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Google: Gemini 3.1 Pro Preview
google/gemini-3.1-pro-preview · google · context 1 048 576 · in $2.00/1M · out $12.00/1M
Global Index
824
95% CI [779–870] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 907 [824–990] | 0.858 | 0.95 | 1.00 | 0.000 | 2.5s | $36.95 | |
| code | 880 [763–996] | 0.800 | 1.00 | 1.00 | 0.000 | 2.5s | $28.75 | |
| instruction following | 851 [729–972] | 0.793 | 0.83 | 1.00 | 0.000 | 2.4s | $16.82 | |
| knowledge | 728 [555–900] | 0.546 | 1.00 | 1.00 | 0.000 | 2.4s | $2.65 | |
| math | 845 [695–996] | 0.743 | 1.00 | 1.00 | 0.000 | 2.6s | $16.86 | |
| multilingual | 824 [662–986] | 0.706 | 1.00 | 1.00 | 0.000 | 2.5s | $6.46 | |
| reasoning | 735 [591–879] | 0.666 | 1.00 | 0.94 | 0.077 | 2.6s | $12.77 | |
| terminal | 915 [833–998] | 0.859 | 1.00 | 1.00 | 0.000 | 2.5s | $19.20 | |
| vision ocr | 735 [564–906] | 0.559 | 1.00 | 1.00 | 0.000 | 3.4s | $7.68 |
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 30/30 correct
correctagentic.tools.context-load-v1conf 100% · 2.5s · $0.100 · 7461 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 (287 records, format: id|customer|region|item|qty|status):
```
1929|harbor|east|panel|71|shipped
1312|cobalt|west|frame|70|paid
1731|acme|north|rotor|85|held
2285|acme|west|cable|46|paid
1567|cobalt|west|frame|76|paid
1469|juno|north|panel|49|pending
2021|ionic|east|frame|71|shipped
1599|juno|south|rotor|44|paid
2045|gale|west|sensor|18|shipped
2036|birch|east|pump|20|shipped
1435|birch|east|gasket|52|held
2065|fulton|east|gasket|16|pending
2197|harbor|east|sensor|25|held
1891|harbor|east|valve|39|pending
1359|gale|east|cable|96|pending
1200|cobalt|east|panel|62|shipped
2087|birch|east|frame|11|pending
2286|dorian|west|panel|73|shipped
1138|birch|east|pump|92|pending
1627|cobalt|south|valve|14|paid
1496|birch|south|sensor|15|shipped
2002|dorian|north|sensor|10|paid
2213|juno|east|frame|68|shipped
1794|dorian|east|sensor|75|held
2249|ionic|west|rotor|77|shipped
2009|birch|east|gasket|69|shipped
1506|juno|west|cable|66|held
2171|ionic|north|pump|37|pending
1380|acme|west|pump|58|held
1663|acme|north|valve|60|paid
1145|birch|east|frame|71|pending
1607|ionic|west|pump|17|paid
1268|dorian|north|valve|82|pending
1431|birch|north|cable|67|pending
1879|juno|east|frame|97|shipped
1831|acme|south|valve|64|shipped
1904|harbor|north|panel|25|paid
2139|harbor|west|pump|60|paid
1533|ember|west|pump|99|held
2209|acme|east|sensor|11|pending
1305|cobalt|west|rotor|66|pending
1263|ionic|south|gasket|98|pending
2103|birch|west|rotor|18|shipped
2246|juno|west|gasket|84|shipped
1789|ionic|east|rotor|11|held
2212|birch|east|pump|33|held
1808|harbor|north|rotor|22|paid
1758|cobalt|south|rotor|95|pending
2076|cobalt|south|pump|70|shipped
1739|birch|west|cable|49|shipped
1579|cobalt|south|frame|85|pending
2123|ionic|south|pump|27|pending
2273|harbor|west|gasket|30|pending
2126|cobalt|south|sensor|83|shipped
2144|birch|north|sensor|76|pending
1479|harbor|north|valve|81|paid
1725|ember|north|rotor|20|held
1182|birch|east|rotor|99|held
1723|harbor|east|sensor|43|paid
2071|cobalt|north|rotor|14|shipped
1912|fulton|east|gasket|16|paid
1753|fulton|east|sensor|41|shipped
1197|birch|east|pump|23|paid
1768|gale|south|rotor|31|held
1812|fulton|south|frame|86|paid
1941|gale|west|sensor|27|paid
1189|birch|east|panel|80|pending
1514|ember|north|panel|82|paid
2086|harbor|east|valve|54|pending
1850|harbor|east|sensor|15|paid
2186|juno|north|gasket|70|shipped
1206|ionic|north|pump|61|paid
1712|acme|south|sensor|72|pending
1719|ember|north|panel|98|held
1456|fulton|north|pump|72|paid
2030|fulton|west|pump|98|shipped
1670|ember|north|valve|68|pending
1417|ionic|west|panel|22|shipped
1319|juno|west|panel|72|held
1279|fulton|east|pump|69|held
1415|gale|south|frame|12|pending
1478|ember|east|pump|81|pending
2266|juno|south|valve|32|shipped
1338|harbor|south|gasket|34|shipped
2023|ember|south|panel|84|held
1169|birch|east|cable|27|pending
2223|cobalt|west|panel|53|paid
1156|birch|south|panel|54|pending
1444|ionic|north|cable|57|shipped
1471|acme|east|sensor|24|shipped
1530|juno|east|gasket|55|held
1241|cobalt|south|frame|46|held
2135|gale|north|gasket|40|paid
1261|acme|south|sensor|31|pending
1175|birch|south|frame|69|pending
1687|ionic|east|sensor|41|pending
1977|ember|south|gasket|96|held
1641|juno|north|panel|97|paid
1949|harbor|south|gasket|56|shipped
2279|birch|west|gasket|85|held
1969|fulton|south|frame|87|pending
2204|fulton|north|cable|83|pending
1340|acme|north|cable|34|held
1976|harbor|east|gasket|79|shipped
1657|birch|north|frame|86|pending
1254|gale|north|pump|70|paid
1617|fulton|west|pump|56|held
1326|gale|south|frame|40|pending
1378|acme|north|gasket|85|shipped
1747|fulton|north|pump|89|held
2256|juno|north|valve|58|paid
2191|harbor|north|sensor|34|pending
1898|gale|east|gasket|73|pending
2243|birch|north|valve|67|shipped
1227|fulton|south|panel|49|shipped
1283|juno|south|pump|96|paid
2259|juno|east|valve|11|pending
1900|acme|south|cable|97|paid
1425|dorian|south|valve|85|pending
1475|cobalt|east|cable|74|held
2078|gale|west|gasket|90|paid
1355|ember|north|pump|51|pending
1213|cobalt|north|frame|89|pending
1801|acme|north|cable|40|pending
1660|dorian|south|sensor|79|shipped
1194|birch|south|sensor|29|pending
1220|ember|west|cable|87|held
1463|juno|north|valve|23|pending
2150|fulton|east|sensor|78|held
1948|birch|west|pump|38|shipped
1843|juno|south|pump|69|pending
1542|harbor|north|sensor|84|pending
1953|ionic|north|panel|81|shipped
1824|ionic|east|pump|60|paid
1624|fulton|east|gasket|38|shipped
1401|juno|west|cable|20|held
1323|cobalt|west|rotor|62|paid
1614|ionic|east|valve|98|paid
1593|gale|west|gasket|88|shipped
2173|juno|north|panel|63|pending
2089|fulton|north|valve|91|paid
1390|birch|south|sensor|53|pending
1733|gale|east|rotor|75|shipped
1560|birch|east|valve|75|shipped
1586|cobalt|east|frame|12|paid
2056|fulton|south|panel|97|shipped
1885|ember|east|pump|41|held
2160|harbor|west|gasket|98|shipped
1139|birch|north|pump|97|pending
2153|fulton|north|rotor|51|held
1659|fulton|west|cable|41|paid
1372|juno|west|valve|32|paid
1204|gale|south|sensor|95|paid
1487|ionic|west|gasket|73|pending
1782|ember|north|panel|66|pending
1678|juno|south|panel|13|pending
2267|dorian|west|pump|31|paid
2234|fulton|south|valve|17|shipped
2211|acme|east|frame|81|paid
1691|gale|west|rotor|71|shipped
1395|acme|west|sensor|35|paid
1952|cobalt|south|sensor|97|held
1289|juno|east|gasket|68|held
1819|birch|east|rotor|97|pending
1682|birch|south|gasket|18|shipped
1332|acme|south|cable|40|pending
2278|cobalt|south|valve|69|paid
1266|gale|east|cable|35|shipped
1706|acme|north|cable|11|shipped
1745|birch|north|gasket|98|shipped
1408|birch|south|pump|24|held
1298|gale|east|sensor|34|shipped
1924|birch|south|rotor|89|held
2051|gale|south|gasket|51|paid
1273|gale|east|cable|73|paid
1743|acme|south|valve|99|paid
1143|birch|east|valve|36|shipped
2061|juno|south|cable|91|shipped
1517|ionic|north|valve|35|shipped
2220|harbor|east|valve|65|paid
1621|harbor|south|panel|44|paid
1861|cobalt|west|sensor|10|paid
2113|harbor|west|pump|32|held
2129|gale|west|frame|35|paid
1375|acme|west|valve|23|held
2041|cobalt|south|panel|86|shipped
1555|birch|east|gasket|41|paid
1548|harbor|west|pump|90|paid
1867|ionic|east|gasket|10|held
1907|fulton|east|valve|95|shipped
2174|harbor|west|rotor|87|pending
1146|birch|south|pump|23|pending
1917|ember|east|sensor|52|shipped
1236|harbor|west|pump|99|paid
1803|ionic|north|valve|54|pending
1366|dorian|south|frame|91|paid
2074|ember|west|rotor|90|shipped
1936|dorian|south|sensor|92|held
1373|cobalt|south|sensor|36|pending
1695|gale|west|rotor|34|shipped
1975|acme|east|frame|40|held
2261|ember|south|pump|15|held
1992|dorian|west|rotor|89|paid
1553|gale|north|gasket|96|held
1492|fulton|north|sensor|44|pending
1574|birch|south|frame|41|held
2128|fulton|north|pump|22|paid
1980|acme|east|valve|70|pending
1634|fulton|east|gasket|81|shipped
1642|ember|east|cable|73|paid
1467|fulton|east|panel|44|held
1526|gale|south|frame|56|pending
1701|gale|north|gasket|13|pending
2239|ember|south|panel|39|paid
2014|cobalt|east|cable|43|pending
1343|birch|south|valve|69|paid
1436|ember|north|gasket|19|held
1501|ionic|east|sensor|80|paid
1543|juno|south|frame|92|held
2227|gale|north|valve|16|paid
1296|ember|north|valve|83|held
2181|fulton|south|valve|90|held
1958|birch|east|rotor|56|held
1360|acme|east|valve|46|pending
2170|gale|north|gasket|48|held
1249|gale|west|rotor|36|shipped
1256|acme|south|sensor|93|shipped
1377|birch|east|gasket|48|pending
1810|dorian|south|frame|61|paid
1424|harbor|south|valve|44|shipped
1454|acme|south|valve|18|pending
1705|fulton|west|pump|63|held
1999|birch|south|gasket|22|pending
2218|cobalt|north|sensor|27|pending
1347|harbor|east|rotor|43|shipped
2193|juno|north|frame|98|shipped
2165|birch|west|pump|47|shipped
1148|birch|east|panel|43|paid
1874|harbor|west|frame|58|pending
1441|acme|west|sensor|50|held
1600|dorian|south|sensor|19|shipped
1836|dorian|east|sensor|99|held
1525|fulton|north|gasket|58|pending
1646|fulton|east|valve|50|pending
1652|ionic|west|gasket|96|paid
2233|ember|south|valve|56|pending
1519|acme|south|valve|38|pending
1151|birch|east|sensor|76|pending
2119|cobalt|west|rotor|40|paid
1245|harbor|south|frame|13|shipped
1925|gale|south|rotor|63|pending
1675|fulton|south|sensor|46|paid
1536|birch|east|pump|18|shipped
1856|harbor|south|valve|48|pending
1987|harbor|west|sensor|78|paid
2095|acme|west|gasket|35|shipped
1962|cobalt|west|frame|68|shipped
1229|harbor|west|frame|95|shipped
2082|ionic|east|gasket|63|held
2138|ionic|east|sensor|75|shipped
1427|birch|east|rotor|89|shipped
1710|fulton|west|gasket|13|held
1583|gale|north|gasket|80|shipped
1902|gale|west|panel|68|pending
1233|fulton|south|frame|29|held
2254|ember|west|frame|80|pending
1386|acme|west|panel|92|pending
1507|gale|east|pump|54|shipped
2110|fulton|north|valve|22|pending
1162|birch|east|cable|71|paid
2253|gale|east|valve|43|paid
2017|dorian|east|gasket|37|pending
1468|ember|north|sensor|82|pending
1651|cobalt|west|frame|34|pending
1348|dorian|north|valve|44|held
1447|ember|south|pump|94|pending
1369|juno|west|frame|89|shipped
1899|juno|north|panel|10|pending
1763|cobalt|north|rotor|19|shipped
1775|cobalt|north|panel|84|shipped
2101|fulton|south|gasket|19|held
2062|dorian|north|panel|85|paid
2008|harbor|west|rotor|21|paid
2134|gale|west|cable|88|shipped
1814|juno|west|gasket|84|paid
2230|juno|west|frame|53|held
1484|birch|north|sensor|75|shipped
```
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 > 45, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "pump", "qty": 92}},
{"tool": "restock", "args": {"item": "frame", "qty": 71}},
{"tool": "restock", "args": {"item": "sensor", "qty": 76}},
{"tool": "cancel_order", "args": {"order_id": 1169}},
{"tool": "restock", "args": {"item": "panel", "qty": 80}},
{"tool": "restock", "args": {"item": "gasket", "qty": 48}},
{"tool": "restock", "args": {"item": "rotor", "qty": 97}},
{"tool": "cancel_order", "args": {"order_id": 2087}}
]correctagentic.tools.ledger-v1conf 100% · 2.5s · $0.026 · 2067 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $351
- tango: $140
- delta: $876
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $262 from "tango" to "delta"
2. pay $159 from "echo" to "delta"
3. pay $325 from "tango" to "delta"
4. pay $491 from "delta" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 122
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "delta",
"amount": 262
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "delta",
"amount": 159
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 325
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "delta",
"amount": 325
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "echo",
"amount": 491
}
}
]correctagentic.tools.triage-v1conf 100% · 2.7s · $0.026 · 2114 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 → silva
- auth → haddad
- data → okafor
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 4)
2. "SSO loop on login" (category: auth, priority 5)
3. "dashboard shows stale numbers" (category: data, priority 4)
4. "card declined at checkout" (category: payments, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.deploy-v1conf 100% · 2.5s · $0.017 · 1358 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: billing
- search: billing
- billing: (none)
- notifier: auth-svc, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "billing"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "health_check",
"args": {
"service": "notifier"
}
}
]correctagentic.tools.ledger-v1conf 100% · 2.7s · $0.026 · 2065 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: $236
- delta: $660
- lima: $191
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $327 from "lima" to "delta"
2. pay $117 from "bravo" to "delta"
3. pay $85 from "lima" to "bravo"
4. pay $340 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "top_up_from_reserve",
"args": {
"account": "lima",
"amount": 136
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "delta",
"amount": 327
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "delta",
