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Amazon: Nova 2 Lite
amazon/nova-2-lite-v1 · amazon · context 1 000 000 · in $0.300/1M · out $2.50/1M
Global Index
429
95% CI [400–458] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 409 [342–475] | 0.183 | 0.82 | 0.27 | 0.000 | 372ms | $0.725 | |
| code | 393 [334–451] | 0.162 | 0.75 | 0.33 | 0.000 | 384ms | $1.45 | |
| instruction following | 282 [214–351] | 0.207 | 0.77 | 0.43 | 0.365 | 360ms | $0.101 | |
| knowledge | 727 [554–900] | 0.549 | 0.98 | 1.00 | 0.000 | 345ms | $0.066 | |
| math | 366 [324–408] | 0.104 | 0.80 | 0.33 | 0.000 | 361ms | $0.397 | |
| multilingual | 457 [392–522] | 0.190 | 0.93 | 0.53 | 0.000 | 350ms | $0.076 | |
| reasoning | 393 [348–437] | 0.111 | 0.95 | 0.33 | 0.000 | 365ms | $0.084 | |
| terminal | 391 [333–448] | 0.140 | 0.91 | 0.20 | 0.000 | 371ms | $0.171 | |
| vision ocr | 443 [326–560] | 0.356 | 0.93 | 0.83 | 0.192 | 948ms | $0.142 |
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 8/30 correct
wrongagentic.tools.ledger-v1conf 100% · 368ms · $0.001 · 211 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $841
- lima: $283
- bravo: $889
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $317 from "bravo" to "alpha"
2. pay $581 from "alpha" to "bravo"
3. pay $400 from "lima" to "bravo"
4. pay $226 from "lima" to "bravo"
5. pay $245 from "bravo" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 317}},
{"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 581}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 400}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 400}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 226}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 245}},
{"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 245}}
]wrongagentic.tools.triage-v1conf 100% · 349ms · $0.001 · 150 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 → okafor
- data → haddad
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 2)
2. "card declined at checkout" (category: payments, priority 3)
3. "card declined at checkout" (category: payments, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]wrongagentic.tools.context-load-v1conf 100% · 338ms · $0.001 · 142 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 (217 records, format: id|customer|region|item|qty|status):
```
1881|harbor|north|cable|87|pending
1578|harbor|east|cable|31|pending
1988|birch|east|valve|48|paid
1789|harbor|north|panel|62|held
1879|ionic|south|rotor|40|held
1607|fulton|south|panel|44|held
1817|harbor|north|rotor|41|held
1212|fulton|west|panel|12|paid
1283|harbor|west|panel|83|held
1453|harbor|east|panel|73|pending
1457|gale|west|gasket|37|pending
1169|fulton|north|rotor|38|pending
1919|gale|west|cable|21|held
1257|ionic|west|pump|26|held
1754|ionic|west|pump|82|pending
1206|fulton|west|panel|84|paid
1979|dorian|south|panel|40|paid
1655|birch|north|pump|62|pending
1328|gale|south|panel|90|pending
1513|cobalt|east|sensor|65|pending
1284|dorian|south|pump|23|held
1351|fulton|west|rotor|35|shipped
1690|ionic|north|valve|36|shipped
1472|harbor|north|valve|33|shipped
1185|fulton|west|panel|54|pending
1249|ionic|south|panel|23|shipped
1837|birch|east|cable|56|paid
1435|gale|south|rotor|33|paid
1263|cobalt|south|sensor|61|paid
1665|cobalt|west|cable|44|held
1888|ionic|east|frame|98|paid
1535|ember|east|panel|61|paid
1325|harbor|west|valve|33|shipped
1267|harbor|west|valve|87|paid
1747|fulton|east|panel|98|pending
1347|ember|west|cable|91|pending
1174|fulton|east|frame|81|pending
1498|juno|south|gasket|50|pending
1563|harbor|east|pump|76|paid
1906|birch|south|valve|14|shipped
1994|harbor|west|cable|69|paid
1762|cobalt|west|sensor|36|paid
1815|dorian|north|sensor|60|held
1398|gale|south|rotor|86|paid
1588|juno|north|cable|17|pending
1985|harbor|west|cable|70|held
1157|fulton|north|cable|21|pending
1191|fulton|north|rotor|76|shipped
1615|ember|west|sensor|10|held
1791|cobalt|north|frame|96|held
1958|harbor|west|pump|83|held
1446|gale|south|rotor|77|held
1392|dorian|east|pump|90|shipped
1590|gale|west|panel|42|shipped
1210|dorian|north|panel|76|pending
1532|fulton|west|valve|32|paid
1216|gale|west|gasket|77|paid
1231|gale|east|panel|88|shipped
1555|ember|west|frame|98|shipped
1604|ionic|south|sensor|45|pending
1779|birch|east|frame|97|shipped
1488|fulton|east|sensor|87|pending
1391|ember|west|sensor|50|paid
1397|acme|north|cable|75|pending
1359|cobalt|east|panel|90|held
1454|gale|east|valve|19|pending
1924|acme|east|cable|61|shipped
1847|gale|east|panel|74|paid
1845|cobalt|east|rotor|11|paid
1864|fulton|east|pump|32|paid
1302|cobalt|north|panel|48|paid
1246|ionic|south|cable|43|shipped
1270|birch|west|cable|72|shipped
1418|gale|east|sensor|81|pending
1423|fulton|north|pump|99|paid
1557|juno|north|valve|48|held
1649|cobalt|east|pump|91|paid
1820|ember|south|frame|30|held
1646|cobalt|west|frame|91|pending
1384|gale|south|frame|97|pending
1165|fulton|north|panel|89|paid
1507|birch|west|pump|87|held
1683|cobalt|east|gasket|23|held
1995|acme|east|gasket|98|paid
1703|acme|west|sensor|76|pending
1549|ember|west|valve|73|shipped
1247|harbor|west|pump|70|held
1502|harbor|east|gasket|89|shipped
1825|ionic|west|valve|48|paid
1990|juno|east|cable|48|shipped
1613|ionic|west|rotor|70|held
1317|ember|north|pump|79|pending
1494|fulton|north|sensor|52|paid
1366|cobalt|south|rotor|76|shipped
1528|birch|east|sensor|46|pending
1291|ember|north|panel|60|held
1355|fulton|north|gasket|94|paid
1443|harbor|west|panel|92|held
1751|ionic|south|frame|23|held
1970|acme|west|sensor|49|shipped
1475|birch|west|panel|29|pending
1374|cobalt|south|rotor|83|pending
1372|acme|south|sensor|85|pending
1898|ember|west|frame|83|held
1688|harbor|east|cable|24|shipped
1428|harbor|east|cable|72|shipped
1400|birch|north|rotor|39|held
1941|cobalt|east|sensor|27|shipped
1912|fulton|north|valve|89|paid
1626|fulton|east|sensor|71|held
1930|ionic|south|valve|96|shipped
1878|harbor|east|rotor|96|held
1964|cobalt|west|cable|45|held
1759|juno|east|rotor|64|held
1601|dorian|west|frame|10|paid
1241|cobalt|south|valve|82|held
1945|harbor|south|pump|52|shipped
1269|harbor|north|pump|39|pending
2014|ionic|west|panel|23|held
1697|acme|east|frame|35|shipped
1851|cobalt|south|valve|55|held
1813|harbor|east|pump|20|pending
1950|acme|east|valve|59|pending
1298|birch|north|valve|18|held
1196|fulton|east|frame|18|pending
1902|ionic|west|sensor|14|paid
1250|birch|north|cable|69|paid
1975|harbor|east|cable|54|pending
1265|cobalt|north|cable|54|paid
1619|fulton|east|cable|81|held
1547|ionic|west|pump|17|paid
1572|ionic|north|cable|84|pending
1276|dorian|north|panel|89|pending
1337|ember|east|valve|64|shipped
1163|fulton|west|frame|20|pending
1194|fulton|north|rotor|29|pending
1737|ionic|east|frame|62|shipped
1671|ember|south|rotor|85|pending
1333|acme|east|rotor|56|pending
2000|acme|north|panel|26|held
1856|ionic|west|valve|63|held
1705|fulton|east|frame|40|shipped
1470|dorian|north|valve|38|held
1725|acme|east|cable|97|paid
1415|gale|east|frame|52|paid
1744|acme|east|pump|47|pending
1892|birch|south|pump|24|paid
1661|ionic|north|gasket|74|held
1956|juno|west|sensor|84|paid
2007|cobalt|west|cable|59|held
1440|ionic|west|frame|36|shipped
1785|cobalt|south|gasket|49|shipped
1763|gale|south|sensor|37|shipped
1460|cobalt|west|rotor|36|held
1773|juno|south|pump|71|pending
1541|fulton|south|panel|62|paid
1715|acme|west|pump|47|held
1730|ionic|west|panel|94|paid
1937|ember|south|valve|93|held
1862|gale|east|panel|76|paid
1899|juno|north|valve|44|paid
1377|fulton|west|pump|86|pending
1849|acme|north|valve|74|paid
1308|fulton|north|valve|54|paid
1798|cobalt|west|frame|53|pending
1327|cobalt|north|rotor|19|held
1214|gale|south|gasket|64|shipped
1519|ionic|west|cable|15|shipped
1478|acme|north|pump|97|pending
1179|fulton|north|gasket|68|pending
1209|ember|north|panel|27|held
1485|dorian|north|valve|18|paid
1219|harbor|east|sensor|92|paid
1407|dorian|east|gasket|20|paid
1565|birch|east|panel|67|held
1357|ionic|north|gasket|55|held
1643|ionic|south|gasket|63|held
1922|dorian|south|sensor|48|held
1202|fulton|north|sensor|42|shipped
1871|fulton|west|cable|28|held
1244|ionic|west|cable|80|shipped
1226|fulton|west|sensor|45|held
1803|harbor|west|valve|78|held
1406|ember|east|frame|84|paid
1517|gale|west|pump|92|paid
1350|harbor|east|pump|13|paid
1504|cobalt|south|rotor|26|pending
1627|cobalt|west|panel|71|pending
1448|cobalt|east|rotor|91|pending
1273|dorian|south|pump|74|shipped
1466|harbor|north|sensor|39|pending
1720|birch|north|pump|30|held
1496|acme|east|panel|31|shipped
1234|gale|north|sensor|74|paid
1984|juno|west|sensor|72|shipped
1177|fulton|north|frame|22|paid
1769|dorian|north|pump|63|shipped
1581|ember|north|panel|14|paid
1410|gale|west|pump|89|paid
1712|gale|south|rotor|43|shipped
1748|harbor|east|gasket|85|paid
1315|ionic|east|pump|32|paid
1806|dorian|south|cable|59|paid
1550|fulton|east|valve|85|shipped
2012|birch|south|valve|27|shipped
1319|fulton|west|frame|22|pending
1676|cobalt|east|gasket|37|shipped
1205|dorian|south|panel|24|pending
1830|harbor|west|panel|57|shipped
1634|juno|east|gasket|87|held
1343|ionic|west|cable|97|paid
1465|fulton|west|gasket|79|pending
1639|dorian|south|frame|12|pending
1524|juno|west|pump|27|pending
1946|fulton|west|frame|57|shipped
1594|gale|west|sensor|66|paid
1839|ionic|south|pump|67|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 44, 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": 1194}}, {"tool": "restock", "args": {"item": "pump", "qty": 99}}, {"tool": "cancel_order", "args": {"order_id": 1179}}, {"tool": "cancel_order", "args": {"order_id": 1202}}, {"tool": "cancel_order", "args": {"order_id": 1308}}, {"tool": "cancel_order", "args": {"order_id": 1319}}, {"tool": "cancel_order", "args": {"order_id": 1377}}]wrongagentic.tools.deploy-v1conf 100% · 320ms · $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):
- auth-svc: (none)
- gateway: auth-svc
- billing: auth-svc
- reports: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1conf 100% · 307ms · $0.001 · 207 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: $150
- echo: $676
- lima: $415
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $475 from "lima" to "bravo"
2. pay $416 from "lima" to "bravo"
3. pay $183 from "lima" to "echo"
4. pay $555 from "bravo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 475}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 0}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 416}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 0}},
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 183}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 555}},
{"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 555}}
]wrongagentic.tools.triage-v1conf 100% · 411ms · $0.001 · 233 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → haddad
- payments → novak
- data → dubois
INCIDENTS:
1. "cannot reset password" (category: auth, priority 7)
2. "cannot reset password" (category: auth, priority 7)
3. "dashboard shows stale numbers" (category: data, priority 7)
4. "locked out after 2FA change" (category: auth, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}}
]wrongagentic.tools.context-load-v1conf 100% · 510ms · $0.001 · 124 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 (164 records, format: id|customer|region|item|qty|status):
