|12|held
1524|juno|north|pump|63|pending
1125|juno|north|valve|34|pending
1025|fulton|south|panel|57|paid
1047|fulton|south|frame|44|held
1069|gale|north|valve|43|held
1875|harbor|north|sensor|25|held
1393|birch|south|panel|30|pending
1405|acme|east|gasket|16|paid
1351|cobalt|north|cable|70|pending
1559|ember|west|cable|58|held
1249|dorian|north|pump|54|held
1222|birch|west|pump|49|paid
1029|fulton|south|panel|13|pending
1637|acme|south|gasket|31|paid
1762|dorian|south|pump|88|pending
1279|fulton|south|panel|70|paid
1612|harbor|south|sensor|89|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, 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": 1011}},
  {"tool": "restock", "args": {"item": "frame", "qty": 96}},
  {"tool": "cancel_order", "args": {"order_id": 1037}},
  {"tool": "cancel_order", "args": {"order_id": 1054}},
  {"tool": "cancel_order", "args": {"order_id": 1055}},
  {"tool": "cancel_order", "args": {"order_id": 1280}},
  {"tool": "cancel_order", "args": {"order_id": 1306}},
  {"tool": "cancel_order", "args": {"order_id": 1426}},
  {"tool": "cancel_order", "args": {"order_id": 1463}},
  {"tool": "cancel_order", "args": {"order_id": 1582}},
  {"tool": "cancel_order", "args": {"order_id": 1612}},
  {"tool": "cancel_order", "args": {"order_id": 1626}},
  {"tool": "cancel_order", "args": {"order_id": 1664}},
  {"tool": "cancel_order", "args": {"order_id": 1696}},
  {"tool": "cancel_order", "args": {"order_id": 1715}},
  {"tool": "cancel_order", "args": {"order_id": 1762}},
  {"tool": "cancel_order", "args": {"order_id": 1865}},
  {"tool": "cancel_order", "args": {"order_id": 1866}}
]

correctagentic.tools.ledger-v1conf 100% · 118ms · $0.000 · 132 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $679
- delta: $347
- kilo: $459

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $379 from "kilo" to "tango"
2. pay $365 from "tango" to "delta"
3. pay $341 from "delta" to "tango"
4. pay $232 from "tango" to "kilo"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 379}},
  {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 365}},
  {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 341}},
  {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 232}}
]

wrongagentic.tools.ledger-v1conf 100% · 164ms · $0.000 · 188 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $179
- bravo: $289
- delta: $608

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $226 from "lima" to "bravo"
2. pay $308 from "bravo" to "lima"
3. pay $257 from "bravo" to "delta"
4. pay $502 from "delta" to "lima"
5. pay $492 from "lima" 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": "lima", "to": "bravo", "amount": 226}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 308}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 257}},
  {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 502}},
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 15}},
  {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 492}}
]

wrongagentic.tools.deploy-v1conf 100% · 98ms · $0.000 · 97 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

model answer:

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

correctagentic.tools.triage-v1conf 100% · 2.6s · $0.000 · 179 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 4)
2. "uploads failing intermittently" (category: infra, priority 4)
3. "card declined at checkout" (category: payments, priority 6)

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

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

model answer:

[
  {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
  {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
  {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 6}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}}
]

correctagentic.tools.deploy-v1conf 100% · 155ms · $0.000 · 99 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

