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OpenAI: GPT-5.6 Sol Pro
openai/gpt-5.6-sol-pro · openai · context 1 050 000 · in $5.00/1M · out $30.00/1M
Global Index
812
95% CI [766–859] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 797 [695–898] | 0.776 | 0.97 | 0.93 | 0.077 | 409ms | $60.87 | |
| code | 875 [754–996] | 0.792 | 1.00 | 1.00 | 0.000 | 401ms | $31.32 | |
| instruction following | 841 [711–971] | 0.780 | 0.82 | 1.00 | 0.000 | 419ms | $24.07 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 398ms | $10.78 | |
| math | 829 [672–986] | 0.723 | 0.97 | 1.00 | 0.000 | 433ms | $24.98 | |
| multilingual | 819 [654–983] | 0.698 | 1.00 | 1.00 | 0.000 | 418ms | $14.23 | |
| reasoning | 857 [715–999] | 0.762 | 1.00 | 1.00 | 0.000 | 442ms | $17.47 | |
| terminal | 910 [822–997] | 0.849 | 1.00 | 1.00 | 0.000 | 420ms | $26.59 | |
| vision ocr | 657 [500–814] | 0.534 | 1.00 | 0.94 | 0.077 | 459ms | $23.98 |
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 28/30 correct
correctagentic.tools.ledger-v1conf 100% · 455ms · $0.049 · 938 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: $211
- echo: $531
- oscar: $445
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $554 from "echo" to "oscar"
2. pay $367 from "echo" to "tango"
3. pay $337 from "tango" to "oscar"
4. pay $460 from "echo" to "oscar"
5. pay $392 from "echo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":23}},
{"tool":"transfer","args":{"from":"echo","to":"oscar","amount":554}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":367}},
{"tool":"transfer","args":{"from":"echo","to":"tango","amount":367}},
{"tool":"transfer","args":{"from":"tango","to":"oscar","amount":337}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":460}},
{"tool":"transfer","args":{"from":"echo","to":"oscar","amount":460}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":392}},
{"tool":"transfer","args":{"from":"echo","to":"oscar","amount":392}}
]correctagentic.tools.context-load-v1conf 100% · 407ms · $0.165 · 1961 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 (278 records, format: id|customer|region|item|qty|status):
```
1672|harbor|south|valve|79|paid
1527|juno|east|gasket|86|paid
2197|fulton|west|frame|27|held
2091|cobalt|north|sensor|16|held
1554|ember|west|gasket|47|paid
2096|gale|south|valve|45|paid
1396|birch|east|cable|66|pending
2088|fulton|east|cable|74|paid
2129|cobalt|east|pump|47|held
1918|fulton|south|pump|33|shipped
2247|ionic|east|cable|29|paid
2325|gale|west|sensor|85|pending
1344|ionic|east|rotor|95|pending
1727|harbor|west|sensor|25|shipped
1501|harbor|west|frame|63|shipped
2216|birch|south|rotor|14|pending
1962|fulton|east|gasket|14|paid
1360|juno|north|sensor|85|held
1701|ionic|north|panel|29|shipped
1519|juno|east|gasket|52|paid
1278|ionic|east|sensor|46|held
2355|fulton|east|cable|25|paid
1487|harbor|south|gasket|29|held
2164|fulton|north|valve|87|shipped
1878|gale|south|sensor|44|paid
1416|dorian|south|panel|85|held
2182|gale|east|cable|34|shipped
1294|ionic|east|cable|79|paid
1460|fulton|east|frame|92|shipped
2238|ionic|north|valve|33|pending
2013|juno|south|rotor|15|held
1912|cobalt|east|gasket|33|shipped
1842|juno|south|gasket|62|pending
1353|harbor|south|rotor|76|held
2290|ember|north|valve|85|pending
2061|acme|south|gasket|92|held
2254|ionic|south|panel|30|paid
1559|cobalt|south|sensor|22|shipped
1507|dorian|south|valve|53|paid
1582|ember|north|panel|34|pending
1773|harbor|east|rotor|36|pending
2057|cobalt|south|frame|27|paid
2341|fulton|south|rotor|34|held
2082|ionic|west|frame|89|held
1661|ionic|north|valve|97|paid
1953|birch|west|valve|77|paid
1640|dorian|east|cable|63|paid
2224|fulton|east|gasket|17|pending
2260|dorian|north|valve|62|pending
1536|ember|north|pump|61|pending
1906|acme|north|gasket|78|held
1893|acme|north|sensor|94|held
2020|acme|east|rotor|89|shipped
1730|ember|north|frame|44|held
1783|cobalt|west|gasket|11|shipped
1464|gale|north|rotor|20|shipped
1361|fulton|south|panel|37|shipped
2360|ember|south|sensor|53|held
1402|fulton|east|valve|45|pending
1447|cobalt|south|frame|55|paid
2107|juno|south|pump|66|shipped
1884|birch|south|frame|13|shipped
1792|birch|east|sensor|44|held
1890|dorian|north|frame|57|paid
2045|harbor|west|panel|69|paid
1653|ember|east|pump|92|shipped
2284|acme|north|panel|78|held
2218|harbor|east|gasket|95|pending
2060|ionic|west|rotor|53|held
1908|juno|south|gasket|19|pending
1754|ember|south|valve|43|held
1624|cobalt|east|cable|13|shipped
1386|gale|north|pump|62|paid
1484|cobalt|west|pump|68|held
1760|harbor|east|pump|50|paid
1548|dorian|south|sensor|58|pending
2143|harbor|south|rotor|86|held
2078|ionic|west|sensor|69|pending
1594|ionic|north|panel|53|paid
1688|ionic|east|rotor|96|paid
1533|dorian|east|valve|15|held
1329|juno|east|sensor|96|shipped
1900|dorian|west|valve|13|pending
1835|birch|south|frame|53|pending
2383|gale|north|pump|36|shipped
1421|harbor|south|rotor|15|shipped
1798|birch|west|valve|99|pending
1631|ionic|east|pump|21|held
1433|dorian|south|valve|38|pending
2287|fulton|east|sensor|73|pending
2253|fulton|west|panel|55|held
1275|ionic|south|sensor|96|pending
1351|juno|west|pump|25|shipped
1313|ionic|east|cable|66|pending
1358|juno|east|rotor|62|shipped
1490|ember|north|rotor|21|paid
1907|ember|east|pump|59|shipped
2183|gale|east|cable|10|shipped
1676|birch|south|gasket|65|pending
1586|dorian|east|cable|18|paid
1574|ember|east|sensor|98|pending
1974|acme|south|pump|17|paid
2119|fulton|south|rotor|73|shipped
1470|ionic|east|valve|63|paid
2201|ionic|south|rotor|79|pending
2190|juno|east|cable|34|shipped
2021|harbor|north|cable|18|paid
1711|cobalt|west|rotor|90|held
1929|dorian|west|gasket|41|held
2373|birch|north|pump|26|held
1599|harbor|north|pump|51|pending
1282|ionic|east|pump|44|pending
1693|ionic|west|pump|20|held
1454|harbor|south|frame|92|paid
2369|cobalt|east|pump|26|pending
2303|fulton|east|valve|68|shipped
1973|cobalt|east|rotor|87|pending
2139|cobalt|west|sensor|81|shipped
1699|cobalt|west|cable|65|paid
1615|acme|north|valve|72|paid
1696|fulton|south|cable|81|shipped
1497|harbor|north|sensor|93|paid
1765|ember|north|cable|61|paid
1828|ember|west|panel|84|held
2037|ionic|south|frame|50|paid
1831|gale|north|sensor|12|held
2003|acme|west|panel|43|shipped
2206|cobalt|south|panel|26|held
2169|fulton|north|panel|82|paid
1748|ionic|north|pump|92|shipped
1987|cobalt|west|frame|55|pending
1993|ionic|south|pump|28|held
1916|harbor|south|pump|95|shipped
2136|harbor|east|frame|41|held
2367|cobalt|south|frame|15|held
2331|harbor|east|panel|49|pending
1612|dorian|north|panel|37|shipped
2025|gale|north|frame|43|pending
1716|acme|north|pump|80|paid
1821|harbor|north|gasket|33|paid
1635|birch|west|pump|68|held
1683|cobalt|east|frame|86|paid
1461|harbor|north|pump|24|held
1947|acme|north|cable|25|shipped
1978|ionic|west|valve|72|shipped
1596|acme|south|sensor|84|pending
1870|fulton|north|panel|33|pending
1350|gale|west|cable|40|paid
1999|ember|north|gasket|80|held
2304|ionic|east|valve|86|shipped
2193|juno|south|valve|24|paid
2344|juno|east|frame|64|pending
1733|ionic|east|rotor|33|paid
1503|ember|south|panel|99|held
2074|harbor|east|gasket|93|shipped
2004|dorian|east|sensor|30|paid
1566|cobalt|south|sensor|84|held
2148|dorian|east|rotor|40|pending
1864|ember|west|sensor|73|held
1425|cobalt|south|cable|68|held
1722|ionic|east|panel|62|pending
1413|fulton|south|rotor|16|held
2065|dorian|north|gasket|44|paid
2146|gale|east|valve|19|held
2023|gale|west|frame|54|pending
1607|dorian|east|gasket|63|held
1374|acme|east|pump|50|shipped
1288|ionic|west|rotor|39|pending
1859|fulton|south|frame|52|held
2131|ember|west|frame|67|pending
1928|birch|north|frame|51|held
1644|harbor|east|gasket|31|pending
1871|gale|east|pump|45|paid
2174|ionic|north|valve|29|pending
1866|gale|south|rotor|25|shipped
2112|birch|south|pump|48|held
1892|juno|west|frame|13|held
1617|fulton|south|gasket|29|shipped
1650|cobalt|west|valve|72|shipped
1493|dorian|north|panel|37|shipped
1776|juno|west|frame|46|held
2269|acme|west|panel|39|held
1806|acme|south|gasket|30|shipped
2103|fulton|south|frame|78|paid
1740|cobalt|east|sensor|62|shipped
1287|ionic|east|gasket|82|pending
1488|ionic|south|valve|72|held
1318|ionic|west|panel|71|pending
1440|fulton|south|cable|40|held
1763|juno|east|valve|26|pending
1580|ember|north|sensor|86|paid
2153|juno|east|panel|64|paid
2297|ionic|south|sensor|97|held
1804|juno|south|sensor|70|shipped
2234|fulton|west|rotor|60|shipped
1668|birch|west|frame|83|pending
1645|acme|south|sensor|55|shipped
1846|fulton|south|pump|93|held
1286|ionic|east|valve|96|shipped
1541|ionic|west|rotor|19|paid
1571|harbor|west|panel|35|shipped
2157|fulton|west|rotor|33|pending
1603|harbor|north|gasket|10|pending
2266|ember|east|frame|19|paid
1903|dorian|west|panel|67|paid
1787|acme|east|valve|40|pending
2245|ember|west|pump|65|paid
1481|fulton|west|panel|76|pending
1777|gale|west|frame|18|held
1969|gale|south|sensor|36|shipped
1853|ionic|south|rotor|52|pending
1429|fulton|north|valve|78|shipped
1391|dorian|south|frame|67|paid
1911|juno|north|sensor|18|pending
2279|dorian|north|frame|41|pending
1957|ember|west|pump|15|held
2134|acme|north|cable|11|pending
1523|gale|west|panel|67|pending
2274|fulton|north|pump|47|paid
2084|ionic|south|frame|57|shipped
2382|cobalt|east|frame|42|pending
1368|dorian|east|pump|80|paid
1769|dorian|south|panel|22|shipped
1274|ionic|east|cable|56|pending
1981|birch|east|gasket|34|held
2214|acme|west|panel|47|paid
1498|gale|west|panel|72|held
2209|harbor|west|gasket|10|paid
1301|ionic|east|gasket|18|pending
2313|ember|east|panel|78|pending
1923|gale|west|frame|25|pending
1476|acme|east|frame|74|held
1468|ionic|north|sensor|44|held
1322|ionic|east|valve|43|shipped
1950|ionic|north|cable|17|pending
1590|cobalt|south|cable|91|pending
1339|gale|east|frame|65|shipped
1400|harbor|east|gasket|10|shipped
1380|ionic|west|rotor|12|shipped
1306|ionic|east|rotor|41|held
2319|juno|west|pump|95|paid
1283|ionic|south|gasket|95|pending
1936|ember|south|gasket|13|paid
2188|birch|north|frame|80|held
1627|juno|south|frame|79|paid
1815|cobalt|south|frame|38|held
1930|harbor|west|pump|21|held
1446|ember|south|cable|45|pending
1880|juno|east|frame|39|held
2309|harbor|north|pump|71|pending
2071|gale|east|frame|15|paid
1742|ember|east|frame|94|shipped
1875|dorian|west|rotor|57|shipped
1407|juno|south|panel|44|paid
2042|ember|north|pump|55|shipped
1747|ember|east|gasket|15|paid
1302|ionic|west|rotor|68|pending
2227|acme|north|panel|36|shipped
2257|birch|north|frame|90|pending
1708|ionic|south|frame|43|shipped
2123|harbor|west|rotor|67|held
1333|juno|east|cable|42|pending
1378|dorian|east|cable|67|shipped
2007|harbor|south|panel|91|paid
2349|fulton|north|gasket|82|shipped
1744|cobalt|south|gasket|86|paid
2380|juno|west|pump|72|held
1560|acme|east|frame|97|shipped
1656|harbor|south|pump|25|pending
1786|juno|east|pump|72|paid
2050|harbor|east|gasket|82|shipped
2030|harbor|south|rotor|59|shipped
2175|acme|west|valve|33|pending
1810|gale|west|rotor|76|held
2334|ember|east|pump|28|paid
1512|ionic|north|panel|72|held
1932|ionic|north|panel|23|shipped
1943|gale|south|gasket|19|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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":56}},
{"tool":"restock","args":{"item":"pump","qty":44}},
{"tool":"restock","args":{"item":"gasket","qty":82}},
{"tool":"cancel_order","args":{"order_id":1301}},
{"tool":"restock","args":{"item":"cable","qty":66}},
{"tool":"restock","args":{"item":"rotor","qty":95}},
{"tool":"restock","args":{"item":"panel","qty":62}}
]correctagentic.tools.triage-v1conf 100% · 352ms · $0.051 · 973 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → novak
- infra → haddad
- auth → okafor
INCIDENTS:
1. "export file corrupted" (category: data, priority 4)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "uploads failing intermittently" (category: infra, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 8