"amount": 117
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "lima",
"amount": 85
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "bravo",
"amount": 85
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 340
}
}
]correctagentic.tools.context-load-v1conf 100% · 2.2s · $0.071 · 5326 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 (186 records, format: id|customer|region|item|qty|status):
```
1832|dorian|south|sensor|84|pending
1768|gale|west|valve|95|pending
1779|fulton|north|sensor|37|shipped
1792|gale|north|sensor|12|pending
1169|ionic|west|pump|16|pending
1309|acme|north|pump|95|shipped
1540|ember|east|valve|25|shipped
1285|fulton|south|pump|65|shipped
1662|birch|south|frame|39|shipped
1304|ionic|west|cable|72|paid
1224|ionic|west|rotor|15|pending
1211|ember|south|frame|21|pending
1319|acme|south|pump|10|paid
1856|gale|north|pump|37|pending
1361|harbor|west|gasket|56|shipped
1200|gale|east|frame|63|paid
1406|birch|east|frame|73|pending
1171|gale|west|gasket|57|held
1180|ionic|west|cable|25|pending
1863|juno|south|pump|89|held
1758|gale|north|rotor|94|held
1146|ionic|north|pump|67|shipped
1461|fulton|south|cable|42|paid
1733|ember|east|rotor|41|shipped
1431|acme|north|gasket|39|shipped
1466|birch|west|pump|32|paid
1315|fulton|east|pump|82|pending
1140|ionic|north|cable|48|pending
1246|juno|west|gasket|89|paid
1158|ionic|west|panel|60|pending
1551|ember|east|cable|87|shipped
1153|ionic|north|rotor|70|pending
1187|ember|south|gasket|30|pending
1640|acme|south|valve|94|pending
1499|harbor|south|frame|48|shipped
1239|ember|south|gasket|76|held
1749|fulton|east|cable|11|held
1727|birch|north|sensor|65|paid
1170|ionic|north|cable|65|paid
1527|acme|west|pump|90|held
1728|harbor|west|panel|17|held
1669|juno|east|cable|36|pending
1440|fulton|north|cable|20|paid
1544|acme|south|panel|66|pending
1382|harbor|west|valve|27|paid
1786|harbor|east|frame|83|held
1600|ember|west|gasket|79|paid
1812|dorian|north|cable|95|shipped
1413|acme|south|rotor|35|held
1647|dorian|south|pump|40|paid
1566|cobalt|south|sensor|20|shipped
1401|fulton|west|pump|94|held
1352|gale|south|sensor|44|pending
1751|cobalt|west|rotor|87|pending
1242|ionic|west|rotor|67|pending
1354|juno|north|gasket|86|paid
1438|juno|east|sensor|74|pending
1359|cobalt|south|rotor|41|paid
1515|cobalt|west|valve|10|held
1876|ember|south|gasket|42|shipped
1237|ember|south|rotor|50|shipped
1721|birch|north|panel|50|pending
1331|acme|west|sensor|66|pending
1687|cobalt|east|panel|71|shipped
1560|fulton|north|frame|86|paid
1614|acme|east|cable|43|held
1396|harbor|north|sensor|46|paid
1740|ember|north|frame|68|pending
1869|fulton|east|panel|96|pending
1253|acme|east|frame|54|pending
1538|birch|east|sensor|96|shipped
1516|acme|north|sensor|46|paid
1425|birch|east|rotor|98|shipped
1265|harbor|north|rotor|85|pending
1816|dorian|south|panel|79|shipped
1230|gale|east|frame|78|shipped
1701|juno|east|rotor|79|shipped
1260|gale|east|sensor|84|shipped
1512|birch|north|panel|40|pending
1505|cobalt|east|panel|50|paid
1339|harbor|north|gasket|20|shipped
1716|ember|north|pump|76|pending
1367|gale|south|cable|46|paid
1308|birch|south|pump|28|paid
1619|harbor|north|rotor|28|pending
1521|juno|east|panel|75|paid
1646|dorian|south|gasket|98|pending
1859|birch|east|rotor|88|pending
1460|ember|south|panel|62|pending
1344|birch|east|gasket|56|paid
1788|juno|north|pump|82|pending
1266|dorian|west|panel|49|shipped
1681|cobalt|east|frame|92|shipped
1218|ember|west|sensor|31|pending
1831|ionic|west|panel|68|pending
1493|juno|west|frame|98|pending
1201|ember|east|panel|79|pending
1207|dorian|north|sensor|65|paid
1655|ember|north|valve|64|held
1623|dorian|south|panel|61|shipped
1764|ionic|east|cable|40|shipped
1197|birch|south|pump|71|pending
1635|acme|south|rotor|85|held
1774|dorian|east|pump|88|shipped
1571|dorian|west|pump|86|pending
1852|ember|west|sensor|13|pending
1445|ember|north|valve|39|shipped
1862|fulton|west|cable|41|shipped
1370|ionic|west|pump|36|shipped
1371|cobalt|south|gasket|39|held
1811|gale|north|rotor|87|paid
1142|ionic|east|rotor|31|pending
1298|gale|east|frame|30|shipped
1290|ember|south|gasket|31|pending
1823|juno|west|gasket|52|paid
1882|fulton|north|rotor|97|paid
1326|birch|east|pump|55|shipped
1658|dorian|south|cable|35|paid
1243|harbor|west|frame|71|shipped
1607|ionic|south|panel|79|pending
1416|fulton|north|pump|65|paid
1159|ionic|north|rotor|10|held
1675|juno|north|cable|86|pending
1695|ember|south|gasket|66|held
1624|ember|west|cable|54|pending
1404|ember|north|rotor|48|paid
1459|ionic|east|gasket|70|pending
1395|ember|east|gasket|21|paid
1422|harbor|east|panel|81|paid
1475|birch|north|panel|52|paid
1576|ember|north|rotor|91|shipped
1456|gale|east|panel|91|pending
1347|dorian|west|frame|96|held
1685|acme|south|pump|30|pending
1507|acme|south|valve|42|shipped
1709|ember|east|cable|11|pending
1622|ember|north|panel|38|held
1883|ionic|west|frame|32|paid
1554|harbor|south|valve|80|paid
1291|harbor|west|valve|18|paid
1482|fulton|south|frame|63|pending
1580|ember|south|gasket|12|paid
1875|dorian|west|sensor|99|paid
1696|birch|south|sensor|86|shipped
1444|cobalt|west|panel|55|shipped
1798|ember|west|panel|52|held
1164|ionic|north|gasket|78|pending
1450|fulton|east|frame|91|held
1703|fulton|south|rotor|12|shipped
1272|harbor|south|sensor|32|pending
1652|harbor|south|cable|32|held
1628|birch|north|valve|78|shipped
1191|acme|north|valve|91|pending
1807|fulton|north|frame|39|held
1383|ember|east|panel|72|paid
1314|birch|east|rotor|98|paid
1694|harbor|west|cable|78|held
1233|acme|north|frame|41|paid
1185|ionic|west|cable|12|shipped
1334|dorian|east|gasket|12|shipped
1288|cobalt|north|sensor|70|paid
1192|ember|north|valve|23|paid
1279|gale|west|sensor|95|pending
1573|juno|north|valve|33|shipped
1745|acme|west|pump|39|shipped
1843|juno|north|gasket|54|shipped
1178|fulton|south|frame|13|shipped
1510|acme|west|cable|58|paid
1531|juno|west|sensor|43|shipped
1594|ionic|south|sensor|10|pending
1799|dorian|east|rotor|77|paid
1498|cobalt|west|sensor|74|paid
1486|ionic|east|frame|68|shipped
1639|birch|west|pump|22|held
1479|acme|east|rotor|13|shipped
1803|fulton|south|sensor|75|paid
1473|cobalt|north|frame|77|shipped
1375|ember|south|valve|74|shipped
1838|cobalt|south|pump|94|pending
1590|fulton|west|valve|79|shipped
1393|fulton|north|pump|10|shipped
1390|ionic|north|rotor|98|pending
1827|harbor|south|pump|55|paid
1587|birch|east|valve|59|pending
1848|acme|east|pump|38|pending
1381|ember|south|pump|32|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "cable", "qty": 48}},
{"tool": "restock", "args": {"item": "rotor", "qty": 70}},
{"tool": "restock", "args": {"item": "gasket", "qty": 78}},
{"tool": "restock", "args": {"item": "rotor", "qty": 98}}
]correctagentic.tools.triage-v1conf 100% · 2.4s · $0.029 · 2312 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 → haddad
- data → silva
- auth → rivera
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 2)
2. "export file corrupted" (category: data, priority 8)
3. "cannot reset password" (category: auth, priority 9)
4. "export file corrupted" (category: data, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-3"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 8
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.ledger-v1conf 100% · 2.5s · $0.028 · 2218 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: $819
- kilo: $855
- lima: $575
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $201 from "lima" to "kilo"
2. pay $535 from "bravo" to "lima"
3. pay $425 from "lima" to "bravo"
4. pay $237 from "kilo" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "kilo",
"amount": 201
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "lima",
"amount": 535
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "bravo",
"amount": 425
}
},
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "bravo",
"amount": 237
}
}
]correctagentic.tools.deploy-v1conf 100% · 2.3s · $0.014 · 1075 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: billing
- reports: search
- gateway: reports
- billing: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "reports"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "health_check",
"args": {
"service": "gateway"
}
}
]correctagentic.tools.context-load-v1conf 100% · 2.7s · $0.052 · 3448 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 (290 records, format: id|customer|region|item|qty|status):
```
2279|acme|east|gasket|34|shipped
1785|acme|west|pump|59|paid
2531|fulton|north|sensor|20|paid
1486|dorian|south|panel|66|held
2028|dorian|south|sensor|30|paid
1442|dorian|north|rotor|72|pending
2155|ember|north|gasket|38|paid
1692|gale|west|valve|60|paid
1740|ember|west|panel|22|paid
1763|birch|west|frame|54|pending
1970|acme|east|gasket|20|pending
2538|dorian|east|sensor|83|paid
1730|fulton|east|cable|17|shipped
2339|fulton|east|valve|15|pending
2040|ionic|north|panel|38|held
1825|harbor|east|frame|97|pending
2085|ember|north|panel|99|held
2233|acme|south|gasket|76|paid
1555|juno|north|gasket|48|shipped
1540|dorian|west|frame|22|paid
2103|gale|south|gasket|24|pending
2059|ionic|east|rotor|52|pending
1963|fulton|south|pump|33|held
1493|birch|west|gasket|74|shipped
2487|fulton|south|sensor|74|paid
2406|cobalt|east|pump|70|paid
1781|ionic|east|gasket|13|shipped
1560|cobalt|south|pump|49|paid
1980|cobalt|north|gasket|58|pending
1991|acme|north|rotor|70|paid
1861|ember|west|rotor|66|held
1858|acme|east|cable|56|paid
2342|juno|east|gasket|35|pending
1888|acme|south|panel|31|paid
2181|dorian|west|gasket|43|shipped
1926|harbor|south|sensor|49|pending
2056|juno|north|sensor|50|paid
1856|acme|south|frame|15|shipped
2016|juno|south|gasket|36|pending
1569|ember|west|gasket|40|held
2378|acme|south|valve|10|paid
2469|juno|north|gasket|18|paid
1907|acme|west|gasket|88|shipped
1549|cobalt|south|sensor|37|paid
2179|ember|north|panel|58|shipped
1553|fulton|east|valve|53|paid
2210|fulton|south|sensor|20|paid
1508|harbor|west|valve|27|pending
1845|juno|south|pump|32|paid
2547|cobalt|west|panel|37|held
2148|birch|south|cable|32|pending
1922|ember|south|pump|21|shipped
1590|dorian|west|valve|33|shipped
1557|birch|north|gasket|50|held
1501|cobalt|east|panel|61|paid
2169|gale|west|frame|15|pending
1470|dorian|south|sensor|39|shipped
1675|dorian|east|frame|68|shipped
1873|ionic|west|valve|25|held
1561|harbor|south|rotor|26|shipped
1531|fulton|south|valve|91|held
2119|birch|south|gasket|44|pending
1917|gale|east|rotor|33|paid
1544|ember|south|cable|56|held
2324|acme|south|cable|12|pending
2319|dorian|west|panel|38|pending
2143|fulton|north|frame|35|paid
1988|ionic|east|sensor|86|held
1809|cobalt|west|gasket|25|pending
2438|ionic|south|pump|28|pending
2344|birch|south|frame|55|pending
2235|acme|north|sensor|85|pending
2481|ionic|north|cable|51|pending
2239|harbor|north|valve|71|shipped
1648|dorian|west|gasket|55|pending
1678|ember|east|gasket|25|pending
1761|cobalt|west|frame|92|paid
2266|ionic|north|rotor|11|pending
1755|juno|north|panel|38|held
1632|ember|west|frame|71|held
1816|dorian|south|cable|80|paid
2249|cobalt|east|frame|75|held
2220|dorian|south|panel|84|paid
1705|birch|north|frame|88|paid
2367|harbor|south|valve|97|held
1593|dorian|west|gasket|96|shipped
2230|juno|west|valve|24|pending
1642|birch|east|frame|20|shipped
2371|ember|south|sensor|74|pending
1524|cobalt|north|cable|37|held
1886|birch|east|rotor|12|shipped
1760|ember|east|sensor|31|shipped
1666|gale|west|panel|68|paid
1807|ember|south|pump|78|pending
2513|ember|east|gasket|39|pending
2514|fulton|east|cable|18|held
1665|juno|north|panel|31|pending
1479|dorian|east|rotor|60|pending
2003|ionic|north|pump|47|shipped
1600|ionic|south|pump|79|shipped
2167|ionic|north|pump|19|shipped
2215|juno|north|gasket|57|held
1768|ember|south|cable|64|held
1723|cobalt|west|cable|83|pending
1453|dorian|south|frame|91|pending
2467|ionic|east|cable|42|paid
1574|juno|north|cable|52|held
2302|juno|east|cable|92|pending
2067|harbor|north|cable|60|pending
2074|juno|east|frame|24|pending
1935|juno|west|sensor|73|paid
1608|ember|east|gasket|69|paid
1455|dorian|west|panel|36|pending
2312|harbor|south|panel|78|shipped
2524|dorian|east|panel|43|pending
1985|fulton|north|pump|49|paid
1913|acme|west|gasket|66|pending
2008|harbor|west|valve|80|paid
1627|ember|east|frame|94|paid
1936|juno|west|rotor|52|pending
2081|gale|north|sensor|78|pending
1974|birch|south|frame|31|pending
2314|cobalt|north|cable|12|held
2433|cobalt|west|valve|98|shipped
2357|ember|south|sensor|28|pending
2255|birch|west|pump|91|held
2224|dorian|west|pump|28|shipped
1458|dorian|south|gasket|36|pending
1495|dorian|west|gasket|54|paid
2187|gale|west|pump|34|paid
1436|dorian|south|frame|41|pending
2488|harbor|west|panel|64|pending
1813|cobalt|north|pump|12|shipped
1581|acme|east|valve|12|paid
2415|acme|south|panel|77|paid
1695|ionic|east|pump|86|pending
2445|gale|east|sensor|75|pending
1811|harbor|south|gasket|38|shipped
2428|fulton|east|gasket|84|paid
1609|acme|west|gasket|34|pending
1748|cobalt|north|rotor|89|shipped
2489|cobalt|west|sensor|23|shipped
2206|birch|north|sensor|61|paid
2259|acme|south|gasket|11|paid
2039|cobalt|east|sensor|31|shipped
1548|ember|south|sensor|72|held