wrongagentic.tools.context-load-v1conf 100% · 360ms · $0.000 · 322 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 (156 records, format: id|customer|region|item|qty|status):
```
1283|acme|west|frame|36|shipped
1290|birch|south|sensor|73|paid
1580|harbor|south|gasket|43|shipped
1794|harbor|west|gasket|44|shipped
1778|ember|north|sensor|18|shipped
1652|harbor|west|pump|81|held
1787|ember|west|panel|26|shipped
1301|ember|south|cable|96|shipped
1601|dorian|east|valve|19|pending
1484|cobalt|south|valve|44|held
1822|dorian|west|valve|56|held
1520|ionic|west|frame|95|pending
1615|fulton|north|cable|37|held
1433|juno|west|rotor|24|shipped
1663|fulton|north|sensor|34|held
1304|acme|west|sensor|42|held
1515|acme|south|gasket|59|shipped
1397|juno|north|cable|59|pending
1422|ionic|east|rotor|81|pending
1509|dorian|south|frame|16|held
1400|fulton|east|rotor|19|held
1645|birch|south|panel|11|held
1493|cobalt|south|sensor|37|pending
1360|ionic|south|sensor|79|held
1483|ionic|east|valve|88|held
1386|cobalt|north|rotor|46|shipped
1252|acme|north|frame|21|pending
1702|juno|south|valve|52|pending
1713|birch|east|cable|31|shipped
1693|acme|south|valve|69|paid
1586|juno|south|gasket|95|shipped
1532|juno|north|sensor|66|shipped
1462|gale|west|panel|90|pending
1678|cobalt|east|pump|60|paid
1706|ember|west|rotor|59|paid
1330|acme|south|gasket|63|pending
1496|ionic|south|pump|65|shipped
1251|acme|west|valve|30|pending
1806|harbor|west|sensor|79|pending
1275|acme|west|rotor|89|shipped
1390|dorian|south|frame|37|paid
1834|harbor|south|sensor|27|held
1503|birch|east|cable|94|held
1847|ionic|south|panel|72|pending
1375|acme|west|frame|52|pending
1423|juno|west|frame|28|pending
1261|acme|west|rotor|66|pending
1744|dorian|east|gasket|42|shipped
1296|ionic|south|valve|26|held
1622|juno|west|panel|97|held
1440|dorian|south|valve|80|shipped
1579|gale|west|pump|48|shipped
1785|acme|north|pump|77|pending
1851|ember|south|sensor|50|paid
1670|acme|west|rotor|90|pending
1772|birch|west|sensor|58|paid
1445|fulton|south|panel|37|shipped
1815|dorian|south|cable|24|shipped
1624|fulton|south|gasket|74|paid
1661|acme|south|sensor|95|shipped
1284|fulton|east|sensor|71|held
1571|harbor|south|panel|94|paid
1687|dorian|south|cable|65|paid
1340|ember|south|pump|66|paid
1552|dorian|west|rotor|63|held
1619|fulton|south|rotor|16|held
1534|harbor|north|cable|65|pending
1531|dorian|east|valve|85|shipped
1840|ionic|south|gasket|17|pending
1781|ionic|south|frame|15|shipped
1411|harbor|north|panel|96|paid
1636|cobalt|west|pump|20|held
1417|cobalt|east|sensor|74|pending
1657|harbor|north|sensor|79|held
1356|harbor|south|pump|22|shipped
1599|ember|west|pump|37|paid
1541|acme|east|valve|62|paid
1477|harbor|south|cable|77|shipped
1698|gale|north|pump|12|pending
1257|acme|west|gasket|81|held
1404|juno|west|valve|24|shipped
1476|ember|east|sensor|95|held
1557|acme|south|frame|36|paid
1688|cobalt|south|valve|51|held
1516|acme|east|rotor|98|held
1811|harbor|south|cable|79|held
1528|ionic|north|frame|94|paid
1407|cobalt|north|panel|46|held
1431|ember|south|sensor|35|pending
1737|ember|east|gasket|72|held
1452|cobalt|north|cable|98|paid
1471|cobalt|south|valve|11|paid
1738|cobalt|north|cable|61|paid
1332|fulton|east|valve|87|paid
1271|acme|west|rotor|45|pending
1366|ionic|east|sensor|13|shipped
1655|dorian|east|sensor|67|shipped
1276|acme|west|rotor|38|pending
1801|fulton|south|valve|32|shipped
1536|juno|south|gasket|91|shipped
1272|acme|south|gasket|37|pending
1458|gale|north|rotor|99|held
1733|dorian|east|cable|80|paid
1761|gale|east|sensor|41|pending
1450|acme|south|frame|68|shipped
1676|birch|east|valve|71|shipped
1572|gale|north|rotor|11|shipped
1323|ember|west|pump|59|paid
1487|fulton|north|sensor|56|shipped
1522|ionic|east|cable|89|held
1320|ionic|east|cable|16|held
1585|gale|east|pump|90|pending
1350|juno|south|cable|60|shipped
1563|harbor|west|valve|98|pending
1658|juno|west|valve|94|shipped
1755|harbor|south|sensor|35|shipped
1608|fulton|south|cable|84|paid
1328|acme|west|cable|14|paid
1429|ember|west|rotor|58|shipped
1827|birch|north|pump|88|held
1832|cobalt|east|valve|93|paid
1553|gale|north|valve|23|pending
1566|gale|south|cable|60|paid
1837|juno|east|sensor|79|pending
1343|fulton|north|rotor|57|held
1727|harbor|south|sensor|30|held
1443|fulton|east|frame|91|shipped
1718|juno|south|panel|73|shipped
1593|ionic|north|sensor|97|pending
1638|gale|west|pump|60|paid
1768|juno|north|sensor|16|held
1836|harbor|north|gasket|26|pending
1337|acme|east|cable|50|shipped
1464|juno|east|panel|36|held
1684|acme|south|frame|32|pending
1721|gale|east|pump|80|pending
1754|fulton|north|rotor|73|pending
1708|ionic|west|cable|81|shipped
1381|ionic|north|cable|83|shipped
1750|harbor|east|cable|87|shipped
1268|acme|east|rotor|76|pending
1311|acme|west|pump|65|pending
1421|harbor|north|frame|17|paid
1631|acme|west|sensor|33|held
1644|gale|east|pump|24|pending
1270|acme|west|pump|52|paid
1314|fulton|west|rotor|71|shipped
1710|birch|west|frame|96|held
1279|acme|east|sensor|22|pending
1628|juno|west|cable|79|paid
1682|birch|east|valve|51|pending
1545|juno|north|valve|24|shipped
1814|acme|east|panel|52|paid
1720|gale|north|frame|31|paid
1504|ionic|south|rotor|31|paid
1373|gale|south|panel|69|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, 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": 1252}},
  {"tool": "restock", "args": {"item": "frame", "qty": 52}},
  {"tool": "cancel_order", "args": {"order_id": 1261}},
  {"tool": "cancel_order", "args": {"order_id": 1270}},
  {"tool": "cancel_order", "args": {"order_id": 1271}},
  {"tool": "cancel_order", "args": {"order_id": 1276}},
  {"tool": "cancel_order", "args": {"order_id": 1311}},
  {"tool": "cancel_order", "args": {"order_id": 1375}},
  {"tool": "cancel_order", "args": {"order_id": 1423}},
  {"tool": "cancel_order", "args": {"order_id": 1563}},
  {"tool": "cancel_order", "args": {"order_id": 1631}},
  {"tool": "cancel_order", "args": {"order_id": 1670}},
  {"tool": "cancel_order", "args": {"order_id": 1684}},
  {"tool": "cancel_order", "args": {"order_id": 1785}},
  {"tool": "cancel_order", "args": {"order_id": 1806}},
  {"tool": "cancel_order", "args": {"order_id": 1836}}
]

wrongagentic.tools.triage-v1conf 100% · 4.2s · $0.000 · 177 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "API latency spikes" (category: infra, priority 4)
2. "API latency spikes" (category: infra, priority 4)
3. "SSO loop on login" (category: auth, priority 4)

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

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

model answer:

[
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
  {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}
]

wrongagentic.tools.context-load-v1conf 100% · 305ms · $0.001 · 361 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 (280 records, format: id|customer|region|item|qty|status):
```
2123|cobalt|south|panel|51|pending
1835|harbor|south|pump|31|paid
1799|harbor|east|panel|39|pending
1525|gale|north|frame|74|held
1295|acme|north|valve|40|pending
1367|fulton|north|valve|97|pending
1460|gale|south|gasket|78|held
2230|dorian|north|valve|29|pending
2412|harbor|south|valve|48|paid
1937|gale|south|panel|38|held
1429|birch|east|pump|18|pending
1575|ionic|north|panel|49|held
1719|ember|west|pump|64|held
2056|harbor|north|sensor|70|held
1585|cobalt|west|sensor|91|pending
1698|gale|north|frame|83|pending
1563|acme|east|valve|57|held
2172|gale|north|panel|51|pending
1689|acme|north|pump|34|shipped
1929|juno|south|valve|61|pending
1768|harbor|south|panel|96|pending
1529|acme|east|rotor|62|held
1413|birch|east|cable|36|held
1338|acme|east|sensor|18|paid
1340|acme|east|cable|68|pending
1893|juno|east|pump|15|pending
2008|ionic|west|cable|87|shipped
1856|acme|west|gasket|31|held
2273|juno|east|frame|84|pending
2073|acme|north|cable|36|held
1809|gale|west|pump|88|pending
2393|ionic|west|frame|62|paid
1842|juno|east|cable|43|paid
2109|cobalt|south|sensor|92|paid
2087|fulton|south|frame|19|held
1389|birch|south|pump|45|paid
1516|juno|south|rotor|30|paid
2180|birch|east|valve|82|pending
2281|birch|west|rotor|57|paid
1332|acme|east|sensor|73|pending
1618|fulton|south|valve|66|pending
2251|harbor|south|sensor|94|pending
1832|birch|north|pump|98|paid
2270|juno|west|pump|73|paid
1578|ionic|east|rotor|27|held
1667|harbor|east|gasket|13|held
1798|dorian|north|sensor|66|paid
1399|ionic|north|pump|21|shipped
2380|gale|north|rotor|15|shipped
2140|birch|west|panel|82|pending
1419|acme|east|pump|58|shipped
1806|cobalt|south|pump|95|paid
1438|acme|north|frame|63|paid
1664|harbor|east|pump|84|paid
1824|ionic|west|panel|11|shipped
2039|juno|east|gasket|27|held
2338|fulton|south|sensor|20|held
1557|ember|east|gasket|40|pending
1501|gale|east|cable|25|paid
2098|dorian|south|panel|35|paid
2221|juno|north|pump|63|paid
1933|ionic|north|valve|67|held
1609|birch|south|pump|73|shipped
2000|fulton|west|cable|81|held
1709|ember|east|frame|57|held
1470|cobalt|north|panel|42|paid
1633|gale|north|sensor|91|paid
2054|ionic|south|cable|85|pending
1921|juno|east|cable|21|held
2331|juno|south|gasket|62|shipped
1663|juno|west|gasket|36|shipped
1733|harbor|east|gasket|37|shipped
1424|dorian|north|pump|90|held
1771|dorian|south|valve|91|held
2370|harbor|west|panel|71|shipped
1467|juno|west|cable|73|pending
1456|harbor|south|pump|96|held
2146|ember|west|rotor|19|paid
1314|acme|east|pump|30|paid
1805|fulton|east|gasket|97|pending
2204|acme|west|rotor|91|paid
2042|juno|east|panel|36|pending
2066|ionic|north|frame|94|shipped
1483|ember|south|pump|89|shipped
1488|cobalt|north|gasket|91|paid
1494|gale|west|panel|70|paid
1381|ionic|east|sensor|32|pending
2301|birch|south|sensor|60|pending
2018|acme|north|rotor|32|pending
1450|acme|south|valve|10|shipped
2094|harbor|south|rotor|25|pending
2242|acme|south|gasket|36|pending
1311|acme|west|pump|35|pending
2159|acme|south|sensor|61|shipped
1499|gale|north|sensor|96|paid
2162|ionic|east|panel|88|shipped
2031|harbor|north|sensor|42|shipped
2258|dorian|east|rotor|81|paid
1676|ionic|south|sensor|93|held
2347|harbor|west|pump|74|shipped
1968|ionic|south|pump|95|shipped
1599|ionic|west|panel|39|held
2303|gale|south|pump|22|held
1789|harbor|east|cable|35|held
1714|ember|north|pump|23|held
2076|harbor|north|panel|74|held
2151|gale|east|valve|64|pending
1540|dorian|east|gasket|55|shipped
1651|juno|east|panel|25|shipped
2252|gale|north|frame|97|shipped
1554|acme|east|gasket|22|shipped
1433|birch|east|pump|93|shipped
1982|ionic|south|valve|65|held
1546|juno|north|rotor|78|paid
1445|acme|east|sensor|36|paid
2225|fulton|south|frame|47|pending
2157|fulton|west|sensor|64|paid
1976|ionic|west|sensor|21|pending
1705|ionic|west|pump|85|held
1659|birch|north|frame|41|paid
1431|gale|north|pump|24|shipped
1955|acme|south|pump|98|paid
1820|birch|west|frame|43|paid
1914|fulton|south|cable|38|shipped
2134|cobalt|south|panel|30|pending
1851|harbor|north|pump|28|pending
2399|birch|east|frame|43|pending
2356|dorian|west|sensor|99|held
2187|dorian|west|panel|12|held
2067|juno|east|panel|55|shipped
2212|ember|west|pump|14|shipped
1745|acme|west|pump|60|pending
2047|dorian|south|panel|87|held
2108|fulton|north|frame|36|paid
1731|cobalt|south|sensor|62|paid
1748|acme|west|sensor|20|shipped
2103|harbor|north|sensor|20|shipped
1890|gale|south|gasket|66|shipped
1986|gale|north|pump|96|paid
1872|ember|north|sensor|46|pending
2319|juno|north|valve|93|shipped
1948|fulton|north|gasket|45|held
1728|cobalt|north|panel|46|paid
1995|dorian|west|pump|97|paid
1763|ember|south|sensor|21|paid
1570|harbor|north|valve|76|pending
1775|ember|north|panel|16|held
2305|gale|west|frame|42|shipped
1951|acme|north|pump|91|held
1753|harbor|north|gasket|34|paid
1725|harbor|east|sensor|14|shipped
2198|dorian|east|sensor|99|paid
2025|juno|north|pump|24|pending
2387|dorian|east|rotor|82|held
1871|ember|west|cable|83|pending
1640|ember|south|pump|58|pending
2377|birch|south|cable|58|pending
1758|cobalt|east|panel|64|paid
2247|fulton|west|rotor|51|paid
2161|juno|east|sensor|73|pending
1963|ionic|south|frame|39|shipped
2389|ember|east|pump|67|paid
1624|juno|east|gasket|77|pending
1845|ember|west|rotor|81|shipped
1644|cobalt|south|valve|86|held
1318|acme|east|rotor|91|pending
1600|birch|east|rotor|69|held
1704|fulton|north|panel|78|held
1904|fulton|east|panel|93|held
1911|harbor|north|valve|87|paid
1533|ionic|west|cable|95|shipped
2214|dorian|north|pump|30|pending
1627|acme|south|gasket|57|pending
1993|harbor|south|pump|24|paid
1736|birch|north|gasket|58|shipped
1382|fulton|east|cable|59|pending
2373|ionic|north|frame|91|held
1495|ember|east|panel|58|shipped
1693|harbor|north|pump|50|held
1606|ember|north|frame|57|paid
2375|gale|east|frame|51|pending
1565|birch|east|cable|61|pending
1992|dorian|north|panel|73|held
1991|ionic|east|cable|11|held
1441|birch|east|panel|10|shipped
2264|ember|south|panel|99|paid
1816|ember|east|gasket|96|held
2191|gale|north|gasket|27|shipped
2165|birch|north|panel|13|paid
2367|gale|north|pump|43|shipped
2229|acme|west|panel|66|shipped
1782|harbor|south|cable|82|pending
1509|gale|west|cable|18|pending
2297|ember|north|panel|49|shipped
2284|acme|east|rotor|27|held
1962|fulton|east|frame|24|paid
1737|dorian|south|rotor|67|paid
1304|acme|east|cable|51|pending
1476|ember|north|valve|54|pending
1297|acme|east|sensor|80|paid
1742|gale|north|panel|98|pending
1767|gale|south|frame|66|pending
2354|acme|east|panel|17|held
2236|cobalt|north|sensor|87|held
2084|acme|south|valve|43|pending
1772|gale|north|rotor|98|shipped
1915|juno|north|cable|55|paid
1674|fulton|north|panel|50|held
2083|juno|south|cable|44|shipped
1936|gale|east|rotor|41|shipped
1869|cobalt|north|pump|17|pending
1548|birch|south|sensor|29|shipped
2145|ember|north|cable|41|held
2294|harbor|east|pump|34|held
1616|juno|west|valve|98|shipped
1335|acme|north|panel|40|pending
1657|dorian|north|rotor|24|paid
1683|cobalt|south|frame|74|paid
1347|acme|south|pump|96|pending
1850|harbor|west|pump|73|paid
2012|ionic|south|cable|60|pending
2265|ember|north|gasket|15|pending
1292|acme|east|valve|31|pending
1943|ember|south|rotor|20|held
1920|dorian|south|gasket|33|paid
1362|harbor|north|frame|68|pending
1396|birch|south|sensor|79|held
1421|cobalt|south|valve|47|pending
2004|dorian|east|cable|66|pending
2033|juno|north|gasket|50|paid
2406|fulton|east|pump|90|held
2345|birch|north|sensor|36|paid
1410|fulton|east|rotor|68|held
1325|acme|east|sensor|98|shipped
2362|ionic|west|sensor|36|shipped
1923|dorian|north|cable|74|paid
1861|juno|east|panel|36|paid
1884|birch|south|sensor|63|held
2346|fulton|south|sensor|21|shipped
1437|acme|east|valve|58|shipped
1590|gale|east|valve|56|held
1686|harbor|west|pump|71|shipped
1865|birch|west|frame|17|paid
2174|ember|north|rotor|17|shipped
1503|fulton|north|panel|68|shipped
1879|acme|west|panel|65|pending
1687|dorian|east|sensor|27|paid
1966|fulton|north|valve|13|paid
1373|dorian|south|rotor|28|pending
2116|birch|north|rotor|19|held
1350|acme|east|valve|21|shipped
1377|birch|south|sensor|15|held
1899|ionic|east|frame|23|pending
2235|ionic|south|sensor|31|paid
2364|birch|north|sensor|93|held
2287|juno|north|cable|94|held
2315|ember|south|valve|85|paid
1642|ionic|east|gasket|75|pending
2205|dorian|west|pump|50|shipped
2324|birch|south|pump|24|held
2063|gale|north|panel|85|paid
2127|juno|west|sensor|81|paid
1972|gale|west|sensor|53|pending
2257|ionic|east|valve|83|paid
2405|birch|north|valve|61|pending
1791|cobalt|east|rotor|92|pending
1818|ionic|north|sensor|60|shipped
1352|birch|north|valve|23|shipped
1518|acme|south|valve|34|shipped
1407|harbor|west|valve|76|paid
2055|ember|east|pump|42|shipped
2309|acme|east|pump|48|shipped
1357|birch|north|cable|31|shipped
2280|birch|south|valve|81|shipped
1322|acme|south|panel|27|pending
1592|harbor|east|frame|84|held
1403|ionic|north|cable|51|pending
1830|juno|east|valve|99|held
2339|cobalt|west|valve|88|pending
2325|birch|west|rotor|49|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, 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": 1295}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 62}},
  {"tool": "cancel_order", "args": {"order_id": 1304}},
  {"tool": "cancel_order", "args": {"order_id": 1311}},
  {"tool": "cancel_order", "args": {"order_id": 1382}},
  {"tool": "cancel_order", "args": {"order_id": 1429}},
  {"tool": "cancel_order", "args": {"order_id": 1563}},
  {"tool": "cancel_order", "args": {"order_id": 1618}},
  {"tool": "cancel_order", "args": {"order_id": 1627}},
  {"tool": "cancel_order", "args": {"order_id": 1745}},
  {"tool": "cancel_order", "args": {"order_id": 1871}},
  {"tool": "cancel_order", "args": {"order_id": 1893}},
  {"tool": "cancel_order", "args": {"order_id": 2012}},
  {"tool": "cancel_order", "args": {"order_id": 2047}},
  {"tool": "cancel_order", "args": {"order_id": 2151}},
  {"tool": "cancel_order", "args": {"order_id": 2180}},
  {"tool": "cancel_order", "args": {"order_id": 2242}},
  {"tool": "cancel_order", "args": {"order_id": 2281}}
]