```
1158|acme|east|pump|42|shipped
1368|cobalt|west|rotor|63|held
1380|gale|west|cable|70|shipped
1388|acme|south|panel|43|pending
1349|juno|north|rotor|81|pending
1553|harbor|north|pump|23|held
1101|fulton|north|pump|88|pending
1184|juno|east|valve|19|pending
1447|ionic|north|sensor|41|held
1279|juno|west|gasket|71|pending
1621|ionic|east|gasket|68|pending
1132|harbor|east|panel|91|pending
1283|fulton|south|frame|42|pending
1425|ionic|east|panel|42|held
1548|acme|west|sensor|45|shipped
1205|birch|east|valve|80|paid
1500|harbor|west|cable|88|held
1642|cobalt|north|frame|10|pending
1315|fulton|west|gasket|41|paid
1698|harbor|east|gasket|51|held
1565|harbor|south|gasket|55|held
1422|fulton|west|panel|38|shipped
1294|ionic|south|pump|15|shipped
1288|dorian|west|sensor|46|paid
1569|ember|south|panel|78|shipped
1201|birch|north|frame|99|held
1336|fulton|east|frame|90|paid
1454|juno|north|cable|83|shipped
1558|birch|east|gasket|60|held
1226|gale|west|rotor|46|held
1424|ember|west|pump|31|pending
1690|juno|east|frame|59|shipped
1494|harbor|north|valve|23|paid
1410|ember|west|rotor|48|pending
1597|fulton|south|valve|27|held
1700|ember|west|gasket|32|pending
1648|birch|south|gasket|44|held
1661|dorian|west|valve|52|pending
1696|birch|west|panel|78|paid
1526|acme|south|gasket|66|held
1680|acme|east|gasket|90|paid
1662|harbor|north|cable|67|pending
1396|dorian|east|rotor|50|paid
1292|acme|east|rotor|49|pending
1271|fulton|north|valve|80|pending
1524|gale|north|frame|45|pending
1614|cobalt|south|pump|15|paid
1563|dorian|west|frame|32|shipped
1113|fulton|west|sensor|33|pending
1074|fulton|south|rotor|55|pending
1583|fulton|north|sensor|95|pending
1657|fulton|north|valve|17|paid
1265|birch|north|rotor|92|shipped
1318|ionic|east|gasket|66|shipped
1545|fulton|north|frame|21|shipped
1275|acme|east|pump|94|shipped
1470|cobalt|east|rotor|71|shipped
1187|harbor|west|sensor|23|shipped
1687|birch|west|pump|41|held
1665|dorian|east|gasket|21|shipped
1684|dorian|south|gasket|74|paid
1591|gale|south|pump|36|held
1358|ember|east|gasket|85|shipped
1522|harbor|north|rotor|89|held
1085|fulton|west|rotor|85|pending
1305|juno|west|rotor|92|paid
1143|gale|west|frame|40|shipped
1211|birch|east|pump|82|pending
1437|birch|west|cable|23|shipped
1460|birch|west|gasket|88|held
1194|ionic|north|gasket|32|paid
1702|juno|west|panel|57|pending
1178|harbor|north|pump|80|paid
1389|harbor|east|gasket|70|pending
1326|dorian|north|pump|86|paid
1258|harbor|east|cable|95|pending
1092|fulton|east|rotor|87|paid
1297|cobalt|north|sensor|64|pending
1669|ionic|east|pump|51|shipped
1382|fulton|north|panel|38|shipped
1377|ember|south|cable|11|pending
1350|harbor|north|cable|22|shipped
1411|birch|south|panel|74|paid
1533|cobalt|south|rotor|60|paid
1638|harbor|south|rotor|55|shipped
1427|fulton|north|rotor|36|held
1362|cobalt|south|pump|28|held
1663|harbor|south|sensor|34|paid
1483|ionic|west|valve|78|pending
1633|ember|north|cable|82|pending
1218|cobalt|south|frame|78|paid
1477|fulton|south|valve|59|paid
1308|fulton|north|cable|18|pending
1244|ember|west|sensor|51|shipped
1221|acme|south|pump|78|paid
1322|dorian|north|panel|70|pending
1149|ionic|west|gasket|59|paid
1200|fulton|east|valve|33|shipped
1351|ionic|south|panel|33|held
1266|cobalt|south|gasket|42|paid
1343|fulton|east|pump|61|paid
1245|juno|north|cable|37|held
1365|birch|south|frame|96|pending
1573|fulton|west|gasket|34|pending
1506|acme|west|pump|88|paid
1114|fulton|east|panel|70|held
1127|fulton|east|rotor|10|shipped
1073|fulton|east|gasket|29|pending
1339|birch|west|cable|62|pending
1233|gale|west|panel|98|paid
1082|fulton|east|sensor|57|pending
1164|cobalt|south|frame|61|held
1174|juno|east|sensor|31|pending
1608|ionic|north|cable|98|held
1121|fulton|north|frame|28|pending
1466|birch|north|pump|20|held
1252|ionic|south|panel|29|held
1476|acme|north|frame|33|held
1130|cobalt|south|rotor|44|held
1677|gale|east|panel|13|shipped
1519|fulton|west|frame|46|shipped
1077|fulton|east|valve|51|shipped
1432|harbor|east|sensor|31|paid
1440|birch|east|pump|46|shipped
1405|ember|south|panel|14|held
1578|dorian|north|pump|51|held
1672|fulton|east|valve|36|shipped
1590|fulton|north|frame|17|shipped
1626|fulton|north|valve|98|pending
1471|birch|south|cable|78|held
1502|fulton|west|rotor|36|held
1656|juno|west|valve|94|shipped
1461|birch|south|valve|28|held
1397|cobalt|north|gasket|88|shipped
1139|dorian|west|gasket|11|shipped
1154|juno|south|rotor|22|paid
1516|ember|south|rotor|30|shipped
1602|juno|north|cable|58|pending
1239|ember|north|panel|48|shipped
1095|fulton|east|pump|65|pending
1544|dorian|east|frame|81|held
1372|cobalt|east|rotor|87|paid
1264|harbor|west|panel|48|shipped
1106|fulton|east|sensor|97|pending
1337|juno|north|rotor|48|shipped
1463|birch|north|rotor|87|paid
1418|dorian|west|frame|69|held
1540|acme|east|cable|52|pending
1429|birch|east|sensor|36|paid
1588|dorian|west|rotor|16|held
1511|birch|south|cable|19|held
1171|harbor|north|valve|68|held
1400|gale|west|frame|95|pending
1632|ember|north|sensor|98|shipped
1136|ionic|west|sensor|47|paid
1649|cobalt|west|frame|95|shipped
1222|gale|north|sensor|21|pending
1489|cobalt|south|frame|83|pending
1331|juno|west|cable|63|held
1103|fulton|east|panel|52|paid
1508|ionic|north|valve|67|shipped
1119|fulton|east|sensor|27|pending
1667|cobalt|south|cable|64|held
1299|cobalt|north|gasket|83|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, 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": 1095}}, {"tool": "cancel_order", "args": {"order_id": 1106}}, {"tool": "cancel_order", "args": {"order_id": 1119}}, {"tool": "restock", "args": {"item": "pump", "qty": 65}}, {"tool": "cancel_order", "args": {"order_id": 1343}}, {"tool": "cancel_order", "args": {"order_id": 1627}}]correctagentic.tools.deploy-v1conf 100% · 332ms · $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):
- auth-svc: gateway
- notifier: gateway
- gateway: (none)
- reports: 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": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1conf 100% · 392ms · $0.001 · 213 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $469
- oscar: $845
- delta: $339
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $92 from "kilo" to "oscar"
2. pay $201 from "delta" to "kilo"
3. pay $452 from "delta" to "oscar"
4. pay $516 from "kilo" to "delta"
5. pay $93 from "kilo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 92}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 201}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 98}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 452}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 178}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 516}},
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 93}}
]correctagentic.tools.triage-v1conf 100% · 357ms · $0.001 · 197 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → okafor
- payments → haddad
- data → dubois
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 4)
2. "uploads failing intermittently" (category: infra, priority 4)
3. "records missing after import" (category: data, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"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": "records missing after import", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}
]correctagentic.tools.deploy-v1conf 100% · 389ms · $0.000 · 95 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: reports
- search: reports
- reports: (none)
- notifier: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}}
]wrongagentic.tools.context-load-v1conf 100% · 371ms · $0.001 · 164 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 (144 records, format: id|customer|region|item|qty|status):
```
1279|ember|north|rotor|24|shipped
1328|dorian|south|panel|59|pending
1699|cobalt|south|valve|62|paid
1449|juno|east|pump|82|shipped
1280|cobalt|south|panel|40|held
1617|harbor|west|pump|63|held
1291|gale|west|panel|36|paid
1371|gale|east|pump|51|held
1437|ember|south|frame|16|paid
1568|juno|north|frame|53|paid
1208|harbor|north|frame|14|paid
1287|dorian|south|valve|50|held
1554|dorian|west|cable|78|shipped
1407|ionic|east|sensor|84|paid
1508|birch|south|valve|26|paid
1671|dorian|south|panel|97|held
1431|cobalt|west|sensor|66|paid
1711|cobalt|south|cable|85|pending
1518|gale|north|gasket|97|shipped
1283|fulton|east|valve|79|held
1512|gale|west|valve|27|held
1542|ionic|south|sensor|14|paid
1442|acme|east|frame|88|shipped
1162|dorian|west|pump|85|pending
1732|dorian|south|frame|41|pending
1565|ionic|east|gasket|71|paid
1168|dorian|east|valve|99|pending
1236|acme|north|frame|79|pending
1332|dorian|south|gasket|80|paid
1433|cobalt|north|frame|75|shipped
1389|gale|north|panel|19|shipped
1253|fulton|east|cable|20|pending
1651|ember|south|rotor|51|held
1477|harbor|west|pump|77|pending
1321|birch|west|gasket|73|paid
1495|ember|north|gasket|34|shipped
1458|ember|east|pump|75|shipped
1179|dorian|east|frame|84|pending
1557|fulton|south|cable|81|shipped
1549|gale|east|frame|69|pending
1152|dorian|east|panel|79|held
1346|dorian|north|cable|36|shipped
1635|dorian|west|rotor|34|paid
1520|gale|north|pump|62|shipped
1333|ionic|east|pump|50|pending
1285|fulton|east|valve|66|held
1611|juno|west|panel|59|held
1272|acme|north|frame|26|pending
1738|ionic|north|sensor|86|shipped
1544|birch|east|pump|26|held
1593|cobalt|north|panel|82|held
1525|fulton|north|frame|82|held
1269|gale|north|gasket|96|shipped
1419|birch|north|panel|69|pending
1382|gale|south|pump|29|pending
1639|ember|west|sensor|84|shipped
1145|dorian|east|sensor|32|pending
1415|ionic|east|frame|45|held
1404|cobalt|east|panel|25|pending
1365|fulton|north|pump|65|shipped
1648|ionic|south|frame|65|pending
1464|ionic|north|panel|15|paid
1575|birch|west|pump|32|paid
1605|harbor|south|cable|71|shipped
1186|dorian|west|pump|84|pending
1668|gale|north|panel|18|shipped
1412|ionic|south|valve|85|pending
1207|cobalt|south|pump|72|held
1358|gale|west|gasket|18|paid
1351|cobalt|south|gasket|11|paid
1705|cobalt|west|sensor|34|held
1159|dorian|east|pump|47|pending
1172|dorian|west|cable|82|pending
1633|birch|north|valve|76|held
1494|birch|west|valve|74|shipped
1538|ionic|north|rotor|24|held
1727|harbor|east|sensor|24|shipped
1425|juno|east|frame|31|pending
1262|birch|north|panel|29|pending
1376|harbor|west|sensor|97|shipped
1580|harbor|east|rotor|80|paid
1147|dorian|west|valve|87|pending
1227|ember|south|gasket|67|pending
1718|birch|west|pump|90|paid
1398|juno|west|valve|28|pending
1314|gale|south|cable|73|held
1619|gale|north|rotor|18|pending
1474|gale|north|rotor|16|pending
1586|dorian|south|sensor|16|shipped
1298|cobalt|north|cable|33|shipped
1452|ember|south|cable|70|shipped
1443|cobalt|north|cable|85|held
1198|acme|north|cable|10|pending
1632|birch|west|sensor|56|shipped
1465|dorian|south|frame|27|paid
1734|dorian|north|valve|86|paid
1339|gale|south|panel|14|shipped
1175|dorian|east|sensor|44|held
1418|ember|north|frame|16|shipped
1163|dorian|east|valve|35|paid
1515|dorian|east|gasket|92|pending
1203|gale|west|frame|85|paid
1677|ember|south|frame|74|shipped
1647|dorian|east|sensor|18|shipped
1268|ember|north|sensor|27|paid
1319|cobalt|west|sensor|89|paid
1231|acme|north|valve|69|paid
1259|dorian|east|rotor|61|pending