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.deploy-v1conf 100% · 364ms · $0.032 · 526 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):
- reports: notifier
- billing: notifier
- notifier: (none)
- gateway: notifier, reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 325ms · $0.041 · 731 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $549
- lima: $661
- tango: $504
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $544 from "oscar" to "lima"
2. pay $142 from "lima" to "tango"
3. pay $437 from "oscar" to "tango"
4. pay $444 from "oscar" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"oscar","to":"lima","amount":544}},
{"tool":"transfer","args":{"from":"lima","to":"tango","amount":142}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":432}},
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":437}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":444}},
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":444}}
]correctagentic.tools.triage-v1conf 100% · 699ms · $0.056 · 1112 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 → chen
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 2)
2. "invoice total wrong" (category: payments, priority 2)
3. "records missing after import" (category: data, priority 6)
4. "card declined at checkout" (category: payments, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "rivera"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 385ms · $0.102 · 1064 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 (172 records, format: id|customer|region|item|qty|status):
```
2084|ionic|north|sensor|54|shipped
1639|gale|north|gasket|47|pending
2078|ember|south|frame|56|held
1891|ember|west|pump|39|pending
1652|fulton|south|cable|80|paid
2041|ember|south|rotor|31|pending
1697|gale|west|valve|83|held
2092|dorian|east|panel|40|held
1932|gale|east|valve|71|paid
1761|ember|north|sensor|72|held
1788|juno|east|cable|84|paid
1909|ionic|west|frame|86|shipped
1975|birch|south|frame|84|paid
1636|harbor|west|cable|66|pending
1728|juno|west|sensor|72|paid
1725|ember|west|frame|10|held
1458|fulton|east|cable|41|pending
1888|acme|north|cable|74|paid
1859|cobalt|east|pump|13|held
1903|acme|west|gasket|33|held
2096|harbor|south|rotor|62|shipped
1517|fulton|north|gasket|62|paid
1779|harbor|south|cable|37|paid
1528|juno|north|cable|39|paid
1767|acme|south|panel|56|paid
1755|ionic|west|cable|23|paid
1938|juno|south|cable|10|shipped
2063|cobalt|north|cable|54|pending
1986|ember|north|frame|26|shipped
1603|ember|east|cable|29|paid
1982|dorian|east|gasket|19|pending
1990|harbor|north|cable|24|held
2100|ember|south|valve|10|shipped
2057|ember|west|gasket|95|pending
2058|dorian|west|frame|94|shipped
1866|dorian|east|gasket|46|paid
1580|ember|east|pump|93|pending
1949|birch|west|gasket|65|pending
1925|dorian|west|frame|37|pending
1862|harbor|north|cable|33|held
1942|dorian|east|valve|93|shipped
1469|fulton|west|rotor|66|pending
1626|fulton|east|panel|36|paid
1473|fulton|north|pump|56|held
1717|cobalt|north|panel|34|held
1814|birch|north|rotor|94|paid
1651|ionic|south|valve|72|pending
1550|harbor|north|panel|41|pending
1479|fulton|north|panel|78|pending
1807|ionic|north|cable|60|held
1890|gale|west|pump|65|paid
2024|dorian|south|sensor|32|shipped
1723|fulton|west|rotor|58|pending
2095|fulton|east|pump|36|shipped
1544|ionic|north|panel|41|held
1835|cobalt|north|sensor|49|pending
1666|gale|north|cable|67|pending
2087|juno|west|rotor|46|paid
1841|harbor|west|frame|16|shipped
2008|cobalt|south|sensor|54|paid
1578|dorian|south|sensor|52|paid
1770|gale|north|frame|74|pending
1670|fulton|west|pump|38|shipped
1486|fulton|north|cable|36|held
1585|cobalt|east|valve|15|paid
2046|gale|east|cable|89|shipped
1665|dorian|east|rotor|37|held
1693|gale|west|panel|16|paid
1732|ionic|west|frame|62|shipped
1840|cobalt|east|gasket|16|pending
1565|cobalt|west|cable|92|paid
2037|fulton|south|frame|20|pending
1972|birch|east|gasket|64|paid
1960|ember|east|cable|46|paid
1785|dorian|west|pump|20|paid
2075|ember|east|cable|91|held
1821|dorian|south|panel|55|pending
1871|cobalt|south|pump|17|pending
2062|cobalt|west|pump|98|shipped
1592|ember|north|sensor|29|pending
1965|cobalt|north|valve|38|pending
1694|fulton|north|pump|11|shipped
1815|ember|east|panel|39|shipped
1887|gale|south|frame|37|pending
1510|fulton|north|valve|75|pending
1644|dorian|west|gasket|56|paid
1774|dorian|north|panel|45|held
2069|fulton|east|pump|80|paid
1777|harbor|west|gasket|48|held
1953|birch|north|pump|75|pending
1537|harbor|east|panel|10|shipped
1907|gale|south|valve|65|shipped
1842|ember|west|frame|69|pending
1493|fulton|north|valve|43|pending
2059|fulton|south|panel|55|held
2099|juno|south|rotor|66|held
1712|dorian|south|panel|25|shipped
1516|fulton|west|pump|97|pending
1596|juno|west|pump|25|held
2021|fulton|south|sensor|92|pending
2044|harbor|east|valve|76|pending
1881|ionic|north|rotor|91|held
1459|fulton|north|sensor|45|held
1609|fulton|west|valve|93|held
1630|harbor|north|frame|53|pending
1571|gale|north|pump|21|held
1796|fulton|south|panel|32|held
1687|birch|north|frame|62|paid
1897|harbor|north|panel|43|paid
1485|fulton|west|sensor|37|pending
1705|ionic|west|pump|35|held
1748|fulton|west|cable|68|pending
1500|fulton|south|frame|16|pending
1658|birch|west|valve|23|pending
1746|ember|east|gasket|85|shipped
2031|acme|east|pump|54|pending
1655|birch|east|panel|95|held
1525|acme|east|sensor|12|shipped
1707|acme|north|panel|95|pending
1818|acme|south|sensor|38|pending
2070|fulton|east|panel|64|shipped
1853|ionic|south|sensor|58|held
1667|acme|south|rotor|25|paid
1987|fulton|east|pump|56|paid
1506|fulton|north|frame|29|shipped
1828|fulton|east|gasket|31|shipped
1465|fulton|north|rotor|27|pending
1816|juno|west|pump|35|held
1522|harbor|north|rotor|93|pending
1906|birch|west|gasket|77|held
1783|acme|west|gasket|83|pending
1615|ember|south|pump|77|held
1605|harbor|east|cable|58|pending
2014|ember|east|valve|83|paid
1635|fulton|east|cable|43|held
1848|birch|east|panel|86|paid
1831|juno|south|rotor|79|paid
1738|birch|west|cable|91|pending
1802|dorian|east|pump|35|pending
2071|acme|north|rotor|96|shipped
1794|juno|south|sensor|11|held
1915|ember|east|gasket|33|held
1698|juno|west|pump|16|held
1681|fulton|east|valve|50|pending
1457|fulton|north|rotor|76|pending
1668|cobalt|north|pump|21|pending
1561|ionic|east|rotor|39|pending
1744|ember|south|valve|78|paid
1680|fulton|west|panel|98|shipped
2018|cobalt|west|frame|18|paid
1872|cobalt|west|frame|15|paid
1613|ionic|west|sensor|85|shipped
1844|birch|east|cable|35|held
2051|birch|north|gasket|26|paid
1854|gale|east|frame|43|held
2082|cobalt|east|rotor|23|shipped
1782|ionic|east|panel|56|paid
1643|dorian|east|gasket|70|held
1995|dorian|south|frame|64|shipped
1620|birch|south|sensor|84|held
2001|dorian|north|rotor|51|shipped
2081|gale|north|frame|33|paid
1678|juno|west|rotor|50|paid
1518|birch|south|rotor|16|paid
1672|gale|east|cable|76|paid
1947|ionic|east|valve|98|shipped
1874|gale|north|valve|66|held
1989|birch|north|valve|29|paid
1530|dorian|south|pump|43|held
1555|ember|west|sensor|11|held
1920|ionic|north|frame|34|pending
2066|cobalt|east|cable|60|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"rotor","qty":76}},
{"tool":"restock","args":{"item":"panel","qty":78}},
{"tool":"cancel_order","args":{"order_id":1493}},
{"tool":"restock","args":{"item":"valve","qty":75}}
]correctagentic.tools.deploy-v1conf 100% · 368ms · $0.029 · 446 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: gateway, reports
- reports: (none)
- gateway: reports
- billing: gateway, reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"reports"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"health_check","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"search"}}
]correctagentic.tools.ledger-v1conf 100% · 292ms · $0.044 · 811 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $756
- oscar: $200
- kilo: $497
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $118 from "kilo" to "oscar"
2. pay $421 from "kilo" to "oscar"
3. pay $383 from "oscar" to "kilo"
4. pay $237 from "oscar" to "delta"
5. pay $579 from "kilo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"kilo","to":"oscar","amount":118}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":42}},
{"tool":"transfer","args":{"from":"kilo","to":"oscar","amount":421}},
{"tool":"transfer","args":{"from":"oscar","to":"kilo","amount":383}},
{"tool":"transfer","args":{"from":"oscar","to":"delta","amount":237}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":196}},
{"tool":"transfer","args":{"from":"kilo","to":"delta","amount":579}}
]wrongagentic.tools.triage-v1conf 100% · 423ms · $0.065 · 1357 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 → rivera
- infra → haddad
- data → dubois
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 7)
2. "webhooks not delivered" (category: infra, priority 2)
3. "locked out after 2FA change" (category: auth, priority 7)
4. "locked out after 2FA change" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 7
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 7
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 7
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.context-load-v1conf 100% · 517ms · $0.093 · 873 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (162 records, format: id|customer|region|item|qty|status):
```
1341|acme|south|valve|86|shipped
1286|cobalt|west|gasket|58|paid
1612|dorian|east|frame|25|paid
1676|ember|south|frame|33|held
1832|cobalt|south|rotor|78|held
1646|harbor|east|sensor|32|pending
1543|dorian|west|gasket|87|paid
1335|cobalt|west|frame|82|pending
1236|dorian|north|pump|49|paid
1614|ember|west|frame|61|paid
1710|gale|north|frame|75|paid
1465|ember|west|frame|21|shipped
1825|ember|west|rotor|70|pending
1408|cobalt|west|panel|81|paid
1632|cobalt|north|cable|70|paid
1630|harbor|west|cable|32|held
1191|ember|east|valve|64|held
1757|ionic|west|pump|89|paid
1364|dorian|south|pump|99|shipped
1581|fulton|north|cable|26|pending
1557|acme|north|cable|47|shipped
1152|ember|east|gasket|62|pending
1401|gale|east|rotor|80|held
1514|ember|east|panel|69|shipped
1575|harbor|north|panel|12|pending
1625|juno|north|panel|82|paid
1760|harbor|south|sensor|14|paid
1282|fulton|east|panel|95|shipped
1656|dorian|west|cable|89|paid
1386|dorian|south|rotor|17|shipped
1252|harbor|west|panel|90|shipped
1734|ionic|west|gasket|77|shipped
1449|ember|south|gasket|85|paid
1230|harbor|west|frame|98|held
1324|juno|south|panel|91|shipped
1782|cobalt|north|panel|51|shipped
1529|acme|north|valve|27|shipped
1745|juno|south|gasket|45|paid
1368|ember|north|valve|98|pending
1800|ember|north|pump|36|held
1471|birch|north|pump|70|paid
1367|harbor|east|gasket|44|held
1161|ember|east|pump|23|paid
1484|gale|south|gasket|53|held
1508|juno|west|panel|22|shipped
1517|fulton|north|panel|77|held
1313|cobalt|south|rotor|37|held
1331|birch|west|panel|68|paid
1522|acme|north|frame|19|paid
1831|harbor|south|panel|80|paid
1491|fulton|south|frame|85|held
1722|cobalt|west|sensor|51|shipped
1606|gale|south|frame|66|shipped
1704|ionic|east|sensor|49|shipped
1302|gale|south|pump|92|shipped
1461|dorian|north|frame|56|shipped
1846|acme|west|frame|63|pending
1729|dorian|south|cable|26|paid
1498|cobalt|south|frame|13|shipped
1496|cobalt|east|pump|93|pending
1259|harbor|west|rotor|78|shipped
1554|gale|east|sensor|71|shipped
1580|fulton|east|rotor|53|paid
1536|birch|south|cable|65|shipped
1379|gale|south|sensor|82|paid
1414|ionic|south|panel|79|shipped
1639|birch|north|panel|16|held
1434|cobalt|north|valve|59|paid
1479|birch|west|gasket|56|shipped
1292|acme|west|cable|39|pending
1751|harbor|west|sensor|26|shipped
1813|cobalt|north|cable|86|pending
1727|fulton|east|rotor|13|paid
1591|birch|east|sensor|99|held