correctagentic.tools.deploy-v1conf 100% · 269ms · $0.000 · 97 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, notifier
- billing: (none)
- notifier: billing
- reports: billing, notifier

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

correctagentic.tools.triage-v1conf 100% · 182ms · $0.000 · 296 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "card declined at checkout" (category: payments, priority 8)
3. "SSO loop on login" (category: auth, priority 9)
4. "card declined at checkout" (category: payments, 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": "uploads failing intermittently", "priority": 8}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
  {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 8}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
  {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 9}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}},
  {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 8}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]

wrongagentic.tools.ledger-v1conf 100% · 360ms · $0.000 · 134 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $665
- kilo: $144
- tango: $522

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $535 from "bravo" to "tango"
2. pay $488 from "bravo" to "tango"
3. pay $127 from "kilo" to "bravo"
4. pay $463 from "kilo" to "tango"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 535}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 488}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 127}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 463}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 207ms · $0.000 · 133 tok

model answer:

[
  {"tool": "cancel_order", "args": {"order_id": 1394}},
  {"tool": "restock", "args": {"item": "gasket", "qty": 60}},
  {"tool": "cancel_order", "args": {"order_id": 1578}},
  {"tool": "cancel_order", "args": {"order_id": 1658}},
  {"tool": "cancel_order", "args": {"order_id": 1682}},
  {"tool": "cancel_order", "args": {"order_id": 1878}}
]

wrongagentic.tools.triage-v1anchorconf 100% · 166ms · $0.000 · 271 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"}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}
]

correctagentic.tools.deploy-v1anchorconf 100% · 367ms · $0.000 · 98 tok

model answer:

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

wrongagentic.tools.ledger-v1anchorconf 100% · 212ms · $0.000 · 185 tok

model answer:

[
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
  {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 229}},
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
  {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]

code 15/30 correct

wrongcode.trace.nested-v1conf 100% · 131ms · $0.000 · 1102 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) % 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: 32

correctcode.trace.js-v1conf 100% · 123ms · $0.000 · 272 tok

question

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

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 50

wrongcode.trace.nested-v1conf 100% · 120ms · $0.001 · 1801 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 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: 41

wrongcode.trace.python-v1conf 100% · 162ms · $0.000 · 897 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 5
while total + v <= 66:
    if v % 6 != 0:
        total += v
    v += 8
print(total)
```

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

model answer: 84

TimeoutError: The operation was aborted due to timeoutcode.trace.js-v1conf — · — · — · — 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];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: (none extracted)

wrongcode.trace.js-v1conf 100% · 426ms · $0.000 · 291 tok

question

What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18];
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: 234

wrongcode.trace.nested-v1conf 100% · 130ms · $0.000 · 1129 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, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

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

model answer: 130

correctcode.trace.python-v1conf 100% · 197ms · $0.000 · 440 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 11
while total + v <= 93:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

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

model answer: 65

correctcode.trace.js-v1conf 100% · 315ms · $0.000 · 278 tok

question

What does this JavaScript program log?

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

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

model answer: 175

correctcode.trace.python-v1conf 100% · 164ms · $0.000 · 371 tok

question

What does this Python program print?