1484|ember|west|sensor|43|held
1626|acme|west|valve|70|held
1559|fulton|north|frame|93|held
1658|ember|north|cable|42|shipped
1469|juno|south|sensor|53|pending
1241|ionic|north|sensor|53|pending
1531|birch|south|sensor|30|pending
1396|birch|west|cable|34|pending
1597|fulton|south|frame|40|held
1189|dorian|east|sensor|77|shipped
1308|fulton|north|frame|57|pending
1491|birch|west|sensor|31|held
1614|fulton|north|pump|33|pending
1684|acme|east|gasket|74|paid
1247|gale|west|rotor|76|pending
1400|juno|north|valve|58|held
1192|ember|south|pump|64|paid
1497|acme|north|panel|93|held
1624|harbor|west|gasket|97|pending
1691|acme|east|frame|45|held
1226|dorian|west|sensor|11|paid
1275|fulton|south|frame|96|paid
1636|ionic|south|pump|13|shipped
1221|dorian|north|rotor|85|held
1414|harbor|west|gasket|48|shipped
1725|birch|north|panel|38|paid
1466|fulton|west|valve|90|paid
1698|cobalt|west|gasket|61|held
1644|dorian|north|sensor|31|pending
1215|cobalt|south|sensor|90|pending
1303|juno|south|pump|78|held
1665|acme|north|pump|29|shipped
1599|cobalt|south|frame|57|pending
1674|harbor|south|valve|47|shipped
1616|gale|east|cable|54|shipped
1502|ember|north|cable|91|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[{"tool": "cancel_order", "args": {"order_id": 1168}}, {"tool": "cancel_order", "args": {"order_id": 1179}}, {"tool": "cancel_order", "args": {"order_id": 1145}}, {"tool": "cancel_order", "args": {"order_id": 1159}}, {"tool": "restock", "args": {"item": "sensor", "qty": 77}}, {"tool": "cancel_order", "args": {"order_id": 1175}}, {"tool": "restock", "args": {"item": "sensor", "qty": 18}}, {"tool": "cancel_order", "args": {"order_id": 1515}}]wrongagentic.tools.ledger-v1conf 100% · 459ms · $0.001 · 181 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: $676
- kilo: $467
- echo: $244
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $336 from "lima" to "echo"
2. pay $469 from "echo" to "kilo"
3. pay $206 from "lima" to "kilo"
4. pay $358 from "kilo" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 336}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 25}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 469}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 206}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 8}},
{"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 358}}
]correctagentic.tools.triage-v1conf 100% · 334ms · $0.001 · 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 ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → okafor
- infra → silva
- payments → haddad
INCIDENTS:
1. "records missing after import" (category: data, priority 6)
2. "records missing after import" (category: data, priority 6)
3. "card declined at checkout" (category: payments, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}}
]wrongagentic.tools.context-load-v1conf 100% · 430ms · $0.001 · 84 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 (198 records, format: id|customer|region|item|qty|status):
```
1897|harbor|south|sensor|83|held
1400|birch|west|rotor|57|pending
1684|juno|west|valve|68|paid
1669|cobalt|east|rotor|42|pending
1241|harbor|north|gasket|63|shipped
1353|birch|east|frame|15|held
1775|dorian|east|valve|52|paid
1767|ionic|east|valve|98|held
1646|fulton|east|cable|39|held
1485|birch|south|pump|22|paid
1619|ionic|north|gasket|79|paid
1214|cobalt|east|cable|12|paid
1203|cobalt|north|sensor|26|pending
1239|ionic|south|pump|67|held
1634|gale|south|valve|74|pending
1796|ionic|east|rotor|14|shipped
1543|harbor|east|panel|87|paid
1433|birch|east|cable|81|pending
1944|acme|east|cable|27|paid
1825|birch|south|sensor|83|pending
1629|dorian|north|gasket|84|shipped
1658|acme|north|valve|14|paid
1623|fulton|east|valve|66|shipped
1927|ember|south|pump|42|shipped
1319|acme|south|rotor|23|held
1460|ember|south|gasket|29|held
1751|harbor|east|gasket|42|pending
1875|dorian|south|sensor|60|pending
1636|ionic|south|panel|32|pending
1438|dorian|east|sensor|92|pending
1779|fulton|north|valve|78|shipped
1678|dorian|east|rotor|11|pending
1476|ionic|west|rotor|73|paid
1344|gale|west|rotor|92|pending
1677|acme|south|rotor|96|paid
1914|harbor|west|rotor|38|shipped
1243|ionic|east|rotor|82|shipped
1196|cobalt|east|sensor|51|pending
1648|gale|north|gasket|30|shipped
1719|dorian|north|panel|29|held
1735|ionic|north|valve|96|pending
1293|dorian|north|sensor|85|held
1509|harbor|east|sensor|27|shipped
1600|acme|south|frame|47|paid
1287|juno|west|rotor|74|paid
1801|acme|north|sensor|44|pending
1258|ionic|west|sensor|83|pending
1555|ember|south|valve|46|shipped
1562|dorian|east|pump|71|paid
1182|cobalt|north|gasket|20|pending
1789|ionic|north|rotor|32|shipped
1455|ionic|north|rotor|57|held
1281|gale|east|panel|82|shipped
1568|dorian|west|gasket|77|pending
1362|fulton|north|cable|40|shipped
1423|dorian|west|rotor|51|shipped
1661|fulton|south|frame|77|pending
1705|harbor|north|gasket|73|paid
1469|juno|west|sensor|63|paid
1690|birch|north|pump|55|paid
1517|acme|north|pump|55|shipped
1397|ember|west|rotor|65|paid
1762|ember|north|pump|90|pending
1639|birch|west|frame|81|held
1920|acme|north|gasket|92|held
1584|harbor|west|gasket|84|held
1268|cobalt|south|rotor|37|shipped
1950|juno|west|sensor|57|pending
1567|dorian|west|rotor|55|paid
1874|birch|west|pump|10|shipped
1922|ionic|east|gasket|68|shipped
1930|acme|north|valve|93|paid
1208|cobalt|north|panel|71|held
1574|fulton|north|valve|89|held
1463|ionic|east|rotor|20|paid
1222|juno|east|frame|37|shipped
1392|ember|west|cable|69|paid
1247|dorian|west|rotor|22|shipped
1491|cobalt|south|rotor|14|shipped
1730|fulton|west|valve|79|pending
1300|ionic|south|gasket|60|pending
1847|juno|south|sensor|85|shipped
1333|gale|west|pump|29|pending
1857|harbor|west|cable|34|shipped
1186|cobalt|north|panel|89|shipped
1380|cobalt|west|rotor|30|paid
1907|cobalt|south|valve|44|paid
1515|dorian|north|frame|45|paid
1306|harbor|west|pump|74|paid
1326|gale|west|panel|57|pending
1183|cobalt|east|gasket|29|pending
1383|ionic|east|pump|62|held
1454|birch|south|pump|69|paid
1813|ionic|south|cable|82|pending
1790|ember|west|frame|42|shipped
1580|fulton|west|valve|70|pending
1709|birch|west|sensor|24|pending
1666|dorian|north|panel|90|held
1503|harbor|east|cable|32|paid
1305|ember|north|pump|45|pending
1259|gale|west|gasket|47|held
1373|gale|south|gasket|41|paid
1472|dorian|north|frame|17|pending
1477|harbor|east|pump|95|held
1413|gale|south|valve|48|shipped
1232|harbor|east|panel|93|held
1498|cobalt|north|rotor|37|paid
1817|ember|west|panel|90|shipped
1590|ionic|east|frame|17|pending
1618|juno|north|sensor|35|paid
1608|gale|south|cable|32|held
1591|gale|west|cable|43|held
1525|cobalt|east|sensor|78|pending
1586|dorian|south|panel|43|shipped
1868|cobalt|north|frame|66|held
1398|juno|west|rotor|63|held
1792|cobalt|south|cable|96|paid
1653|cobalt|east|pump|72|shipped
1864|fulton|west|frame|90|held
1851|dorian|south|rotor|21|shipped
1338|ember|north|sensor|95|held
1888|juno|north|gasket|71|held
1911|dorian|west|panel|16|held
1834|fulton|west|frame|57|paid
1531|juno|east|panel|86|paid
1827|dorian|west|sensor|35|shipped
1899|ionic|west|panel|72|shipped
1226|gale|east|valve|32|shipped
1593|ionic|east|gasket|24|shipped
1902|harbor|south|pump|18|paid
1713|harbor|east|sensor|25|paid
1738|juno|east|gasket|48|pending
1210|ember|north|cable|95|shipped
1807|dorian|west|panel|73|pending
1828|acme|north|gasket|78|held
1274|juno|east|frame|38|held
1631|ember|south|sensor|21|paid
1823|dorian|east|gasket|20|shipped
1207|cobalt|west|gasket|71|pending
1406|juno|north|gasket|28|held
1451|gale|east|sensor|31|held
1538|harbor|south|panel|88|held
1407|cobalt|south|gasket|46|pending
1279|fulton|south|panel|11|pending
1290|gale|north|frame|49|shipped
1318|dorian|west|cable|69|shipped
1601|fulton|south|panel|35|shipped
1700|ionic|south|sensor|24|held
1772|ionic|north|rotor|14|paid
1350|acme|south|panel|52|paid
1675|dorian|west|sensor|70|shipped
1453|birch|west|valve|48|shipped
1389|fulton|east|sensor|46|shipped
1444|fulton|south|gasket|89|pending
1224|dorian|east|rotor|58|paid
1527|ionic|south|cable|75|pending
1935|juno|east|sensor|13|paid
1696|acme|east|frame|67|held
1615|juno|north|pump|25|held
1193|cobalt|north|cable|90|pending
1551|cobalt|west|sensor|93|paid
1238|gale|east|cable|12|pending
1569|acme|east|rotor|26|shipped
1915|acme|south|panel|43|shipped
1199|cobalt|north|cable|97|held
1252|acme|west|pump|49|pending
1890|birch|east|pump|62|held
1347|acme|east|cable|40|held
1386|birch|west|sensor|37|pending
1478|birch|west|pump|92|shipped
1784|dorian|west|valve|95|shipped
1628|cobalt|south|pump|52|pending
1880|birch|south|rotor|94|paid
1523|dorian|west|pump|98|pending
1218|cobalt|east|sensor|84|pending
1511|juno|south|gasket|25|shipped
1724|dorian|south|rotor|83|shipped
1883|dorian|south|rotor|46|pending
1721|birch|east|pump|20|held
1611|juno|west|frame|42|shipped
1366|ionic|west|sensor|14|pending
1312|birch|west|valve|27|shipped
1722|dorian|west|valve|97|shipped
1323|ionic|south|frame|86|paid
1840|juno|west|pump|44|paid
1262|harbor|north|sensor|71|paid
1757|gale|west|pump|10|held
1426|cobalt|east|rotor|88|shipped
1940|acme|east|cable|65|pending
1632|dorian|north|sensor|79|paid
1370|cobalt|north|rotor|29|shipped
1548|cobalt|north|cable|30|shipped
1537|harbor|north|panel|25|paid
1417|dorian|east|sensor|35|shipped
1358|cobalt|west|panel|14|pending
1229|gale|south|pump|12|pending
1663|fulton|south|frame|39|shipped
1744|juno|east|panel|88|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, 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": 1203}}, {"tool": "cancel_order", "args": {"order_id": 1182}}, {"tool": "cancel_order", "args": {"order_id": 1193}}, {"tool": "cancel_order", "args": {"order_id": 1199}}]correctagentic.tools.deploy-v1conf 100% · 414ms · $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: auth-svc, billing
- billing: auth-svc, search
- auth-svc: (none)
- search: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]wrongagentic.tools.ledger-v1conf 100% · 376ms · $0.001 · 178 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $524
- oscar: $515
- echo: $427
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $593 from "echo" to "delta"
2. pay $440 from "delta" to "echo"
3. pay $582 from "echo" to "delta"
4. pay $476 from "oscar" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 166}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 593}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 440}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 155}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 582}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 476}}
]wrongagentic.tools.context-load-v1conf 100% · 552ms · $0.001 · 161 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 (189 records, format: id|customer|region|item|qty|status):
```
1296|acme|north|rotor|19|paid
1183|gale|north|panel|34|shipped
1299|ember|west|panel|35|shipped
1206|acme|west|cable|17|shipped
1672|gale|south|rotor|85|shipped
1409|acme|north|gasket|14|paid
1647|acme|east|gasket|53|paid
1418|harbor|south|valve|19|held
1403|fulton|east|pump|10|pending
1522|fulton|west|frame|11|pending
1810|ionic|east|sensor|51|held
1858|ionic|south|gasket|46|held
1682|gale|west|gasket|77|held
1248|gale|south|rotor|38|shipped
1729|ember|west|rotor|35|shipped