1620|ember|north|cable|16|shipped
1410|dorian|south|gasket|46|held
1298|harbor|east|cable|46|held
1775|birch|west|gasket|17|shipped
1400|gale|west|cable|41|pending
1351|gale|east|panel|27|shipped
1667|cobalt|south|valve|54|pending
1241|ionic|east|sensor|36|paid
1779|harbor|north|rotor|89|shipped
1758|cobalt|north|rotor|94|held
1146|ember|east|frame|69|held
1819|dorian|north|sensor|27|paid
1419|gale|west|cable|67|pending
1369|acme|west|frame|39|pending
1359|fulton|east|pump|68|held
1206|ember|east|pump|53|shipped
1443|fulton|south|sensor|84|held
1772|gale|north|cable|15|shipped
1653|harbor|east|valve|28|shipped
1764|juno|west|valve|54|held
1787|ionic|west|pump|37|shipped
1140|ember|west|gasket|28|pending
1392|harbor|north|frame|69|shipped
1317|acme|south|gasket|31|pending
1266|ember|south|cable|97|pending
1673|harbor|north|frame|55|held
1272|birch|east|rotor|22|pending
1308|harbor|east|cable|70|pending
1769|gale|south|valve|50|held
1605|ember|west|rotor|15|held
1439|cobalt|west|rotor|17|paid
1837|gale|east|rotor|19|shipped
1478|acme|east|frame|82|paid
1182|ember|east|pump|41|pending
1426|acme|west|panel|81|shipped
1558|ember|west|panel|33|pending
1154|ember|west|valve|98|pending
1839|fulton|east|frame|65|shipped
1133|ember|east|sensor|46|pending
1569|dorian|north|gasket|78|held
1638|ionic|west|gasket|42|shipped
1200|ember|north|valve|33|pending
1306|fulton|south|rotor|47|shipped
1681|birch|west|cable|40|pending
1372|dorian|north|sensor|89|pending
1666|juno|north|panel|67|pending
1599|dorian|south|valve|24|shipped
1702|harbor|south|sensor|79|pending
1455|harbor|south|panel|15|held
1215|dorian|east|frame|33|held
1822|harbor|west|frame|32|pending
1186|ember|north|sensor|50|pending
1716|gale|north|valve|87|shipped
1197|ember|east|sensor|94|pending
1429|ionic|east|frame|87|pending
1169|ember|north|panel|14|pending
1397|ionic|north|gasket|58|shipped
1345|harbor|west|rotor|61|held
1245|ember|south|pump|54|shipped
1277|acme|west|cable|60|held
1807|fulton|west|cable|15|pending
1794|ionic|north|sensor|90|held
1207|birch|south|gasket|17|held
1214|birch|west|pump|38|held
1562|harbor|north|rotor|59|held
1502|ionic|west|cable|39|pending
1688|birch|east|valve|46|shipped
1163|ember|east|frame|80|pending
1460|ionic|east|cable|48|held
1739|cobalt|north|cable|18|held
1746|dorian|south|valve|13|shipped
1699|fulton|south|pump|93|shipped
1695|birch|east|sensor|90|paid
1624|dorian|north|gasket|49|pending
1219|harbor|south|cable|27|paid
1223|juno|north|sensor|45|pending
1548|harbor|east|panel|43|held
1587|cobalt|north|frame|74|pending
1175|ember|east|pump|84|paid
1640|ionic|east|frame|57|paid
1355|acme|west|cable|30|paid
1682|cobalt|east|rotor|61|pending
1415|harbor|south|frame|71|paid
1383|ionic|east|cable|95|paid
1660|fulton|east|gasket|10|held
1671|ember|east|gasket|71|pending
1806|ember|west|pump|87|paid
1596|gale|north|gasket|75|pending
```
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 > 63, 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":1133}},
{"tool":"cancel_order","args":{"order_id":1152}},
{"tool":"restock","args":{"item":"frame","qty":80}},
{"tool":"cancel_order","args":{"order_id":1182}},
{"tool":"restock","args":{"item":"sensor","qty":94}},
{"tool":"restock","args":{"item":"gasket","qty":71}}
]correctagentic.tools.deploy-v1conf 100% · 312ms · $0.028 · 417 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: reports, search
- reports: (none)
- notifier: search
- search: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"health_check","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"notifier"}}
]correctagentic.tools.ledger-v1conf 100% · 289ms · $0.047 · 896 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $232
- tango: $880
- oscar: $636
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $446 from "oscar" to "tango"
2. pay $585 from "oscar" to "delta"
3. pay $558 from "oscar" to "tango"
4. pay $473 from "tango" to "oscar"
5. pay $438 from "tango" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":446}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":395}},
{"tool":"transfer","args":{"from":"oscar","to":"delta","amount":585}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":558}},
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":558}},
{"tool":"transfer","args":{"from":"tango","to":"oscar","amount":473}},
{"tool":"transfer","args":{"from":"tango","to":"delta","amount":438}}
]correctagentic.tools.context-load-v1conf 100% · 1.0s · $0.148 · 1369 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 (286 records, format: id|customer|region|item|qty|status):
```
1820|birch|east|cable|40|shipped
1693|ember|west|sensor|14|shipped
1332|harbor|south|valve|85|shipped
2323|cobalt|west|rotor|92|paid
1856|dorian|west|cable|23|shipped
1466|fulton|south|gasket|87|pending
1975|acme|east|rotor|80|pending
2069|harbor|west|frame|17|shipped
2092|juno|south|panel|96|shipped
1606|ionic|west|frame|55|paid
2147|fulton|south|sensor|95|pending
1500|ember|west|frame|72|shipped
1895|cobalt|north|valve|11|pending
1920|gale|east|rotor|87|held
1613|ionic|south|gasket|42|held
1979|juno|south|panel|56|pending
1659|juno|west|gasket|37|pending
1664|acme|west|cable|52|pending
1761|fulton|south|cable|50|shipped
1793|gale|north|pump|69|shipped
2153|gale|west|panel|54|pending
2187|harbor|west|gasket|70|paid
1485|harbor|west|rotor|74|shipped
2390|fulton|west|cable|97|paid
2387|fulton|north|gasket|92|paid
1375|birch|south|gasket|52|shipped
1997|ember|north|valve|50|held
1467|ember|south|panel|88|pending
2001|ionic|south|sensor|64|shipped
1768|gale|south|pump|55|paid
1925|harbor|west|rotor|31|paid
1480|dorian|east|rotor|39|held
2089|gale|north|panel|89|pending
1728|ionic|north|pump|65|shipped
1535|harbor|west|sensor|10|shipped
1422|juno|west|gasket|15|pending
2259|ember|north|rotor|75|held
2205|cobalt|west|cable|59|pending
1328|birch|south|pump|48|paid
1274|birch|north|sensor|27|pending
1421|harbor|south|frame|32|paid
1890|gale|west|gasket|89|shipped
2297|fulton|north|valve|30|paid
2157|ember|north|pump|25|pending
2072|acme|east|frame|16|pending
2046|birch|west|valve|86|held
1709|fulton|south|gasket|73|shipped
1346|ember|north|frame|79|paid
2217|harbor|south|pump|83|held
1558|cobalt|south|valve|92|paid
2330|cobalt|east|frame|10|paid
1791|dorian|north|panel|84|paid
1299|birch|west|pump|60|pending
2098|acme|east|frame|97|pending
2027|birch|north|frame|72|pending
1636|ionic|east|rotor|87|held
2160|fulton|north|rotor|34|shipped
2017|gale|north|valve|30|paid
1704|juno|west|valve|23|held
1686|juno|north|frame|26|pending
2167|gale|north|sensor|62|paid
1914|acme|south|rotor|10|held
1646|birch|west|frame|23|held
1469|juno|north|panel|45|held
2232|fulton|south|cable|74|paid
1537|dorian|north|valve|14|held
1640|ionic|north|rotor|80|shipped
2303|ionic|north|frame|42|paid
1453|ionic|south|valve|27|pending
1365|birch|east|gasket|83|held
2120|juno|east|sensor|22|paid
1696|harbor|east|sensor|56|shipped
1487|cobalt|south|rotor|10|paid
1343|juno|south|valve|10|pending
1556|harbor|north|frame|97|shipped
1668|birch|south|sensor|81|pending
2361|ionic|north|rotor|97|paid
1601|birch|west|valve|91|paid
1669|fulton|west|sensor|73|held
2108|fulton|east|cable|23|paid
2134|juno|west|frame|43|pending
1387|harbor|south|frame|73|shipped
2097|birch|north|gasket|28|paid
2166|fulton|east|panel|48|pending
2367|juno|north|sensor|84|pending
1314|birch|south|gasket|77|paid
1808|acme|west|rotor|61|paid
2141|cobalt|west|panel|93|pending
1505|ionic|north|valve|79|paid
2306|ionic|south|cable|82|held
2318|harbor|south|sensor|52|shipped
1785|ember|west|panel|45|held
2121|harbor|west|frame|94|held
1576|harbor|south|sensor|57|shipped
1723|ember|south|panel|64|held
1973|juno|north|sensor|88|paid
2354|ionic|east|cable|91|shipped
2194|dorian|east|valve|28|held
1904|ember|south|pump|76|paid
2383|fulton|east|valve|91|paid
2380|juno|west|gasket|92|held
1888|gale|south|gasket|37|pending
2223|ionic|north|valve|18|held
1739|cobalt|north|valve|93|paid
2037|fulton|west|valve|30|paid
1359|fulton|east|panel|23|paid
2013|birch|south|valve|37|paid
2209|harbor|north|pump|74|pending
1879|cobalt|south|pump|34|paid
1988|harbor|east|panel|71|pending
1982|cobalt|north|cable|87|paid
1371|juno|east|sensor|37|pending
2239|ember|east|valve|61|paid
1993|dorian|south|pump|10|pending
1866|harbor|north|rotor|33|held
1320|birch|south|sensor|69|pending
1507|acme|east|valve|91|held
1548|cobalt|east|cable|40|shipped
1762|ionic|west|pump|64|shipped
2140|gale|east|frame|56|held
2262|birch|east|cable|11|pending
2341|cobalt|south|sensor|53|paid
2126|harbor|west|frame|47|pending
2274|birch|east|cable|71|pending
1516|juno|east|panel|50|pending
2105|juno|south|cable|30|pending
2253|cobalt|north|valve|19|held
1857|birch|north|panel|70|held
2336|birch|south|pump|98|pending
1998|cobalt|north|panel|47|paid
1474|dorian|east|rotor|71|shipped
1962|birch|south|valve|15|paid
1464|gale|east|rotor|53|held
1968|harbor|east|frame|59|held
1562|juno|south|sensor|45|shipped
1510|birch|north|cable|87|held
2000|dorian|south|gasket|19|paid
2008|gale|north|gasket|10|held
2062|fulton|north|valve|82|shipped
2176|ionic|east|panel|90|held
2070|cobalt|west|frame|11|shipped
1733|juno|north|valve|50|paid
1748|ionic|north|panel|53|held
1824|juno|east|sensor|11|held
2180|cobalt|west|panel|43|pending
1985|acme|east|cable|17|shipped
1683|juno|north|valve|93|paid
1396|fulton|south|gasket|86|held
2269|acme|south|pump|17|pending
1596|birch|west|frame|92|pending
1418|ember|north|cable|44|shipped
2213|birch|west|rotor|21|shipped
2182|dorian|north|gasket|70|pending
1546|cobalt|east|pump|29|shipped
2200|dorian|west|frame|19|paid
1323|birch|west|panel|33|pending
1351|juno|north|frame|59|held
1833|ember|south|cable|52|held
2355|birch|east|gasket|81|shipped
1695|dorian|east|gasket|46|held
1276|birch|south|cable|44|held
1443|dorian|north|cable|10|shipped
2178|ionic|west|sensor|87|shipped
1400|dorian|west|rotor|33|paid
1851|ember|west|gasket|10|pending
2114|acme|south|rotor|86|pending
1382|acme|west|frame|13|shipped
1799|harbor|west|valve|70|paid
1957|juno|south|panel|15|shipped
1358|dorian|west|gasket|51|pending
1581|birch|south|gasket|58|shipped
1899|birch|east|gasket|64|pending
1404|ionic|south|valve|18|shipped
1304|birch|south|cable|41|held
1506|juno|west|sensor|89|pending
1756|fulton|west|pump|72|shipped
1844|fulton|east|frame|84|shipped
1294|birch|south|gasket|45|pending
1311|birch|south|gasket|77|pending
1937|ionic|west|rotor|78|paid
1539|ember|south|sensor|53|shipped
1746|gale|west|valve|90|pending
2348|juno|north|gasket|26|paid
1441|birch|north|frame|84|held
1426|cobalt|west|frame|30|pending
1529|fulton|west|frame|55|held
1372|cobalt|west|sensor|77|pending
1288|birch|south|rotor|10|shipped
1884|acme|south|gasket|33|pending
2161|dorian|south|sensor|78|held
2285|juno|east|rotor|44|shipped
1867|fulton|west|panel|15|paid
1873|cobalt|west|cable|24|paid
1360|dorian|north|panel|94|paid
2082|harbor|south|rotor|65|paid
1392|gale|west|sensor|86|paid
2060|dorian|south|frame|72|paid
2050|birch|north|panel|78|pending
1280|birch|south|panel|60|pending
1758|juno|south|valve|65|pending
1757|ionic|south|gasket|30|shipped
1823|fulton|south|sensor|87|pending
1654|cobalt|west|frame|60|shipped
1366|ionic|east|cable|55|held
2228|gale|south|panel|44|shipped
1781|juno|west|frame|45|paid
1705|ember|east|frame|53|shipped
2128|juno|south|gasket|46|held
1635|harbor|north|frame|39|held
1648|juno|north|panel|52|held
2289|juno|east|frame|14|shipped
2369|fulton|west|panel|11|paid
2076|fulton|east|sensor|40|paid
2146|juno|west|pump|84|shipped
2373|ionic|west|rotor|62|shipped
1583|cobalt|east|panel|39|held
2175|cobalt|north|frame|79|pending
1941|ionic|west|pump|87|held
1551|harbor|east|pump|55|held
1831|cobalt|east|sensor|26|paid
1435|harbor|east|valve|59|shipped
1701|harbor|north|panel|89|held
2057|gale|south|panel|96|paid
1676|harbor|east|sensor|92|held