2486|ember|north|gasket|42|held
2554|cobalt|south|panel|74|shipped
2362|acme|north|sensor|97|paid
2329|dorian|east|valve|19|paid
2348|birch|east|pump|40|paid
1534|gale|north|gasket|16|paid
2194|fulton|east|panel|22|held
1685|ember|south|valve|36|pending
2246|gale|south|pump|90|paid
1500|juno|west|valve|17|held
1792|acme|east|panel|48|shipped
1657|ember|west|frame|45|held
2023|gale|south|sensor|48|held
2320|ionic|north|gasket|98|pending
2425|acme|south|pump|13|held
1716|fulton|north|cable|70|held
1517|ember|south|pump|70|paid
1651|birch|east|pump|42|shipped
2400|ember|west|frame|49|shipped
2006|cobalt|west|gasket|15|paid
2456|dorian|east|cable|65|pending
1709|birch|west|sensor|24|pending
1997|birch|south|frame|75|paid
1447|dorian|south|panel|42|shipped
1565|birch|west|frame|99|pending
2213|gale|east|sensor|33|shipped
2383|cobalt|north|pump|54|held
1941|dorian|south|cable|61|paid
2545|acme|south|rotor|38|shipped
2325|gale|west|gasket|62|pending
1848|juno|east|frame|81|shipped
1916|fulton|south|valve|13|paid
1930|birch|east|pump|34|held
2292|acme|south|pump|88|held
2084|harbor|south|gasket|48|shipped
2202|fulton|north|frame|49|shipped
2288|juno|south|valve|65|shipped
1906|gale|east|pump|24|shipped
2507|juno|south|frame|93|held
2109|gale|east|gasket|42|shipped
1464|dorian|north|panel|36|pending
2193|harbor|west|sensor|49|shipped
1621|harbor|east|pump|78|held
1658|harbor|east|valve|29|shipped
2476|fulton|east|frame|26|paid
2090|ionic|east|cable|78|paid
1617|ember|east|sensor|90|shipped
1836|fulton|south|frame|12|pending
1822|birch|north|rotor|52|pending
2548|dorian|south|rotor|19|shipped
1559|ionic|south|panel|64|pending
2162|harbor|south|pump|75|shipped
2328|cobalt|west|panel|74|pending
2041|juno|east|cable|20|shipped
2196|juno|west|rotor|74|held
1576|gale|north|valve|41|held
1871|ember|south|pump|17|shipped
2022|harbor|south|pump|57|shipped
2495|ionic|south|frame|89|shipped
1511|ionic|west|cable|47|held
2541|acme|west|valve|60|pending
2399|dorian|south|cable|64|pending
1798|ionic|east|pump|69|pending
1952|ionic|west|pump|42|shipped
1456|dorian|south|pump|30|shipped
2561|fulton|north|valve|35|held
2048|gale|west|gasket|70|pending
2270|harbor|east|gasket|23|held
2308|ionic|north|sensor|59|paid
2389|ember|east|rotor|63|held
2453|ionic|east|valve|16|held
2413|ionic|west|valve|63|pending
2176|harbor|north|gasket|13|held
2052|ionic|west|cable|33|paid
2212|ember|north|panel|53|paid
2044|cobalt|east|frame|19|shipped
1954|gale|west|cable|20|shipped
1900|juno|south|panel|86|shipped
1775|acme|west|pump|45|shipped
1615|birch|west|cable|56|held
2051|dorian|south|frame|51|pending
2506|gale|south|panel|19|pending
1787|dorian|north|rotor|32|pending
2503|ionic|east|valve|77|pending
1894|ember|south|gasket|13|shipped
1518|cobalt|north|gasket|13|pending
2517|juno|east|gasket|28|pending
2263|fulton|south|rotor|25|paid
2334|harbor|north|cable|97|held
2562|gale|east|panel|86|paid
2419|birch|north|valve|10|shipped
2010|juno|west|panel|84|held
2297|juno|west|panel|57|paid
1669|fulton|east|sensor|87|shipped
2353|gale|west|cable|55|shipped
2227|harbor|east|rotor|95|held
1829|fulton|east|pump|17|pending
2130|cobalt|south|sensor|85|held
2395|fulton|east|panel|12|paid
2398|fulton|north|sensor|37|shipped
2368|ionic|north|panel|45|paid
2283|birch|north|frame|80|paid
2134|juno|west|valve|26|pending
1638|birch|east|frame|51|shipped
1585|harbor|south|panel|99|held
1605|cobalt|west|frame|62|paid
1947|dorian|south|panel|94|paid
1687|harbor|east|sensor|61|held
1868|fulton|east|cable|56|pending
1998|ionic|south|cable|50|held
2034|cobalt|south|frame|79|pending
2479|ember|east|sensor|67|pending
1842|harbor|west|frame|20|pending
2018|ember|north|rotor|47|shipped
1717|fulton|north|cable|85|pending
2140|ember|south|cable|30|held
2251|ionic|west|sensor|68|paid
2448|acme|north|rotor|61|shipped
1879|birch|north|frame|39|pending
1474|dorian|south|valve|63|pending
2439|ember|south|gasket|58|pending
2062|ionic|east|valve|26|pending
2505|dorian|south|gasket|35|held
1702|acme|east|panel|57|pending
2126|birch|south|frame|90|shipped
2114|harbor|north|sensor|99|paid
2146|juno|west|gasket|91|paid
2462|birch|west|pump|10|paid
1804|juno|east|rotor|25|held
1790|dorian|south|rotor|78|shipped
2276|acme|west|rotor|68|held
1626|ember|north|sensor|10|paid
2096|dorian|east|rotor|31|held
1849|gale|north|sensor|64|shipped
2553|dorian|east|panel|46|paid
1893|harbor|north|sensor|61|held
2020|dorian|north|gasket|61|shipped
1961|ionic|east|rotor|74|paid
2435|birch|east|valve|26|pending
1744|ember|east|panel|50|held
2232|birch|south|gasket|28|shipped
2183|cobalt|west|frame|27|shipped
1736|acme|south|sensor|52|held
2497|harbor|east|pump|33|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 45, 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": 1436
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 91
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1458
}
},
{
"tool": "restock",
"args": {
"item": "valve",
"qty": 63
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 51
}
},
{
"tool": "restock",
"args": {
"item": "cable",
"qty": 64
}
}
]correctagentic.tools.triage-v1conf 100% · 2.4s · $0.035 · 2789 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:
- auth → novak
- data → dubois
- payments → tanaka
INCIDENTS:
1. "cannot reset password" (category: auth, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "refund double-charged" (category: payments, priority 2)
4. "cannot reset password" (category: auth, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.ledger-v1conf 100% · 2.7s · $0.025 · 2017 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: $545
- delta: $839
- lima: $536
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $228 from "delta" to "lima"
2. pay $295 from "kilo" to "lima"
3. pay $104 from "kilo" to "lima"
4. pay $338 from "delta" to "lima"
5. pay $500 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 228
}
},
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "lima",
"amount": 295
}
},
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "lima",
"amount": 104
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 338
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 227
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 500
}
}
]correctagentic.tools.deploy-v1conf 100% · 2.2s · $0.017 · 1372 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: reports
- reports: (none)
- search: reports
- auth-svc: reports, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "health_check",
"args": {
"service": "auth-svc"
}
}
]correctagentic.tools.context-load-v1conf 100% · 3.0s · $0.054 · 3613 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 (293 records, format: id|customer|region|item|qty|status):
```
1794|acme|south|pump|69|pending
1615|dorian|east|gasket|26|paid
1760|harbor|west|gasket|78|pending
1503|dorian|east|cable|81|paid
2225|harbor|east|gasket|11|paid
2606|ember|east|frame|60|held
1604|birch|south|gasket|76|pending
1634|dorian|east|rotor|21|held
2609|juno|west|panel|13|pending
2051|ionic|east|rotor|79|paid
1897|ember|west|panel|70|pending
2418|harbor|east|cable|50|pending
2515|dorian|south|sensor|51|pending
2174|harbor|east|frame|98|pending
2529|cobalt|west|valve|59|paid
2343|ember|east|frame|94|held
1743|ember|east|cable|47|held
2036|cobalt|west|valve|76|shipped
2577|fulton|south|valve|67|shipped
1858|ionic|west|frame|90|paid
2302|ember|west|valve|56|held
2425|harbor|north|pump|26|pending
2104|dorian|west|valve|73|held
1559|gale|south|gasket|55|held
1763|gale|north|gasket|58|shipped
2217|dorian|east|panel|67|held
1969|juno|north|sensor|14|paid
1524|fulton|west|sensor|38|paid
1482|harbor|north|sensor|53|held
2559|harbor|north|valve|49|pending
2056|juno|west|rotor|52|pending
2261|ember|north|sensor|40|pending
1694|acme|north|pump|15|paid
1484|gale|east|panel|93|held
2323|ember|south|frame|55|pending
2328|ionic|west|panel|25|shipped
1627|acme|east|rotor|65|pending
2642|fulton|north|valve|59|pending
1676|fulton|west|panel|66|pending
2219|juno|east|cable|93|shipped
1797|fulton|east|cable|17|shipped
1567|dorian|east|panel|52|held
1542|birch|east|panel|77|paid
1775|harbor|west|panel|43|held
1656|ionic|east|frame|92|shipped
1706|fulton|north|pump|50|pending
2208|ionic|south|rotor|25|held
1563|fulton|north|valve|92|shipped
1887|ionic|south|frame|32|shipped
2335|dorian|west|frame|78|shipped
1894|dorian|south|frame|98|held
2541|fulton|east|panel|82|held
1721|ember|west|valve|13|shipped
2064|harbor|west|frame|57|shipped
1790|gale|north|frame|92|shipped
2087|harbor|south|sensor|24|pending
1683|ember|east|gasket|36|paid
2305|ember|north|frame|44|paid
2375|ember|east|panel|35|held
2187|fulton|south|cable|65|pending
2340|harbor|south|pump|31|held
2287|harbor|east|frame|88|shipped
1883|cobalt|west|rotor|55|shipped
1537|ember|north|gasket|66|paid
1435|ember|west|cable|86|pending
2507|juno|east|gasket|46|pending
2326|cobalt|south|sensor|19|held
2239|cobalt|north|rotor|16|pending
2146|ionic|east|gasket|26|held
1476|ember|west|sensor|49|shipped
1785|fulton|west|cable|47|pending
2202|fulton|west|valve|48|held
2210|juno|east|pump|23|shipped
2377|acme|north|gasket|24|shipped
2379|fulton|south|gasket|34|pending
2362|acme|east|panel|63|shipped
2534|cobalt|north|sensor|21|held
1847|fulton|south|rotor|63|paid
2127|harbor|south|gasket|56|pending
1778|harbor|east|sensor|68|shipped
2383|juno|south|sensor|52|pending
2619|dorian|east|sensor|39|paid
1717|acme|south|panel|15|pending
1971|dorian|north|pump|80|pending
1596|birch|west|panel|76|pending
2438|ionic|east|panel|89|pending
1848|cobalt|north|gasket|67|paid
1495|fulton|east|panel|76|held
2500|cobalt|south|panel|29|paid
2078|acme|south|gasket|12|pending
1662|cobalt|south|cable|76|shipped
2196|dorian|north|valve|96|shipped
1745|ionic|south|gasket|64|held
2276|juno|north|cable|31|pending
1822|ionic|west|gasket|83|shipped
2373|gale|west|cable|80|paid
2264|cobalt|east|valve|27|paid
2637|ember|east|frame|89|paid
2046|juno|east|valve|80|shipped
2026|ionic|south|cable|82|pending
2470|acme|south|frame|41|pending
2405|harbor|west|sensor|87|paid
2475|gale|west|frame|91|shipped
2022|juno|south|gasket|93|shipped
1556|fulton|south|gasket|78|shipped
2115|acme|east|frame|63|shipped
1844|dorian|west|pump|41|pending
1736|fulton|west|cable|49|paid
1553|dorian|north|valve|14|pending
1945|birch|west|valve|86|held
1725|juno|north|gasket|13|paid
2525|dorian|east|valve|13|pending
1548|ember|south|cable|23|shipped
1929|fulton|south|cable|88|held
1952|fulton|west|cable|82|paid
2002|ember|east|rotor|59|pending
2120|ionic|east|gasket|74|pending
2466|dorian|south|valve|61|held
2597|ionic|north|panel|64|pending
1876|ember|east|cable|35|pending
1589|acme|east|panel|88|shipped
1870|harbor|north|rotor|93|pending
1819|acme|north|valve|85|held
1767|birch|west|panel|27|held
1885|ember|west|frame|37|shipped
2165|acme|west|panel|32|shipped
1990|acme|west|rotor|94|shipped
2042|juno|east|sensor|33|pending
1916|ionic|north|sensor|37|shipped
1590|ember|north|gasket|96|paid
2499|ionic|west|valve|39|pending
1780|ember|east|gasket|64|held
1641|birch|south|valve|39|held
1638|birch|west|valve|47|held
2521|gale|south|pump|28|shipped
1730|ember|west|gasket|53|paid
1444|ember|west|panel|96|shipped
1934|ember|north|rotor|26|shipped
1506|ember|south|gasket|74|shipped
1651|harbor|west|sensor|69|pending
1507|ionic|east|cable|59|shipped
1983|harbor|east|valve|36|held
2300|ionic|east|cable|49|shipped
1572|harbor|west|frame|25|held
2119|cobalt|west|sensor|53|pending
1514|cobalt|west|sensor|92|pending
2603|cobalt|south|valve|83|paid
2185|acme|east|frame|81|held
1470|ember|west|valve|90|shipped
2015|gale|south|panel|47|paid
2501|cobalt|west|sensor|84|shipped
2008|cobalt|east|pump|18|shipped
2445|ember|south|sensor|27|held
2419|gale|west|frame|25|pending
1770|fulton|west|valve|37|shipped
2390|ember|east|cable|29|paid
1757|fulton|south|pump|13|pending
2311|ember|north|valve|32|paid
1645|ember|east|frame|16|shipped
1712|birch|west|cable|13|shipped
2159|cobalt|east|pump|79|pending
1750|birch|south|rotor|28|paid
2136|gale|south|cable|80|held
2357|harbor|south|valve|24|shipped
1472|ember|west|valve|87|pending
1828|birch|north|cable|47|pending
1699|fulton|north|sensor|89|held
1653|ember|east|valve|54|paid
1456|ember|west|pump|75|shipped
2605|ionic|west|frame|17|paid
1439|ember|south|pump|85|pending
2489|fulton|north|sensor|56|paid
2571|acme|north|rotor|47|shipped
2028|ember|north|sensor|77|paid
2628|acme|south|gasket|13|shipped
2447|gale|west|pump|76|shipped
2433|fulton|north|valve|85|paid
1947|fulton|south|cable|58|pending
2245|ember|west|panel|12|held
2325|harbor|east|sensor|31|shipped
1497|acme|north|gasket|94|pending
2400|harbor|west|frame|69|shipped
2050|cobalt|west|gasket|47|paid
1839|dorian|east|pump|71|held
1671|harbor|south|gasket|79|pending
2626|cobalt|north|panel|69|held
2178|ionic|east|panel|30|pending
1963|dorian|north|frame|42|held
1593|ember|east|frame|73|paid
2408|birch|south|sensor|30|shipped
1586|birch|east|panel|69|shipped
2496|dorian|north|valve|29|paid
1708|acme|south|rotor|35|pending
2350|dorian|north|gasket|24|paid
2194|dorian|south|rotor|26|shipped
2256|harbor|west|sensor|65|paid
2410|cobalt|south|valve|45|pending