1226|dorian|south|gasket|73|shipped
1286|acme|east|gasket|21|held
1483|gale|west|valve|94|paid
1806|cobalt|north|pump|61|pending
1791|dorian|north|sensor|66|held
1264|harbor|north|valve|69|pending
1422|cobalt|east|rotor|11|paid
1196|juno|west|sensor|25|pending
1815|juno|west|frame|90|paid
1665|dorian|west|frame|50|pending
1105|birch|south|pump|90|pending
1261|gale|north|cable|23|held
1721|gale|west|rotor|90|paid
1355|acme|north|frame|61|shipped
1677|dorian|east|panel|95|shipped
1315|juno|east|cable|68|held
1856|birch|east|cable|11|shipped
1754|birch|north|pump|28|paid
1695|ionic|south|cable|14|held
1149|ionic|east|cable|52|pending
1716|dorian|north|gasket|57|paid
1713|gale|north|sensor|75|paid
1214|ionic|east|panel|81|shipped
1755|acme|north|rotor|66|paid
1137|gale|east|sensor|78|pending
1181|juno|east|rotor|69|shipped
1294|fulton|east|sensor|21|held
1790|ionic|east|panel|30|shipped
1627|gale|north|gasket|77|pending
1549|cobalt|east|frame|54|shipped
1688|dorian|west|gasket|12|paid
1542|birch|east|frame|13|paid
1608|birch|east|sensor|42|paid
1593|acme|south|rotor|70|held
1760|harbor|west|panel|59|pending
1529|ember|south|cable|70|held
1824|juno|south|panel|46|pending
1588|acme|north|sensor|63|pending
1120|birch|east|rotor|78|held
1487|dorian|east|sensor|30|shipped
1534|ionic|south|sensor|46|pending
1160|cobalt|south|rotor|81|paid
1622|birch|north|valve|14|held
1494|harbor|north|panel|46|paid
1845|juno|west|sensor|39|pending
1819|harbor|east|frame|11|shipped
1605|fulton|south|valve|72|held
1461|cobalt|south|sensor|17|shipped
1697|ionic|south|frame|84|paid
1783|ionic|north|cable|88|pending
1798|acme|east|rotor|97|held
1600|acme|east|panel|19|shipped
1781|acme|east|panel|12|paid
1840|birch|south|pump|45|pending
1451|ionic|north|valve|90|held
1230|ember|south|pump|84|held
1545|ember|west|rotor|49|paid
1383|harbor|north|panel|89|paid
1562|ember|north|gasket|87|shipped
1246|acme|west|frame|63|shipped
1482|birch|south|valve|47|held
1344|acme|north|pump|46|paid
1654|gale|east|panel|41|shipped
1288|ionic|west|pump|29|shipped
1620|birch|east|sensor|27|held
1854|birch|east|rotor|87|shipped
1204|gale|west|frame|24|pending
1470|juno|south|frame|12|shipped
1613|acme|east|panel|25|pending
1131|birch|east|pump|92|paid
1434|acme|south|valve|48|paid
1306|acme|north|valve|27|shipped
1579|birch|east|rotor|19|shipped
1741|fulton|north|panel|41|pending
1251|ionic|south|sensor|93|shipped
1353|ember|east|gasket|79|paid
1177|gale|south|sensor|12|held
1863|ionic|north|gasket|40|shipped
1291|juno|west|frame|48|paid
1829|birch|west|cable|19|shipped
1728|juno|north|gasket|87|held
1415|fulton|east|gasket|53|paid
1575|dorian|north|gasket|63|pending
1212|ionic|north|rotor|40|shipped
1831|cobalt|south|valve|22|held
1553|acme|east|sensor|35|shipped
1397|birch|north|gasket|68|paid
1800|ionic|west|pump|45|paid
1359|cobalt|west|frame|36|held
1438|juno|west|rotor|52|shipped
1507|harbor|south|rotor|55|paid
1331|gale|east|gasket|95|pending
1455|gale|west|cable|82|shipped
1265|gale|south|panel|30|paid
1347|fulton|east|rotor|65|paid
1276|fulton|south|valve|69|paid
1392|ionic|south|valve|96|paid
1241|dorian|north|sensor|20|shipped
1236|acme|west|pump|72|pending
1374|fulton|south|panel|43|held
1583|acme|east|cable|44|paid
1269|ionic|north|valve|61|pending
1566|cobalt|east|cable|27|paid
1429|acme|south|valve|90|held
1511|gale|west|cable|61|shipped
1367|cobalt|north|valve|24|shipped
1334|cobalt|north|valve|42|pending
1751|dorian|west|gasket|45|shipped
1512|ember|south|cable|87|shipped
1170|harbor|east|panel|91|held
1341|acme|north|rotor|47|paid
1221|ember|south|pump|27|held
1850|ionic|north|panel|61|held
1388|harbor|north|panel|11|held
1516|gale|north|rotor|70|paid
1705|ember|east|frame|70|shipped
1745|ionic|west|gasket|43|held
1194|fulton|north|frame|68|held
1123|birch|east|sensor|28|pending
1190|juno|south|valve|70|pending
1203|ionic|south|pump|52|held
1308|ember|north|frame|88|held
1437|birch|north|gasket|43|shipped
1836|cobalt|west|cable|92|held
1702|ember|east|gasket|32|paid
1129|birch|north|rotor|92|pending
1642|gale|west|panel|75|held
1168|harbor|south|panel|27|held
1444|cobalt|south|sensor|51|shipped
1535|harbor|west|sensor|22|shipped
1501|cobalt|west|gasket|69|paid
1792|ionic|east|rotor|81|held
1381|fulton|south|frame|43|pending
1145|juno|east|gasket|27|pending
1637|fulton|west|rotor|20|held
1734|cobalt|east|pump|57|shipped
1325|gale|south|rotor|21|shipped
1533|birch|west|valve|66|shipped
1488|juno|north|pump|46|pending
1113|birch|east|gasket|55|pending
1141|birch|east|sensor|92|held
1393|dorian|south|gasket|38|pending
1465|fulton|south|frame|65|shipped
1155|ionic|north|sensor|15|pending
1281|birch|west|pump|26|shipped
1752|fulton|east|cable|15|paid
1558|fulton|north|frame|41|held
1472|birch|east|cable|82|shipped
1258|birch|west|cable|89|shipped
1362|fulton|west|pump|57|pending
1633|birch|east|valve|40|held
1489|cobalt|east|frame|51|pending
1839|dorian|east|panel|28|pending
1592|juno|north|cable|60|pending
1099|birch|east|rotor|56|pending
1777|birch|east|valve|71|shipped
1813|ionic|west|gasket|73|shipped
1578|ember|west|cable|55|pending
1612|ionic|north|valve|90|paid
1443|juno|north|sensor|55|shipped
1161|ionic|north|panel|86|shipped
1772|ember|north|valve|80|shipped
1321|birch|west|gasket|89|pending
1114|birch|north|cable|18|pending
1712|cobalt|east|sensor|56|paid
1801|ionic|west|valve|11|paid
1658|ember|north|pump|48|held
1538|acme|north|frame|58|shipped
1573|acme|west|gasket|61|held
1732|dorian|east|gasket|16|paid
1767|birch|south|valve|72|held
1112|birch|east|sensor|79|paid
1580|acme|north|pump|10|pending
1477|juno|east|rotor|95|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, 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": 1123}}, {"tool": "cancel_order", "args": {"order_id": 1145}}, {"tool": "cancel_order", "args": {"order_id": 1113}}, {"tool": "restock", "args": {"item": "rotor", "qty": 56}}, {"tool": "cancel_order", "args": {"order_id": 1141}}, {"tool": "cancel_order", "args": {"order_id": 1620}}, {"tool": "cancel_order", "args": {"order_id": 1112}}, {"tool": "cancel_order", "args": {"order_id": 1633}}]correctagentic.tools.triage-v1conf 100% · 345ms · $0.001 · 176 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → silva
- auth → tanaka
- payments → rivera
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 4)
2. "cannot reset password" (category: auth, priority 4)
3. "dashboard shows stale numbers" (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": "dashboard shows stale numbers", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.deploy-v1conf 100% · 328ms · $0.000 · 98 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: reports
- reports: (none)
- auth-svc: gateway, reports
- gateway: 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "search"}}
]wrongagentic.tools.ledger-v1conf 100% · 341ms · $0.001 · 209 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $254
- echo: $488
- alpha: $611
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $111 from "alpha" to "kilo"
2. pay $210 from "alpha" to "kilo"
3. pay $135 from "alpha" to "kilo"
4. pay $233 from "echo" to "alpha"
5. pay $580 from "echo" 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": "alpha", "to": "kilo", "amount": 111}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 210}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 135}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 135}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 233}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 92}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 580}}
]wrongagentic.tools.triage-v1conf 100% · 365ms · $0.001 · 204 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 → okafor
- infra → silva
- auth → dubois
INCIDENTS:
1. "refund double-charged" (category: payments, priority 2)
2. "webhooks not delivered" (category: infra, priority 4)
3. "SSO loop on login" (category: auth, priority 5)
4. "SSO loop on login" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]wrongagentic.tools.context-load-v1conf 100% · 828ms · $0.002 · 124 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (292 records, format: id|customer|region|item|qty|status):
```
1642|gale|east|panel|85|held
1692|fulton|east|frame|88|pending
1901|harbor|south|gasket|30|paid
1574|cobalt|south|gasket|24|pending
1551|harbor|south|valve|26|pending
1584|cobalt|south|gasket|89|shipped
1614|dorian|south|pump|58|paid
1377|ember|east|valve|26|held
1605|cobalt|west|rotor|59|paid
1507|ember|east|sensor|17|held
2192|gale|south|sensor|67|pending
1328|juno|south|sensor|88|held
1388|juno|south|pump|20|paid
1430|fulton|south|pump|35|held
1631|juno|west|gasket|96|shipped
1788|birch|north|gasket|69|paid
2370|ionic|east|sensor|54|pending
1765|birch|south|panel|93|shipped
2048|fulton|north|panel|90|paid
1677|juno|west|sensor|74|held
1546|gale|east|panel|48|pending
1955|birch|west|cable|74|shipped
2319|juno|east|sensor|29|shipped
1461|cobalt|east|pump|33|paid
1938|cobalt|north|gasket|37|paid
2155|ember|west|rotor|13|held
1221|gale|north|valve|67|pending
1405|cobalt|south|gasket|70|shipped
1325|fulton|west|gasket|65|shipped
1344|gale|north|rotor|80|held
1441|harbor|east|panel|90|shipped
1669|acme|west|sensor|49|paid
1567|juno|south|valve|27|pending
1300|gale|west|panel|82|shipped
1865|cobalt|south|rotor|35|paid
2035|juno|north|valve|99|pending
1805|dorian|north|panel|83|held
1843|birch|east|gasket|64|paid
2116|dorian|east|gasket|17|held
1203|gale|west|sensor|39|held
1936|fulton|south|sensor|62|paid
1630|juno|north|rotor|35|shipped
1646|fulton|east|panel|79|shipped
2236|acme|south|frame|33|paid
2136|gale|east|sensor|70|shipped
2229|cobalt|west|cable|65|shipped
1745|fulton|north|gasket|29|pending
2073|fulton|south|pump|96|shipped
2366|acme|west|panel|19|shipped
1699|acme|south|sensor|12|paid
1189|gale|south|sensor|93|pending
1214|gale|west|rotor|37|paid
1216|gale|west|panel|45|pending
2111|juno|south|panel|15|pending
1616|acme|south|panel|84|paid
1794|ember|east|cable|45|shipped
1798|juno|east|cable|86|paid
1679|acme|north|panel|56|paid
2102|acme|east|sensor|58|pending
1608|fulton|south|valve|12|shipped
1516|birch|west|panel|34|held
1857|dorian|south|sensor|41|held
1634|ember|north|pump|21|shipped
2114|juno|east|pump|71|pending
1196|gale|west|frame|16|shipped
1252|dorian|west|frame|74|paid
1928|harbor|north|rotor|61|paid
1776|ember|south|frame|85|held
1419|fulton|east|panel|67|shipped
2353|dorian|west|sensor|26|pending
1520|acme|south|panel|47|held
2059|dorian|east|cable|95|paid
2009|acme|south|pump|65|held
2250|fulton|south|sensor|74|shipped
1342|ember|south|gasket|96|pending
2198|juno|west|panel|95|pending
2166|ionic|west|frame|36|shipped
2134|harbor|west|frame|56|held
2025|acme|east|valve|33|pending
1637|ember|north|sensor|50|held
1476|cobalt|north|frame|59|paid
1945|ionic|south|valve|75|paid
1513|dorian|south|cable|49|pending
2070|fulton|south|pump|67|shipped
1910|gale|west|gasket|92|shipped
1724|acme|west|frame|73|shipped
2173|cobalt|west|panel|13|held
1269|acme|east|cable|59|paid
1199|gale|west|gasket|73|pending
2066|ionic|west|rotor|57|held
2292|acme|west|valve|97|held
2107|juno|east|rotor|18|shipped
1881|fulton|west|gasket|79|pending
1347|birch|west|rotor|57|paid
2186|fulton|west|frame|94|pending
1364|harbor|west|gasket|71|pending