1429|acme|east|gasket|29|paid
1459|ionic|east|gasket|45|held
1523|acme|south|cable|13|held
2173|cobalt|north|sensor|79|paid
1841|ember|north|gasket|30|held
2291|gale|north|cable|57|shipped
2016|cobalt|east|rotor|69|held
2004|fulton|north|pump|66|pending
2236|dorian|west|cable|44|shipped
1401|birch|west|rotor|66|held
1569|harbor|east|panel|94|pending
1903|ionic|east|rotor|26|pending
1913|juno|south|sensor|55|held
1313|birch|north|valve|51|pending
1909|acme|north|valve|46|held
1744|acme|north|valve|88|shipped
1271|birch|south|rotor|26|pending
1621|fulton|east|sensor|82|shipped
1950|harbor|north|valve|79|pending
1773|fulton|east|rotor|22|shipped
1590|acme|east|valve|22|shipped
2278|ember|east|panel|11|pending
2309|dorian|west|gasket|78|shipped
1716|gale|west|panel|74|paid
1947|birch|north|panel|19|paid
2021|gale|north|gasket|63|held
2313|juno|east|pump|77|held
2268|ionic|west|panel|36|held
2245|cobalt|north|gasket|98|shipped
1815|ionic|north|frame|47|held
2185|cobalt|south|cable|56|pending
1835|gale|south|valve|84|pending
1449|birch|east|cable|95|held
1468|harbor|north|sensor|22|shipped
2034|cobalt|west|valve|63|shipped
1405|birch|south|pump|40|held
1282|birch|north|pump|82|pending
2385|acme|east|sensor|31|pending
2301|ember|south|gasket|98|pending
1821|cobalt|east|sensor|10|shipped
1749|cobalt|north|rotor|78|pending
1331|cobalt|north|cable|31|held
1951|acme|north|pump|13|held
1932|cobalt|north|gasket|88|paid
1618|ionic|west|gasket|61|shipped
1779|ionic|west|pump|30|held
1412|acme|south|sensor|99|shipped
1356|harbor|west|cable|53|paid
1337|cobalt|north|frame|16|pending
1494|juno|south|pump|98|paid
1801|juno|west|valve|68|shipped
2254|ember|south|pump|38|pending
2041|harbor|east|pump|49|held
1652|cobalt|east|valve|21|held
1710|gale|south|cable|38|paid
1334|acme|east|valve|14|shipped
1845|acme|east|gasket|89|pending
2249|birch|west|sensor|16|paid
1864|dorian|east|pump|65|paid
1628|birch|west|pump|68|pending
1921|dorian|east|rotor|47|held
1918|birch|south|cable|30|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1271}},
{"tool":"cancel_order","args":{"order_id":1280}},
{"tool":"cancel_order","args":{"order_id":1294}},
{"tool":"restock","args":{"item":"gasket","qty":77}},
{"tool":"cancel_order","args":{"order_id":1320}},
{"tool":"restock","args":{"item":"sensor","qty":81}},
{"tool":"restock","args":{"item":"pump","qty":98}}
]correctagentic.tools.triage-v1conf 100% · 376ms · $0.052 · 995 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- payments → rivera
- infra → silva
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 6)
2. "card declined at checkout" (category: payments, priority 8)
3. "card declined at checkout" (category: payments, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 8
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.deploy-v1conf 100% · 427ms · $0.030 · 462 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: gateway
- auth-svc: search
- notifier: auth-svc, gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]correctagentic.tools.ledger-v1conf 100% · 281ms · $0.044 · 812 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $813
- oscar: $315
- tango: $518
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $405 from "tango" to "delta"
2. pay $509 from "oscar" to "delta"
3. pay $167 from "delta" to "tango"
4. pay $82 from "delta" to "oscar"
5. pay $223 from "oscar" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"tango","to":"delta","amount":405}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":194}},
{"tool":"transfer","args":{"from":"oscar","to":"delta","amount":509}},
{"tool":"transfer","args":{"from":"delta","to":"tango","amount":167}},
{"tool":"transfer","args":{"from":"delta","to":"oscar","amount":82}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":141}},
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":223}}
]correctagentic.tools.triage-v1conf 100% · 2.0s · $0.067 · 1425 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 → okafor
- auth → chen
- payments → rivera
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "locked out after 2FA change" (category: auth, priority 9)
3. "locked out after 2FA change" (category: auth, priority 9)
4. "webhooks not delivered" (category: infra, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-4"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "okafor"
}
}
]correctagentic.tools.context-load-v1conf 100% · 647ms · $0.099 · 782 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 (196 records, format: id|customer|region|item|qty|status):
```
1643|gale|north|rotor|52|held
2016|ember|north|rotor|94|pending
1486|cobalt|south|cable|63|held
2210|ember|west|rotor|67|paid
1841|fulton|east|frame|84|held
1798|ionic|west|rotor|56|pending
1623|birch|east|panel|44|pending
2067|juno|south|rotor|34|paid
1654|gale|north|panel|95|shipped
1926|juno|east|cable|54|paid
1663|fulton|south|pump|53|pending
1906|fulton|west|frame|14|shipped
2033|ember|north|pump|51|pending
1627|cobalt|south|rotor|17|paid
2160|cobalt|west|valve|44|held
1946|acme|north|cable|24|shipped
1506|ionic|west|panel|82|paid
1792|fulton|north|panel|19|paid
1779|gale|east|cable|50|pending
2042|birch|north|sensor|36|paid
1512|dorian|north|gasket|93|pending
1583|harbor|south|pump|68|pending
1679|birch|west|gasket|63|paid
1910|ionic|north|pump|61|pending
1800|ionic|east|cable|41|held
1753|birch|east|frame|60|pending
2043|gale|west|gasket|72|paid
1600|gale|east|rotor|84|paid
1987|gale|east|sensor|77|paid
1988|ember|south|frame|73|held
1976|gale|south|panel|12|held
1590|gale|south|panel|78|held
2009|birch|east|valve|81|shipped
1880|ember|south|pump|13|paid
1444|ionic|west|cable|81|paid
1518|dorian|west|valve|14|paid
1885|fulton|north|panel|58|pending
1610|gale|north|gasket|24|shipped
1500|juno|east|frame|74|pending
1845|harbor|north|sensor|76|shipped
1547|gale|east|frame|92|paid
1895|ember|north|cable|59|held
1902|harbor|west|cable|93|shipped
1742|birch|east|pump|47|held
2193|ionic|east|panel|17|held
2047|fulton|south|frame|27|paid
1724|gale|east|panel|18|paid
1958|ionic|north|sensor|53|pending
1911|fulton|north|valve|94|pending
1565|juno|west|panel|19|held
2094|birch|south|gasket|46|held
2143|fulton|south|panel|23|pending
1794|birch|north|frame|23|held
2077|ionic|south|pump|41|held
1935|dorian|south|panel|12|paid
1884|dorian|west|rotor|62|held
2059|ember|west|pump|84|pending
1686|juno|west|pump|90|held
1542|harbor|west|panel|54|paid
2168|cobalt|east|sensor|95|shipped
2117|juno|south|valve|65|pending
2027|ember|east|sensor|63|shipped
1501|acme|east|sensor|38|held
2165|juno|south|rotor|41|shipped
2145|harbor|west|rotor|40|paid
1707|dorian|east|gasket|35|held
1474|acme|west|gasket|65|paid
2005|ionic|west|frame|14|held
1567|birch|south|cable|82|paid
2187|cobalt|west|panel|66|paid
1593|ember|west|sensor|75|paid
1533|birch|west|gasket|47|held
1659|ember|east|cable|57|pending
2153|gale|south|cable|32|pending
1986|gale|south|pump|34|shipped
1849|cobalt|south|pump|15|shipped
1913|gale|east|frame|62|shipped
1477|gale|south|cable|83|held
1869|acme|east|pump|21|pending
2173|dorian|east|pump|72|paid
1460|ionic|west|gasket|28|paid
1856|cobalt|west|gasket|89|pending
1482|acme|west|cable|71|shipped
1578|ionic|south|sensor|10|paid
1954|ionic|south|valve|50|paid
2203|juno|west|sensor|70|shipped
1827|ionic|south|rotor|18|held
1556|gale|east|gasket|99|paid
1939|birch|east|cable|48|shipped
1736|ember|east|frame|26|pending
2090|ember|east|valve|55|paid
1791|ember|east|rotor|75|shipped
1789|gale|east|rotor|64|shipped
2156|harbor|west|cable|54|held
2213|harbor|east|frame|84|paid
1604|juno|north|pump|72|held
1952|ember|east|cable|32|held
1463|juno|west|panel|53|pending
2065|harbor|north|valve|60|paid
1823|cobalt|north|sensor|85|paid
1700|acme|east|panel|21|shipped
2011|juno|east|rotor|15|paid
1743|gale|south|rotor|17|held
1571|ionic|south|sensor|77|pending
2123|fulton|east|cable|64|paid
2068|ember|east|cable|14|shipped
2131|cobalt|south|pump|12|paid
1837|harbor|east|panel|60|shipped
1933|birch|east|frame|52|shipped
1993|acme|south|valve|38|held
1472|birch|south|sensor|69|paid
1487|harbor|west|gasket|92|pending
1536|ionic|west|rotor|31|pending
1888|gale|east|sensor|93|pending
1807|harbor|south|frame|70|pending
1739|gale|south|panel|79|shipped
1606|juno|east|pump|65|shipped
1476|ionic|west|sensor|82|held
2125|harbor|north|frame|99|pending
1729|juno|east|gasket|69|paid
1522|ionic|north|sensor|38|shipped
2112|gale|west|sensor|37|shipped
2078|birch|west|gasket|21|shipped
1633|ember|east|sensor|83|pending
2198|gale|east|cable|86|pending
1713|ember|west|rotor|76|held
1430|ionic|west|sensor|55|shipped
1450|ionic|west|valve|39|pending
1698|dorian|east|pump|88|pending
1545|ionic|south|rotor|59|shipped
2135|cobalt|south|sensor|16|pending
2181|ember|south|rotor|41|held
1550|cobalt|north|valve|42|shipped
1489|birch|south|valve|32|paid
2105|cobalt|west|gasket|69|paid
2036|dorian|south|frame|69|pending
1969|dorian|west|cable|53|pending
1716|fulton|west|cable|93|pending
1875|acme|south|gasket|99|held
1639|juno|west|rotor|66|shipped
1649|birch|west|panel|70|paid
1983|birch|west|gasket|31|pending
1795|cobalt|north|pump|59|paid
2022|fulton|north|sensor|96|shipped
2150|ionic|south|rotor|23|held
2072|acme|west|sensor|50|paid
1748|gale|north|pump|20|held
1835|gale|west|valve|26|pending
1997|juno|west|panel|81|paid
2086|fulton|east|valve|98|shipped
1925|acme|south|frame|47|shipped
2081|birch|east|sensor|81|pending
1566|harbor|north|sensor|19|paid
1749|birch|south|cable|42|held
1962|harbor|east|pump|36|shipped
1759|dorian|west|valve|29|held
1907|gale|east|rotor|47|held
1828|gale|south|sensor|10|shipped
1421|ionic|west|cable|94|pending
1423|ionic|east|sensor|30|pending
1858|harbor|west|rotor|87|pending
1781|acme|north|sensor|61|held
1824|fulton|east|pump|16|paid
1810|ember|north|rotor|53|pending
1691|acme|west|cable|26|pending
1673|juno|west|gasket|91|shipped
2029|dorian|north|sensor|99|paid
1481|ionic|west|gasket|45|held
1773|juno|west|rotor|27|pending
1435|ionic|west|panel|84|pending
1787|birch|south|valve|34|shipped
1558|ionic|east|panel|34|shipped
1766|ionic|south|sensor|96|pending
1915|fulton|north|sensor|57|paid
2097|dorian|west|panel|63|shipped
1666|gale|west|valve|49|pending
1865|cobalt|east|pump|63|shipped
1661|gale|north|frame|92|pending
1692|juno|south|rotor|44|pending
1816|acme|south|valve|35|pending
2054|fulton|south|frame|14|paid
1528|fulton|west|panel|57|paid
1441|ionic|north|pump|93|pending
1617|juno|south|frame|52|shipped
2101|birch|north|frame|67|paid
1998|gale|north|frame|92|paid
1776|acme|north|frame|67|pending
1529|harbor|east|pump|74|held
2136|harbor|north|cable|48|held
1453|ionic|north|panel|55|pending
1466|gale|east|gasket|35|shipped
1921|ember|east|sensor|64|shipped
1723|acme|north|gasket|85|paid
1494|gale|west|gasket|36|shipped
2174|acme|east|gasket|69|held
2013|acme|north|rotor|52|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"cable","qty":94}},
{"tool":"restock","args":{"item":"panel","qty":84}},
{"tool":"cancel_order","args":{"order_id":1450}},
{"tool":"cancel_order","args":{"order_id":1536}},
{"tool":"cancel_order","args":{"order_id":1798}}
]correctagentic.tools.deploy-v1conf 100% · 2.5s · $0.029 · 430 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):
- reports: gateway
- notifier: (none)
- gateway: notifier
- billing: gateway, reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}}
]correctagentic.tools.ledger-v1conf 100% · 373ms · $0.046 · 856 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $279
- lima: $277
- bravo: $654
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $270 from "bravo" to "lima"
2. pay $302 from "alpha" to "lima"
3. pay $84 from "bravo" to "lima"
4. pay $413 from "bravo" to "lima"
5. pay $160 from "lima" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":270}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":23}},