1744|ember|south|frame|43|shipped
2168|birch|east|sensor|64|pending
1890|fulton|north|pump|94|shipped
2589|harbor|west|pump|93|pending
1690|acme|south|panel|36|shipped
2554|cobalt|west|gasket|68|shipped
1940|ionic|west|valve|23|held
1459|ember|west|gasket|65|pending
2018|cobalt|west|pump|42|paid
1938|birch|west|cable|82|held
1465|ember|south|pump|49|pending
2094|juno|south|valve|26|shipped
2482|dorian|south|cable|91|pending
2071|birch|west|pump|80|paid
2100|harbor|east|valve|52|pending
2583|fulton|east|pump|55|paid
1811|gale|east|gasket|72|pending
2032|harbor|south|panel|80|paid
1519|ember|east|rotor|21|shipped
1864|ionic|south|valve|40|shipped
1956|fulton|north|sensor|84|pending
1533|ember|south|cable|50|paid
2635|juno|west|gasket|53|pending
2387|fulton|north|rotor|93|pending
1996|dorian|east|sensor|83|held
2250|gale|east|gasket|93|paid
2439|cobalt|south|sensor|75|shipped
1655|dorian|south|sensor|48|pending
2111|harbor|east|rotor|65|shipped
1664|birch|north|pump|59|pending
2590|juno|south|cable|86|pending
1600|ember|south|valve|70|paid
1834|cobalt|south|frame|44|paid
2282|harbor|south|sensor|22|held
2295|fulton|east|panel|40|pending
2153|ionic|east|frame|90|paid
2508|dorian|north|valve|17|paid
2057|acme|west|cable|64|paid
1474|ember|north|panel|21|pending
2059|birch|west|pump|68|shipped
2563|acme|east|gasket|78|pending
1620|cobalt|east|cable|76|held
2591|ember|south|panel|27|pending
1807|harbor|east|gasket|92|held
2612|cobalt|south|pump|87|shipped
2044|harbor|east|panel|82|held
1975|acme|north|gasket|44|shipped
2085|juno|east|rotor|89|held
2599|gale|east|pump|34|shipped
1609|cobalt|west|rotor|83|paid
1455|ember|south|gasket|31|pending
1899|birch|east|rotor|80|pending
1942|dorian|north|gasket|38|paid
2366|birch|north|rotor|68|held
2464|dorian|south|frame|26|pending
2547|acme|south|frame|74|paid
2130|gale|south|gasket|52|held
1802|ionic|north|sensor|56|pending
1633|ionic|north|gasket|16|shipped
1922|ember|south|cable|94|paid
1449|ember|west|valve|23|pending
1689|harbor|north|frame|38|pending
2461|harbor|west|frame|93|shipped
2394|ionic|east|valve|80|shipped
1912|ionic|south|cable|54|pending
2645|juno|north|cable|15|pending
2269|ionic|east|rotor|23|pending
1579|juno|east|sensor|53|shipped
2316|harbor|south|pump|35|pending
2564|dorian|west|gasket|52|held
2003|harbor|north|valve|15|paid
1852|gale|west|gasket|96|held
2423|juno|south|cable|82|paid
1878|juno|north|frame|83|held
2454|cobalt|north|pump|23|held
1918|fulton|west|frame|33|shipped
2077|juno|north|rotor|39|paid
2140|gale|east|valve|10|held
1580|acme|north|frame|56|held
1982|birch|east|rotor|83|held
2584|ember|north|sensor|28|held
2553|harbor|north|panel|25|pending
2384|gale|west|valve|11|paid
2232|gale|east|gasket|39|held
2430|cobalt|west|frame|99|shipped
1527|acme|north|frame|17|held
2416|juno|west|rotor|48|held
1489|birch|south|valve|42|pending
1815|cobalt|east|sensor|56|pending
1543|gale|west|gasket|65|pending
1905|gale|east|valve|57|pending
2292|gale|south|frame|68|paid
1532|fulton|south|pump|38|held
2407|cobalt|south|gasket|71|pending
2098|juno|south|frame|94|shipped
1698|ionic|east|gasket|53|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "restock",
"args": {
"item": "cable",
"qty": 86
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1449
}
},
{
"tool": "restock",
"args": {
"item": "gasket",
"qty": 65
}
},
{
"tool": "restock",
"args": {
"item": "valve",
"qty": 87
}
},
{
"tool": "restock",
"args": {
"item": "panel",
"qty": 70
}
}
]correctagentic.tools.triage-v1conf 100% · 2.3s · $0.030 · 2452 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:
- auth → haddad
- payments → rivera
- infra → chen
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 9)
2. "refund double-charged" (category: payments, priority 6)
3. "refund double-charged" (category: payments, priority 6)
4. "cannot reset password" (category: auth, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 6
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "haddad"
}
}
]correctagentic.tools.context-load-v1conf 100% · 2.4s · $0.101 · 7573 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 (277 records, format: id|customer|region|item|qty|status):
```
1698|juno|west|rotor|70|pending
1356|juno|north|rotor|83|pending
2069|juno|east|gasket|88|held
2042|cobalt|west|valve|96|pending
1715|ionic|north|panel|60|shipped
1748|acme|north|frame|96|paid
1548|acme|west|pump|96|held
1639|acme|south|gasket|69|paid
1718|juno|west|valve|94|paid
1706|ionic|west|frame|91|paid
1873|ember|north|pump|96|pending
2068|fulton|north|frame|39|held
2164|ember|south|cable|56|held
2145|cobalt|east|rotor|24|held
2190|acme|north|rotor|58|held
2241|dorian|south|panel|91|pending
1759|birch|east|valve|33|pending
2191|fulton|north|pump|83|held
1948|cobalt|east|frame|27|pending
2350|birch|north|frame|54|held
1940|fulton|west|gasket|55|pending
1637|cobalt|west|frame|32|shipped
1390|juno|east|panel|43|shipped
1679|juno|north|valve|54|held
2387|juno|south|valve|79|paid
2287|cobalt|north|rotor|77|held
1513|harbor|north|panel|87|paid
2374|acme|north|panel|24|held
1954|ember|east|rotor|34|paid
1847|fulton|south|gasket|81|held
1503|fulton|west|gasket|49|shipped
1737|fulton|east|pump|85|held
1629|cobalt|east|cable|12|paid
2342|acme|south|sensor|64|shipped
1352|juno|east|valve|19|pending
1400|ember|west|rotor|65|pending
1789|fulton|south|valve|51|paid
1615|ionic|north|rotor|26|shipped
1670|ember|south|sensor|62|held
2316|fulton|west|gasket|53|held
1815|gale|west|gasket|88|held
2214|juno|west|panel|72|held
1978|ember|west|panel|46|held
1562|harbor|north|valve|29|pending
2107|acme|east|gasket|57|shipped
2261|cobalt|north|cable|88|held
1613|ionic|west|panel|50|held
2311|ionic|west|pump|75|held
1787|cobalt|north|panel|39|shipped
1580|fulton|south|gasket|98|shipped
1768|fulton|south|gasket|19|pending
1361|juno|east|rotor|61|paid
1467|harbor|south|rotor|85|pending
1559|birch|east|gasket|43|held
2142|acme|west|cable|75|held
2388|dorian|west|panel|85|paid
1659|cobalt|north|valve|28|held
2070|acme|west|sensor|57|held
1673|juno|east|rotor|50|paid
2168|cobalt|west|frame|99|paid
2135|fulton|north|valve|83|held
1845|juno|south|cable|55|shipped
1820|ionic|south|frame|73|held
2102|ionic|south|rotor|60|held
1496|birch|north|gasket|96|pending
1597|cobalt|north|gasket|33|shipped
1709|ember|east|rotor|82|held
2373|acme|west|frame|15|shipped
1554|juno|east|frame|11|paid
2166|harbor|south|panel|28|paid
1778|harbor|east|sensor|31|pending
2290|fulton|south|cable|31|held
1590|cobalt|east|gasket|66|paid
2323|acme|south|frame|23|held
1884|dorian|east|panel|18|shipped
1460|ionic|west|rotor|12|paid
2301|gale|north|gasket|48|pending
2120|cobalt|west|cable|21|shipped
1721|ionic|north|sensor|95|held
1734|juno|south|gasket|40|pending
1680|juno|east|rotor|23|paid
2247|dorian|north|valve|85|paid
1598|ember|east|pump|68|pending
2207|fulton|north|panel|24|shipped
1345|juno|east|cable|89|held
1795|cobalt|east|sensor|95|pending
1843|cobalt|south|pump|81|paid
2267|birch|west|panel|73|paid
1994|gale|west|frame|68|held
2201|ionic|south|cable|27|pending
2090|dorian|east|sensor|49|pending
2187|ember|north|valve|43|held
2258|birch|north|rotor|31|paid
1926|ionic|east|sensor|79|held
1378|juno|east|sensor|74|pending
1633|fulton|south|pump|41|paid
2322|ionic|south|frame|22|pending
2380|dorian|east|cable|51|held
2154|juno|south|gasket|53|held
1859|ionic|east|cable|67|shipped
2294|cobalt|south|gasket|79|pending
1860|acme|south|valve|32|held
1900|harbor|east|sensor|18|shipped
1572|dorian|south|pump|86|pending
2072|dorian|north|rotor|62|pending
2028|dorian|west|panel|59|held
2364|dorian|east|frame|19|paid
1542|juno|east|valve|59|held
2244|birch|south|pump|71|shipped
2254|fulton|east|rotor|16|shipped
1916|ionic|south|frame|45|pending
1643|harbor|south|gasket|42|pending
2174|harbor|west|frame|19|paid
1775|juno|east|panel|88|pending
2081|harbor|east|valve|78|pending
2143|cobalt|south|rotor|22|pending
1500|cobalt|west|valve|76|held
2023|harbor|west|valve|19|pending
1674|cobalt|south|gasket|61|shipped
2212|ionic|east|gasket|82|paid
1363|juno|east|panel|73|pending
1741|ionic|south|rotor|13|shipped
1465|harbor|west|valve|76|paid
1826|cobalt|south|sensor|98|paid
1344|juno|north|panel|65|pending
1446|dorian|east|gasket|57|pending
1433|cobalt|east|sensor|90|shipped
1444|ember|north|rotor|25|paid
1693|gale|south|panel|52|paid
2230|fulton|north|rotor|60|held
1628|dorian|west|gasket|15|shipped
1506|cobalt|east|cable|48|paid
2139|cobalt|north|frame|76|held
2256|fulton|south|panel|73|held
1747|harbor|south|valve|88|paid
1622|fulton|west|panel|62|pending
1480|harbor|east|valve|25|pending
1489|acme|south|pump|13|held
1485|ember|west|rotor|40|shipped
1520|gale|east|pump|51|paid
1472|dorian|west|pump|30|pending
2307|ember|west|pump|33|pending
1669|fulton|west|cable|36|shipped
1920|gale|north|cable|59|pending
1420|fulton|east|sensor|66|shipped
1527|cobalt|south|frame|91|held
1508|birch|east|sensor|42|held
1894|gale|west|frame|91|shipped
1728|birch|west|frame|70|pending
2151|harbor|south|cable|46|shipped
1692|ember|south|frame|43|pending
1979|juno|east|pump|92|held
1437|dorian|west|cable|72|paid
1921|juno|east|valve|36|shipped
2275|acme|east|panel|32|pending
1583|juno|west|frame|84|pending
2157|acme|south|valve|30|pending
2341|acme|east|valve|50|shipped
2339|dorian|east|rotor|27|pending
1445|cobalt|south|frame|98|held
1779|juno|north|rotor|12|pending
2200|harbor|south|gasket|69|held
2084|birch|east|sensor|17|shipped
1426|harbor|east|gasket|32|shipped
1564|dorian|south|valve|44|paid
1740|harbor|west|rotor|52|paid
1394|birch|south|gasket|57|held
1903|ember|south|sensor|16|shipped
1753|juno|north|cable|20|held
1968|juno|west|valve|18|paid
1782|ember|north|pump|65|paid
1429|harbor|south|sensor|14|paid
1546|dorian|south|valve|68|shipped
2284|harbor|north|frame|15|shipped
1653|juno|south|valve|63|paid
2224|fulton|south|gasket|81|pending
2002|ember|west|panel|84|shipped
1393|acme|west|pump|21|shipped
1915|juno|east|valve|52|shipped
1700|birch|west|rotor|87|pending
2078|gale|north|frame|17|pending
1474|birch|north|pump|54|held
2071|ionic|south|valve|15|paid
1864|fulton|south|gasket|38|shipped
1770|dorian|south|frame|69|pending
1878|ember|west|valve|45|held
1566|birch|east|valve|16|held
2235|cobalt|north|panel|89|paid
1939|dorian|east|frame|57|paid
2270|juno|east|gasket|96|paid
2033|ember|north|sensor|80|shipped
2330|ember|east|panel|90|paid
1880|birch|west|sensor|28|shipped
1592|harbor|south|frame|18|pending
1793|birch|east|panel|26|paid
1914|harbor|west|cable|97|shipped
1986|fulton|south|pump|93|held
2171|dorian|south|pump|67|shipped
2055|acme|north|rotor|72|shipped
2357|cobalt|south|panel|35|held
1839|harbor|south|gasket|80|held
2108|dorian|north|rotor|54|shipped
1942|ionic|west|gasket|36|paid
2236|cobalt|north|pump|55|pending
1406|birch|north|gasket|71|held
1600|dorian|north|rotor|78|paid
1341|juno|east|valve|33|pending
2366|dorian|south|sensor|49|held
1573|juno|south|frame|48|paid
1935|dorian|west|pump|86|paid
2382|acme|east|frame|92|held
1989|harbor|west|gasket|39|shipped
2113|harbor|east|rotor|92|shipped
2010|harbor|east|gasket|14|paid
1909|acme|north|valve|90|paid
1956|birch|east|rotor|59|shipped
1553|gale|south|gasket|64|shipped
2197|ember|north|panel|44|held
1982|cobalt|east|cable|95|pending
1449|ionic|north|gasket|68|held
1649|juno|north|panel|81|paid
1662|ionic|east|sensor|76|held
1717|juno|south|pump|49|pending
1514|ionic|north|panel|96|shipped
2369|cobalt|north|frame|67|shipped
2332|birch|north|sensor|65|held
1410|acme|north|frame|90|shipped
1832|ionic|west|valve|55|shipped
1975|birch|east|cable|36|pending
1853|harbor|east|rotor|47|held
1475|acme|north|rotor|11|pending
1499|fulton|north|valve|41|paid
2036|dorian|east|rotor|39|paid
1367|juno|south|sensor|33|pending
2343|juno|north|pump|99|shipped
2016|cobalt|north|cable|12|paid
2008|birch|south|sensor|81|held
1607|cobalt|west|frame|68|held
1372|juno|east|rotor|36|shipped
1545|harbor|south|sensor|33|paid
1998|dorian|west|rotor|63|shipped
2277|gale|south|gasket|21|pending
1531|ember|east|rotor|86|pending
2125|juno|north|gasket|97|shipped
1685|ember|east|frame|59|shipped
1384|juno|west|pump|80|pending
2049|ionic|west|pump|41|paid
2096|gale|north|rotor|53|shipped
2059|gale|west|frame|88|paid
1750|cobalt|south|frame|21|pending
1689|ember|south|pump|62|shipped
1454|cobalt|east|cable|49|shipped
1746|dorian|south|valve|71|pending
1931|birch|south|panel|35|shipped
2173|fulton|south|panel|99|pending
1963|birch|east|frame|36|paid
1762|ionic|north|cable|99|held
1855|harbor|south|cable|31|shipped
1800|fulton|west|panel|65|paid
2180|ember|east|valve|41|pending
2336|ember|west|panel|57|held
2209|fulton|east|panel|72|held
1806|birch|south|sensor|12|paid
1811|birch|east|gasket|44|held
1417|juno|east|pump|14|held
1399|ionic|south|sensor|66|shipped
1955|ember|south|valve|99|paid
1891|ionic|east|rotor|12|pending
2219|fulton|west|cable|81|pending
1535|acme|east|frame|14|paid
2064|ionic|north|valve|87|pending
2358|ember|east|panel|88|shipped
2179|gale|south|sensor|33|held
2132|fulton|west|frame|55|held
1869|ionic|west|rotor|46|pending
2041|ember|west|valve|73|paid
2109|acme|south|rotor|19|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "cancel_order",