1893|ionic|east|frame|40|held
1705|dorian|south|sensor|33|pending
2058|ember|south|valve|61|paid
1602|ember|south|panel|77|paid
1276|acme|east|panel|83|held
1711|juno|west|panel|99|shipped
1979|cobalt|south|pump|38|held
1272|dorian|east|sensor|85|shipped
1701|ionic|east|gasket|54|shipped
2001|fulton|north|gasket|26|pending
1658|juno|south|gasket|63|paid
2300|ember|north|frame|91|shipped
1836|birch|east|panel|73|shipped
2275|fulton|south|frame|39|paid
1651|dorian|west|frame|34|paid
1515|fulton|north|pump|71|paid
1541|fulton|south|panel|96|shipped
1960|cobalt|south|panel|14|held
1371|harbor|south|rotor|33|held
1334|dorian|north|cable|69|paid
2088|fulton|east|gasket|17|paid
2014|dorian|north|rotor|56|paid
2159|gale|north|sensor|17|pending
2241|ember|east|sensor|36|held
2295|ember|north|sensor|68|paid
1426|gale|west|frame|54|held
1254|gale|west|panel|10|held
1623|acme|east|gasket|43|pending
1308|cobalt|east|sensor|26|pending
1997|cobalt|north|valve|39|paid
1462|birch|west|rotor|12|paid
1464|acme|south|gasket|74|shipped
2242|cobalt|east|valve|85|paid
1505|gale|south|frame|91|pending
1454|dorian|north|gasket|55|pending
1826|harbor|north|gasket|61|shipped
1667|cobalt|west|frame|88|pending
1966|dorian|north|frame|32|shipped
1434|gale|east|cable|46|pending
2213|acme|east|cable|50|shipped
1597|acme|east|cable|13|pending
1990|cobalt|south|frame|51|paid
2299|gale|east|sensor|50|held
1847|birch|east|pump|78|paid
2125|acme|south|frame|26|paid
1998|ionic|east|frame|61|held
2109|acme|south|frame|95|shipped
1450|birch|west|rotor|85|shipped
1262|harbor|east|cable|37|shipped
1184|gale|west|panel|76|pending
1411|acme|south|cable|98|held
1899|harbor|east|frame|54|paid
1882|ionic|west|frame|85|held
1314|dorian|north|rotor|45|pending
2061|ember|west|frame|36|held
2052|dorian|north|gasket|90|pending
1379|cobalt|west|pump|64|shipped
2314|acme|south|panel|13|pending
1493|ionic|south|pump|15|held
1977|gale|west|rotor|14|held
1591|acme|north|pump|71|pending
1859|cobalt|west|cable|20|paid
1752|birch|west|frame|89|pending
1501|cobalt|south|pump|94|paid
1731|birch|west|sensor|99|shipped
1340|ember|east|gasket|29|paid
2007|ionic|east|sensor|74|held
1240|dorian|east|sensor|76|pending
2028|dorian|north|cable|35|pending
2206|fulton|east|cable|13|paid
2042|juno|south|valve|37|shipped
1801|dorian|north|pump|56|shipped
1993|birch|south|gasket|99|pending
1233|acme|south|pump|63|held
1251|cobalt|north|frame|65|pending
2352|birch|west|sensor|23|pending
2221|fulton|west|sensor|68|shipped
1770|dorian|east|frame|64|shipped
1230|juno|east|valve|25|shipped
1916|ionic|west|valve|82|paid
2019|ember|south|rotor|35|pending
1224|gale|west|sensor|70|held
2123|dorian|north|pump|68|shipped
2053|dorian|south|rotor|25|pending
2093|cobalt|east|valve|35|pending
1827|birch|north|frame|26|pending
1448|ionic|north|cable|22|pending
1414|acme|east|valve|40|held
1874|harbor|north|sensor|84|held
1333|birch|east|sensor|27|held
1281|dorian|east|rotor|89|pending
1833|ionic|west|frame|37|held
1378|juno|south|gasket|92|held
1758|fulton|west|rotor|52|held
1554|fulton|north|gasket|16|paid
1822|acme|north|pump|59|shipped
1710|dorian|north|gasket|77|pending
2364|harbor|north|rotor|21|held
1983|gale|west|gasket|87|paid
1526|ember|south|panel|46|paid
1870|birch|east|rotor|43|shipped
1484|dorian|east|cable|32|paid
1245|harbor|north|gasket|52|shipped
2082|cobalt|north|frame|65|shipped
2257|ember|west|gasket|13|pending
2100|fulton|north|pump|61|pending
1892|dorian|east|valve|47|pending
2085|juno|north|sensor|40|shipped
1817|ionic|north|frame|30|pending
2323|ember|east|panel|87|held
1577|dorian|south|sensor|93|held
1293|cobalt|south|panel|45|shipped
2145|gale|north|valve|98|shipped
1744|fulton|east|panel|45|held
2264|birch|north|frame|58|pending
1748|dorian|east|gasket|43|pending
2224|gale|east|sensor|35|pending
1288|ionic|south|frame|35|shipped
2216|dorian|south|sensor|98|pending
2076|cobalt|south|sensor|50|shipped
1762|juno|north|frame|55|pending
1967|birch|east|sensor|49|paid
2234|dorian|east|gasket|30|held
1553|cobalt|south|rotor|19|held
1261|harbor|west|sensor|43|shipped
1210|gale|east|pump|71|pending
1536|fulton|east|sensor|82|held
2036|ionic|east|rotor|32|shipped
1480|ionic|east|panel|84|shipped
1782|gale|south|cable|14|pending
1302|juno|east|valve|30|pending
1854|fulton|west|valve|69|pending
2179|ionic|east|panel|39|paid
1500|gale|east|pump|93|shipped
1432|birch|south|pump|49|pending
2247|cobalt|north|gasket|83|shipped
1686|dorian|north|frame|54|held
2359|ember|south|rotor|45|held
2330|fulton|north|gasket|55|paid
2316|juno|east|sensor|87|shipped
1356|acme|west|gasket|52|held
2268|gale|east|frame|70|pending
1399|juno|west|gasket|79|paid
1949|fulton|north|sensor|42|pending
1971|ionic|west|cable|76|paid
2372|dorian|south|pump|92|pending
2064|juno|south|rotor|36|paid
1365|fulton|west|cable|96|paid
2354|juno|north|gasket|91|shipped
1286|fulton|west|rotor|86|paid
2004|juno|west|frame|87|held
2343|dorian|south|panel|61|pending
1811|juno|west|gasket|84|shipped
1933|gale|south|valve|25|held
1227|ember|north|cable|15|held
1717|birch|east|valve|99|held
1205|gale|west|valve|68|pending
1953|juno|east|frame|71|pending
1903|fulton|west|gasket|47|paid
1560|birch|south|cable|23|shipped
2204|harbor|north|sensor|72|paid
2148|acme|east|panel|63|paid
2347|juno|south|sensor|75|pending
1533|dorian|south|frame|66|pending
2279|acme|west|valve|49|held
1381|ember|east|panel|14|held
1647|cobalt|north|panel|29|held
1264|ember|east|rotor|76|shipped
1923|fulton|west|frame|97|pending
1353|fulton|west|sensor|75|shipped
1780|birch|north|pump|13|pending
1581|ember|north|rotor|71|pending
1671|harbor|north|frame|95|pending
2128|birch|south|rotor|72|paid
2307|juno|east|panel|82|pending
1393|fulton|south|cable|61|shipped
1835|harbor|north|gasket|14|shipped
1773|gale|east|valve|88|held
1832|harbor|west|gasket|69|paid
1475|harbor|south|valve|41|held
1486|ionic|east|rotor|59|pending
2336|ember|east|valve|89|held
1200|gale|south|gasket|59|pending
1660|juno|south|rotor|20|held
2140|cobalt|south|rotor|75|held
1357|gale|east|panel|58|pending
1599|fulton|north|valve|74|paid
2286|fulton|north|valve|93|shipped
1753|gale|south|gasket|88|pending
1318|gale|north|gasket|55|paid
1312|fulton|south|cable|30|held
1845|ember|north|cable|53|shipped
1887|ember|west|rotor|95|held
1737|fulton|east|pump|88|shipped
2332|birch|south|valve|56|paid
1470|ionic|south|rotor|18|shipped
```
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 > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[{"tool": "cancel_order", "args": {"order_id": 1254}}, {"tool": "cancel_order", "args": {"order_id": 1426}}, {"tool": "cancel_order", "args": {"order_id": 1977}}, {"tool": "restock", "args": {"item": "sensor", "qty": 70}}, {"tool": "cancel_order", "args": {"order_id": 2159}}, {"tool": "cancel_order", "args": {"order_id": 2224}}]correctagentic.tools.deploy-v1conf 100% · 396ms · $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):
- billing: (none)
- gateway: reports
- reports: billing
- auth-svc: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}}
]wrongagentic.tools.ledger-v1conf 100% · 490ms · $0.001 · 157 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $195
- delta: $668
- kilo: $463
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $247 from "delta" to "oscar"
2. pay $234 from "kilo" to "oscar"
3. pay $252 from "kilo" to "delta"
4. pay $510 from "kilo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 247}},
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 234}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 266}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 252}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 510}}
]wrongagentic.tools.triage-v1conf 100% · 352ms · $0.001 · 228 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → dubois
- auth → tanaka
- data → okafor
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 5)
2. "locked out after 2FA change" (category: auth, priority 5)
3. "records missing after import" (category: data, priority 9)
4. "invoice total wrong" (category: payments, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.triage-v1anchorconf 100% · 1.5s · $0.001 · 225 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": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1anchorconf 100% · 497ms · $0.001 · 124 tok
model answer:
[{"tool": "cancel_order", "args": {"order_id": 1394}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "cancel_order", "args": {"order_id": 1682}}, {"tool": "cancel_order", "args": {"order_id": 1357}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}]correctagentic.tools.deploy-v1anchorconf 100% · 372ms · $0.000 · 97 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% · 348ms · $0.001 · 211 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 223}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 10/30 correct
wrongcode.trace.python-v1conf 100% · 2.2s · $0.000 · 12 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 12
while total + v <= 75:
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:
48correctcode.trace.nested-v1conf 100% · 1.1s · $0.005 · 2055 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
252wrongcode.trace.js-v1conf 100% · 369ms · $0.000 · 12 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
396wrongcode.trace.nested-v1conf 100% · 321ms · $0.003 · 1109 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 4 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:
171wrongcode.trace.js-v1conf 100% · 396ms · $0.000 · 12 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
174wrongcode.trace.nested-v1conf 100% · 472ms · $0.005 · 1940 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
27wrongcode.trace.python-v1conf 100% · 412ms · $0.000 · 12 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 50:
if v % 6 != 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:
28wrongcode.trace.js-v1conf 100% · 802ms · $0.000 · 12 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 5) .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:
70correctcode.trace.nested-v1conf 100% · 370ms · $0.004 · 1676 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 6 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
495wrongcode.trace.python-v1conf 100% · 348ms · $0.000 · 12 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 8
while total + v <= 118:
if v % 5 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
88wrongcode.trace.js-v1conf 100% · 353ms · $0.000 · 12 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 4) .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:
126correctcode.trace.nested-v1conf 100% · 384ms · $0.004 · 1461 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
252wrongcode.trace.python-v1conf 100% · 391ms · $0.000 · 12 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 105:
if v % 4 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
63wrongcode.trace.js-v1conf 100% · 358ms · $0.000 · 14 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 5) .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:
165correctcode.trace.nested-v1conf 100% · 357ms · $0.004 · 1734 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
293correctcode.trace.python-v1conf 100% · 348ms · $0.000 · 12 tok
question
What does this Python program print?