```python
total = 0
v = 7
while total + v <= 37:
    if v % 7 != 0:
        total += v
    v += 8
print(total)
```

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

model answer: 15

correctcode.trace.nested-v1conf 100% · 193ms · $0.000 · 821 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) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

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

model answer: 140

correctcode.trace.python-v1conf 100% · 157ms · $0.000 · 573 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 119:
    if v % 5 != 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: 105

correctcode.trace.nested-v1conf 100% · 176ms · $0.000 · 799 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 * 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: 84

correctcode.trace.js-v1conf 100% · 365ms · $0.000 · 265 tok

question

What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 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: 432

correctcode.trace.nested-v1conf 100% · 104ms · $0.000 · 1212 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, 7):
        if j == 5 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: 80

wrongcode.trace.python-v1conf 100% · 100ms · $0.000 · 407 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 71:
    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

wrongcode.trace.nested-v1conf 100% · 159ms · $0.001 · 1609 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 328

wrongcode.trace.js-v1conf 100% · 100ms · $0.000 · 441 tok

question

What does this JavaScript program log?

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16];
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: 564

wrongcode.trace.python-v1conf 100% · 109ms · $0.000 · 712 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 57:
    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: 44

wrongcode.trace.nested-v1conf 100% · 163ms · $0.000 · 901 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) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

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

model answer: 176

correctcode.trace.js-v1conf 100% · 222ms · $0.000 · 345 tok

question

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

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

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

model answer: 468

wrongcode.trace.python-v1conf 100% · 184ms · $0.000 · 606 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 12
while total + v <= 56:
    if v % 4 != 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: 63

wrongcode.trace.js-v1conf 100% · 269ms · $0.000 · 477 tok

question

What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 135

correctcode.trace.python-v1conf 100% · 128ms · $0.000 · 732 tok

question

What does this Python program print?