"args": {
"order_id": 1341
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1352
}
},
{
"tool": "restock",
"args": {
"item": "panel",
"qty": 73
}
},
{
"tool": "restock",
"args": {
"item": "sensor",
"qty": 74
}
},
{
"tool": "restock",
"args": {
"item": "panel",
"qty": 88
}
}
]correctagentic.tools.deploy-v1conf 100% · 2.4s · $0.020 · 1573 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: (none)
- auth-svc: search
- gateway: notifier, search
- notifier: auth-svc, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "health_check",
"args": {
"service": "notifier"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
}
]correctagentic.tools.ledger-v1conf 100% · 2.6s · $0.032 · 2612 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: $602
- echo: $653
- alpha: $766
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $399 from "alpha" to "echo"
2. pay $376 from "echo" to "lima"
3. pay $420 from "alpha" to "echo"
4. pay $578 from "echo" to "lima"
5. pay $512 from "alpha" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "echo",
"amount": 399
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "lima",
"amount": 376
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 53
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "echo",
"amount": 420
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "lima",
"amount": 578
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 512
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "lima",
"amount": 512
}
}
]correctagentic.tools.triage-v1conf 100% · 2.3s · $0.018 · 1457 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- auth → tanaka
- data → dubois
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 5)
2. "cannot reset password" (category: auth, priority 8)
3. "cannot reset password" (category: auth, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 8
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.context-load-v1conf 100% · 2.7s · $0.096 · 7494 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 (149 records, format: id|customer|region|item|qty|status):
```
1145|gale|south|frame|98|held
1293|cobalt|west|panel|52|pending
1509|gale|east|cable|67|pending
1462|ember|west|panel|92|paid
1420|fulton|north|panel|48|pending
1434|harbor|west|panel|12|paid
1643|dorian|north|pump|21|paid
1572|cobalt|south|cable|10|pending
1336|birch|south|sensor|98|shipped
1612|birch|south|sensor|61|shipped
1387|juno|north|valve|17|shipped
1529|cobalt|north|sensor|58|held
1632|cobalt|south|frame|29|pending
1139|acme|north|sensor|39|shipped
1483|ember|south|panel|98|held
1374|harbor|north|rotor|52|pending
1165|harbor|east|pump|80|pending
1218|cobalt|west|gasket|34|pending
1256|dorian|north|rotor|99|paid
1496|ember|west|pump|92|held
1421|dorian|north|gasket|78|held
1231|ionic|west|pump|89|paid
1431|dorian|east|rotor|19|paid
1193|fulton|east|rotor|55|paid
1112|ember|east|cable|43|held
1555|juno|west|rotor|58|shipped
1452|fulton|north|valve|86|held
1503|juno|west|panel|83|shipped
1200|cobalt|north|pump|23|pending
1128|ember|east|cable|42|pending
1413|dorian|south|valve|43|shipped
1324|acme|south|frame|29|shipped
1541|gale|south|sensor|44|paid
1189|ember|east|frame|92|paid
1625|birch|south|valve|18|pending
1506|dorian|south|pump|74|pending
1613|acme|west|cable|47|pending
1305|fulton|east|rotor|72|paid
1455|acme|east|rotor|84|shipped
1161|cobalt|east|gasket|26|pending
1104|ember|east|gasket|75|pending
1261|harbor|east|valve|92|pending
1445|harbor|east|cable|60|shipped
1471|gale|south|valve|65|paid
1341|cobalt|north|panel|24|paid
1307|dorian|west|cable|51|paid
1396|cobalt|south|frame|39|held
1211|ionic|east|rotor|92|pending
1273|acme|south|sensor|63|pending
1269|fulton|north|sensor|94|pending
1380|gale|south|valve|38|shipped
1262|dorian|south|sensor|38|paid
1624|fulton|north|sensor|48|pending
1497|fulton|south|panel|64|paid
1608|dorian|east|panel|36|shipped
1357|dorian|north|rotor|45|pending
1290|gale|south|cable|76|held
1522|harbor|west|rotor|98|paid
1106|ember|west|pump|26|pending
1179|cobalt|west|cable|56|held
1170|dorian|north|cable|44|shipped
1318|birch|south|frame|18|pending
1097|ember|south|gasket|85|pending
1550|ionic|south|gasket|47|held
1481|ionic|east|frame|60|shipped
1343|cobalt|east|sensor|66|shipped
1533|juno|north|frame|26|held
1217|acme|south|sensor|35|paid
1286|acme|north|rotor|23|shipped
1301|harbor|south|cable|99|paid
1363|fulton|west|frame|79|held
1393|ember|south|panel|64|pending
1101|ember|east|valve|25|held
1122|ember|east|sensor|45|paid
1627|acme|south|pump|83|shipped
1649|ionic|west|cable|66|pending
1601|ember|north|cable|10|held
1489|cobalt|west|panel|89|shipped
1469|dorian|east|rotor|10|held
1474|fulton|east|sensor|75|paid
1609|harbor|east|sensor|39|pending
1437|gale|west|rotor|95|pending
1580|ember|west|frame|14|held
1569|dorian|east|frame|54|shipped
1367|acme|south|rotor|97|shipped
1205|harbor|east|gasket|23|pending
1316|gale|south|frame|51|held
1277|cobalt|east|gasket|68|held
1304|ember|north|gasket|91|paid
1392|juno|west|valve|91|shipped
1299|dorian|north|rotor|91|shipped
1557|fulton|south|valve|29|paid
1260|cobalt|north|panel|94|held
1516|acme|east|cable|18|held
1154|ionic|west|rotor|26|paid
1582|ionic|south|pump|81|pending
1371|dorian|west|pump|93|paid
1171|ionic|east|frame|92|pending
1345|cobalt|east|frame|43|paid
1596|cobalt|east|valve|32|held
1548|cobalt|east|pump|38|pending
1418|acme|east|gasket|62|held
1400|cobalt|south|cable|49|held
1230|gale|north|gasket|72|pending
1252|cobalt|south|panel|14|paid
1215|harbor|south|pump|95|shipped
1092|ember|east|gasket|73|pending
1447|acme|east|pump|18|shipped
1271|ionic|south|panel|73|pending
1619|ionic|west|pump|33|held
1630|gale|north|pump|99|paid
1588|ionic|north|rotor|91|shipped
1242|ionic|south|sensor|68|held
1534|acme|south|rotor|96|pending
1574|gale|south|rotor|66|paid
1411|ionic|south|pump|23|shipped
1175|birch|east|cable|57|shipped
1114|ember|east|pump|42|pending
1441|acme|north|pump|90|pending
1155|dorian|west|pump|26|paid
1136|ember|east|valve|26|held
1247|ionic|west|valve|51|pending
1424|dorian|west|frame|37|held
1594|dorian|south|panel|21|shipped
1564|cobalt|west|frame|82|paid
1222|juno|north|gasket|90|pending
1527|ionic|south|gasket|76|held
1583|gale|south|pump|23|paid
1236|ember|south|gasket|97|paid
1406|cobalt|east|frame|22|shipped
1463|cobalt|north|gasket|73|paid
1372|birch|east|gasket|55|held
1132|ember|west|pump|39|pending
1311|dorian|south|cable|90|paid
1350|harbor|west|frame|87|paid
1303|acme|south|frame|25|held
1591|acme|south|valve|99|pending
1514|gale|west|rotor|58|pending
1284|ember|east|valve|34|pending
1147|harbor|south|valve|83|pending
1226|cobalt|south|frame|34|shipped
1348|acme|east|frame|69|held
1636|cobalt|east|frame|54|paid
1602|fulton|east|sensor|59|paid
1120|ember|west|valve|65|pending
1436|juno|east|valve|45|shipped
1332|fulton|south|frame|93|pending
1325|gale|north|gasket|98|paid
1185|dorian|east|cable|61|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "restock",
"args": {
"item": "gasket",
"qty": 73
}
},
{
"tool": "restock",
"args": {
"item": "gasket",
"qty": 75
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1114
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1128
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1284
}
}
]correctagentic.tools.deploy-v1conf 100% · 2.3s · $0.016 · 1308 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: search
- auth-svc: search
- gateway: billing, search
- search: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "billing"
}
},
{
"tool": "health_check",
"args": {
"service": "billing"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
}
]correctagentic.tools.ledger-v1conf 100% · 2.4s · $0.028 · 2278 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $428
- bravo: $550
- lima: $551
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $573 from "bravo" to "lima"
2. pay $211 from "bravo" to "tango"
3. pay $271 from "tango" to "bravo"
4. pay $389 from "bravo" to "tango"
5. pay $305 from "tango" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "top_up_from_reserve",
"args": {
"account": "bravo",
"amount": 23
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "lima",
"amount": 573
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "bravo",
"amount": 211
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "tango",
"amount": 211
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 271
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "bravo",
"amount": 118
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "tango",
"amount": 389
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 305
}
}
]correctagentic.tools.triage-v1conf 100% · 2.2s · $0.023 · 1801 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 → novak
- payments → chen
- infra → tanaka
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "card declined at checkout" (category: payments, priority 4)
3. "card declined at checkout" (category: payments, 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": 7
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.deploy-v1conf 100% · 2.7s · $0.021 · 1704 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- search: auth-svc
- notifier: gateway
- auth-svc: notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "health_check",
"args": {
"service": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
}
]correctagentic.tools.context-load-v1anchorconf 100% · 2.6s · $0.077 · 5854 tok
model answer:
[
{
"tool": "restock",
"args": {
"item": "gasket",
"qty": 60
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1368
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1384
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 58
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 75
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1682
}
}
]correctagentic.tools.ledger-v1conf 100% · 2.3s · $0.029 · 2314 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: $868
- delta: $561
- oscar: $378
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $526 from "delta" to "lima"
2. pay $147 from "oscar" to "lima"
3. pay $470 from "oscar" to "delta"
4. pay $557 from "delta" to "lima"
5. pay $129 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 526
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "lima",
"amount": 147
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "oscar",
"amount": 239
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "delta",
"amount": 470
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 52
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 557
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 129
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 129
}
}
]correctagentic.tools.triage-v1conf 100% · 2.2s · $0.023 · 1816 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 → chen
- payments → tanaka
- infra → okafor
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 3)
2. "dashboard shows stale numbers" (category: data, priority 3)
3. "API latency spikes" (category: infra, 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": "dashboard shows stale numbers",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "okafor"
}
}
]correctagentic.tools.deploy-v1anchorconf 100% · 2.7s · $0.019 · 1500 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"
}
}
]correctagentic.tools.ledger-v1anchorconf 100% · 2.6s · $0.030 · 2382 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": 345
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 540
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 125
}
}
]correctagentic.tools.triage-v1anchorconf 100% · 2.6s · $0.027 · 2156 tok
model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-1"
}
}
]code 30/30 correct
correctcode.trace.nested-v1conf 100% · 2.8s · $0.065 · 5397 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
230correctcode.trace.js-v1conf 100% · 2.7s · $0.011 · 892 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9]; 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:
36correctcode.trace.python-v1conf 100% · 2.3s · $0.022 · 1784 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 3
while total + v <= 85:
if v % 3 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
65correctcode.trace.nested-v1conf 100% · 2.7s · $0.057 · 4724 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
156correctcode.trace.js-v1conf 100% · 2.4s · $0.014 · 1141 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]; const out = arr .map(n => n * 3) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
135correctcode.trace.python-v1conf 100% · 3.0s · $0.019 · 1573 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 4
while total + v <= 86:
if v % 7 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.nested-v1conf 100% · 2.5s · $0.034 · 2781 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, 8):
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:
194correctcode.trace.js-v1conf 100% · 2.5s · $0.015 · 1212 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 * 3) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
234correctcode.trace.python-v1conf 100% · 2.4s · $0.031 · 2536 tok
question
What does this Python program print?