{"tool":"transfer","args":{"from":"alpha","to":"lima","amount":302}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":84}},
{"tool":"top_up_from_reserve","args":{"account":"bravo","amount":113}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":413}},
{"tool":"transfer","args":{"from":"lima","to":"bravo","amount":160}}
]correctagentic.tools.triage-v1conf 100% · 325ms · $0.051 · 961 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → dubois
- auth → chen
- infra → novak
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 3)
2. "invoice total wrong" (category: payments, priority 3)
3. "uploads failing intermittently" (category: infra, 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": "invoice total wrong",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-3"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "novak"
}
}
]correctagentic.tools.context-load-v1conf 100% · 315ms · $0.085 · 862 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 (137 records, format: id|customer|region|item|qty|status):
```
1341|acme|south|panel|16|paid
1141|dorian|east|pump|95|paid
1227|birch|south|cable|68|held
1206|birch|south|rotor|91|pending
1176|dorian|south|frame|91|paid
1395|fulton|east|pump|76|held
1513|gale|west|panel|45|pending
1246|fulton|east|frame|18|shipped
1392|dorian|north|rotor|24|shipped
1358|harbor|east|sensor|81|held
1517|harbor|east|valve|51|paid
1474|ember|south|valve|12|shipped
1430|harbor|west|cable|36|shipped
1356|birch|north|frame|39|held
1197|fulton|south|gasket|47|paid
1364|cobalt|south|pump|24|paid
1259|birch|west|pump|87|paid
1387|dorian|south|frame|24|held
1157|ionic|east|gasket|16|pending
1099|harbor|west|sensor|56|pending
1256|birch|north|cable|87|pending
1409|cobalt|south|frame|93|shipped
1434|birch|south|cable|32|paid
1245|gale|north|valve|58|shipped
1316|gale|east|frame|73|held
1211|harbor|north|frame|98|paid
1484|ember|east|frame|40|pending
1551|ember|east|panel|87|paid
1238|fulton|west|frame|39|held
1446|gale|east|valve|98|held
1168|juno|south|rotor|46|pending
1178|harbor|east|rotor|28|held
1131|harbor|south|cable|48|held
1090|harbor|south|frame|44|held
1241|gale|north|rotor|74|pending
1069|harbor|south|rotor|16|pending
1327|fulton|east|valve|68|paid
1287|cobalt|south|sensor|77|shipped
1373|acme|east|cable|41|held
1151|harbor|south|rotor|92|paid
1201|ionic|west|cable|52|paid
1310|dorian|east|rotor|85|pending
1491|gale|north|valve|85|shipped
1077|harbor|south|cable|95|pending
1400|fulton|north|sensor|75|shipped
1531|gale|east|rotor|38|shipped
1433|acme|north|panel|93|pending
1110|ember|west|rotor|18|pending
1094|harbor|south|rotor|56|shipped
1283|ionic|east|pump|95|held
1505|ember|south|rotor|75|shipped
1544|ionic|north|rotor|42|held
1386|gale|east|sensor|91|shipped
1538|ember|east|gasket|74|pending
1142|dorian|east|rotor|86|held
1252|gale|east|cable|20|held
1546|ember|west|rotor|31|shipped
1478|ember|east|cable|25|pending
1527|fulton|east|gasket|46|held
1188|fulton|west|sensor|60|pending
1464|gale|east|panel|40|paid
1070|harbor|east|frame|19|pending
1329|ember|east|cable|15|pending
1198|ionic|south|gasket|98|pending
1278|ember|east|frame|60|paid
1124|birch|west|frame|47|held
1558|gale|west|frame|92|paid
1146|ember|north|frame|55|held
1324|ember|east|cable|91|pending
1368|harbor|north|sensor|14|shipped
1266|dorian|east|sensor|96|pending
1482|acme|north|panel|94|paid
1397|juno|north|cable|15|pending
1106|gale|south|sensor|10|held
1415|dorian|east|cable|35|pending
1371|ember|south|panel|92|pending
1134|juno|west|cable|32|held
1376|dorian|west|pump|57|paid
1391|acme|north|valve|88|pending
1203|harbor|west|frame|44|paid
1072|harbor|south|valve|59|paid
1403|dorian|west|panel|70|shipped
1058|harbor|east|panel|91|pending
1232|acme|south|cable|81|paid
1207|cobalt|south|valve|89|paid
1224|birch|south|cable|62|held
1084|harbor|north|cable|15|pending
1335|ember|south|cable|79|pending
1339|acme|south|panel|55|held
1217|gale|south|frame|50|shipped
1489|birch|south|frame|91|held
1457|gale|north|cable|34|pending
1117|harbor|west|valve|22|paid
1449|ionic|east|rotor|66|held
1062|harbor|south|valve|70|held
1514|acme|north|rotor|70|pending
1049|harbor|south|gasket|24|shipped
1218|fulton|north|gasket|36|pending
1292|gale|south|frame|36|pending
1305|ionic|north|gasket|44|paid
1164|gale|east|pump|89|pending
1565|fulton|south|sensor|98|paid
1299|cobalt|west|sensor|30|paid
1312|ionic|south|pump|55|held
1273|dorian|east|frame|93|held
1456|acme|west|gasket|88|shipped
1572|ionic|west|gasket|94|pending
1383|acme|east|gasket|42|shipped
1326|fulton|east|panel|47|shipped
1320|ember|west|valve|92|pending
1343|acme|west|gasket|92|pending
1427|cobalt|west|sensor|60|shipped
1181|dorian|east|sensor|63|shipped
1043|harbor|south|sensor|74|pending
1158|harbor|east|panel|48|paid
1420|cobalt|east|cable|17|paid
1109|ember|east|sensor|39|held
1337|gale|east|sensor|68|paid
1051|harbor|south|rotor|45|pending
1194|ember|east|valve|29|held
1093|fulton|south|valve|99|shipped
1325|cobalt|south|pump|53|held
1498|gale|south|pump|20|pending
1404|acme|east|frame|67|paid
1524|acme|east|gasket|73|shipped
1471|ionic|east|rotor|77|paid
1170|dorian|south|valve|14|paid
1480|acme|north|sensor|12|shipped
1150|birch|west|panel|17|paid
1568|acme|east|valve|72|shipped
1412|gale|east|frame|85|pending
1291|cobalt|west|sensor|84|held
1048|harbor|west|gasket|68|pending
1440|fulton|east|gasket|16|paid
1510|juno|east|rotor|63|pending
1360|dorian|north|valve|57|paid
1350|juno|north|rotor|73|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, 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":"sensor","qty":74}},
{"tool":"cancel_order","args":{"order_id":1051}},
{"tool":"cancel_order","args":{"order_id":1069}},
{"tool":"restock","args":{"item":"cable","qty":95}}
]correctagentic.tools.deploy-v1conf 100% · 600ms · $0.028 · 405 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: gateway
- gateway: (none)
- notifier: gateway
- auth-svc: gateway, 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":"search"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 409ms · $0.044 · 814 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $588
- oscar: $766
- alpha: $669
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $392 from "alpha" to "delta"
2. pay $353 from "alpha" to "oscar"
3. pay $311 from "alpha" to "delta"
4. pay $225 from "oscar" to "alpha"
5. pay $133 from "delta" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"alpha","to":"delta","amount":392}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":76}},
{"tool":"transfer","args":{"from":"alpha","to":"oscar","amount":353}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":311}},
{"tool":"transfer","args":{"from":"alpha","to":"delta","amount":311}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":225}},
{"tool":"transfer","args":{"from":"delta","to":"oscar","amount":133}}
]correctagentic.tools.triage-v1conf 100% · 301ms · $0.059 · 1192 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → okafor
- infra → dubois
- auth → haddad
INCIDENTS:
1. "export file corrupted" (category: data, priority 6)
2. "API latency spikes" (category: infra, priority 9)
3. "API latency spikes" (category: infra, priority 9)
4. "dashboard shows stale numbers" (category: data, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "okafor"
}
}
]correctagentic.tools.context-load-v1anchorconf 100% · 505ms · $0.108 · 1065 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.deploy-v1anchorconf 100% · 626ms · $0.027 · 391 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% · 474ms · $0.048 · 919 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% · 719ms · $0.059 · 1204 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% · 401ms · $0.056 · 1339 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
251correctcode.trace.js-v1conf 100% · 350ms · $0.024 · 377 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 2) .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:
84correctcode.trace.python-v1conf 100% · 334ms · $0.020 · 306 tok
question
What does this Python program print?
```python
total = 0
v = 12
while total + v <= 97:
if v % 3 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
0correctcode.trace.nested-v1conf 100% · 1.8s · $0.045 · 1029 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
199correctcode.trace.js-v1conf 100% · 341ms · $0.027 · 506 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; const out = arr .map(n => n * 6) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
924correctcode.trace.nested-v1conf 100% · 411ms · $0.056 · 1330 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 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:
174correctcode.trace.python-v1conf 100% · 392ms · $0.023 · 377 tok
question
What does this Python program print?
```python
total = 0
v = 12
while total + v <= 54:
if v % 4 != 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:
0correctcode.trace.js-v1conf 100% · 346ms · $0.024 · 395 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10]; const out = arr .map(n => n * 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:
90correctcode.trace.python-v1conf 100% · 437ms · $0.022 · 360 tok
question
What does this Python program print?
```python
total = 0
v = 9
while total + v <= 47:
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:
42correctcode.trace.js-v1conf 100% · 872ms · $0.022 · 354 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 2) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150correctcode.trace.nested-v1conf 100% · 637ms · $0.035 · 727 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
72correctcode.trace.nested-v1conf 100% · 356ms · $0.045 · 1020 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 == 5 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:
168correctcode.trace.python-v1conf 100% · 322ms · $0.023 · 379 tok
question
What does this Python program print?
```python
total = 0
v = 4
while total + v <= 45:
if v % 5 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
39correctcode.trace.js-v1conf 100% · 329ms · $0.019 · 255 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
450correctcode.trace.python-v1conf 100% · 2.0s · $0.025 · 456 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 2
while total + v <= 67:
if v % 6 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
50correctcode.trace.nested-v1conf 100% · 451ms · $0.046 · 1046 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 == 6 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:
196correctcode.trace.js-v1conf 100% · 359ms · $0.024 · 379 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 5) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
270correctcode.trace.python-v1conf 100% · 397ms · $0.028 · 556 tok
question
What does this Python program print?
```python
total = 0
v = 1
while total + v <= 34:
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:
18correctcode.trace.js-v1conf 100% · 728ms · $0.023 · 396 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13]; 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:
54correctcode.trace.python-v1conf 100% · 279ms · $0.024 · 405 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 4
while total + v <= 84:
if v % 3 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
69correctcode.trace.nested-v1conf 100% · 263ms · $0.045 · 1020 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) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
141correctcode.trace.js-v1conf 100% · 244ms · $0.023 · 390 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 5) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
180correctcode.trace.nested-v1conf 100% · 522ms · $0.043 · 953 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
204correctcode.trace.python-v1conf 100% · 397ms · $0.031 · 629 tok
question
What does this Python program print?