```python
total = 0
v = 12
while total + v <= 70:
    if v % 3 != 0:
        total += v
    v += 7
print(total)
```

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

model answer: 45

wrongcode.trace.nested-v1conf 100% · 131ms · $0.000 · 1316 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: 129

correctcode.trace.js-v1conf 100% · 290ms · $0.000 · 401 tok

question

What does this JavaScript program log?

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18];
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: 858

correctcode.trace.python-v1anchorconf 100% · 106ms · $0.000 · 654 tok

model answer: 0

wrongcode.trace.nested-v1anchorconf 100% · 197ms · $0.000 · 1157 tok

model answer: 31

correctcode.trace.js-v1anchorconf 100% · 109ms · $0.000 · 241 tok

model answer: 63

correctcode.trace.python-v1anchorconf 100% · 182ms · $0.000 · 378 tok

model answer: 40

instruction following 17/30 correct

correctif.format.repeat-v1conf 100% · 123ms · $0.000 · 42 tok

question

Write the word "orbit" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

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

model answer: orbit-orbit-orbit-orbit-orbit-orbit-orbit-orbit

wrongif.constraints.stack-v1conf 100% · 176ms · $0.000 · 48 tok

question

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

Give the text itself as your answer.

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

model answer: lumen soft ember glow warm ember light ember fades to silent winter morning misty air drift

wrongif.format.acronym-v1conf 100% · 92ms · $0.000 · 107 tok

question

Take the third letter of each of these words, in order: delta, orbit, zephyr, 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: LBPA

correctif.format.acronym-v1conf 100% · 202ms · $0.000 · 71 tok

question

Take the second letter of each of these words, in order: delta, ember, zephyr, 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: EMEE

correctif.format.repeat-v1conf 100% · 694ms · $0.000 · 48 tok

question

Write the word "tundra" in uppercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

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

model answer: TUNDRA_TUNDRA_TUNDRA_TUNDRA_TUNDRA_TUNDRA

wrongif.constraints.stack-v1conf 100% · 205ms · $0.000 · 49 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "comet" and the last word must be "drift".
3. Use the word "orbit" 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: comet enters orbit and orbit then orbit to slowly start to gently move and fade into space drift

wrongif.constraints.stack-v1conf 100% · 171ms · $0.000 · 40 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "tundra" and the last word must be "orbit".
3. Use the word "cedar" 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 cold cedar mornings have cedar scent and cedar trees in silent orbit

correctif.format.acronym-v1conf 100% · 138ms · $0.000 · 48 tok

question

Take the first letter of each of these words, in order: nova, echo, ember, drift, orbit, 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: NEEDOZ

correctif.format.repeat-v1conf 100% · 135ms · $0.000 · 43 tok

question

Write the word "comet" in lowercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: comet/comet/comet/comet/comet/comet/comet/comet

wrongif.constraints.stack-v1conf 100% · 210ms · $0.000 · 36 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 "delta" and the last word must be "quartz".
3. Use the word "drift" 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: delta city lights drift slowly drift through streets drift to calm quartz

correctif.format.acronym-v1conf 100% · 109ms · $0.000 · 66 tok

question

Take the first letter of each of these words, in order: delta, orbit, comet, falcon, 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: DOCFE

correctif.format.repeat-v1conf 100% · 99ms · $0.000 · 28 tok

question

Write the word "lumen" 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: lumen_lumen_lumen_lumen

wrongif.format.acronym-v1conf 100% · 147ms · $0.000 · 86 tok

question

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

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

model answer: OEAUM

correctif.format.acronym-v1conf 100% · 110ms · $0.000 · 40 tok

question

Take the first letter of each of these words, in order: falcon, comet, quartz, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: FCQL

wrongif.constraints.stack-v1conf 100% · 135ms · $0.000 · 49 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "comet" and the last word must be "quartz".
3. Use the word "cedar" 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: comet slowly passes cedar and cedar trees near calm ocean waters flowing gently over smooth cool white quartz

correctif.format.repeat-v1conf 100% · 172ms · $0.000 · 34 tok

question

Write the word "basalt" 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: basalt_basalt_basalt_basalt

wrongif.constraints.stack-v1conf 100% · 428ms · $0.000 · 54 tok

question

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

Give the text itself as your answer.

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

model answer: nova city lights shine bright on tundra and cold tundra streets at night with soft gentle warm lumen

wrongif.format.acronym-v1conf 100% · 98ms · $0.000 · 74 tok

question

Take the third letter of each of these words, in order: orbit, nova, ember, zephyr, flint, 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: BVMPI

correctif.format.repeat-v1conf 100% · 147ms · $0.000 · 47 tok

question

Write the word "cedar" in capitalized form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

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

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

wrongif.constraints.stack-v1conf 100% · 121ms · $0.000 · 52 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "delta" and the last word must be "flint".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: delta winter mornings bring frost to the tundra and cold tundra air every day to spark flint

correctif.format.repeat-v1conf 100% · 136ms · $0.000 · 38 tok

question

Write the word "ember" in lowercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: ember/ember/ember/ember/ember/ember/ember

correctif.format.acronym-v1conf 100% · 97ms · $0.000 · 69 tok

question

Take the second letter of each of these words, in order: tundra, drift, orbit, quartz, 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: URRUM

wrongif.constraints.stack-v1conf 100% · 159ms · $0.000 · 49 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 "cedar" and the last word must be "orbit".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: cedar streets shine through prism at night with prism lights reflecting off prism in a beautiful gentle orbit

correctif.format.acronym-v1conf 100% · 309ms · $0.000 · 95 tok

question

Take the third letter of each of these words, in order: lumen, nova, cedar, flint, 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: MVDII

correctif.format.repeat-v1conf 100% · 416ms · $0.000 · 24 tok

question

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

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

model answer: ECHO-ECHO-ECHO

wrongif.constraints.stack-v1conf 100% · 174ms · $0.000 · 63 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "quartz" and the last word must be "zephyr".
3. Use the word "lumen" 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: quartz soft lumen fills the sea with gentle lumen light under calm peaceful morning air that blows like a soft zephyr

correctif.format.repeat-v1anchorconf 100% · 558ms · $0.000 · 44 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

correctif.format.repeat-v1anchorconf 100% · 166ms · $0.000 · 60 tok

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

wrongif.constraints.stack-v1anchorconf 100% · 118ms · $0.000 · 49 tok

model answer: drift into city night with soft lumen gentle lumen warm lumen glow in silent orbit

correctif.format.acronym-v1anchorconf 100% · 140ms · $0.000 · 61 tok

model answer: ZDFQ

knowledge 30/30 correct

correctknowledge.fr.factbank-v2conf 100% · 107ms · $0.000 · 16 tok

question

Identify the chemical element with symbol K.

Answer with the name only — no explanation.

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

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 220ms · $0.000 · 25 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% · 96ms · $0.000 · 21 tok

question

Identify the Burmese capital city.

Answer with the name only — no explanation.

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

model answer: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 311ms · $0.000 · 16 tok

question

Name the Kazakh capital city.

Answer with the name only — no explanation.

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

model answer: Astana

correctknowledge.fr.factbank-v2conf 100% · 218ms · $0.000 · 18 tok

question

What is the chemical element with symbol W?

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 158ms · $0.000 · 15 tok

question

Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 205ms · $0.000 · 15 tok

question

Name 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% · 208ms · $0.000 · 23 tok

question

Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

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

model answer: Chinua Achebe

correctknowledge.fr.factbank-v2conf 100% · 196ms · $0.000 · 15 tok

question

Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 119ms · $0.000 · 15 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

correctknowledge.fr.factbank-v2conf 100% · 96ms · $0.000 · 16 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% · 125ms · $0.000 · 15 tok

question

Identify the element whose symbol is Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 187ms · $0.000 · 15 tok

question

What is the chemical element with symbol Sn?

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 12 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% · 445ms · $0.000 · 15 tok

question

What is the chemical element with symbol Sn?

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 123ms · $0.000 · 15 tok

question

Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 108ms · $0.000 · 15 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

correctknowledge.fr.factbank-v2conf 100% · 324ms · $0.000 · 17 tok

question

What is 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% · 882ms · $0.000 · 12 tok

question

What is the capital of Australia?

Answer with the name only — no explanation.

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

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 112ms · $0.000 · 14 tok

question

Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

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

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 229ms · $0.000 · 18 tok

question

Name the chemical element with symbol W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 175ms · $0.000 · 16 tok

question

Identify the Kazakh capital city.

Answer with the name only — no explanation.

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

model answer: Astana

correctknowledge.fr.factbank-v2conf 100% · 835ms · $0.000 · 18 tok

question

Name the chemical element with symbol W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 113ms · $0.000 · 12 tok

question

What is the Turkish capital city?

Answer with the name only — no explanation.

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

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 141ms · $0.000 · 14 tok

question

Name the element whose symbol is Pb.

Answer with the name only — no explanation.

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

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 123ms · $0.000 · 16 tok

question

Name the Canadian capital city.

Answer with the name only — no explanation.

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

model answer: Ottawa

correctknowledge.fr.factbank-v2anchorconf 100% · 181ms · $0.000 · 15 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 223ms · $0.000 · 16 tok

model answer: Antimony

correctknowledge.fr.factbank-v2anchorconf 100% · 170ms · $0.000 · 18 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 123ms · $0.000 · 14 tok

model answer: Lead

math 17/30 correct

correctmath.counterfactual.base-v1conf 100% · 950ms · $0.000 · 240 tok

question

Work strictly in base 11. Add the base-11 numbers 2218 and 247. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

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

model answer: 2464

correctmath.chained.pipeline-v1conf 100% · 146ms · $0.000 · 140 tok

question

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

Step 1: P = 40 × 66.
Step 2: Q = P × 5 − 577.
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: 2527

wrongmath.percent.chain-v2conf 100% · 156ms · $0.000 · 184 tok

question

An inventory starts at 3000 units. The warehouse was painted 32 years ago. In the first month the inventory grows by 5%. The warehouse was painted 148 years ago. The next month it shrinks by 15%, and the month after it grows by 34%. 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: 3587.35

correctmath.algebra.system-v2conf 100% · 105ms · $0.000 · 289 tok

question

Solve the system, then answer the derived question.

8x + 3y = 243
3x − 8y = 82

What is the value of 3x − 2y?

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

model answer: 88

correctmath.chained.pipeline-v1conf 100% · 110ms · $0.000 · 144 tok

question

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

Step 1: P = 16 × 44.
Step 2: Q = P × 5 − 469.
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: 441

wrongmath.counterfactual.base-v1conf 100% · 167ms · $0.000 · 535 tok

question

Work strictly in base 13. Multiply the base-13 numbers 15 and 34. 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: 4A9

correctmath.arith.chain-v2conf 100% · 104ms · $0.000 · 212 tok

question

Calculate the following. Show your reasoning, then answer.

(((92 × 95 − 525) × 5 + 3683) − 41 × 93) × 6

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

model answer: 245670

wrongmath.percent.chain-v2conf 100% · 131ms · $0.000 · 286 tok

question

An inventory starts at 96000 units. The company was founded 174 kilometers from the port. In the first month the inventory grows by 7%. The company was founded 34 kilometers from the port. The next month it shrinks by 32%, and the month after it grows by 29%. 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: 90167.18

wrongmath.chained.pipeline-v1conf 100% · 196ms · $0.000 · 166 tok

question

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

Step 1: P = 50 × 84.
Step 2: Q = P × 6 − 161.
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: 3619

correctmath.algebra.system-v2conf 100% · 502ms · $0.000 · 360 tok

question

Solve the system, then answer the derived question.

5x + 8y = -375
6x − 2y = 14

What is the value of 2x − 6y?

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

model answer: 218

correctmath.arith.chain-v2conf 100% · 844ms · $0.000 · 178 tok

question

Calculate the following. Show your reasoning, then answer.

(((68 × 87 − 559) × 8 + 8037) − 73 × 80) × 3

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

model answer: 135159

wrongmath.counterfactual.base-v1conf 100% · 768ms · $0.000 · 167 tok

question

Work strictly in base 13. Add the base-13 numbers 52A and 16A. 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: 68C

correctmath.algebra.system-v2conf 100% · 100ms · $0.000 · 286 tok

question

Solve the system, then answer the derived question.

9x + 6y = 123
6x − 2y = 4

What is the value of 2x − 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: -42

correctmath.arith.chain-v2conf 100% · 168ms · $0.000 · 178 tok

question

Calculate the following. Show your reasoning, then answer.

(((27 × 74 − 934) × 6 + 2866) − 25 × 61) × 3

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

model answer: 23175

wrongmath.percent.chain-v2conf — · 108ms · $0.000 · 3 tok

question

An inventory starts at 84000 units. The company was founded 17 kilometers from the port. In the first month the inventory grows by 35%. The company was founded 100 kilometers from the port. The next month it shrinks by 34%, and the month after it grows by 13%. 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.chained.pipeline-v1conf 100% · 111ms · $0.000 · 149 tok

question

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

Step 1: P = 83 × 50.
Step 2: Q = P × 5 − 222.
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: 2566

wrongmath.counterfactual.base-v1conf 100% · 103ms · $0.000 · 571 tok

question

Work strictly in base 8. Add the base-8 numbers 4104 and 570. 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: 4774

correctmath.percent.chain-v2conf 100% · 154ms · $0.000 · 227 tok

question

An inventory starts at 65000 units. The delivery van has a 45-liter fuel tank. In the first month the inventory grows by 40%. A rival firm shipped 84 unrelated parcels the same week. The next month it shrinks by 24%, and the month after it grows by 13%. 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: 78150.80

wrongmath.chained.pipeline-v1conf 100% · 2.0s · $0.000 · 158 tok

question

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

Step 1: P = 80 × 51.
Step 2: Q = P × 9 − 255.
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: 4553

correctmath.arith.chain-v2conf 100% · 581ms · $0.000 · 200 tok

question