```python
total = 0
v = 8
while total + v <= 99:
if v % 7 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.nested-v1conf 100% · 2.4s · $0.031 · 2600 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
276correctcode.trace.js-v1conf 100% · 2.4s · $0.012 · 987 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 3) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210correctcode.trace.python-v1conf 100% · 2.5s · $0.013 · 1104 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 64:
if v % 4 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
62correctcode.trace.nested-v1conf 100% · 2.5s · $0.039 · 3200 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
171correctcode.trace.js-v1conf 100% · 2.9s · $0.015 · 1236 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; 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:
180correctcode.trace.python-v1conf 100% · 2.8s · $0.020 · 1632 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 11
while total + v <= 104:
if v % 3 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
65correctcode.trace.js-v1conf 100% · 2.4s · $0.016 · 1338 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 6) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
702correctcode.trace.nested-v1conf 100% · 2.7s · $0.034 · 2806 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
111correctcode.trace.python-v1conf 100% · 2.4s · $0.018 · 1488 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 1
while total + v <= 70:
if v % 7 != 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:
70correctcode.trace.nested-v1conf 100% · 2.4s · $0.061 · 5048 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 6 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
144correctcode.trace.js-v1conf 100% · 2.9s · $0.019 · 1549 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16]; 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:
360correctcode.trace.nested-v1conf 100% · 3.1s · $0.070 · 5847 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
123correctcode.trace.python-v1conf 100% · 2.2s · $0.025 · 2070 tok
question
What does this Python program print?
```python
total = 0
v = 13
while total + v <= 109:
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:
84correctcode.trace.js-v1conf 100% · 2.3s · $0.013 · 1079 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 7) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
315correctcode.trace.nested-v1conf 100% · 2.5s · $0.073 · 6040 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
302correctcode.trace.python-v1conf 100% · 3.1s · $0.028 · 2327 tok
question
What does this Python program print?
```python
total = 0
v = 15
while total + v <= 110:
if v % 6 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
95correctcode.trace.js-v1conf 100% · 2.4s · $0.011 · 908 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 2) .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:
60correctcode.trace.nested-v1anchorconf 100% · 2.6s · $0.056 · 4605 tok
model answer:
283correctcode.trace.python-v1anchorconf 100% · 2.4s · $0.015 · 1246 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 2.5s · $0.011 · 932 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 2.6s · $0.013 · 1091 tok
model answer:
40instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 2.3s · $0.039 · 3223 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "prism" and the last word must be "zephyr". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism of light shines on the blue waves as tides drift in and drift out beneath a soft salty evening sky and gentle zephyrcorrectif.format.acronym-v1conf 100% · 2.2s · $0.010 · 853 tok
question
Take the second letter of each of these words, in order: cedar, prism, quartz, echo, nova, comet. 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:
ERUCOOcorrectif.constraints.stack-v1conf 100% · 2.4s · $0.045 · 3757 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "drift" and the last word must be "comet". 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:
drift near the broken machine as a gentle zephyr and another zephyr turn its rusted iron wheels like a distant cometcorrectif.format.repeat-v1conf 100% · 2.2s · $0.019 · 1543 tok
question
Write the word "tundra" 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:
TUNDRA-TUNDRA-TUNDRA-TUNDRAcorrectif.format.acronym-v1conf 100% · 2.6s · $0.011 · 915 tok
question
Take the second letter of each of these words, in order: orbit, comet, ember, tundra, lumen, 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:
ROMUUEcorrectif.constraints.stack-v1conf 100% · 2.3s · $0.029 · 2414 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 "falcon" and the last word must be "drift". 3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon glides above the midnight city while nova lights and nova stars watch nova clouds driftcorrectif.format.repeat-v1conf 100% · 2.5s · $0.009 · 702 tok
question
Write the word "delta" 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:
DELTA_DELTA_DELTA_DELTAcorrectif.constraints.stack-v1conf 100% · 2.7s · $0.034 · 2789 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "quartz" and the last word must be "basalt". 3. Use the word "orbit" 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 dust floats far leaving one orbit to enter another orbit finally settling on solid basaltcorrectif.format.acronym-v1conf 100% · 2.2s · $0.010 · 823 tok
question
Take the second letter of each of these words, in order: cedar, quartz, tundra, nova, ember, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EUUOMRcorrectif.format.repeat-v1conf 100% · 2.2s · $0.010 · 824 tok
question
Write the word "cedar" in uppercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDARcorrectif.constraints.stack-v1conf 100% · 2.5s · $0.029 · 2398 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "basalt" and the last word must be "drift". 3. Use the word "flint" 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:
basalt gears grind old flint sparking another flint to ignite the final flint making the ancient iron engine slowly begin its heavy driftcorrectif.format.acronym-v1conf 100% · 2.2s · $0.005 · 438 tok
question
Take the second letter of each of these words, in order: falcon, orbit, echo, cedar, 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:
ARCEEcorrectif.format.repeat-v1conf 100% · 2.9s · $0.009 · 767 tok
question
Write the word "comet" in capitalized form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
COMET-COMET-COMET-COMET-COMETcorrectif.format.acronym-v1conf 100% · 2.4s · $0.014 · 1112 tok
question
Take the second letter of each of these words, in order: echo, falcon, orbit, nova, prism, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CARORMcorrectif.constraints.stack-v1conf 100% · 2.4s · $0.029 · 2427 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "drift" and the last word must be "basalt". 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:
drift across the sea where a bright comet reflects beside a second comet while a third comet crashes into the deep ocean basaltcorrectif.format.repeat-v1conf 100% · 2.3s · $0.008 · 635 tok
question
Write the word "drift" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift_drift_drift_drift_drift_drift_driftcorrectif.constraints.stack-v1conf 100% · 2.7s · $0.029 · 2363 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 "ember" and the last word must be "comet". 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 light guides my long journey across endless space past one dying nova and another nova toward the cometcorrectif.format.acronym-v1conf 100% · 3.1s · $0.003 · 223 tok
question
Take the first letter of each of these words, in order: comet, falcon, basalt, echo, prism, 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:
CFBEPCcorrectif.format.repeat-v1conf 100% · 2.4s · $0.011 · 934 tok
question
Write the word "falcon" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FALCON/FALCON/FALCON/FALCON/FALCON/FALCON/FALCONcorrectif.constraints.stack-v1conf 100% · 2.3s · $0.026 · 2165 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "cedar" and the last word must be "prism". 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:
cedar trails vanished behind us as we chased a fading lumen and another lumen toward the glowing prismcorrectif.format.acronym-v1conf 100% · 2.7s · $0.005 · 393 tok
question
Take the third letter of each of these words, in order: orbit, zephyr, tundra, delta, prism, 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:
BPNLIDcorrectif.format.repeat-v1conf 100% · 2.4s · $0.005 · 434 tok
question
Write the word "lumen" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen_lumen_lumen_lumencorrectif.constraints.stack-v1conf 100% · 2.4s · $0.043 · 3569 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "flint" and the last word must be "orbit". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint sparks illuminate the dark city skyline while sirens echo and footsteps echo in orbitcorrectif.format.acronym-v1conf 100% · 2.8s · $0.008 · 685 tok
question
Take the third letter of each of these words, in order: lumen, delta, echo, basalt, orbit, drift. 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:
MLHSBIcorrectif.format.repeat-v1conf 100% · 2.2s · $0.007 · 554 tok
question
Write the word "tundra" 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:
TUNDRA_TUNDRA_TUNDRA_TUNDRAcorrectif.constraints.stack-v1anchorconf 100% · 2.7s · $0.029 · 2363 tok
model answer:
drift past the dark city where one lumen glows bright and another lumen fades away while a third lumen joins the endless neon orbitcorrectif.format.acronym-v1conf 100% · 2.6s · $0.007 · 596 tok
question
Take the third letter of each of these words, in order: delta, drift, flint, 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:
LIIScorrectif.format.repeat-v1anchorconf 100% · 2.3s · $0.010 · 843 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1anchorconf 100% · 2.3s · $0.007 · 566 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 2.3s · $0.002 · 183 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 3.1s · $0.003 · 237 tok
question
What is 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 · $0.003 · 225 tok
question
Name the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 2.3s · $0.003 · 252 tok
question
Identify the Burmese capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 2.5s · $0.003 · 228 tok
question
Identify the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 2.7s · $0.003 · 197 tok
question
Identify the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 2.7s · $0.002 · 183 tok
question
What is the element whose symbol is W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 2.2s · $0.003 · 254 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 2.3s · $0.002 · 120 tok
question
Name the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 1.9s · $0.003 · 211 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% · 2.1s · $0.003 · 211 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% · 2.4s · $0.003 · 217 tok
question
Identify the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 2.8s · $0.003 · 209 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 2.6s · $0.003 · 217 tok
question
Identify the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 2.7s · $0.003 · 206 tok
question
Name the Canadian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 2.5s · $0.002 · 159 tok
question
What is the element whose symbol is W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 2.4s · $0.002 · 183 tok
question
What is the element whose symbol is W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 2.3s · $0.003 · 225 tok
question
Identify the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 2.5s · $0.003 · 230 tok
question
Name the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 2.2s · $0.003 · 226 tok
question
Identify the writer of the novel "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% · 2.4s · $0.003 · 214 tok
question
Identify the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 2.3s · $0.003 · 213 tok
question
Identify the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 2.3s · $0.003 · 207 tok
question
Identify the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 2.4s · $0.003 · 260 tok
question
Identify the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 2.2s · $0.003 · 255 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% · 2.6s · $0.003 · 217 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% · 2.7s · $0.003 · 216 tok
question
Name 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-v2anchorconf 100% · 2.9s · $0.002 · 153 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 2.3s · $0.002 · 182 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 3.1s · $0.002 · 147 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 2.3s · $0.003 · 229 tok
model answer:
Antimonymath 30/30 correct
correctmath.counterfactual.base-v1conf 100% · 2.6s · $0.018 · 1521 tok
question
Work strictly in base 13. Add the base-13 numbers 9C7 and 356. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1050correctmath.chained.pipeline-v1conf 100% · 2.5s · $0.010 · 808 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 83 × 72. Step 2: Q = P × 3 − 345. 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:
3519correctmath.percent.chain-v2conf 100% · 2.4s · $0.014 · 1105 tok
question
An inventory starts at 73000 units. The company was founded 139 kilometers from the port. In the first month the inventory grows by 12%. The delivery van has a 54-liter fuel tank. The next month it shrinks by 24%, and the month after it grows by 40%. 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:
86992.64correctmath.arith.chain-v2conf 100% · 3.0s · $0.030 · 2512 tok
question
Evaluate the expression below and give the result. (((66 × 58 − 316) × 7 + 2610) − 81 × 52) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
68946correctmath.algebra.system-v2conf 100% · 2.7s · $0.009 · 755 tok
question
Solve the system, then answer the derived question. 9x + 9y = 432 7x − 8y = 66 What is the value of 4x − 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:
30correctmath.chained.pipeline-v1conf 100% · 2.7s · $0.013 · 1086 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 68 × 87. Step 2: Q = P × 9 − 171. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
5897correctmath.counterfactual.base-v1conf 100% · 3.2s · $0.020 · 1658 tok
question
Work strictly in base 11. Add the base-11 numbers 2144 and 1AA8. 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:
4141correctmath.percent.chain-v2conf 100% · 2.4s · $0.017 · 1406 tok
question
An inventory starts at 75000 units. The company was founded 35 kilometers from the port. In the first month the inventory grows by 30%. A rival firm shipped 99 unrelated parcels the same week. The next month it shrinks by 9%, and the month after it grows by 36%. 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:
120666correctmath.algebra.system-v2conf 100% · 2.5s · $0.009 · 736 tok
question
Solve the system, then answer the derived question. 5x + 2y = -256 6x − 2y = -162 What is the value of 6x − 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:
-162correctmath.arith.chain-v2conf 100% · 2.9s · $0.021 · 1711 tok
question
Work out the exact value of this expression. (((51 × 75 − 363) × 4 + 7114) − 21 × 66) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
97880correctmath.chained.pipeline-v1conf 100% · 2.5s · $0.016 · 1273 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 71 × 40. Step 2: Q = P × 8 − 141. 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:
4519correctmath.counterfactual.base-v1conf 100% · 3.1s · $0.012 · 976 tok
question
Work strictly in base 11. Multiply the base-11 numbers 52 and 20. 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:
A40correctmath.percent.chain-v2conf 100% · 2.6s · $0.018 · 1439 tok
question
An inventory starts at 10000 units. Each pallet weighs about 174 grams more when wet. In the first month the inventory grows by 42%. Each pallet weighs about 18 grams more when wet. The next month it shrinks by 8%, and the month after it grows by 19%. 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:
15546.16correctmath.arith.chain-v2conf 100% · 2.4s · $0.020 · 1615 tok
question