```python
total = 0
v = 3
while total + v <= 88:
if v % 3 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
60wrongcode.trace.js-v1conf 100% · 417ms · $0.000 · 12 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 5) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
330correctcode.trace.nested-v1conf 100% · 573ms · $0.004 · 1498 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
221wrongcode.trace.python-v1conf 100% · 388ms · $0.000 · 12 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 97:
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:
35wrongcode.trace.js-v1conf 100% · 1.0s · $0.000 · 14 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
126correctcode.trace.nested-v1conf 100% · 310ms · $0.004 · 1556 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
108correctcode.trace.python-v1conf 100% · 356ms · $0.000 · 12 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 31:
if v % 4 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
14wrongcode.trace.js-v1conf 100% · 378ms · $0.000 · 12 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 * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
441correctcode.trace.nested-v1conf 100% · 361ms · $0.004 · 1708 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
177wrongcode.trace.python-v1conf 100% · 377ms · $0.000 · 12 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 117:
if v % 3 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
126wrongcode.trace.js-v1conf 100% · 360ms · $0.000 · 12 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13]; 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:
63correctcode.trace.nested-v1anchorconf 100% · 428ms · $0.004 · 1740 tok
model answer:
283wrongcode.trace.python-v1anchorconf 100% · 415ms · $0.000 · 12 tok
model answer:
84wrongcode.trace.js-v1anchorconf 100% · 333ms · $0.000 · 12 tok
model answer:
49wrongcode.trace.python-v1anchorconf 100% · 461ms · $0.000 · 12 tok
model answer:
42instruction following 13/30 correct
wrongif.constraints.stack-v1conf 100% · 458ms · $0.000 · 26 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "ember" and the last word must be "orbit". 3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember lights dance as nova shines, nova glows, streets hum, stars orbitwrongif.format.acronym-v1conf 100% · 412ms · $0.000 · 16 tok
question
Take the third letter of each of these words, in order: nova, ember, quartz, orbit, prism, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VBEODDcorrectif.format.repeat-v1conf 100% · 377ms · $0.000 · 36 tok
question
Write the word "falcon" in uppercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FALCON-FALCON-FALCON-FALCON-FALCON-FALCON-FALCON-FALCON-FALCONwrongif.constraints.stack-v1conf 100% · 334ms · $0.000 · 32 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "quartz" and the last word must be "delta". 3. Use the word "echo" 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 grinds old gears with steady rhythm, echo through time, echo whispers, rust binds steel paths to deltawrongif.format.acronym-v1conf 100% · 360ms · $0.000 · 13 tok
question
Take the third letter of each of these words, in order: lumen, zephyr, cedar, echo, nova, flint. 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:
ENEAFcorrectif.format.repeat-v1conf 100% · 381ms · $0.000 · 18 tok
question
Write the word "lumen" 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:
LUMEN/LUMEN/LUMENwrongif.constraints.stack-v1conf 100% · 326ms · $0.000 · 25 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "echo" and the last word must be "cedar". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo whispers across waves where zephyr dances zephyr sings ancient cedarwrongif.format.acronym-v1conf 100% · 401ms · $0.000 · 13 tok
question
Take the third letter of each of these words, in order: zephyr, delta, nova, prism, drift, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PHARDTcorrectif.format.repeat-v1conf 100% · 368ms · $0.000 · 21 tok
question
Write the word "lumen" in capitalized form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LUMEN_LUMEN_LUMEN_LUMENwrongif.constraints.stack-v1conf 100% · 327ms · $0.000 · 29 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "orbit" and the last word must be "zephyr". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit through frost where echo whispers, echo lingers, echo fades soft zephyrwrongif.format.acronym-v1conf 100% · 344ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: echo, lumen, falcon, flint. 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:
UEFNcorrectif.format.repeat-v1conf 100% · 378ms · $0.000 · 23 tok
question
Write the word "cedar" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR_CEDAR_CEDAR_CEDARwrongif.constraints.stack-v1conf 100% · 360ms · $0.000 · 27 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "falcon" and the last word must be "echo". 3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon flies high through wind, past flint stones, over flint hills, ending with echowrongif.format.acronym-v1conf 100% · 372ms · $0.000 · 14 tok
question
Take the second letter of each of these words, in order: basalt, comet, echo, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEEDcorrectif.format.repeat-v1conf 100% · 499ms · $0.000 · 33 tok
question
Write the word "lumen" in uppercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMENwrongif.constraints.stack-v1conf 100% · 292ms · $0.000 · 27 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "nova" and the last word must be "comet". 3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova winter breathes softly through frosty windows a prism shines another prism glows quiet cometcorrectif.format.acronym-v1conf 100% · 345ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: comet, basalt, ember, 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:
CBEZcorrectif.format.repeat-v1conf 100% · 331ms · $0.000 · 16 tok
question
Write the word "ember" in uppercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EMBER-EMBER-EMBERwrongif.constraints.stack-v1conf 100% · 341ms · $0.000 · 21 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "nova" and the last word must be "cedar". 3. Use the word "lumen" 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 lights the path with lumen and lumen through ancient cedarwrongif.format.acronym-v1conf 100% · 361ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: lumen, flint, tundra, echo, ember, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LFTENcorrectif.format.repeat-v1conf 100% · 310ms · $0.000 · 26 tok
question
Write the word "drift" in capitalized form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DRIFT-DRIFT-DRIFT-DRIFT-DRIFT-DRIFT-DRIFT-DRIFTwrongif.constraints.stack-v1conf 100% · 274ms · $0.000 · 22 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "echo" and the last word must be "falcon". 3. Use the word "comet" 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:
echo the comet old machine comet spins comet through time to falconcorrectif.format.acronym-v1conf 100% · 347ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: cedar, zephyr, tundra, delta, 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:
CZTDBcorrectif.format.repeat-v1conf 100% · 384ms · $0.000 · 18 tok
question
Write the word "prism" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PRISM_PRISM_PRISM_PRISMwrongif.constraints.stack-v1conf 100% · 331ms · $0.000 · 29 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "zephyr" and the last word must be "ember". 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:
zephyr whispers through tundra, across vast plains, over tundra, ending as emberwrongif.format.acronym-v1conf 100% · 383ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: prism, drift, falcon, lumen, 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:
RFLCEcorrectif.format.repeat-v1anchorconf 100% · 333ms · $0.000 · 26 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOwrongif.constraints.stack-v1anchorconf 100% · 531ms · $0.000 · 34 tok
model answer:
drift through glowing streets, each lumen bright, another lumen shines, a third lumen calls, city pulses into orbitcorrectif.format.repeat-v1anchorconf 100% · 647ms · $0.000 · 36 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 337ms · $0.000 · 13 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 624ms · $0.000 · 13 tok
question
What is the Kazakh capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 310ms · $0.000 · 11 tok
question
Name the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 367ms · $0.000 · 13 tok
question
Identify the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 620ms · $0.000 · 14 tok
question
Name the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 338ms · $0.000 · 14 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 350ms · $0.000 · 11 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 326ms · $0.000 · 14 tok
question
What is the author of "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 361ms · $0.000 · 11 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:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 360ms · $0.000 · 13 tok
question
What is the Kazakh capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 346ms · $0.000 · 15 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 396ms · $0.000 · 13 tok
question
What is the Kazakh capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 286ms · $0.000 · 16 tok
question
Identify the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 2.3s · $0.000 · 11 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 361ms · $0.000 · 11 tok
question
Name the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 337ms · $0.000 · 14 tok
question
Identify the author of "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 Achebecorrectknowledge.fr.factbank-v2conf 100% · 356ms · $0.000 · 18 tok
question
Name the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 336ms · $0.000 · 11 tok
question
What is 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 756ms · $0.000 · 14 tok
question
What is the writer of the novel "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 323ms · $0.000 · 14 tok
question
Identify the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 318ms · $0.000 · 11 tok
question
Name the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 354ms · $0.000 · 13 tok
question
Identify the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 322ms · $0.000 · 13 tok
question
Identify the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 287ms · $0.000 · 11 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 345ms · $0.000 · 11 tok
question
What is the Australian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 340ms · $0.000 · 16 tok
question
Identify the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 346ms · $0.000 · 14 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 Achebecorrectknowledge.fr.factbank-v2anchorconf 100% · 333ms · $0.000 · 13 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 312ms · $0.000 · 13 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 342ms · $0.000 · 14 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 316ms · $0.000 · 11 tok
model answer:
Leadmath 10/30 correct
wrongmath.chained.pipeline-v1conf 100% · 408ms · $0.000 · 14 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 26 × 37. Step 2: Q = P × 9 − 464. 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:
160correctmath.algebra.system-v2conf 100% · 369ms · $0.001 · 328 tok
question
Solve the system, then answer the derived question. 7x + 8y = -144 3x − 2y = -40 What is the value of 2x − 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:
-24wrongmath.counterfactual.base-v1conf 100% · 361ms · $0.000 · 15 tok
question
Work strictly in base 11. Add the base-11 numbers 226A and 505. 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:
73Awrongmath.percent.chain-v2conf 100% · 348ms · $0.000 · 15 tok
question
An inventory starts at 7000 units. The delivery van has a 142-liter fuel tank. In the first month the inventory grows by 36%. The delivery van has a 77-liter fuel tank. The next month it shrinks by 32%, and the month after it grows by 31%. 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:
7065.27wrongmath.counterfactual.base-v1conf 100% · 323ms · $0.001 · 352 tok
question
Work strictly in base 7. Add the base-7 numbers 5164 and 5632. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
14062correctmath.arith.chain-v2conf 100% · 316ms · $0.001 · 209 tok
question
Work out the exact value of this expression. (((70 × 48 − 600) × 5 + 6349) − 60 × 13) × 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:
77476wrongmath.chained.pipeline-v1conf 100% · 323ms · $0.000 · 12 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 38 × 24. Step 2: Q = P × 3 − 700. 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:
205wrongmath.percent.chain-v2conf 100% · 583ms · $0.000 · 15 tok
question
An inventory starts at 18000 units. A rival firm shipped 78 unrelated parcels the same week. In the first month the inventory grows by 39%. A rival firm shipped 49 unrelated parcels the same week. The next month it shrinks by 41%, and the month after it grows by 38%. 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:
12351.39correctmath.algebra.system-v2conf 100% · 365ms · $0.001 · 296 tok
question
Solve the system, then answer the derived question. 2x + 4y = 0 3x − 8y = 196 What is the value of 4x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
140correctmath.arith.chain-v2conf 100% · 341ms · $0.001 · 283 tok
question
Calculate the following. Show your reasoning, then answer. (((34 × 88 − 244) × 6 + 3199) − 57 × 51) × 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:
100680wrongmath.percent.chain-v2conf 100% · 333ms · $0.001 · 280 tok
question
An inventory starts at 96000 units. A rival firm shipped 112 unrelated parcels the same week. In the first month the inventory grows by 8%. The delivery van has a 34-liter fuel tank. The next month it shrinks by 34%, and the month after it grows by 35%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
92381.08wrongmath.chained.pipeline-v1conf 100% · 349ms · $0.000 · 13 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 39 × 52. Step 2: Q = P × 5 − 363. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1093wrongmath.counterfactual.base-v1conf 100% · 325ms · $0.000 · 13 tok
question
Work strictly in base 9. Add the base-9 numbers 2437 and 3134. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
5571correctmath.algebra.system-v2conf 100% · 342ms · $0.001 · 227 tok
question
Solve the system, then answer the derived question. 9x + 2y = 230 9x − 6y = 102 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:
36wrongmath.arith.chain-v2conf 100% · 369ms · $0.000 · 13 tok
question
Evaluate the expression below and give the result. (((36 × 92 − 776) × 8 + 9059) − 57 × 52) × 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:
23720wrongmath.chained.pipeline-v1conf 100% · 356ms · $0.000 · 12 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 20 × 16. Step 2: Q = P × 3 − 444. 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:
39wrongmath.counterfactual.base-v1conf 100% · 327ms · $0.000 · 13 tok
question
Work strictly in base 8. Add the base-8 numbers 4661 and 4407. 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:
11070correctmath.algebra.system-v2conf 100% · 546ms · $0.001 · 336 tok
question
Solve the system, then answer the derived question. 2x + 4y = -164 6x − 5y = -67 What is the value of 5x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-110wrongmath.percent.chain-v2conf 100% · 412ms · $0.000 · 15 tok
question
An inventory starts at 99000 units. The delivery van has a 100-liter fuel tank. In the first month the inventory grows by 12%. The company was founded 93 kilometers from the port. The next month it shrinks by 37%, and the month after it grows by 20%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