```python
total = 0
v = 5
while total + v <= 81:
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:
69correctcode.trace.js-v1conf 100% · 458ms · $0.024 · 413 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
126correctcode.trace.nested-v1conf 100% · 708ms · $0.033 · 670 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
130correctcode.trace.python-v1anchorconf 100% · 1.4s · $0.021 · 316 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 418ms · $0.024 · 409 tok
model answer:
63correctcode.trace.nested-v1anchorconf 100% · 427ms · $0.053 · 1244 tok
model answer:
283correctcode.trace.python-v1anchorconf 100% · 387ms · $0.031 · 655 tok
model answer:
40instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 306ms · $0.041 · 915 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "drift" and the last word must be "quartz". 3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift through cedar gears, the old machine hums beside cedar wheels, awaiting silent quartzcorrectif.constraints.stack-v1conf 100% · 383ms · $0.041 · 943 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "ember" and the last word must be "flint". 3. Use the word "falcon" 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 crossed endless deserts while falcon guided travelers; falcon returned beyond mountains bearing flintcorrectif.format.acronym-v1conf 100% · 337ms · $0.016 · 186 tok
question
Take the third letter of each of these words, in order: tundra, prism, falcon, lumen, 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:
NILMScorrectif.format.repeat-v1conf 100% · 344ms · $0.018 · 271 tok
question
Write the word "comet" in capitalized form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
COMET-COMET-COMET-COMET-COMET-COMETcorrectif.constraints.stack-v1conf 100% · 858ms · $0.041 · 908 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "zephyr" and the last word must be "orbit". 3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr was an old brass machine whose worn gears hummed softly; nova marks adorned its frame, while nova sparks faded beneath a painted orbitcorrectif.format.repeat-v1conf 100% · 918ms · $0.017 · 234 tok
question
Write the word "falcon" in lowercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon_falcon_falconcorrectif.format.acronym-v1conf 100% · 476ms · $0.011 · 63 tok
question
Take the first letter of each of these words, in order: delta, nova, cedar, flint, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DNCFEcorrectif.constraints.stack-v1conf 100% · 415ms · $0.041 · 907 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "drift" and the last word must be "tundra". 3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift through neon streets, where quartz windows shimmer, taxis whisper, towers fade, and quartz moonlight cools the vast silent tundracorrectif.format.acronym-v1conf 100% · 356ms · $0.011 · 60 tok
question
Take the first letter of each of these words, in order: ember, tundra, cedar, falcon, 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:
ETCFPcorrectif.format.repeat-v1conf 100% · 820ms · $0.017 · 218 tok
question
Write the word "cedar" in uppercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR-CEDAR-CEDAR-CEDAR-CEDARcorrectif.format.acronym-v1conf 100% · 417ms · $0.015 · 158 tok
question
Take the second letter of each of these words, in order: ember, comet, falcon, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MOAEcorrectif.constraints.stack-v1conf 100% · 387ms · $0.040 · 896 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "tundra" and the last word must be "comet". 3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra waves carry falcon while falcon circles above and falcon follows foam toward cometcorrectif.format.repeat-v1conf 100% · 542ms · $0.015 · 182 tok
question
Write the word "lumen" in lowercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen/lumen/lumen/lumen/lumencorrectif.format.acronym-v1conf 100% · 419ms · $0.016 · 185 tok
question
Take the second letter of each of these words, in order: flint, prism, lumen, orbit, falcon, 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:
LRURAOcorrectif.format.acronym-v1conf 100% · 382ms · $0.016 · 185 tok
question
Take the second letter of each of these words, in order: quartz, echo, ember, tundra, cedar, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UCMUELcorrectif.constraints.stack-v1conf 100% · 529ms · $0.037 · 809 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "flint" and the last word must be "comet". 3. Use the word "falcon" 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 lights shimmer over silent streets as a falcon circles towers and another falcon watches midnight traffic beneath the falling cometcorrectif.format.repeat-v1conf 100% · 313ms · $0.015 · 169 tok
question
Write the word "delta" in uppercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DELTA_DELTA_DELTA_DELTA_DELTA_DELTAcorrectif.format.repeat-v1conf 100% · 502ms · $0.021 · 350 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Zephyr/Zephyr/Zephyr/Zephyr/Zephyr/Zephyrcorrectif.constraints.stack-v1conf 100% · 424ms · $0.034 · 699 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "falcon" and the last word must be "delta". 3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon glides above the sea, where cedar boats pass cedar shores toward a shining deltacorrectif.format.acronym-v1conf 100% · 286ms · $0.011 · 63 tok
question
Take the first letter of each of these words, in order: echo, falcon, lumen, cedar, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EFLCZcorrectif.constraints.stack-v1conf 100% · 576ms · $0.046 · 1084 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "quartz" and the last word must be "flint". 3. Use the word "comet" 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 marked our long passage across silent deserts and cold seas while comet light guided us until another comet faded above distant flintcorrectif.format.repeat-v1conf 100% · 305ms · $0.016 · 198 tok
question
Write the word "basalt" in lowercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
basalt/basalt/basalt/basalt/basaltcorrectif.format.acronym-v1conf 100% · 682ms · $0.012 · 91 tok
question
Take the first letter of each of these words, in order: basalt, drift, nova, falcon, delta, 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:
BDNFDEcorrectif.format.repeat-v1conf 100% · 506ms · $0.018 · 272 tok
question
Write the word "ember" in lowercase form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember_ember_ember_ember_ember_ember_ember_ember_embercorrectif.constraints.stack-v1conf 100% · 400ms · $0.036 · 774 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "ember" and the last word must be "prism". 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 we wandered across silent deserts and endless seas beneath nova light until another nova guided our weary hearts homeward through a prismcorrectif.format.acronym-v1conf 100% · 603ms · $0.015 · 161 tok
question
Take the second letter of each of these words, in order: lumen, nova, orbit, 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:
UOROcorrectif.constraints.stack-v1anchorconf 100% · 309ms · $0.053 · 1304 tok
model answer:
drift through midnight streets where lumen signs shimmer, lumen windows glow, and lumen taxis hum beneath towers, while sleepless crowds circle like stars orbitcorrectif.format.repeat-v1anchorconf 100% · 1.0s · $0.023 · 406 tok
model answer:
Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echocorrectif.format.repeat-v1anchorconf 100% · 279ms · $0.017 · 222 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 528ms · $0.011 · 63 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 375ms · $0.011 · 57 tok
question
Name the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 349ms · $0.011 · 57 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 593ms · $0.011 · 66 tok
question
What is the capital of Myanmar? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 390ms · $0.011 · 57 tok
question
Identify the Swiss capital (de facto). Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 306ms · $0.011 · 60 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% · 2.6s · $0.011 · 60 tok
question
Name the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 429ms · $0.011 · 69 tok
question
Identify the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 327ms · $0.011 · 60 tok
question
What is the element whose symbol is Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 344ms · $0.011 · 60 tok
question
Name the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 325ms · $0.011 · 57 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% · 562ms · $0.011 · 60 tok
question
Name the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 433ms · $0.011 · 66 tok
question
Identify 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% · 439ms · $0.011 · 57 tok
question
What is the Brazilian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 3.5s · $0.011 · 57 tok
question
What is the capital of Switzerland? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 271ms · $0.011 · 57 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 350ms · $0.011 · 60 tok
question
Identify the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 1.9s · $0.011 · 60 tok
question
Identify the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 447ms · $0.011 · 66 tok
question
What is the writer of the novel "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 398ms · $0.011 · 60 tok
question
Name the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 382ms · $0.011 · 57 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 294ms · $0.011 · 66 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% · 359ms · $0.011 · 57 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% · 598ms · $0.011 · 60 tok
question
What is the element whose symbol is Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 2.8s · $0.011 · 60 tok
question
Identify the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 370ms · $0.011 · 57 tok
question
Identify 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-v2anchorconf 100% · 598ms · $0.011 · 57 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 323ms · $0.011 · 60 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2anchorconf 100% · 426ms · $0.011 · 60 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 414ms · $0.011 · 57 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 354ms · $0.011 · 60 tok
model answer:
Antimonymath 30/30 correct
correctmath.counterfactual.base-v1conf 100% · 476ms · $0.030 · 602 tok
question
Work strictly in base 8. Multiply the base-8 numbers 70 and 51. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4370correctmath.chained.pipeline-v1conf 100% · 439ms · $0.018 · 240 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 34 × 24. Step 2: Q = P × 3 − 560. Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
274correctmath.percent.chain-v2conf 100% · 417ms · $0.022 · 348 tok
question
An inventory starts at 93000 units. Each pallet weighs about 101 grams more when wet. In the first month the inventory grows by 12%. The warehouse was painted 134 years ago. The next month it shrinks by 43%, and the month after it grows by 30%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
77182.56correctmath.algebra.system-v2conf 100% · 669ms · $0.032 · 702 tok
question
Solve the system, then answer the derived question. 6x + 6y = 426 9x − 10y = 31 What is the value of 2x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
14correctmath.arith.chain-v2conf 100% · 397ms · $0.025 · 470 tok
question
Calculate the following. Show your reasoning, then answer. (((29 × 50 − 613) × 5 + 7130) − 58 × 51) × 4 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
33428correctmath.counterfactual.base-v1conf 100% · 3.2s · $0.040 · 872 tok
question
Work strictly in base 11. Multiply the base-11 numbers 72 and 75. 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:
495Acorrectmath.chained.pipeline-v1conf 100% · 441ms · $0.017 · 212 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 30 × 23. Step 2: Q = P × 8 − 192. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1776correctmath.percent.chain-v2conf 100% · 412ms · $0.020 · 290 tok
question
An inventory starts at 6000 units. The warehouse was painted 94 years ago. In the first month the inventory grows by 12%. The warehouse was painted 95 years ago. The next month it shrinks by 45%, and the month after it grows by 34%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4952.64correctmath.algebra.system-v2conf 100% · 706ms · $0.028 · 552 tok
question
Solve the system, then answer the derived question. 6x + 6y = 126 2x − 9y = -365 What is the value of 5x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-191correctmath.arith.chain-v2conf 100% · 2.8s · $0.018 · 258 tok
question
Evaluate the expression below and give the result. (((28 × 64 − 166) × 5 + 5022) − 73 × 11) × 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:
61745correctmath.chained.pipeline-v1conf 100% · 303ms · $0.027 · 522 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 71 × 28. Step 2: Q = P × 9 − 657. 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:
2157correctmath.counterfactual.base-v1conf 100% · 432ms · $0.021 · 353 tok
question
Work strictly in base 7. Multiply the base-7 numbers 63 and 55. 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:
5151correctmath.percent.chain-v2conf 100% · 359ms · $0.026 · 467 tok
question
An inventory starts at 32000 units. The delivery van has a 9-liter fuel tank. In the first month the inventory grows by 29%. A rival firm shipped 89 unrelated parcels the same week. The next month it shrinks by 42%, and the month after it grows by 14%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
27294.34correctmath.chained.pipeline-v1conf 100% · 3.1s · $0.027 · 529 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 66 × 27. Step 2: Q = P × 3 − 569. 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:
1195correctmath.algebra.system-v2conf 100% · 530ms · $0.030 · 629 tok
question
Solve the system, then answer the derived question. 9x + 4y = 206 2x − 2y = -64 What is the value of 3x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-210correctmath.arith.chain-v2conf 100% · 339ms · $0.019 · 277 tok
question
Compute the value of the following expression. (((88 × 65 − 202) × 4 + 7824) − 77 × 63) × 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:
175315correctmath.counterfactual.base-v1conf 100% · 3.1s · $0.018 · 270 tok
question
Work strictly in base 9. Add the base-9 numbers 1347 and 2441. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3788correctmath.percent.chain-v2conf 100% · 496ms · $0.020 · 302 tok
question
An inventory starts at 13000 units. The warehouse was painted 22 years ago. In the first month the inventory grows by 41%. The company was founded 105 kilometers from the port. The next month it shrinks by 10%, and the month after it grows by 27%. 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:
20951.19correctmath.algebra.system-v2conf 100% · 366ms · $0.027 · 522 tok
question
Solve the system, then answer the derived question. 8x + 4y = -204 4x − 4y = 36 What is the value of 4x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