Calculate the following. Show your reasoning, then answer. (((67 × 28 − 928) × 3 + 5771) − 68 × 63) × 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:
8662correctmath.algebra.system-v2conf 100% · 2.9s · $0.010 · 812 tok
question
Solve the system, then answer the derived question. 7x + 2y = -167 3x − 3y = -33 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:
-55correctmath.chained.pipeline-v1conf 100% · 3.0s · $0.011 · 901 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 34 × 78. Step 2: Q = P × 3 − 740. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1804correctmath.percent.chain-v2conf 95% · 2.6s · $0.033 · 2720 tok
question
An inventory starts at 7000 units. A rival firm shipped 153 unrelated parcels the same week. In the first month the inventory grows by 24%. The company was founded 80 kilometers from the port. The next month it shrinks by 13%, and the month after it grows by 12%. 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:
8457.792correctmath.counterfactual.base-v1conf 100% · 2.4s · $0.016 · 1291 tok
question
Work strictly in base 11. Multiply the base-11 numbers 7A and 80. 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:
5830correctmath.arith.chain-v2conf 100% · 2.5s · $0.031 · 2599 tok
question
Calculate the following. Show your reasoning, then answer. (((84 × 30 − 949) × 9 + 7245) − 46 × 28) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60288correctmath.algebra.system-v2conf 100% · 3.1s · $0.013 · 1067 tok
question
Solve the system, then answer the derived question. 3x + 5y = 14 9x − 2y = -26 What is the value of 4x − 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:
-28correctmath.chained.pipeline-v1conf 100% · 2.4s · $0.016 · 1346 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 26 × 72. Step 2: Q = P × 8 − 152. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1648correctmath.percent.chain-v2conf 95% · 2.3s · $0.032 · 2624 tok
question
An inventory starts at 19000 units. The warehouse was painted 109 years ago. In the first month the inventory grows by 9%. The delivery van has a 134-liter fuel tank. The next month it shrinks by 15%, and the month after it grows by 21%. 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:
21300.235correctmath.counterfactual.base-v1conf 100% · 2.9s · $0.012 · 997 tok
question
Work strictly in base 7. Add the base-7 numbers 5303 and 3542. 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:
12145correctmath.arith.chain-v2conf 100% · 2.8s · $0.019 · 1527 tok
question
Work out the exact value of this expression. (((62 × 77 − 891) × 5 + 3951) − 53 × 42) × 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:
147980correctmath.algebra.system-v2conf 100% · 2.4s · $0.007 · 554 tok
question
Solve the system, then answer the derived question. 3x + 2y = -108 6x − 5y = -270 What is the value of 6x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-270correctmath.chained.pipeline-v1conf 100% · 2.3s · $0.010 · 831 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 62 × 46. Step 2: Q = P × 5 − 471. Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1728correctmath.percent.chain-v2anchorconf 100% · 2.6s · $0.027 · 2188 tok
model answer:
61896.522correctmath.counterfactual.base-v1anchorconf 100% · 2.9s · $0.016 · 1328 tok
model answer:
11236correctmath.arith.chain-v2anchorconf 100% · 2.7s · $0.016 · 1305 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 2.7s · $0.011 · 900 tok
model answer:
87multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 2.7s · $0.006 · 472 tok
question
A number is written in French: « trois cent soixante-dix-neuf ». Another is written in Spanish: « quinientos setenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
957correctmultilingual.numword-v2conf 100% · 2.5s · $0.004 · 355 tok
question
Compute 310 + 394, 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 cuatrocorrectmultilingual.wordnum-v1conf 100% · 1.9s · $0.005 · 409 tok
question
A number is written in French: « sept cent quinze ». Another is written in Spanish: « ochocientos veinticinco ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-110correctmultilingual.numword-v2conf 100% · 3.1s · $0.005 · 444 tok
question
Compute 330 + 295, 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 veinticincocorrectmultilingual.numword-v2conf 100% · 2.9s · $0.017 · 1363 tok
question
Compute 449 + 448, 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 cent quatre-vingt-dix-septcorrectmultilingual.wordnum-v1conf 100% · 2.7s · $0.007 · 576 tok
question
A number is written in French: « cinq cent quatre-vingt-quatorze ». Another is written in Spanish: « ochocientos cuarenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1440correctmultilingual.wordnum-v1conf 100% · 2.3s · $0.007 · 593 tok
question
A number is written in French: « trois cent dix-sept ». Another is written in Spanish: « ochocientos veinticuatro ». 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:
-507correctmultilingual.numword-v2conf 100% · 2.3s · $0.005 · 430 tok
question
Compute 262 + 120, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos ochenta y doscorrectmultilingual.wordnum-v1conf 100% · 2.0s · $0.005 · 400 tok
question
A number is written in French: « six cent soixante-cinq ». Another is written in Spanish: « doscientos treinta y ocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
427correctmultilingual.numword-v2conf 100% · 2.4s · $0.007 · 558 tok
question
Compute 228 + 118, 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 cuarenta y seiscorrectmultilingual.wordnum-v1conf 100% · 2.4s · $0.005 · 360 tok
question
A number is written in French: « quatre cent dix ». Another is written in Spanish: « ochocientos cuarenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1251correctmultilingual.numword-v2conf 100% · 3.2s · $0.004 · 333 tok
question
Compute 497 + 428, 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:
novecientos veinticincocorrectmultilingual.wordnum-v1conf 100% · 2.6s · $0.005 · 374 tok
question
A number is written in French: « trois cent quatre-vingt-six ». Another is written in Spanish: « novecientos sesenta ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1346correctmultilingual.numword-v2conf 100% · 2.4s · $0.007 · 591 tok
question
Compute 332 + 206, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent trente-huitcorrectmultilingual.wordnum-v1conf 100% · 2.5s · $0.007 · 547 tok
question
A number is written in French: « quatre cent quatre-vingt-quatorze ». Another is written in Spanish: « ochocientos 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:
-313correctmultilingual.numword-v2conf 100% · 2.8s · $0.003 · 268 tok
question
Compute 174 + 56, 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 trentecorrectmultilingual.wordnum-v1conf 100% · 2.6s · $0.005 · 391 tok
question
A number is written in French: « huit cent vingt-six ». Another is written in Spanish: « setecientos sesenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1595correctmultilingual.numword-v2conf 100% · 2.5s · $0.004 · 299 tok
question
Compute 253 + 83, 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 treinta y seiscorrectmultilingual.numword-v2conf 100% · 2.4s · $0.009 · 705 tok
question
Compute 361 + 455, 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 cent seizecorrectmultilingual.wordnum-v1conf 100% · 2.8s · $0.005 · 415 tok
question
A number is written in French: « quatre cent quatre-vingt-un ». Another is written in Spanish: « sesenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
547correctmultilingual.wordnum-v1conf 100% · 2.6s · $0.005 · 379 tok
question
A number is written in French: « six cent vingt-cinq ». Another is written in Spanish: « doscientos cuarenta y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
384correctmultilingual.numword-v2conf 100% · 2.5s · $0.007 · 598 tok
question
Compute 118 + 412, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent trentecorrectmultilingual.wordnum-v1conf 100% · 2.3s · $0.006 · 444 tok
question
A number is written in French: « deux cent trente ». Another is written in Spanish: « doscientos trece ». 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:
443correctmultilingual.numword-v2conf 100% · 3.0s · $0.005 · 424 tok
question
Compute 426 + 374, 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:
ochocientoscorrectmultilingual.numword-v2conf 100% · 2.6s · $0.012 · 992 tok
question
Compute 66 + 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:
trois cent quatre-vingt-dix-neufcorrectmultilingual.wordnum-v1conf 100% · 2.4s · $0.005 · 405 tok
question
A number is written in French: « huit cent quatre-vingt-dix-neuf ». Another is written in Spanish: « quinientos 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:
1496correctmultilingual.numword-v2anchorconf 100% · 2.8s · $0.012 · 951 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 2.3s · $0.005 · 420 tok
model answer:
150correctmultilingual.wordnum-v1anchorconf 100% · 2.2s · $0.009 · 704 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 2.9s · $0.006 · 486 tok
model answer:
seiscientos ochoreasoning 28/30 correct
correctreasoning.deduction.order-v2conf 100% · 2.2s · $0.010 · 836 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Priya. Ines is taller than Liam. Rosa is taller than Bruno. Ines is taller than Priya. Liam is taller than Chen. Priya is taller than Chen. Bruno is taller than Ines. Goran is heavier than everyone here, but Goran is not being ranked. Liam is taller than Dara. Liam is taller than Priya. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.position-v1conf 100% · 2.2s · $0.003 · 243 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Ines. Ines is directly ahead of Farah. Farah is directly ahead of Nadir. Nadir is number 4 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.order-v2conf 100% · 2.3s · $0.014 · 1144 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is heavier than everyone here, but Jonas is not being ranked. Quinn is older than Kira. Dara is older than Emil. Kira is older than Dara. Hana is older than Goran. Quinn is older than Emil. Emil is older than Ola. Quinn is older than Emil. Goran is older than Quinn. Kira is older than Emil. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 2.6s · $0.003 · 236 tok
question
Four people stand in a queue (number 1 is the front). Kira is number 2 in the queue. Emil is directly ahead of Kira. Bruno is directly ahead of Ines. 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:
Kiracorrectreasoning.deduction.order-v2conf 100% · 2.6s · $0.017 · 1409 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Quinn. Chen is heavier than everyone here, but Chen is not being ranked. Alice is faster than Sami. Quinn is faster than Alice. Alice is faster than Sami. Goran is faster than Sami. Alice is faster than Ines. Quinn is faster than Rosa. Ines is faster than Goran. Rosa is faster than Alice. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 2.2s · $0.004 · 349 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Quinn. Bruno is number 2 in the queue. Emil is directly ahead of Bruno. 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:
Emilcorrectreasoning.deduction.order-v2conf 100% · 2.4s · $0.018 · 1474 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Quinn. Dara is taller than Quinn. Nadir is taller than Quinn. Priya is taller than Dara. Nadir is taller than Tessa. Emil is taller than Priya. Dara is taller than Nadir. Alice is faster than everyone here, but Alice is not being ranked. Quinn is taller than Tessa. Tessa is taller than Sami. 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:
Tessacorrectreasoning.deduction.position-v1conf 100% · 3.0s · $0.004 · 341 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Quinn. Quinn is number 2 in the queue. Farah is directly ahead of Mona. 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 2.3s · $0.004 · 301 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 2 in the queue. Dara is directly ahead of Alice. Sami is directly ahead of Nadir. 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:
Darawrongreasoning.deduction.position-v1conf 95% · 2.1s · $0.071 · 5868 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Emil. Alice is number 3 in the queue. Emil is directly ahead of Alice. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Unknowncorrectreasoning.deduction.order-v2conf 100% · 2.8s · $0.015 · 1201 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Quinn. Ola is heavier than Nadir. Dara is heavier than Liam. Quinn is heavier than Mona. Liam is heavier than Ola. Jonas is taller than everyone here, but Jonas is not being ranked. Quinn is heavier than Nadir. Mona is heavier than Nadir. Quinn is heavier than Nadir. Hana is heavier than Dara. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 2.6s · $0.003 · 245 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Sami. Bruno is number 4 in the queue. Sami is directly ahead of Bruno. Farah is directly ahead of Mona. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.order-v2conf 100% · 2.7s · $0.016 · 1303 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Chen. Goran is heavier than Dara. Ola is heavier than Goran. Dara is heavier than Chen. Ines is heavier than Emil. Goran is heavier than Quinn. Chen is heavier than Quinn. Goran is heavier than Quinn. Jonas is faster than everyone here, but Jonas is not being ranked. Emil is heavier than Ola. 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% · 2.4s · $0.005 · 394 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Ines. Chen is directly ahead of Priya. Ines 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 2.2s · $0.017 · 1371 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Hana. Emil is heavier than Liam. Emil is heavier than Quinn. Hana is heavier than Alice. Mona is heavier than Alice. Sami is heavier than Emil. Rosa is older than everyone here, but Rosa is not being ranked. Hana is heavier than Mona. Quinn is heavier than Liam. Hana is heavier than Alice. 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 2.4s · $0.016 · 1343 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Sami. Sami is faster than Ines. Chen is faster than Tessa. Sami is faster than Bruno. Ines is faster than Rosa. Mona is faster than Chen. Rosa is faster than Tessa. Priya is older than everyone here, but Priya is not being ranked. Bruno is faster than Ines. Bruno is faster than Tessa. 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:
Brunocorrectreasoning.deduction.position-v1conf 100% · 2.6s · $0.004 · 315 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Quinn. Goran is directly ahead of Rosa. Quinn 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.position-v1conf 95% · 2.2s · $0.023 · 1909 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Sami. Sami is directly ahead of Jonas. Jonas is number 3 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Unknowncorrectreasoning.deduction.order-v2conf 100% · 2.6s · $0.023 · 1849 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Goran is faster than Liam. Farah is faster than Priya. Nadir is faster than Ines. Priya is faster than Bruno. Nadir is faster than Liam. Tessa is older than everyone here, but Tessa is not being ranked. Bruno is faster than Goran. Farah is faster than Nadir. Goran is faster than Nadir. Ines is faster than Liam. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.order-v2conf 100% · 2.3s · $0.010 · 837 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Ola. Ola is taller than Hana. Quinn is taller than Tessa. Rosa is taller than Sami. Hana is taller than Quinn. Kira is taller than Hana. Hana is taller than Sami. Tessa is taller than Rosa. Tessa is taller than Sami. Alice is heavier than everyone here, but Alice 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:
Olacorrectreasoning.deduction.order-v2conf 100% · 2.6s · $0.016 · 1308 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Goran. Liam is heavier than Farah. Goran is heavier than Tessa. Farah is heavier than Jonas. Ines is heavier than Tessa. Jonas is heavier than Goran. Bruno is heavier than Tessa. Jonas is heavier than Ines. Goran is heavier than Bruno. Nadir is taller than everyone here, but Nadir is not being ranked. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1conf 100% · 3.1s · $0.004 · 314 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Alice. Ola is number 2 in the queue. Hana is directly ahead of Ola. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 100% · 2.2s · $0.018 · 1478 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Tessa. Quinn is faster than Bruno. Hana is older than everyone here, but Hana is not being ranked. Tessa is faster than Kira. Kira is faster than Chen. Quinn is faster than Ola. Sami is faster than Chen. Bruno is faster than Kira. Sami is faster than Bruno. Ola is faster than Sami. 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:
Kiracorrectreasoning.deduction.position-v1conf 100% · 2.5s · $0.003 · 256 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Tessa. Priya is directly ahead of Ola. Tessa is number 3 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 100% · 2.6s · $0.018 · 1475 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Ines. Ola is faster than Mona. Sami is faster than Ola. Rosa is faster than Ola. Ines is faster than Sami. Nadir is faster than Ola. Sami is faster than Nadir. Dara is taller than everyone here, but Dara is not being ranked. Rosa is faster than Kira. Rosa is faster than Mona. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 100% · 2.9s · $0.003 · 231 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Kira. Kira is directly ahead of Dara. Dara is number 3 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1anchorconf 100% · 6.1s · $0.004 · 327 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 2.4s · $0.014 · 1156 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 2.6s · $0.018 · 1464 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 2.9s · $0.004 · 311 tok
model answer:
Farahterminal 30/30 correct
correctterminal.fs.tree-v1conf 100% · 2.5s · $0.023 · 1858 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/logs`): ``` /proj/conf/index.cfg /proj/conf/util.txt /proj/logs/draft.cfg /proj/main.md /proj/notes.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 src/index-2.md mkdir -p logs/logs-6 touch setup-9.log rm logs/draft.cfg mv src/index-2.md src/setup-8.cfg mv main.md main-5.md cp conf/index.cfg logs/logs-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/conf/index.cfg
/proj/conf/util.txt
/proj/logs/logs-6/index.cfg
/proj/main-5.md
/proj/notes.cfg
/proj/setup-9.log
/proj/src/setup-8.cfgcorrectterminal.exit.chain-v1conf 100% · 2.5s · $0.010 · 821 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B false && echo C || echo D test -f tmp.txt && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
H
exit:1correctterminal.pipeline.predict-v1conf 100% · 2.5s · $0.012 · 919 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,eng,60,77 cy,sales,47,66 ana,legal,24,64 dev,eng,83,38 ivy,ops,120,15 gus,hr,98,66 ned,sales,3,40 hal,eng,46,57 lou,hr,54,42 ``` 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,54,42
gus,hr,98,66correctterminal.fs.tree-v1conf 100% · 2.6s · $0.028 · 2309 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/build`): ``` /proj/build/draft.log /proj/build/main.md /proj/build/util.log /proj/notes.log /proj/setup.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p src/src-7 cd src touch src-7/index-7.md mv ../../proj/build/draft.log ../../proj/build/draft-3.log touch ../../proj/assets/report-3.cfg cd src-7 mv ../../../proj/setup.cfg ../../../proj/src/ cd . mkdir -p docs-8 cp index-7.md ../../../proj/assets/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/index-7.md
/proj/assets/report-3.cfg
/proj/build/draft-3.log
/proj/build/main.md
/proj/build/util.log
/proj/notes.log
/proj/src/setup.cfg
/proj/src/src-7/index-7.mdcorrectterminal.exit.chain-v1conf 100% · 2.8s · $0.012 · 989 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 coral notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 3.2s · $0.013 · 1062 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` jon,sales,115,86 hal,eng,40,87 ned,ops,23,46 lou,sales,75,42 ana,eng,108,29 oli,sales,3,53 max,ops,61,43 dev,hr,105,50 gus,ops,79,95 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
dev,105correctterminal.fs.tree-v1conf 100% · 2.8s · $0.026 · 2120 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`): ``` /proj/build/main.log /proj/index.md /proj/report.cfg /proj/src/setup.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 cp index.md src/ mv report.cfg setup-9.cfg cp index.md assets/ touch src/main-1.log touch assets/draft-1.cfg rm assets/draft-1.cfg cd assets ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/index.md
/proj/build/main.log
/proj/index.md
/proj/setup-9.cfg
/proj/src/index.md
/proj/src/main-1.log
/proj/src/setup.cfg
/proj/src/todo.logcorrectterminal.exit.chain-v1conf 100% · 2.4s · $0.008 · 639 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 false && echo A || echo B test -f ghost.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
Z
exit:0correctterminal.fs.tree-v1conf 100% · 2.8s · $0.058 · 4762 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/build`, `/proj/docs`): ``` /proj/build/index.md /proj/conf/report.md /proj/docs/todo.txt /proj/draft.cfg /proj/notes.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 touch build/setup-1.md mv build/setup-1.md build/ cd conf cp ../../proj/notes.log ./ rm ../../proj/notes.log cp ../../proj/build/setup-1.md ../../proj/docs/ rm ../../proj/build/index.md mv ../../proj/docs/setup-1.md ../../proj/build/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/setup-1.md
/proj/conf/notes.log
/proj/conf/report.md
/proj/docs/todo.txt
/proj/draft.cfgcorrectterminal.pipeline.predict-v1conf 100% · 2.7s · $0.017 · 1375 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` eli,eng,88,14 dev,hr,36,40 pam,sales,58,87 lou,sales,62,56 fay,hr,50,24 max,hr,102,46 cy,hr,39,53 oli,ops,35,28 kim,eng,105,63 hal,sales,100,45 ivy,eng,86,29 jon,hr,20,10 ana,sales,25,37 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
pam,sales,58,87
lou,sales,62,56
hal,sales,100,45correctterminal.exit.chain-v1conf 100% · 2.7s · $0.011 · 855 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B true && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 2.4s · $0.016 · 1308 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
dev,sales,114,95
hal,legal,110,93
ned,hr,26,30
ana,sales,89,30
oli,ops,35,13
max,sales,85,42
fay,legal,19,68
cy,hr,20,48
pam,sales,44,72
gus,legal,70,72
kim,sales,40,29
jon,sales,56,99
ivy,hr,118,41
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' 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:
428correctterminal.exit.chain-v1conf 100% · 2.6s · $0.011 · 901 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B test -f ghost.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
Z
exit:0correctterminal.fs.tree-v1conf 100% · 2.7s · $0.017 · 1390 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/logs`): ``` /proj/draft.txt /proj/logs/index.cfg /proj/logs/notes.txt /proj/logs/setup.md /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 touch draft-4.txt cp util.md logs/ mkdir -p conf/build-7 cp logs/notes.txt conf/build-7/ cp util.md conf/ cd . rm draft-4.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/build-7/notes.txt
/proj/conf/util.md
/proj/draft.txt
/proj/logs/index.cfg
/proj/logs/notes.txt
/proj/logs/setup.md
/proj/logs/util.md
/proj/util.mdcorrectterminal.pipeline.predict-v1conf 100% · 3.0s · $0.012 · 980 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` hal,legal,7,67 ana,sales,66,21 gus,ops,103,98 fay,hr,12,16 max,ops,102,71 kim,hr,100,28 dev,hr,90,56 lou,sales,111,99 jon,legal,49,70 eli,ops,41,26 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,sales,66,21
lou,sales,111,99correctterminal.exit.chain-v1conf 100% · 2.1s · $0.012 · 947 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 grep -q dune notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
exit:1correctterminal.fs.tree-v1conf 100% · 2.5s · $0.023 · 1840 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/index.log /proj/build/main.txt /proj/draft.txt /proj/report.txt /proj/src/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p build-2 mv build/main.txt build/util-4.txt mv src/util.txt src/todo-8.txt cp draft.txt docs/ rm build/util-4.txt rm draft.txt cd src ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/index.log
/proj/docs/draft.txt
/proj/report.txt
/proj/src/todo-8.txtcorrectterminal.pipeline.predict-v1conf 100% · 2.4s · $0.020 · 1624 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,ops,96,85 ana,hr,24,78 cy,eng,54,33 oli,eng,63,60 kim,hr,81,42 hal,eng,14,51 fay,sales,71,82 jon,eng,21,84 pam,eng,12,45 ivy,eng,64,30 bo,hr,111,12 lou,hr,18,45 eli,hr,31,67 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cy,eng,54,33
oli,eng,63,60
ivy,eng,64,30correctterminal.exit.chain-v1conf 100% · 2.9s · $0.011 · 863 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D false && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
exit:1correctterminal.fs.tree-v1conf 100% · 2.4s · $0.024 · 1989 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/assets`): ``` /proj/assets/util.txt /proj/conf/main.txt /proj/conf/report.log /proj/notes.cfg /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv assets/util.txt docs/ cd . mv conf/main.txt docs/ rm notes.cfg cd docs mv util.txt ../../proj/assets/ mv ../../proj/assets/util.txt ../../proj/assets/todo-1.txt mkdir -p docs-3 mkdir -p ../../proj/assets/logs-4 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/todo-1.txt
/proj/conf/report.log
/proj/docs/main.txt
/proj/todo.txtcorrectterminal.fs.tree-v1conf 100% · 2.2s · $0.060 · 4957 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/assets`): ``` /proj/assets/draft.cfg /proj/assets/main.cfg /proj/conf/util.md /proj/index.cfg /proj/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 cp assets/main.cfg ./ cd conf touch ../../proj/assets/index-5.log cd ../../proj/assets rm ../../proj/index.cfg cp ../../proj/conf/util.md ../../proj/logs/ touch ../../proj/index-5.cfg mkdir -p ../../proj/docs-1 mv ../../proj/conf/util.md ../../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.cfg
/proj/assets/index-5.log
/proj/assets/main.cfg
/proj/index-5.cfg
/proj/logs/util.md
/proj/main.cfg
/proj/todo.md
/proj/util.mdcorrectterminal.pipeline.predict-v1conf 100% · 2.2s · $0.010 · 772 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,legal,43,77
kim,sales,84,55
bo,eng,20,23
hal,legal,34,10
ana,sales,72,68
lou,hr,83,91
dev,hr,108,44
oli,ops,11,59
eli,eng,6,86
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 78 { 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:
1correctterminal.exit.chain-v1conf 100% · 2.3s · $0.008 · 629 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f ghost.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 2.4s · $0.013 · 1078 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,hr,70,86 gus,ops,81,56 lou,legal,65,14 cy,legal,17,73 dev,eng,59,29 eli,eng,108,41 ned,sales,31,27 oli,sales,111,74 ana,sales,57,41 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
dev,59
eli,108correctterminal.fs.tree-v1conf 100% · 2.4s · $0.034 · 2746 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/docs`): ``` /proj/docs/todo.log /proj/logs/index.md /proj/logs/report.log /proj/notes.md /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch logs/draft-6.txt cp docs/todo.log assets/ cd assets mkdir -p src-9 cd ../../proj rm logs/draft-6.txt rm logs/index.md touch docs/main-3.md cd assets/src-9 touch ../../../proj/assets/util-2.cfg touch ../../../proj/logs/todo-4.cfg cd ../../../proj/assets ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/todo.log
/proj/assets/util-2.cfg
/proj/docs/main-3.md
/proj/docs/todo.log
/proj/logs/report.log
/proj/logs/todo-4.cfg
/proj/notes.md
/proj/util.txtcorrectterminal.exit.chain-v1conf 100% · 2.6s · $0.009 · 667 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 amber notes.txt && echo A || echo B test -f tmp.txt && echo C || echo D test -f tmp.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
Z
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 2.6s · $0.013 · 1079 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.fs.tree-v1anchorconf 100% · 2.3s · $0.034 · 2782 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.exit.chain-v1anchorconf 100% · 2.5s · $0.013 · 1067 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 3.0s · $0.016 · 1284 tok
model answer:
1vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 100% · 3.2s · $0.010 · 660 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:
65correctvision.ocr.code-hunt-v1conf 100% · 3.5s · $0.007 · 369 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:
WNAXT3correctvision.ocr.table-read-v1conf 100% · 3.2s · $0.008 · 476 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:
103correctvision.ocr.code-hunt-v1conf 100% · 3.4s · $0.007 · 362 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:
XFRVYRcorrectvision.ocr.table-read-v1conf 100% · 3.5s · $0.007 · 366 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:
70correctvision.ocr.code-hunt-v1conf 100% · 3.4s · $0.007 · 382 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:
4DWF7Jcorrectvision.ocr.table-read-v1conf 100% · 3.9s · $0.008 · 453 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:
65correctvision.ocr.code-hunt-v1conf 100% · 4.4s · $0.007 · 354 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:
HFNMPDcorrectvision.ocr.table-read-v1conf 100% · 3.1s · $0.007 · 419 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:
124correctvision.ocr.code-hunt-v1conf 100% · 3.0s · $0.007 · 381 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:
KHYUTN3correctvision.ocr.table-read-v1conf 100% · 3.5s · $0.009 · 525 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:
91correctvision.ocr.table-read-v1conf 100% · 3.2s · $0.010 · 673 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:
243correctvision.ocr.code-hunt-v1conf 100% · 3.0s · $0.006 · 294 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:
ACR4DDPTcorrectvision.ocr.code-hunt-v1conf 100% · 3.4s · $0.007 · 356 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:
DJ74NMFDcorrectvision.ocr.table-read-v1conf 100% · 3.3s · $0.010 · 600 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:
80correctvision.ocr.code-hunt-v1conf 100% · 3.7s · $0.007 · 407 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:
K4HPCVMcorrectvision.ocr.table-read-v1conf 100% · 3.6s · $0.008 · 484 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:
109correctvision.ocr.code-hunt-v1conf 100% · 4.0s · $0.006 · 331 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:
PREE3WDcorrectvision.ocr.table-read-v1conf 100% · 3.7s · $0.008 · 456 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:
39correctvision.ocr.code-hunt-v1conf 100% · 3.2s · $0.007 · 383 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:
3AP4CW9correctvision.ocr.table-read-v1conf 100% · 2.9s · $0.009 · 558 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:
54correctvision.ocr.code-hunt-v1conf 100% · 3.1s · $0.007 · 418 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:
NVMVKK9correctvision.ocr.table-read-v1conf 100% · 3.5s · $0.007 · 372 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:
86correctvision.ocr.code-hunt-v1conf 100% · 3.3s · $0.006 · 314 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:
FRXFJJ7correctvision.ocr.code-hunt-v1conf 100% · 3.2s · $0.012 · 786 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:
HPRMHMcorrectvision.ocr.table-read-v1conf 100% · 3.9s · $0.007 · 386 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:
67correctvision.ocr.table-read-v1anchorconf 100% · 3.8s · $0.008 · 478 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 3.6s · $0.007 · 375 tok
model answer:
VX7993Dcorrectvision.ocr.code-hunt-v1anchorconf 100% · 5.7s · $0.007 · 367 tok
model answer:
YH9E4AWPcorrectvision.ocr.table-read-v1anchorconf 100% · 3.4s · $0.008 · 486 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit824
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- 2026-08-05v0.2.0index_fit818
- 2026-08-05v0.2.0index_fit816
- 2026-08-05v0.2.0index_fit817
- 2026-08-05v0.2.0index_fit818
- 2026-08-05v0.2.0index_fit820
- 2026-08-05v0.2.0index_fit820
- 2026-08-05v0.2.0index_fit820
- 2026-08-05v0.2.0index_fit820
- 2026-08-05v0.2.0index_fit819
- 2026-08-05v0.2.0index_fit820
- 2026-08-05v0.2.0index_fit820
- 2026-08-05v0.2.0index_fit820
- 2026-08-05v0.2.0index_fit807