Compute the value of the following expression.

(((33 × 34 − 650) × 8 + 3831) − 77 × 86) × 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: 4925

correctmath.algebra.system-v2conf 100% · 325ms · $0.000 · 317 tok

question

Solve the system, then answer the derived question.

2x + 8y = -18
6x − 7y = 256

What is the value of 5x − 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: 195

wrongmath.counterfactual.base-v1anchorconf 100% · 111ms · $0.000 · 847 tok

model answer: 12606

wrongmath.counterfactual.base-v1conf 100% · 193ms · $0.000 · 136 tok

question

Work strictly in base 13. Multiply the base-13 numbers 13 and 10. 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: 100

wrongmath.percent.chain-v2conf 100% · 175ms · $0.000 · 252 tok

question

An inventory starts at 58000 units. The delivery van has a 52-liter fuel tank. In the first month the inventory grows by 30%. A rival firm shipped 46 unrelated parcels the same week. The next month it shrinks by 31%, and the month after it grows by 10%. 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: 57206.60

wrongmath.algebra.system-v2conf 98% · 582ms · $0.000 · 271 tok

question

Solve the system, then answer the derived question.

4x + 9y = -231
9x − 4y = 426

What is the value of 6x − 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: 412

correctmath.arith.chain-v2conf 100% · 169ms · $0.000 · 199 tok

question

Work out the exact value of this expression.

(((77 × 44 − 117) × 8 + 5319) − 91 × 63) × 4

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

model answer: 103016

correctmath.chained.pipeline-v1conf 100% · 108ms · $0.000 · 155 tok

question

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

Step 1: P = 53 × 38.
Step 2: Q = P × 9 − 316.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 2970

wrongmath.percent.chain-v2anchorconf 100% · 106ms · $0.000 · 270 tok

model answer: 61896.32

correctmath.algebra.system-v2anchorconf 100% · 110ms · $0.000 · 272 tok

model answer: 87

correctmath.arith.chain-v2anchorconf 100% · 272ms · $0.000 · 176 tok

model answer: 108153

multilingual 30/30 correct

correctmultilingual.wordnum-v1conf — · 146ms · $0.000 · 101 tok

question

A number is written in French: « cent trente-huit ». Another is written in Spanish: « 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: 198

correctmultilingual.wordnum-v1conf — · 175ms · $0.000 · 116 tok

question

A number is written in French: « deux cent vingt-trois ». Another is written in Spanish: « ochocientos 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: -600

correctmultilingual.numword-v2conf 100% · 193ms · $0.000 · 26 tok

question

Compute 57 + 176, 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: doscientos treinta y tres

correctmultilingual.numword-v2conf 100% · 106ms · $0.000 · 19 tok

question

Compute 167 + 249, 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 seize

correctmultilingual.wordnum-v1conf 100% · 162ms · $0.000 · 90 tok

question

A number is written in French: « cinq cent douze ». Another is written in Spanish: « novecientos setenta y siete ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1489

correctmultilingual.wordnum-v1conf 100% · 173ms · $0.000 · 107 tok

question

A number is written in French: « quatre cent douze ». Another is written in Spanish: « doscientos veintiuno ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 633

correctmultilingual.numword-v2conf 100% · 106ms · $0.000 · 24 tok

question

Compute 386 + 258, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: six cent quarante-quatre

correctmultilingual.wordnum-v1conf 100% · 162ms · $0.000 · 194 tok

question

A number is written in French: « sept cent quatre-vingt-deux ». Another is written in Spanish: « cuatrocientos veinticinco ». 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: 1207

correctmultilingual.numword-v2conf — · 96ms · $0.000 · 28 tok

question

Compute 457 + 104, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: cinq cent soixante et un

correctmultilingual.numword-v2conf — · 202ms · $0.000 · 27 tok

question

Compute 421 + 312, 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 trente-trois

correctmultilingual.numword-v2conf 100% · 100ms · $0.000 · 43 tok

question

Compute 283 + 324, 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 siete

correctmultilingual.wordnum-v1conf 100% · 339ms · $0.000 · 81 tok

question

A number is written in French: « six cent dix-neuf ». Another is written in Spanish: « cuatrocientos cuarenta 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: 173

correctmultilingual.wordnum-v1conf 100% · 119ms · $0.000 · 138 tok

question

A number is written in French: « huit cent dix ». Another is written in Spanish: « doscientos sesenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1076

correctmultilingual.wordnum-v1conf 100% · 442ms · $0.000 · 88 tok

question

A number is written in French: « six cent vingt-quatre ». Another is written in Spanish: « seiscientos 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: -5

correctmultilingual.numword-v2conf 100% · 110ms · $0.000 · 44 tok

question

Compute 191 + 114, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: trescientos cinco

correctmultilingual.wordnum-v1conf 100% · 113ms · $0.000 · 171 tok

question

A number is written in French: « neuf cent soixante-huit ». Another is written in Spanish: « seiscientos 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: 1571

correctmultilingual.numword-v2conf 100% · 94ms · $0.000 · 41 tok

question

Compute 101 + 405, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: quinientos seis

correctmultilingual.numword-v2conf — · 124ms · $0.000 · 22 tok

question

Compute 311 + 219, 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 trente

correctmultilingual.wordnum-v1conf 100% · 110ms · $0.000 · 85 tok

question

A number is written in French: « sept cent quarante et un ». Another is written in Spanish: « cuatrocientos 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: 270

correctmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 110 tok

question

A number is written in French: « sept cent quatre-vingt-un ». Another is written in Spanish: « seiscientos cincuenta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 127

correctmultilingual.numword-v2conf 100% · 111ms · $0.000 · 25 tok

question

Compute 498 + 237, 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 trente-cinq

correctmultilingual.wordnum-v1conf 100% · 101ms · $0.000 · 92 tok

question

A number is written in French: « quatre cent soixante-douze ». Another is written in Spanish: « seiscientos treinta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1103

correctmultilingual.numword-v2conf 100% · 91ms · $0.000 · 22 tok

question

Compute 73 + 247, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: trescientos veinte

correctmultilingual.wordnum-v1conf 100% · 172ms · $0.000 · 112 tok

question

A number is written in French: « quatre-vingt-un ». Another is written in Spanish: « novecientos treinta 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: 1017

correctmultilingual.wordnum-v1anchorconf — · 189ms · $0.000 · 172 tok

model answer: 762

correctmultilingual.numword-v2conf 100% · 164ms · $0.000 · 22 tok

question

Compute 373 + 342, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: setecientos quince

correctmultilingual.numword-v2conf 100% · 103ms · $0.000 · 27 tok

question

Compute 361 + 206, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: quinientos sesenta y siete

correctmultilingual.wordnum-v1anchorconf 100% · 843ms · $0.000 · 108 tok

model answer: 150

correctmultilingual.numword-v2anchorconf 100% · 505ms · $0.000 · 47 tok

model answer: seiscientos ocho

correctmultilingual.numword-v2anchorconf 100% · 93ms · $0.000 · 32 tok

model answer: huit cent soixante-dix-neuf

reasoning 26/30 correct

correctreasoning.deduction.order-v2conf 100% · 164ms · $0.000 · 521 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Chen. Rosa is older than everyone here, but Rosa is not being ranked. Jonas is heavier than Sami. Ola is heavier than Nadir. Nadir is heavier than Tessa. Jonas is heavier than Ola. Tessa is heavier than Bruno. Sami is heavier than Ola. Sami is heavier than Bruno. Ola is heavier than Tessa. Who is fifth (rank 5)?

Answer with the name only.

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

model answer: Tessa

wrongreasoning.deduction.order-v2conf 100% · 164ms · $0.000 · 887 tok

question

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

wrongreasoning.deduction.position-v1conf 100% · 147ms · $0.000 · 68 tok

question

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

Answer with the name only.

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

model answer: the fourth person

correctreasoning.deduction.order-v2conf 100% · 428ms · $0.000 · 356 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Kira. Dara is faster than Quinn. Quinn is faster than Sami. Sami is faster than Mona. Priya is older than everyone here, but Priya is not being ranked. Hana is faster than Mona. Mona is faster than Alice. Mona is faster than Kira. Kira is faster than Alice. Sami is faster 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: Mona

correctreasoning.deduction.position-v1conf 100% · 177ms · $0.000 · 38 tok

question

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

Answer with the name only.

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

model answer: Kira

correctreasoning.deduction.order-v2conf 100% · 95ms · $0.000 · 381 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Ines. Liam is taller than Chen. Liam is taller than Goran. Ines is taller than Goran. Sami is taller than Liam. Bruno is taller than Sami. Sami is taller than Ines. Goran is taller than Tessa. Emil is older than everyone here, but Emil is not being ranked. Ines is taller than Tessa. Who is fifth (rank 5)?

Answer with the name only.

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

model answer: Ines

correctreasoning.deduction.position-v1conf 100% · 457ms · $0.000 · 35 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 175ms · $0.000 · 82 tok

question

Four people stand in a queue (number 1 is the front). Dara is directly ahead of Emil. Goran is directly ahead of Mona. Emil is directly ahead of Goran. Mona 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: Goran

correctreasoning.deduction.order-v2conf 100% · 208ms · $0.000 · 348 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Priya. Bruno is faster than Hana. Jonas is faster than Tessa. Bruno is faster than Priya. Sami is faster than Jonas. Tessa is faster than Farah. Farah is faster than Bruno. Jonas is faster than Bruno. Hana is faster than Priya. Emil is older than everyone here, but Emil 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: Hana

correctreasoning.deduction.position-v1conf 100% · 181ms · $0.000 · 32 tok

question

Four people stand in a queue (number 1 is the front). Farah is directly ahead of Emil. Priya is directly ahead of Bruno. Bruno is number 2 in the queue. Who is number 2?

Answer with the name only.

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

model answer: Bruno

correctreasoning.deduction.position-v1conf 100% · 101ms · $0.000 · 71 tok

question

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

Answer with the name only.

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

model answer: Liam

correctreasoning.deduction.order-v2conf 100% · 123ms · $0.000 · 98 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Kira. Hana is faster than Farah. Quinn is faster than Ola. Mona is heavier than everyone here, but Mona is not being ranked. Emil is faster than Quinn. Quinn is faster than Kira. Farah is faster than Priya. Hana is faster than Priya. Hana is faster than Priya. Kira is faster 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: Hana

correctreasoning.deduction.position-v1conf 100% · 193ms · $0.000 · 37 tok

question

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

Answer with the name only.

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

model answer: Nadir

wrongreasoning.deduction.order-v2conf 100% · 121ms · $0.000 · 94 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 97ms · $0.000 · 145 tok

question

Four people stand in a queue (number 1 is the front). Priya is number 4 in the queue. Sami is directly ahead of Priya. Dara is directly ahead of Ola. Ola is directly ahead of Sami. Who is number 2?

Answer with the name only.

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

model answer: Ola

correctreasoning.deduction.order-v2conf 100% · 181ms · $0.000 · 281 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Jonas. Nadir is faster than Bruno. Ola is faster than Ines. Jonas is faster than Priya. Bruno is faster than Jonas. Quinn is older than everyone here, but Quinn is not being ranked. Jonas is faster than Ola. Priya is faster than Ines. Hana is faster than Nadir. Ola is faster than Priya. Who is fifth (rank 5)?

Answer with the name only.

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

model answer: Ola

correctreasoning.deduction.position-v1conf 100% · 170ms · $0.000 · 69 tok

question

Four people stand in a queue (number 1 is the front). Dara is directly ahead of Mona. Rosa is number 4 in the queue. Mona is directly ahead of Rosa. Chen is directly ahead of Dara. Who is number 1?

Answer with the name only.

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

model answer: Chen

correctreasoning.deduction.order-v2conf 100% · 348ms · $0.000 · 418 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Kira. Farah is older than Sami. Kira is older than Ola. Ola is older than Liam. Ola is older than Goran. Goran is older than Farah. Kira is older than Liam. Ola is older than Liam. Sami is older than Liam. Emil is heavier than everyone here, but Emil 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: Sami

correctreasoning.deduction.position-v1conf 100% · 2.3s · $0.000 · 62 tok

question

Four people stand in a queue (number 1 is the front). Ola is directly ahead of Mona. Mona is directly ahead of Goran. Sami is number 1 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: Mona

correctreasoning.deduction.order-v2conf 100% · 105ms · $0.000 · 148 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Bruno. Liam is older than Quinn. Alice is older than Tessa. Tessa is older than Liam. Tessa is older than Quinn. Alice is older than Quinn. Farah is heavier than everyone here, but Farah is not being ranked. Dara is older than Quinn. Liam is older than Dara. Bruno is older than Alice. 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: Liam

correctreasoning.deduction.position-v1conf 100% · 108ms · $0.000 · 73 tok

question

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

Answer with the name only.

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

model answer: Sami

correctreasoning.deduction.order-v2conf 100% · 173ms · $0.000 · 298 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Tessa is older than everyone here, but Tessa is not being ranked. Emil is faster than Hana. Hana is faster than Farah. Hana is faster than Ines. Jonas is faster than Chen. Ines is faster than Jonas. Bruno is faster than Farah. Hana is faster than Farah. Jonas is faster than Farah. Chen is faster than Bruno. 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: Chen

correctreasoning.deduction.position-v1conf 100% · 300ms · $0.000 · 95 tok

question

Four people stand in a queue (number 1 is the front). Priya is directly ahead of Tessa. Nadir is number 3 in the queue. Tessa is directly ahead of Nadir. 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: Priya

correctreasoning.deduction.order-v2conf 100% · 102ms · $0.000 · 355 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Goran. Rosa is faster than Bruno. Mona is older than everyone here, but Mona is not being ranked. Hana is faster than Dara. Liam is faster than Chen. Hana is faster than Liam. Hana is faster than Bruno. Dara is faster than Rosa. Goran is faster than Liam. Goran is faster than Chen. 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: Liam

correctreasoning.deduction.order-v2conf 100% · 99ms · $0.000 · 304 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is heavier than Kira. Nadir is heavier than Jonas. Kira is heavier than Rosa. Bruno is heavier than Alice. Alice is heavier than Rosa. Bruno is heavier than Rosa. Dara is taller than everyone here, but Dara is not being ranked. Jonas is heavier than Liam. Liam is heavier than Bruno. Bruno is heavier 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

wrongreasoning.deduction.order-v2anchorconf 100% · 125ms · $0.000 · 538 tok

model answer: Quinn

correctreasoning.deduction.position-v1conf 100% · 112ms · $0.000 · 92 tok

question

Four people stand in a queue (number 1 is the front). Ola is number 4 in the queue. Goran is directly ahead of Ola. Ines is directly ahead of Dara. Dara is directly ahead of Goran. Who is number 4?

Answer with the name only.

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

model answer: Ola

correctreasoning.deduction.position-v1anchorconf 100% · 266ms · $0.000 · 60 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 100% · 120ms · $0.000 · 63 tok

model answer: Quinn

correctreasoning.deduction.position-v1anchorconf 100% · 101ms · $0.000 · 86 tok

model answer: Farah

terminal 20/30 correct

wrongterminal.fs.tree-v1conf 100% · 225ms · $0.000 · 112 tok

question

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

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

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