74607.60correctmath.arith.chain-v2conf 100% · 390ms · $0.001 · 214 tok
question
Work out the exact value of this expression. (((46 × 50 − 467) × 3 + 4512) − 28 × 88) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
15094correctmath.counterfactual.base-v1conf 100% · 412ms · $0.001 · 234 tok
question
Work strictly in base 8. Multiply the base-8 numbers 53 and 50. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3270wrongmath.chained.pipeline-v1conf 100% · 347ms · $0.000 · 13 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 84 × 65. Step 2: Q = P × 4 − 746. 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:
1078correctmath.algebra.system-v2conf 100% · 357ms · $0.001 · 276 tok
question
Solve the system, then answer the derived question. 2x + 6y = 224 4x − 4y = 0 What is the value of 5x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
0wrongmath.percent.chain-v2conf 100% · 303ms · $0.000 · 15 tok
question
An inventory starts at 93000 units. The delivery van has a 38-liter fuel tank. In the first month the inventory grows by 45%. Each pallet weighs about 129 grams more when wet. The next month it shrinks by 10%, and the month after it grows by 30%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
93000.00wrongmath.counterfactual.base-v1anchorconf 100% · 368ms · $0.001 · 518 tok
model answer:
11236₇wrongmath.arith.chain-v2conf 100% · 343ms · $0.000 · 13 tok
question
Compute the value of the following expression. (((44 × 62 − 642) × 6 + 7451) − 46 × 71) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
16674wrongmath.chained.pipeline-v1conf 100% · 389ms · $0.000 · 12 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 47 × 43. Step 2: Q = P × 9 − 232. 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:
381wrongmath.percent.chain-v2anchorconf 100% · 363ms · $0.001 · 235 tok
model answer:
61833.74correctmath.algebra.system-v2anchorconf 100% · 400ms · $0.001 · 239 tok
model answer:
87wrongmath.arith.chain-v2anchorconf 100% · 375ms · $0.000 · 13 tok
model answer:
18285multilingual 16/30 correct
correctmultilingual.numword-v2conf 100% · 2.2s · $0.000 · 12 tok
question
Compute 394 + 406, 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:
huit centscorrectmultilingual.wordnum-v1conf 100% · 1.9s · $0.000 · 12 tok
question
A number is written in French: « soixante-neuf ». Another is written in Spanish: « setecientos treinta 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:
806correctmultilingual.numword-v2conf 100% · 550ms · $0.000 · 18 tok
question
Compute 472 + 225, 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 noventa y sietecorrectmultilingual.wordnum-v1conf 100% · 341ms · $0.000 · 12 tok
question
A number is written in French: « huit cent quarante-sept ». Another is written in Spanish: « trescientos 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:
511correctmultilingual.numword-v2conf 100% · 344ms · $0.000 · 16 tok
question
Compute 396 + 217, 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 trececorrectmultilingual.numword-v2conf 100% · 453ms · $0.000 · 15 tok
question
Compute 221 + 129, 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 cincuentacorrectmultilingual.wordnum-v1conf 100% · 292ms · $0.000 · 12 tok
question
A number is written in French: « deux cent vingt et un ». Another is written in Spanish: « doscientos noventa y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
516wrongmultilingual.wordnum-v1conf 100% · 443ms · $0.000 · 12 tok
question
A number is written in French: « huit cent vingt ». Another is written in Spanish: « setecientos setenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
348correctmultilingual.numword-v2conf 100% · 339ms · $0.000 · 17 tok
question
Compute 183 + 187, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent soixante-dixcorrectmultilingual.wordnum-v1conf 100% · 318ms · $0.000 · 12 tok
question
A number is written in French: « sept cent quatre-vingt-huit ». Another is written in Spanish: « setecientos cuarenta 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:
41correctmultilingual.numword-v2conf 100% · 268ms · $0.000 · 16 tok
question
Compute 367 + 351, 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 dieciochowrongmultilingual.wordnum-v1conf 100% · 342ms · $0.000 · 12 tok
question
A number is written in French: « deux cent quatre-vingt-onze ». Another is written in Spanish: « quinientos setenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
796wrongmultilingual.numword-v2conf 100% · 336ms · $0.000 · 24 tok
question
Compute 218 + 333, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent cinquante et unwrongmultilingual.wordnum-v1conf 100% · 384ms · $0.000 · 12 tok
question
A number is written in French: « cinq cent dix-neuf ». Another is written in Spanish: « setecientos once ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
308correctmultilingual.numword-v2conf 100% · 357ms · $0.000 · 17 tok
question
Compute 465 + 164, 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 veintinuevewrongmultilingual.wordnum-v1conf 100% · 358ms · $0.000 · 12 tok
question
A number is written in French: « cinq cent cinquante et un ». Another is written in Spanish: « novecientos noventa y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
651correctmultilingual.numword-v2conf 100% · 280ms · $0.000 · 16 tok
question
Compute 459 + 437, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos noventa y seiswrongmultilingual.wordnum-v1conf 100% · 367ms · $0.000 · 14 tok
question
A number is written in French: « cinq cent quatre-vingt-onze ». Another is written in Spanish: « cuatrocientos cincuenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
547correctmultilingual.numword-v2conf 100% · 369ms · $0.000 · 17 tok
question
Compute 493 + 289, 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 ochenta y doswrongmultilingual.wordnum-v1conf 100% · 350ms · $0.000 · 12 tok
question
A number is written in French: « huit cent dix-huit ». Another is written in Spanish: « setecientos cuarenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
176correctmultilingual.numword-v2conf 100% · 333ms · $0.000 · 17 tok
question
Compute 321 + 305, 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 veintiséiswrongmultilingual.wordnum-v1conf 100% · 362ms · $0.000 · 12 tok
question
A number is written in French: « deux cent quatre-vingt-onze ». Another is written in Spanish: « seiscientos dieciséis ». 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:
75wrongmultilingual.wordnum-v1conf 100% · 325ms · $0.000 · 12 tok
question
A number is written in French: « trois cent soixante-treize ». Another is written in Spanish: « quinientos cincuenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
832wrongmultilingual.numword-v2conf 100% · 347ms · $0.000 · 16 tok
question
Compute 58 + 140, 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 noventa y ochowrongmultilingual.numword-v2conf 100% · 428ms · $0.000 · 19 tok
question
Compute 326 + 102, 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:
cuatrocintocincuenta y ochowrongmultilingual.wordnum-v1conf 100% · 332ms · $0.000 · 12 tok
question
A number is written in French: « trois cent soixante-quatorze ». Another is written in Spanish: « seiscientos ochenta y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
861correctmultilingual.numword-v2anchorconf 100% · 371ms · $0.000 · 21 tok
model answer:
huit cent soixante-dix-neufwrongmultilingual.wordnum-v1anchorconf 100% · 337ms · $0.000 · 12 tok
model answer:
250wrongmultilingual.wordnum-v1anchorconf 100% · 342ms · $0.000 · 12 tok
model answer:
662correctmultilingual.numword-v2anchorconf 100% · 409ms · $0.000 · 16 tok
model answer:
seiscientos ochoreasoning 10/30 correct
wrongreasoning.deduction.position-v1conf 100% · 314ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 2 in the queue. Kira is directly ahead of Rosa. Ines is directly ahead of Chen. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.order-v2conf 100% · 387ms · $0.000 · 12 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Liam. Liam is older than Goran. Hana is older than Bruno. Bruno is older than Tessa. Goran is older than Bruno. Mona is older than Tessa. Kira is older than Hana. Goran is older than Hana. Mona is older than Kira. Nadir is faster than everyone here, but Nadir is not being ranked. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.position-v1conf 100% · 491ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Farah. Kira is directly ahead of Tessa. Farah is number 2 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadirwrongreasoning.deduction.order-v2conf 100% · 275ms · $0.000 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Jonas. Alice is faster than everyone here, but Alice is not being ranked. Dara is heavier than Ines. Ines is heavier than Jonas. Dara is heavier than Chen. Chen is heavier than Ines. Mona is heavier than Sami. Sami is heavier than Dara. Mona is heavier than Jonas. Bruno is heavier than Mona. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 100% · 294ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Tessa. Alice is directly ahead of Ola. Tessa is number 2 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosawrongreasoning.deduction.order-v2conf 100% · 403ms · $0.000 · 12 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Hana. Emil is faster than Ines. Hana is faster than Jonas. Rosa is older than everyone here, but Rosa is not being ranked. Tessa is faster than Priya. Priya is faster than Hana. Ines is faster than Hana. Emil is faster than Bruno. Priya is faster than Emil. Ines is faster than Bruno. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.position-v1conf 100% · 499ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Jonas. Farah is directly ahead of Chen. Priya is number 1 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonaswrongreasoning.deduction.order-v2conf 100% · 396ms · $0.000 · 11 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Jonas. Farah is faster than Nadir. Farah is faster than Bruno. Jonas is faster than Farah. Farah is faster than Nadir. Tessa is faster than Nadir. Kira is faster than Ola. Bruno is faster than Tessa. Jonas is faster than Bruno. Rosa is heavier than everyone here, but Rosa is not being ranked. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 342ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Bruno. Ines is directly ahead of Quinn. 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:
Brunowrongreasoning.deduction.order-v2conf 100% · 337ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is older than Ola. Ola is older than Hana. Jonas is older than Farah. Mona is older than Farah. Hana is older than Priya. Tessa is older than Jonas. Jonas is older than Mona. Emil is taller than everyone here, but Emil is not being ranked. Tessa is older than Ola. Priya is older than Mona. 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 334ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Chen. Quinn is number 4 in the queue. Chen is directly ahead of Ines. Ines is directly ahead of Quinn. 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:
Quinnwrongreasoning.deduction.order-v2conf 100% · 368ms · $0.000 · 11 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Farah. Kira is faster than Emil. Priya is faster than Emil. Ines is faster than Sami. Hana is heavier than everyone here, but Hana is not being ranked. Sami is faster than Jonas. Jonas is faster than Priya. Farah is faster than Priya. Jonas is faster than Kira. Sami is faster than Emil. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonaswrongreasoning.deduction.position-v1conf 100% · 365ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Quinn. Nadir is number 4 in the queue. Quinn is directly ahead of Alice. Alice is directly ahead of Nadir. 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:
Ineswrongreasoning.deduction.order-v2conf 100% · 398ms · $0.000 · 11 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Sami. Goran is older than everyone here, but Goran is not being ranked. Hana is heavier than Dara. Sami is heavier than Dara. Bruno is heavier than Liam. Tessa is heavier than Sami. Tessa is heavier than Bruno. Farah is heavier than Dara. Farah is heavier than Hana. Sami is heavier than Farah. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessawrongreasoning.deduction.position-v1conf 100% · 494ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Dara. Alice is number 4 in the queue. Goran is directly ahead of Priya. Dara is directly ahead of Alice. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 564ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 1 in the queue. Emil is directly ahead of Nadir. Nadir is directly ahead of Farah. 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:
Farahwrongreasoning.deduction.order-v2conf 100% · 346ms · $0.000 · 12 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Ines. Liam is older than Ola. Quinn is older than Ola. Quinn is older than Emil. Hana is older than Quinn. Dara is older than Liam. Ines is older than Liam. Emil is older than Ines. Ines is older than Dara. Farah is heavier than everyone here, but Farah is not being ranked. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ineswrongreasoning.deduction.order-v2conf 100% · 334ms · $0.000 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Mona. Dara is taller than Hana. Dara is taller than Mona. Mona is taller than Kira. Emil is taller than Ines. Farah is older than everyone here, but Farah is not being ranked. Ines is taller than Jonas. Jonas is taller than Mona. Jonas is taller than Hana. Dara is taller than Emil. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Darawrongreasoning.deduction.position-v1conf 100% · 307ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Rosa. Emil is number 3 in the queue. Rosa is directly ahead of Emil. 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:
Kirawrongreasoning.deduction.order-v2conf 100% · 363ms · $0.000 · 11 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Bruno is taller than Jonas. Farah is taller than Chen. Chen is taller than Hana. Goran is older than everyone here, but Goran is not being ranked. Jonas is taller than Dara. Sami is taller than Farah. Sami is taller than Dara. Hana is taller than Dara. Hana is taller than Bruno. Hana is taller than Dara. 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:
Darawrongreasoning.deduction.position-v1conf 100% · 365ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Ola. Ola is number 3 in the queue. Quinn is directly ahead of Alice. 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:
Quinnwrongreasoning.deduction.order-v2conf 100% · 367ms · $0.000 · 17 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Quinn. Quinn is faster than Chen. Hana is faster than Nadir. Chen is faster than Nadir. Priya is faster than Chen. Quinn is faster than Nadir. Jonas is heavier than everyone here, but Jonas is not being ranked. Sami is faster than Priya. Goran is faster than Sami. Priya is faster than Hana. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.position-v1conf 100% · 379ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Dara. Dara is number 2 in the queue. Jonas is directly ahead of Sami. 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:
Farahwrongreasoning.deduction.order-v2conf 100% · 374ms · $0.000 · 11 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Mona. Bruno is older than everyone here, but Bruno is not being ranked. Nadir is taller than Farah. Rosa is taller than Farah. Farah is taller than Hana. Emil is taller than Mona. Jonas is taller than Emil. Nadir is taller than Rosa. Mona is taller than Farah. Emil is taller than Nadir. 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:
Hanawrongreasoning.deduction.order-v2conf 100% · 609ms · $0.000 · 13 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Jonas is faster than Nadir. Liam is faster than Jonas. Alice is faster than Nadir. Emil is taller than everyone here, but Emil is not being ranked. Liam is faster than Goran. Alice is faster than Liam. Goran is faster than Priya. Bruno is faster than Alice. Goran is faster than Jonas. Priya is faster than Jonas. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1conf 100% · 343ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Goran. Quinn is number 2 in the queue. Mona is directly ahead of Quinn. 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:
Goranwrongreasoning.deduction.position-v1anchorconf 100% · 362ms · $0.000 · 14 tok
model answer:
Goranwrongreasoning.deduction.order-v2anchorconf 100% · 337ms · $0.000 · 11 tok
model answer:
Rosawrongreasoning.deduction.order-v2anchorconf 100% · 340ms · $0.000 · 12 tok
model answer:
Priyacorrectreasoning.deduction.position-v1anchorconf 100% · 323ms · $0.000 · 11 tok
model answer:
Farahterminal 6/30 correct
wrongterminal.exit.chain-v1conf 100% · 583ms · $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: coral, dune (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
F
exit:0wrongterminal.fs.tree-v1conf 100% · 323ms · $0.000 · 66 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/logs`): ``` /proj/notes.cfg /proj/report.txt /proj/src/draft.log /proj/src/setup.txt /proj/src/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch src/setup-2.cfg rm src/todo.md mkdir -p src/docs-5 cd logs mv ../../proj/src/setup.txt ../../proj/src/ mv ../../proj/src/setup-2.cfg ../../proj/src/main-8.txt cd ../../proj/src touch ../../proj/logs/report-9.md cd ../../proj/logs mkdir -p docs-6 cd ../../proj/conf ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/notes.cfg
/proj/report.txt
/proj/src/draft.log
/proj/src/docs-5
/proj/src/main-8.txt
/proj/src/setup-2.cfg
/proj/logs/report-9.md
/proj/logs/docs-6wrongterminal.pipeline.predict-v1conf 100% · 374ms · $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):
```
max,eng,100,86
oli,hr,82,12
ana,eng,77,15
jon,legal,55,96
hal,hr,56,11
cy,ops,116,39
pam,hr,17,36
ned,ops,8,99
fay,legal,44,89
bo,ops,51,76
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 47 { 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:
1wrongterminal.exit.chain-v1conf 100% · 399ms · $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, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f data.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
G
exit:0wrongterminal.fs.tree-v1conf 100% · 404ms · $0.000 · 58 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/docs`, `/proj/build`): ``` /proj/assets/main.txt /proj/docs/index.cfg /proj/docs/setup.log /proj/report.log /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm docs/index.cfg touch setup-1.cfg touch assets/todo-8.md touch build/util-1.cfg cd . mkdir -p build/docs-3 mv docs/setup.log docs/notes-8.cfg cd docs rm ../../proj/setup-1.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/main.txt
/proj/assets/todo-8.md
/proj/build/docs-3
/proj/build/util-1.cfg
/proj/docs/notes-8.cfg
/proj/report.log
/proj/util.mdwrongterminal.pipeline.predict-v1conf 100% · 375ms · $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,hr,22,26
hal,hr,101,38
gus,legal,13,80
ivy,eng,17,73
kim,hr,113,56
ana,hr,102,42
bo,sales,109,28
pam,sales,97,94
cy,eng,3,94
fay,eng,56,61
max,hr,31,35
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 72 { 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:
3correctterminal.exit.chain-v1conf 100% · 334ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 399ms · $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/conf`, `/proj/docs`, `/proj/assets`): ``` /proj/assets/draft.log /proj/assets/main.md /proj/conf/notes.log /proj/index.txt /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 rm index.txt mv report.log assets/ cp assets/main.md conf/ cp conf/notes.log docs/ mv conf/main.md docs/ cd docs rm ../../proj/assets/draft.log cd ../../proj ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft.log
/proj/assets/main.md
/proj/assets/report.log
/proj/conf/main.md
/proj/conf/notes.logwrongterminal.pipeline.predict-v1conf 100% · 319ms · $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):
```
cy,eng,85,24
pam,eng,91,56
jon,hr,83,44
hal,sales,24,48
fay,eng,3,54
bo,sales,99,90
lou,legal,93,66
max,legal,108,32
gus,eng,12,71
ana,hr,71,38
dev,hr,99,74
ned,legal,32,76
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 62 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
3wrongterminal.fs.tree-v1conf 100% · 371ms · $0.000 · 64 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/build`): ``` /proj/assets/util.txt /proj/build/notes.txt /proj/conf/main.cfg /proj/draft.log /proj/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 build/main-8.md mkdir -p conf/assets-2 mkdir -p assets/conf-7 cd conf/assets-2 cp ../../../proj/setup.md ./ cp ../../../proj/setup.md ../../../proj/conf/ mv ../../../proj/build/main-8.md ../../../proj/build/notes-4.cfg mkdir -p src-7 mkdir -p conf-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/conf-7
/proj/assets/util.txt
/proj/build/notes-4.cfg
/proj/build/notes.txt
/proj/conf/assets-2/setup.md
/proj/conf/main.cfg
/proj/draft.log
/proj/setup.mdwrongterminal.exit.chain-v1conf 100% · 297ms · $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 test -f ghost.txt && echo A || echo B test -f app.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:
B
C
F
exit:0correctterminal.pipeline.predict-v1conf 100% · 359ms · $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):
```
hal,ops,44,20
jon,sales,99,79
ana,hr,94,17
kim,sales,112,94
eli,hr,108,84
cy,sales,44,80
pam,legal,101,32
dev,eng,19,20
ivy,ops,18,44
ned,ops,23,82
lou,ops,101,14
max,sales,58,14
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 80 { 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:
0wrongterminal.exit.chain-v1conf 100% · 320ms · $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, dune (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f data.txt && echo C || echo D test -f data.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 359ms · $0.000 · 63 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/conf`): ``` /proj/assets/index.txt /proj/conf/notes.log /proj/docs/util.cfg /proj/main.cfg /proj/report.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p docs-9 cd . mv conf/notes.log conf/index-6.md rm main.cfg cd docs-9 mkdir -p ../../proj/assets/logs-4 cd ../../proj/assets touch ../../proj/conf/todo-6.md cd ../../proj/docs-9 mv ../../proj/assets/index.txt ../../proj/assets/logs-4/ mkdir -p ../../proj/conf/assets-5 ``` 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/index.txt
/proj/assets/logs-4/index.txt
/proj/conf/assets-5
/proj/conf/index-6.md
/proj/conf/todo-6.md
/proj/docs/util.cfg
/proj/docs-9/report.txtcorrectterminal.pipeline.predict-v1conf 100% · 386ms · $0.000 · 27 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,sales,41,89 ned,legal,96,27 bo,ops,67,19 oli,legal,10,66 eli,sales,28,27 ivy,hr,10,16 hal,sales,87,36 ana,ops,7,88 pam,hr,36,98 gus,legal,53,40 kim,legal,31,22 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,ops,7,88
bo,ops,67,19correctterminal.exit.chain-v1conf 100% · 357ms · $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: coral, basil (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
Z
exit:0wrongterminal.fs.tree-v1anchorconf 100% · 2.3s · $0.000 · 77 tok
model answer:
/proj/build/logs-1
/proj/build/logs-8
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/build-4
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgwrongterminal.fs.tree-v1conf 100% · 349ms · $0.000 · 59 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/logs`): ``` /proj/docs/index.txt /proj/logs/todo.cfg /proj/logs/util.cfg /proj/main.cfg /proj/report.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv docs/index.txt docs/index-8.md rm report.txt mkdir -p logs/src-1 cp main.cfg assets/ cd . touch assets/report-2.txt rm logs/todo.cfg mkdir -p logs-8 cd logs touch ../../proj/assets/main-2.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/main-2.log
/proj/assets/main.cfg
/proj/assets/report-2.txt
/proj/docs/index-8.md
/proj/logs/src-1
/proj/logs/util.cfg
/proj/main.cfgwrongterminal.pipeline.predict-v1conf 100% · 349ms · $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):
```
max,hr,60,91
jon,eng,53,64
kim,ops,66,55
ivy,legal,28,68
fay,legal,78,98
gus,legal,70,32
pam,ops,53,79
lou,hr,25,68
dev,ops,60,54
cy,hr,93,47
eli,sales,119,59
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 60 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
2wrongterminal.exit.chain-v1conf 100% · 462ms · $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, dune (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
exit:0wrongterminal.fs.tree-v1conf 100% · 310ms · $0.000 · 63 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/conf`): ``` /proj/index.log /proj/notes.cfg /proj/src/draft.cfg /proj/src/main.cfg /proj/src/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 mkdir -p conf/conf-5 touch index-3.cfg cd conf rm ../../proj/src/main.cfg mkdir -p ../../proj/conf-7 touch ../../proj/build/setup-3.cfg touch report-1.md cd conf-5 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/conf-5/report-1.md
/proj/conf/conf-5/setup-3.cfg
/proj/index-3.cfg
/proj/index.log
/proj/notes.cfg
/proj/src/draft.cfg
/proj/src/todo.logcorrectterminal.pipeline.predict-v1conf 100% · 341ms · $0.000 · 21 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` oli,legal,28,21 lou,hr,97,96 jon,sales,108,84 cy,legal,25,71 ned,sales,113,51 fay,sales,89,33 bo,eng,96,42 ivy,eng,99,38 gus,eng,97,87 ana,sales,33,75 kim,legal,15,78 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lou,hr,97,96wrongterminal.exit.chain-v1conf 100% · 395ms · $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, basil (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B true && echo C || echo D grep -q coral notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:0wrongterminal.fs.tree-v1conf 100% · 348ms · $0.000 · 65 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/build`): ``` /proj/assets/draft.cfg /proj/assets/report.cfg /proj/index.log /proj/logs/notes.cfg /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 mkdir -p docs-9 cd . rm index.log touch util-8.txt cd assets mv ../../proj/setup.log ../../proj/ cp ../../proj/util-8.txt ../../proj/logs/ mkdir -p ../../proj/docs-5 cd ../../proj/docs-5 cp ../../proj/assets/draft.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/assets/draft.cfg
/proj/assets/report.cfg
/proj/docs-5/draft.cfg
/proj/docs-9
/proj/logs/notes.cfg
/proj/logs/util-8.txt
/proj/setup.log
/proj/util-8.txtcorrectterminal.pipeline.predict-v1conf 100% · 354ms · $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):
```
oli,legal,31,80
ned,sales,90,97
kim,legal,35,79
jon,sales,88,19
gus,sales,50,60
pam,sales,31,48
cy,eng,29,55
ivy,ops,29,19
dev,sales,61,17
hal,sales,47,72
lou,legal,53,56
max,legal,89,13
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
29wrongterminal.exit.chain-v1conf 100% · 544ms · $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, 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 coral notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
F
exit:0wrongterminal.fs.tree-v1conf 100% · 808ms · $0.000 · 47 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/docs`): ``` /proj/build/util.md /proj/docs/report.md /proj/main.log /proj/src/draft.md /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch main-9.log cd src mv ../../proj/build/util.md ../../proj/build/main-4.txt cp ../../proj/docs/report.md ../../proj/ rm ../../proj/build/main-4.txt rm ../../proj/report.md touch ../../proj/notes-7.log cd ../../proj/docs cp report.md ../../proj/ cd ../../proj/build ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/main-9.log
/proj/main.log
/proj/notes-7.log
/proj/report.md
/proj/src/draft.md
/proj/todo.cfgwrongterminal.pipeline.predict-v1anchorconf 100% · 339ms · $0.000 · 35 tok
model answer:
cy,eng,115,45
dev,eng,81,95
max,eng,43,64wrongterminal.exit.chain-v1anchorconf 100% · 376ms · $0.000 · 23 tok
model answer:
B
D
E
G
exit:0wrongterminal.pipeline.predict-v1anchorconf 100% · 395ms · $0.000 · 15 tok
model answer:
3vision ocr 25/30 correct
correctvision.ocr.table-read-v1conf 100% · 1.8s · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
69correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
WAHCEFXcorrectvision.ocr.table-read-v1conf 100% · 865ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
66correctvision.ocr.code-hunt-v1conf 100% · 729ms · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CFNH7NPAcorrectvision.ocr.table-read-v1conf 100% · 794ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
49correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
YEUJFJcorrectvision.ocr.table-read-v1conf 100% · 698ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
54correctvision.ocr.code-hunt-v1conf 100% · 973ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
JFNXAV4wrongvision.ocr.code-hunt-v1conf 100% · 2.3s · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MAFEP9GJcorrectvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
92correctvision.ocr.table-read-v1conf 100% · 831ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
19wrongvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4MWX F7AEcorrectvision.ocr.table-read-v1conf 100% · 862ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
62wrongvision.ocr.code-hunt-v1conf 100% · 917ms · $0.000 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
WGN3CTcorrectvision.ocr.table-read-v1conf 100% · 793ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
21correctvision.ocr.code-hunt-v1conf 100% · 1.0s · $0.000 · 16 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AX9DFA3Pcorrectvision.ocr.table-read-v1conf 100% · 906ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
58wrongvision.ocr.code-hunt-v1conf 100% · 912ms · $0.000 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FJFP RUS9correctvision.ocr.table-read-v1conf 100% · 912ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
87wrongvision.ocr.code-hunt-v1conf 100% · 763ms · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
RC V7VMFFcorrectvision.ocr.table-read-v1conf 100% · 920ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 18 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
X3A7KRJcorrectvision.ocr.table-read-v1conf 100% · 1.0s · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
24correctvision.ocr.code-hunt-v1conf 100% · 831ms · $0.000 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3Y3JPF9correctvision.ocr.table-read-v1conf 100% · 957ms · $0.000 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
87correctvision.ocr.code-hunt-v1conf 100% · 903ms · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
N9PN7MHcorrectvision.ocr.table-read-v1anchorconf 100% · 953ms · $0.000 · 12 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 948ms · $0.000 · 14 tok
model answer:
VX7993Dcorrectvision.ocr.code-hunt-v1anchorconf 100% · 1.6s · $0.000 · 18 tok
model answer:
YH9E4AWPcorrectvision.ocr.table-read-v1anchorconf 100% · 1.4s · $0.000 · 12 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit429
- 2026-08-05v0.2.0index_fit430
- 2026-08-05v0.2.0index_fit432
- 2026-08-05v0.2.0index_fit432
- 2026-08-05v0.2.0index_fit432
- 2026-08-05v0.2.0index_fit432
- 2026-08-05v0.2.0index_fit431
- 2026-08-05v0.2.0index_fit431
- 2026-08-05v0.2.0index_fit430
- 2026-08-05v0.2.0index_fit430
- 2026-08-05v0.2.0index_fit420
- 2026-08-05v0.2.0index_fit420
- 2026-08-05v0.2.0index_fit420
- 2026-08-05v0.2.0index_fit419
- 2026-08-05v0.2.0index_fit419
- 2026-08-05v0.2.0index_fit420
- 2026-08-05v0.2.0index_fit420
- 2026-08-05v0.2.0index_fit417
- 2026-08-05v0.2.0index_fit418
- 2026-08-05v0.2.0index_fit419