82correctmath.arith.chain-v2conf 100% · 507ms · $0.030 · 619 tok
question
Work out the exact value of this expression. (((29 × 75 − 236) × 4 + 1148) − 53 × 83) × 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:
22525correctmath.chained.pipeline-v1conf 100% · 433ms · $0.018 · 228 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 54 × 14. Step 2: Q = P × 4 − 386. 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:
294correctmath.counterfactual.base-v1conf 100% · 338ms · $0.029 · 563 tok
question
Work strictly in base 13. Multiply the base-13 numbers 32 and 3A. 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:
BB7correctmath.percent.chain-v2conf 100% · 372ms · $0.023 · 386 tok
question
An inventory starts at 17000 units. Each pallet weighs about 163 grams more when wet. In the first month the inventory grows by 23%. The delivery van has a 54-liter fuel tank. The next month it shrinks by 31%, and the month after it grows by 6%. 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:
15293.57correctmath.algebra.system-v2conf 100% · 470ms · $0.026 · 515 tok
question
Solve the system, then answer the derived question. 3x + 4y = -71 5x − 7y = -255 What is the value of 5x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-245correctmath.arith.chain-v2conf 100% · 379ms · $0.030 · 614 tok
question
Calculate the following. Show your reasoning, then answer. (((96 × 23 − 978) × 4 + 3365) − 59 × 71) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
8192correctmath.chained.pipeline-v1conf 100% · 322ms · $0.017 · 223 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 25 × 46. Step 2: Q = P × 9 − 661. 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:
2423correctmath.counterfactual.base-v1anchorconf 100% · 360ms · $0.031 · 623 tok
model answer:
11236correctmath.percent.chain-v2anchorconf 100% · 365ms · $0.032 · 649 tok
model answer:
61896.522correctmath.algebra.system-v2anchorconf 100% · 420ms · $0.028 · 552 tok
model answer:
87correctmath.arith.chain-v2anchorconf 100% · 490ms · $0.019 · 291 tok
model answer:
108153multilingual 30/30 correct
correctmultilingual.numword-v2conf 100% · 345ms · $0.017 · 221 tok
question
Compute 190 + 75, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent soixante-cinqcorrectmultilingual.wordnum-v1conf 100% · 347ms · $0.017 · 210 tok
question
A number is written in French: « neuf cent quatre-vingt-douze ». Another is written in Spanish: « doscientos cuarenta 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:
1240correctmultilingual.wordnum-v1conf 100% · 374ms · $0.013 · 105 tok
question
A number is written in French: « trois cent vingt et un ». Another is written in Spanish: « seiscientos treinta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-313correctmultilingual.wordnum-v1conf 100% · 2.4s · $0.013 · 114 tok
question
A number is written in French: « six cent neuf ». Another is written in Spanish: « quinientos veintiséis ». 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:
1135correctmultilingual.numword-v2conf 100% · 1.6s · $0.017 · 222 tok
question
Compute 65 + 399, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent soixante-quatrecorrectmultilingual.numword-v2conf 100% · 659ms · $0.015 · 189 tok
question
Compute 440 + 442, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos ochenta y doscorrectmultilingual.wordnum-v1conf 100% · 302ms · $0.011 · 60 tok
question
A number is written in French: « cent quatre-vingt-cinq ». Another is written in Spanish: « doscientos setenta 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:
-94correctmultilingual.wordnum-v1conf 100% · 352ms · $0.013 · 110 tok
question
A number is written in French: « deux cent trois ». Another is written in Spanish: « ochocientos treinta y cinco ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-632correctmultilingual.numword-v2conf 100% · 260ms · $0.016 · 197 tok
question
Compute 293 + 311, 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 cuatrocorrectmultilingual.numword-v2conf 100% · 242ms · $0.015 · 178 tok
question
Compute 54 + 448, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos doscorrectmultilingual.wordnum-v1conf 100% · 404ms · $0.011 · 60 tok
question
A number is written in French: « trois cent cinquante-sept ». Another is written in Spanish: « cuatrocientos dos ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
759correctmultilingual.numword-v2conf 100% · 444ms · $0.016 · 204 tok
question
Compute 436 + 176, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent douzecorrectmultilingual.wordnum-v1conf 100% · 616ms · $0.011 · 60 tok
question
A number is written in French: « cinq cent vingt-trois ». Another is written in Spanish: « doscientos cincuenta ». 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:
773correctmultilingual.numword-v2conf 100% · 346ms · $0.016 · 198 tok
question
Compute 48 + 138, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ciento ochenta y seiscorrectmultilingual.wordnum-v1conf 100% · 418ms · $0.014 · 144 tok
question
A number is written in French: « cinq cent soixante-dix-neuf ». Another is written in Spanish: « quinientos setenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1155correctmultilingual.numword-v2conf 100% · 699ms · $0.018 · 273 tok
question
Compute 438 + 345, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
sept cent quatre-vingt-troiscorrectmultilingual.wordnum-v1conf 100% · 349ms · $0.012 · 95 tok
question
A number is written in French: « cent cinquante-cinq ». Another is written in Spanish: « ciento cincuenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
310correctmultilingual.wordnum-v1conf 100% · 271ms · $0.011 · 60 tok
question
A number is written in French: « huit cent quatre-vingt-douze ». Another is written in Spanish: « trescientos ochenta ». 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:
512correctmultilingual.numword-v2conf 100% · 612ms · $0.015 · 188 tok
question
Compute 157 + 252, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos nuevecorrectmultilingual.numword-v2conf 100% · 370ms · $0.015 · 173 tok
question
Compute 52 + 451, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos trescorrectmultilingual.numword-v2conf 100% · 438ms · $0.016 · 207 tok
question
Compute 471 + 51, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos veintidóscorrectmultilingual.wordnum-v1conf 100% · 490ms · $0.011 · 60 tok
question
A number is written in French: « soixante-deux ». Another is written in Spanish: « quinientos veintisiete ». 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:
589correctmultilingual.numword-v2conf 100% · 567ms · $0.015 · 188 tok
question
Compute 252 + 178, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent trentecorrectmultilingual.wordnum-v1conf 100% · 532ms · $0.011 · 60 tok
question
A number is written in French: « cinq cent quarante-cinq ». Another is written in Spanish: « setenta y seis ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
469correctmultilingual.numword-v2conf 100% · 595ms · $0.017 · 228 tok
question
Compute 209 + 211, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent vingtcorrectmultilingual.wordnum-v1conf 100% · 320ms · $0.013 · 96 tok
question
A number is written in French: « quatre cent cinquante-trois ». Another is written in Spanish: « trescientos sesenta y tres ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
816correctmultilingual.wordnum-v1anchorconf 100% · 321ms · $0.012 · 92 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 397ms · $0.017 · 245 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 682ms · $0.016 · 192 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 458ms · $0.013 · 104 tok
model answer:
762reasoning 30/30 correct
correctreasoning.deduction.position-v1conf 100% · 351ms · $0.011 · 57 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 3 in the queue. Farah is directly ahead of Sami. Sami is directly ahead of Goran. 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:
Samicorrectreasoning.deduction.order-v2conf 100% · 459ms · $0.019 · 244 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Goran. Quinn is heavier than Priya. Nadir is heavier than Liam. Quinn is heavier than Goran. Quinn is heavier than Goran. Emil is faster than everyone here, but Emil is not being ranked. Nadir is heavier than Quinn. Chen is heavier than Mona. Liam is heavier than Quinn. Mona is heavier than Nadir. 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.position-v1conf 100% · 400ms · $0.014 · 119 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Sami. Sami is number 3 in the queue. Ines is directly ahead of Nadir. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.order-v2conf 100% · 287ms · $0.021 · 301 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Kira. Kira is faster than Rosa. Farah is faster than Nadir. Hana is faster than Farah. Ines is heavier than everyone here, but Ines is not being ranked. Kira is faster than Chen. Nadir is faster than Kira. Hana is faster than Kira. Chen is faster than Rosa. Priya is faster than Hana. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1conf 100% · 451ms · $0.012 · 60 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Ines. Ines is directly ahead of Tessa. Quinn is number 4 in the queue. Tessa is directly ahead of Quinn. 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% · 623ms · $0.023 · 371 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is faster than everyone here, but Nadir is not being ranked. Chen is heavier than Quinn. Ines is heavier than Priya. Liam is heavier than Ines. Quinn is heavier than Liam. Liam is heavier than Goran. Goran is heavier than Kira. Priya is heavier than Kira. Priya is heavier than Goran. Priya is heavier than Kira. 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 314ms · $0.017 · 208 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Bruno. Dara is directly ahead of Goran. Hana is number 1 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 442ms · $0.013 · 112 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Rosa. Rosa is directly ahead of Bruno. Nadir is number 1 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% · 316ms · $0.020 · 268 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is older than everyone here, but Rosa is not being ranked. Tessa is heavier than Chen. Farah is heavier than Tessa. Alice is heavier than Farah. Tessa is heavier than Priya. Priya is heavier than Nadir. Farah is heavier than Nadir. Alice is heavier than Priya. Chen is heavier than Hana. Nadir is heavier than Chen. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.order-v2conf 100% · 771ms · $0.020 · 282 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Mona. Ola is taller than Sami. Emil is taller than Ola. Mona is taller than Hana. Jonas is older than everyone here, but Jonas is not being ranked. Bruno is taller than Ola. Emil is taller than Hana. Ola is taller than Mona. Emil is taller than Bruno. Dara is taller than Emil. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1conf 100% · 500ms · $0.012 · 57 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Bruno. Kira is number 4 in the queue. Bruno is directly ahead of Kira. Rosa is directly ahead of Quinn. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.order-v2conf 100% · 405ms · $0.023 · 345 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Ines. Goran is older than Rosa. Priya is older than Goran. Priya is older than Tessa. Ines is older than Sami. Jonas is heavier than everyone here, but Jonas is not being ranked. Ines is older than Tessa. Ines is older than Tessa. Sami is older than Kira. Kira is older than Tessa. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.position-v1conf 100% · 340ms · $0.018 · 247 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 2 in the queue. Ola is directly ahead of Farah. Liam is directly ahead of Mona. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 100% · 401ms · $0.024 · 378 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Rosa is faster than Ines. Goran is faster than Rosa. Sami is faster than Goran. Bruno is faster than Hana. Hana is faster than Rosa. Chen is older than everyone here, but Chen is not being ranked. Hana is faster than Ines. Dara is faster than Bruno. Bruno is faster than Ines. Hana 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:
Rosacorrectreasoning.deduction.position-v1conf 100% · 1.3s · $0.011 · 57 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Hana. Liam is directly ahead of Dara. Hana is number 3 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.order-v2conf 100% · 1.0s · $0.022 · 341 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Liam. Kira is faster than everyone here, but Kira is not being ranked. Liam is taller than Ola. Ines is taller than Emil. Chen is taller than Goran. Ines is taller than Liam. Mona is taller than Chen. Goran is taller than Ines. Ines is taller than Liam. Mona is taller 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:
Emilcorrectreasoning.deduction.order-v2conf 100% · 4.2s · $0.021 · 317 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Liam is older than Ines. Bruno is older than Liam. Liam is older than Farah. Ines is older than Sami. Ola is older than Bruno. Rosa is faster than everyone here, but Rosa is not being ranked. Mona is older than Ola. Mona is older than Ines. Liam is older than Sami. Sami is older than Farah. 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.position-v1conf 100% · 551ms · $0.011 · 60 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Dara. Mona is number 1 in the queue. Dara is directly ahead of Goran. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 519ms · $0.021 · 308 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Farah. Hana is taller than Quinn. Ola is taller than Quinn. Jonas is taller than Quinn. Hana is taller than Jonas. Mona is taller than Liam. Ola is taller than Hana. Farah is taller than Ola. Priya is older than everyone here, but Priya is not being ranked. Mona is taller than Jonas. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 454ms · $0.012 · 60 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Tessa. Bruno is directly ahead of Quinn. Tessa is number 4 in the queue. Emil is directly ahead of Bruno. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.order-v2conf 100% · 496ms · $0.019 · 245 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Priya. Nadir is faster than everyone here, but Nadir is not being ranked. Mona is older than Sami. Mona is older than Liam. Hana is older than Mona. Sami is older than Priya. Priya is older than Liam. Chen is older than Priya. Chen is older than Hana. Emil is older than Chen. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.position-v1conf 100% · 387ms · $0.017 · 214 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Jonas. Nadir is directly ahead of Goran. Goran is number 2 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:
Jonascorrectreasoning.deduction.position-v1conf 100% · 650ms · $0.011 · 60 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 2 in the queue. Tessa is directly ahead of Goran. Bruno is directly ahead of Chen. 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 359ms · $0.020 · 282 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Emil. Farah is taller than Mona. Farah is taller than Hana. Hana is taller than Mona. Hana is taller than Quinn. Mona is taller than Quinn. Sami is heavier than everyone here, but Sami is not being ranked. Emil is taller than Dara. Dara is taller than Hana. Quinn is taller than Jonas. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 264ms · $0.017 · 223 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Rosa. Ola is directly ahead of Hana. Hana is number 2 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 277ms · $0.019 · 250 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is faster than everyone here, but Kira is not being ranked. Emil is older than Ola. Farah is older than Chen. Ola is older than Farah. Mona is older than Ola. Rosa is older than Mona. Chen is older than Goran. Emil is older than Rosa. Farah is older than Goran. Emil is older than Ola. 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:
Rosacorrectreasoning.deduction.order-v2anchorconf 100% · 871ms · $0.023 · 376 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 362ms · $0.011 · 57 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 322ms · $0.024 · 382 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 274ms · $0.018 · 245 tok
model answer:
Farahterminal 30/30 correct
correctterminal.exit.chain-v1conf 100% · 358ms · $0.019 · 205 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 false && echo C || echo D false && 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.fs.tree-v1conf 100% · 423ms · $0.035 · 642 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/docs`): ``` /proj/assets/setup.md /proj/conf/main.txt /proj/conf/notes.log /proj/index.txt /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 mkdir -p conf/logs-3 touch assets/report-6.cfg mv conf/notes.log ./ touch assets/setup-4.log touch main-6.md mkdir -p src-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/report-6.cfg
/proj/assets/setup-4.log
/proj/assets/setup.md
/proj/conf/main.txt
/proj/index.txt
/proj/main-6.md
/proj/notes.log
/proj/todo.mdcorrectterminal.pipeline.predict-v1conf 100% · 296ms · $0.016 · 118 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
eli,legal,18,50
cy,ops,16,59
pam,hr,71,40
dev,eng,86,31
ned,hr,75,87
lou,legal,53,19
oli,legal,93,67
fay,ops,117,21
bo,legal,51,75
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' 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:
146correctterminal.exit.chain-v1conf 100% · 420ms · $0.021 · 254 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B false && 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
F
Z
exit:0correctterminal.fs.tree-v1conf 100% · 1.0s · $0.036 · 678 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/conf`): ``` /proj/assets/draft.txt /proj/conf/index.txt /proj/conf/main.txt /proj/report.md /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 mv todo.md conf/ mkdir -p assets/conf-1 touch src/todo-5.log cd assets mkdir -p ../../proj/assets-2 touch report-2.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft.txt
/proj/assets/report-2.md
/proj/conf/index.txt
/proj/conf/main.txt
/proj/conf/todo.md
/proj/report.md
/proj/src/todo-5.logcorrectterminal.pipeline.predict-v1conf 100% · 284ms · $0.019 · 176 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
dev,legal,28,42
eli,legal,42,32
kim,legal,31,38
pam,ops,73,83
jon,ops,48,39
hal,ops,88,69
ned,hr,73,74
gus,hr,14,45
ivy,ops,116,57
fay,ops,46,71
bo,eng,46,57
cy,hr,76,81
ana,eng,31,63
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 76 { 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% · 459ms · $0.020 · 228 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
H
exit:1correctterminal.fs.tree-v1conf 100% · 364ms · $0.040 · 783 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/assets`): ``` /proj/assets/report.md /proj/build/main.cfg /proj/docs/notes.txt /proj/setup.cfg /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch docs/report-4.md rm todo.log mkdir -p build/src-3 cd build/src-3 mkdir -p ../../../proj/build/logs-2 cp ../../../proj/assets/report.md ../../../proj/build/ touch ../../../proj/assets/util-2.txt cd ../../../proj rm docs/notes.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/assets/report.md
/proj/assets/util-2.txt
/proj/build/main.cfg
/proj/build/report.md
/proj/docs/report-4.md
/proj/setup.cfgcorrectterminal.exit.chain-v1conf 100% · 438ms · $0.020 · 224 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 false && 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-v1conf 100% · 423ms · $0.021 · 227 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,legal,88,24 pam,legal,89,95 jon,ops,107,48 hal,legal,4,61 cy,hr,29,57 kim,sales,111,76 lou,hr,49,62 ned,hr,16,56 max,eng,104,66 fay,hr,71,45 oli,eng,53,13 ana,hr,7,97 eli,eng,60,94 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' 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:
eli,eng,60,94
max,eng,104,66correctterminal.fs.tree-v1conf 100% · 743ms · $0.042 · 831 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/assets`): ``` /proj/assets/index.cfg /proj/build/todo.log /proj/conf/draft.txt /proj/main.md /proj/notes.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf/build-7 cd . cp conf/draft.txt build/ mkdir -p conf/build-4 mv build/todo.log build/util-2.log mv main.md notes-9.log cd conf cp ../../proj/notes-9.log build-7/ ``` 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.cfg
/proj/build/draft.txt
/proj/build/util-2.log
/proj/conf/build-7/notes-9.log
/proj/conf/draft.txt
/proj/notes-9.log
/proj/notes.mdcorrectterminal.pipeline.predict-v1conf 100% · 421ms · $0.025 · 356 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,sales,82,81 ned,legal,43,88 fay,sales,75,28 cy,legal,118,49 oli,legal,109,46 ivy,legal,38,33 max,legal,94,92 bo,hr,101,80 ana,legal,68,18 pam,hr,28,19 hal,eng,89,12 lou,legal,44,60 kim,legal,11,56 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,68
cy,118
ivy,38correctterminal.exit.chain-v1conf 100% · 1.1s · $0.021 · 247 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q amber notes.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-v1conf 100% · 1.1s · $0.018 · 161 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
gus,sales,60,16
hal,legal,115,74
jon,sales,25,99
oli,eng,66,29
eli,sales,24,85
cy,hr,44,15
ivy,sales,119,83
pam,eng,25,38
ned,eng,110,92
fay,ops,37,99
lou,hr,98,10
```
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:
228correctterminal.fs.tree-v1conf 100% · 323ms · $0.030 · 512 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/conf`): ``` /proj/assets/draft.md /proj/assets/notes.md /proj/assets/report.txt /proj/index.txt /proj/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch assets/report-9.cfg mkdir -p docs/assets-5 cd docs/assets-5 rm ../../../proj/assets/report.txt cd ../../../proj rm setup.md mv index.txt setup-2.log rm assets/report-9.cfg mkdir -p src-1 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft.md
/proj/assets/notes.md
/proj/setup-2.logcorrectterminal.fs.tree-v1conf 100% · 388ms · $0.046 · 993 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/logs`): ``` /proj/build/report.cfg /proj/index.cfg /proj/logs/main.cfg /proj/src/setup.md /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p build/docs-1 cp logs/main.cfg src/ rm util.log mkdir -p build/docs-1/src-1 rm src/main.cfg mv build/report.cfg 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/report.cfg
/proj/index.cfg
/proj/logs/main.cfg
/proj/src/setup.mdcorrectterminal.exit.chain-v1conf 100% · 464ms · $0.015 · 93 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D false && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 567ms · $0.014 · 63 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,hr,5,37
pam,hr,42,41
cy,hr,46,69
dev,hr,87,10
eli,sales,91,91
bo,hr,30,81
hal,ops,61,11
oli,ops,84,79
kim,hr,111,35
ana,legal,13,72
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
145correctterminal.fs.tree-v1conf 100% · 298ms · $0.031 · 545 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/build`): ``` /proj/conf/util.cfg /proj/logs/main.log /proj/logs/report.log /proj/notes.log /proj/setup.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv setup.log logs/ mkdir -p conf-5 rm notes.log rm logs/main.log mkdir -p docs-2 cd conf-5 touch ../../proj/todo-8.txt cd ../../proj/docs-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/util.cfg
/proj/logs/report.log
/proj/logs/setup.log
/proj/todo-8.txtcorrectterminal.exit.chain-v1conf 100% · 359ms · $0.023 · 319 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 false && echo A || echo B grep -q dune notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f tmp.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
H
exit:1correctterminal.exit.chain-v1conf 100% · 586ms · $0.023 · 305 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f tmp.txt && echo E || echo F test -f data.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 565ms · $0.023 · 303 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,sales,10,23 bo,sales,115,68 ned,ops,25,78 hal,ops,85,41 jon,sales,56,21 fay,sales,36,67 lou,sales,43,18 kim,hr,79,78 max,hr,50,46 eli,legal,14,66 gus,ops,71,34 ana,eng,55,79 ivy,legal,10,44 oli,eng,17,26 ``` 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:
lou,sales,43,18
jon,sales,56,21
bo,sales,115,68correctterminal.fs.tree-v1conf 100% · 327ms · $0.054 · 1186 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/assets`): ``` /proj/build/draft.txt /proj/build/report.cfg /proj/conf/index.log /proj/main.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 conf/docs-4 mkdir -p build/src-7 cd conf cp ../../proj/build/report.cfg ./ mv ../../proj/build/draft.txt ../../proj/build/report-5.log cd ../../proj/build/src-7 cp ../../../proj/build/report-5.log ../../../proj/conf/ mkdir -p ../../../proj/build/logs-3 touch report-2.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/report-5.log
/proj/build/report.cfg
/proj/build/src-7/report-2.txt
/proj/conf/index.log
/proj/conf/report-5.log
/proj/conf/report.cfg
/proj/main.log
/proj/setup.cfgcorrectterminal.pipeline.predict-v1conf 100% · 312ms · $0.018 · 157 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
eli,legal,110,64
bo,legal,100,54
ned,hr,83,41
hal,legal,25,85
ivy,legal,10,44
ana,eng,10,77
jon,hr,63,88
max,sales,30,44
lou,legal,32,75
fay,hr,3,27
pam,legal,50,29
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' 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:
149correctterminal.exit.chain-v1conf 100% · 302ms · $0.024 · 335 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, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
H
exit:1correctterminal.fs.tree-v1conf 100% · 361ms · $0.040 · 777 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/docs`, `/proj/src`): ``` /proj/logs/draft.log /proj/logs/notes.txt /proj/main.log /proj/setup.cfg /proj/src/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm src/todo.cfg cd . cp logs/notes.txt src/ cd src touch ../../proj/docs/draft-2.md cd . mv ../../proj/docs/draft-2.md ../../proj/docs/setup-3.cfg cd ../../proj cp docs/setup-3.cfg src/ cd src mkdir -p ../../proj/logs/docs-6 cd ../../proj rm logs/notes.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/setup-3.cfg
/proj/logs/draft.log
/proj/main.log
/proj/setup.cfg
/proj/src/notes.txt
/proj/src/setup-3.cfgcorrectterminal.exit.chain-v1anchorconf 100% · 318ms · $0.023 · 308 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 326ms · $0.022 · 292 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.fs.tree-v1anchorconf 100% · 627ms · $0.038 · 745 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.pipeline.predict-v1anchorconf 100% · 290ms · $0.019 · 164 tok
model answer:
1vision ocr 28/30 correct
correctvision.ocr.table-read-v1conf 100% · 568ms · $0.023 · 102 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:
90correctvision.ocr.code-hunt-v1conf 99% · 490ms · $0.024 · 122 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:
XMAJRRTcorrectvision.ocr.code-hunt-v1conf 99% · 540ms · $0.024 · 107 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:
3UYA4VENcorrectvision.ocr.table-read-v1conf 100% · 577ms · $0.023 · 103 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:
140correctvision.ocr.table-read-v1conf 100% · 1.7s · $0.024 · 131 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:
175correctvision.ocr.code-hunt-v1conf 99% · 503ms · $0.023 · 87 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:
PFHHFCcorrectvision.ocr.table-read-v1conf 100% · 634ms · $0.024 · 122 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:
83correctvision.ocr.table-read-v1conf 100% · 292ms · $0.028 · 252 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:
37wrongvision.ocr.code-hunt-v1conf 99% · 407ms · $0.023 · 103 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:
3VVN73Mcorrectvision.ocr.code-hunt-v1conf 99% · 307ms · $0.026 · 179 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:
EATCNRcorrectvision.ocr.table-read-v1conf 100% · 654ms · $0.026 · 186 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:
46correctvision.ocr.code-hunt-v1conf 99% · 336ms · $0.022 · 69 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:
34EN4UXcorrectvision.ocr.table-read-v1conf 100% · 290ms · $0.024 · 108 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:
84correctvision.ocr.code-hunt-v1conf 99% · 405ms · $0.023 · 104 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:
N4RTKCTRcorrectvision.ocr.table-read-v1conf 100% · 421ms · $0.024 · 131 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:
192correctvision.ocr.code-hunt-v1conf 99% · 598ms · $0.022 · 72 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:
YCX7NEJ7correctvision.ocr.table-read-v1conf 100% · 377ms · $0.023 · 94 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:
92correctvision.ocr.code-hunt-v1conf 100% · 290ms · $0.023 · 95 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:
FP99PJNcorrectvision.ocr.table-read-v1conf 100% · 428ms · $0.026 · 167 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:
151correctvision.ocr.code-hunt-v1conf 99% · 689ms · $0.022 · 69 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:
TU9MMTNVcorrectvision.ocr.table-read-v1conf 100% · 457ms · $0.024 · 134 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:
59wrongvision.ocr.code-hunt-v1conf 99% · 501ms · $0.023 · 93 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:
UHMMHJYcorrectvision.ocr.table-read-v1conf 100% · 294ms · $0.024 · 125 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:
79correctvision.ocr.code-hunt-v1conf 99% · 321ms · $0.023 · 90 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:
YY4MNPcorrectvision.ocr.code-hunt-v1conf 99% · 459ms · $0.025 · 149 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:
MCU7TRcorrectvision.ocr.table-read-v1conf 100% · 336ms · $0.023 · 85 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:
90correctvision.ocr.table-read-v1anchorconf 100% · 2.2s · $0.024 · 127 tok
model answer:
25correctvision.ocr.code-hunt-v1anchorconf 99% · 288ms · $0.027 · 223 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 641ms · $0.022 · 60 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 99% · 1.0s · $0.025 · 135 tok
model answer:
YH9E4AWPRun history
- 2026-08-05v0.2.0index_fit812
- 2026-08-05v0.2.0index_fit812
- 2026-08-05v0.2.0index_fit812
- 2026-08-05v0.2.0index_fit813
- 2026-08-05v0.2.0index_fit813