```sh
mkdir -p src/assets-4
mkdir -p conf/assets-6
rm notes.cfg
cd assets
mv ../../proj/src/draft.log ../../proj/src/index-4.md
rm ../../proj/src/index.log
mkdir -p ../../proj/conf/assets-3
mkdir -p ../../proj/assets-1
```

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

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

model answer:

/proj/assets/report.txt
/proj/setup.cfg
/proj/src/draft.log
/proj/src/index-4.md

correctterminal.exit.chain-v1conf 100% · 337ms · $0.000 · 21 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
grep -q coral notes.txt && echo A || echo B
grep -q basil 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:1

wrongterminal.fs.tree-v1conf 100% · 143ms · $0.000 · 78 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/build`):

```
/proj/assets/draft.md
/proj/build/notes.md
/proj/logs/todo.log
/proj/main.txt
/proj/setup.log
```

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

```sh
mv build/notes.md ./
cd .
touch assets/notes-3.txt
cp assets/notes-3.txt logs/
touch assets/todo-7.cfg
cd .
mkdir -p build/docs-6
touch build/docs-6/todo-7.cfg
cd logs
mkdir -p build-6
```

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

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

model answer:

/proj/assets/draft.md
/proj/assets/notes-3.txt
/proj/assets/todo-7.cfg
/proj/build/docs-6/todo-7.cfg
/proj/logs/logs/todo.log
/proj/logs/notes-3.txt
/proj/main.txt
/proj/notes.md
/proj/setup.log

correctterminal.pipeline.predict-v1conf 100% · 166ms · $0.000 · 36 tok

question

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

```
ivy,hr,54,98
kim,ops,103,95
max,legal,109,28
cy,sales,92,90
fay,sales,35,48
oli,sales,50,34
pam,ops,56,15
eli,ops,19,56
gus,legal,87,55
jon,sales,6,86
bo,hr,75,48
ana,hr,66,61
ned,legal,117,78
dev,hr,5,63
```

What is the EXACT stdout of this command?

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

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

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

model answer:

eli,ops,19,56
pam,ops,56,15
kim,ops,103,95

correctterminal.exit.chain-v1conf 100% · 207ms · $0.000 · 23 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
true && echo A || echo B
true && echo C || echo D
grep -q dune notes.txt && echo E || echo F
test -f data.txt && echo Z
```

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

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

model answer:

A
C
E
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 137ms · $0.000 · 386 tok

question

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

```
/proj/docs/util.log
/proj/draft.md
/proj/logs/report.txt
/proj/logs/setup.txt
/proj/notes.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 draft.md
touch logs/index-1.txt
cp docs/util.log ./
cd .
mkdir -p conf-3
mv docs/util.log docs/notes-3.md
mkdir -p conf-3/build-8
mkdir -p build-2
rm logs/report.txt
cd logs
```

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

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

model answer:

/proj/docs/notes-3.md
/proj/logs/index-1.txt
/proj/logs/setup.txt
/proj/notes.md
/proj/util.log

correctterminal.pipeline.predict-v1conf 100% · 115ms · $0.000 · 13 tok

question

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

```
jon,sales,4,48
pam,sales,32,83
ned,eng,101,74
eli,legal,58,31
bo,hr,25,47
hal,hr,73,90
cy,sales,65,88
lou,ops,115,61
ana,eng,74,89
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 66 { n += 1 } END { print n }'
```

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

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

model answer: 2

wrongterminal.fs.tree-v1conf 100% · 192ms · $0.000 · 68 tok

question

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

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

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

```sh
mv todo.log util-8.md
touch src/notes-2.log
mv logs/draft.txt logs/todo-7.log
mkdir -p logs-3
cd logs
mv ../../proj/util-8.md ../../proj/draft-5.md
mv ../../proj/draft-5.md ../../proj/report-4.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/draft-5.md
/proj/logs/draft.txt
/proj/logs/setup.md
/proj/logs/todo-7.log
/proj/notes.md
/proj/report-4.cfg
/proj/src/main.txt
/proj/src/notes-2.log

correctterminal.exit.chain-v1conf 100% · 127ms · $0.000 · 21 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
C
E
exit:1

correctterminal.pipeline.predict-v1conf 100% · 101ms · $0.000 · 19 tok

question

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

```
ivy,ops,59,65
ana,legal,36,68
eli,sales,91,76
hal,eng,79,46
dev,sales,116,13
jon,hr,61,36
pam,eng,100,25
gus,sales,31,33
cy,eng,89,25
ned,hr,120,49
```

What is the EXACT stdout of this command?

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

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

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

model answer:

cy,89
hal,79

wrongterminal.pipeline.predict-v1conf 100% · 142ms · $0.000 · 13 tok

question

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

```
ned,hr,40,92
eli,hr,41,42
fay,legal,8,61
hal,eng,61,13
gus,hr,38,20
oli,hr,66,58
cy,sales,112,94
pam,sales,103,83
lou,ops,22,19
kim,hr,101,47
max,ops,44,75
ivy,ops,96,26
bo,hr,30,70
jon,legal,97,78
```

What is the EXACT stdout of this command?

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

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

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

model answer: (none extracted)

correctterminal.exit.chain-v1conf 100% · 111ms · $0.000 · 23 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
C
F
H
exit:1

wrongterminal.fs.tree-v1conf 100% · 188ms · $0.000 · 70 tok

question

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

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

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

```sh
cp logs/index.txt src/
cd logs
mv ../../proj/main.md ../../proj/src/
touch draft-5.md
touch ../../proj/util-4.txt
cd ../../proj
mkdir -p src-8
cp logs/todo.log src-8/
cd .
rm logs/index.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/logs/draft.cfg
/proj/logs/draft-5.md
/proj/logs/todo.log
/proj/main.md
/proj/report.log
/proj/src/index.txt
/proj/src/main.md
/proj/src-8/todo.log
/proj/util-4.txt

correctterminal.exit.chain-v1conf 100% · 2.8s · $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: basil, amber (one per line). No other files exist.

These statements run in order:

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

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

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

model answer:

B
D
F
G
exit:1

correctterminal.fs.tree-v1conf 100% · 387ms · $0.000 · 131 tok

question

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

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

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

```sh
touch src/report-7.log
mkdir -p docs/conf-4
mkdir -p docs/docs-9
cp report.md src/
mv index.log docs/conf-4/
touch docs/draft-8.md
rm src/report.md
cd docs/docs-9
rm ../../../proj/src/draft.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/docs/conf-4/index.log
/proj/docs/draft-8.md
/proj/docs/main.txt
/proj/report.md
/proj/src/report-7.log
/proj/src/setup.md

correctterminal.pipeline.predict-v1conf 100% · 1.1s · $0.000 · 19 tok

question

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

```
ana,eng,64,27
hal,legal,55,54
gus,sales,62,20
lou,sales,25,19
jon,hr,55,95
cy,ops,51,91
fay,sales,30,35
bo,ops,73,33
eli,legal,117,34
```

What is the EXACT stdout of this command?

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

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

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

model answer:

bo,73
cy,51

correctterminal.exit.chain-v1conf 100% · 275ms · $0.000 · 21 tok

question

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

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

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

These statements run in order:

```sh
true && echo A || echo B
true && 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:

A
C
E
exit:1

correctterminal.pipeline.predict-v1conf 100% · 94ms · $0.000 · 19 tok

question

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

```
hal,eng,65,89
bo,hr,36,12
eli,legal,114,42
fay,ops,15,42
pam,eng,32,22
kim,legal,105,27
gus,eng,60,24
lou,eng,60,23
oli,eng,104,95
jon,hr,88,54
cy,sales,66,60
```

What is the EXACT stdout of this command?

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

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

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

model answer: cy,sales,66,60

correctterminal.exit.chain-v1conf 100% · 99ms · $0.000 · 25 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
C
E
G
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 179ms · $0.000 · 59 tok

question

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

```
/proj/build/draft.log
/proj/conf/notes.txt
/proj/conf/util.txt
/proj/index.md
/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
rm build/draft.log
touch conf/todo-1.md
mkdir -p build-3
cd build
touch ../../proj/conf/main-1.log
cd ../../proj
mv conf/main-1.log conf/util-7.txt
touch build/notes-5.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/build/notes-5.log
/proj/conf/notes.txt
/proj/conf/todo-1.md
/proj/conf/util-7.txt
/proj/conf/util.txt
/proj/index.md
/proj/report.cfg

correctterminal.pipeline.predict-v1conf 100% · 152ms · $0.000 · 13 tok

question

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

```
kim,eng,30,92
cy,eng,43,52
lou,legal,118,18
bo,eng,21,17
ana,ops,74,80
fay,legal,110,18
ned,sales,105,61
eli,legal,120,28
dev,hr,6,20
pam,ops,72,70
ivy,legal,24,79
```

What is the EXACT stdout of this command?

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

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

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

model answer: 94

wrongterminal.fs.tree-v1conf 100% · 170ms · $0.000 · 74 tok

question

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

```
/proj/conf/todo.log
/proj/draft.txt
/proj/index.md
/proj/logs/main.md
/proj/logs/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 logs/util.txt ./
mv logs/util.txt logs/draft-4.md
mv logs/main.md build/
mkdir -p logs-2
mkdir -p logs-2/logs-9
touch conf/main-3.cfg
cd logs
mv ../../proj/draft.txt ../../proj/setup-2.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/main.md
/proj/conf/main-3.cfg
/proj/conf/todo.log
/proj/draft.txt
/proj/index.md
/proj/logs/draft-4.md
/proj/logs-2/logs-9/util.txt
/proj/setup-2.md
/proj/util.txt

correctterminal.exit.chain-v1conf 100% · 112ms · $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, dune (one per line). No other files exist.

These statements run in order:

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

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

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

model answer:

A
C
E
G
Z
exit:0

correctterminal.pipeline.predict-v1conf 100% · 389ms · $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):

```
eli,eng,99,32
max,hr,4,21
gus,hr,23,98
cy,hr,116,87
fay,legal,56,27
kim,eng,28,78
pam,eng,80,36
jon,ops,51,49
ana,eng,76,33
lou,legal,65,18
bo,sales,50,46
ned,ops,65,78
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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,50

correctterminal.exit.chain-v1conf 100% · 124ms · $0.000 · 23 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
D
F
H
exit:1

wrongterminal.fs.tree-v1conf 100% · 245ms · $0.000 · 42 tok

question

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

```
/proj/build/setup.txt
/proj/build/todo.log
/proj/conf/report.log
/proj/index.txt
/proj/main.log
```

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

```sh
cp index.txt docs/
mv main.log main-4.md
rm docs/index.txt
cp conf/report.log build/
mkdir -p logs-2
mkdir -p src-9
```

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.log
/proj/build/setup.txt
/proj/build/todo.log
/proj/conf/report.log
/proj/main-4.md

wrongterminal.pipeline.predict-v1anchorconf 100% · 183ms · $0.000 · 35 tok

model answer:

eli,eng,60,55
max,eng,43,64
oli,eng,40,31

wrongterminal.fs.tree-v1anchorconf 100% · 209ms · $0.000 · 70 tok

model answer:

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

correctterminal.exit.chain-v1anchorconf 100% · 114ms · $0.000 · 23 tok

model answer:

B
D
E
G
exit:1

wrongterminal.pipeline.predict-v1anchorconf 100% · 107ms · $0.000 · 13 tok

model answer: 2

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