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OpenAI: GPT-5.6 Luna
openai/gpt-5.6-luna · openai · context 1 050 000 · in $0.100/1M · out $0.600/1M
Global Index
762
95% CI [716–808] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 831 [735–927] | 0.813 | 0.83 | 0.97 | 0.038 | 405ms | $0.278 | |
| code | 809 [682–936] | 0.743 | 0.97 | 0.97 | 0.038 | 394ms | $0.159 | |
| instruction following | 836 [706–966] | 0.780 | 0.78 | 1.00 | 0.000 | 405ms | $0.154 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 406ms | $0.039 | |
| math | 773 [616–930] | 0.683 | 0.97 | 0.97 | 0.038 | 396ms | $0.092 | |
| multilingual | 819 [654–983] | 0.698 | 1.00 | 1.00 | 0.000 | 382ms | $0.057 | |
| reasoning | 795 [649–941] | 0.712 | 1.00 | 0.97 | 0.038 | 384ms | $0.092 | |
| terminal | 800 [699–901] | 0.778 | 0.98 | 0.93 | 0.077 | 341ms | $0.161 | |
| vision ocr | 472 [348–596] | 0.394 | 0.97 | 0.84 | 0.192 | 486ms | $0.141 |
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 29/30 correct
correctagentic.tools.ledger-v1conf 100% · 295ms · $0.000 · 176 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: $527
- alpha: $271
- bravo: $763
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $352 from "tango" to "alpha"
2. pay $255 from "bravo" to "tango"
3. pay $311 from "bravo" to "alpha"
4. pay $151 from "alpha" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"tango","to":"alpha","amount":352}},
{"tool":"transfer","args":{"from":"bravo","to":"tango","amount":255}},
{"tool":"transfer","args":{"from":"bravo","to":"alpha","amount":311}},
{"tool":"transfer","args":{"from":"alpha","to":"tango","amount":151}}
]wrongagentic.tools.triage-v1conf 99% · 1.5s · $0.000 · 456 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → tanaka
- auth → rivera
- payments → chen
INCIDENTS:
1. "API latency spikes" (category: infra, priority 4)
2. "SSO loop on login" (category: auth, priority 7)
3. "SSO loop on login" (category: auth, priority 7)
4. "API latency spikes" (category: infra, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 7
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 7
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 6
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.triage-v1conf 100% · 363ms · $0.000 · 294 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:
- data → chen
- auth → rivera
- payments → dubois
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
3. "dashboard shows stale numbers" (category: data, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.context-load-v1conf 100% · 484ms · $0.001 · 270 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 (214 records, format: id|customer|region|item|qty|status):
```
1470|acme|west|pump|53|paid
1461|acme|west|panel|75|pending
1777|birch|south|frame|39|paid
1809|juno|east|sensor|19|shipped
1535|birch|south|rotor|72|held
1660|cobalt|west|panel|68|paid
1420|birch|south|gasket|97|held
1770|fulton|west|gasket|60|paid
1330|fulton|south|frame|41|held
1320|cobalt|south|rotor|99|pending
1725|gale|east|gasket|96|paid
1485|acme|west|sensor|16|shipped
1125|cobalt|west|cable|92|paid
1771|juno|north|gasket|27|held
1402|harbor|north|pump|12|paid
1765|gale|west|panel|85|pending
1502|birch|north|frame|70|shipped
1684|dorian|west|cable|55|paid
1214|ember|north|panel|53|shipped
1681|fulton|north|sensor|73|pending
1819|fulton|east|pump|86|shipped
1743|acme|south|cable|68|held
1515|fulton|north|rotor|85|held
1187|birch|west|rotor|84|pending
1312|acme|east|sensor|39|paid
1885|gale|north|rotor|40|held
1543|ionic|north|pump|66|paid
1140|juno|east|panel|91|shipped
1707|ionic|east|panel|12|shipped
1895|ionic|west|frame|42|held
1433|acme|east|gasket|64|held
1264|gale|south|gasket|94|shipped
1859|birch|south|rotor|70|paid
1194|ionic|north|pump|39|held
1760|gale|south|gasket|93|shipped
1410|cobalt|west|valve|11|shipped
1753|ionic|south|sensor|89|held
1559|cobalt|west|sensor|72|shipped
1899|ember|south|panel|80|pending
1379|gale|east|panel|70|held
1222|birch|north|gasket|43|paid
1654|harbor|west|frame|12|held
1072|birch|west|gasket|41|pending
1647|harbor|north|valve|29|shipped
1619|acme|north|frame|97|pending
1132|birch|north|gasket|64|pending
1871|cobalt|west|gasket|68|held
1911|cobalt|south|gasket|96|held
1852|birch|north|panel|55|paid
1579|ember|north|panel|94|shipped
1148|juno|east|rotor|94|held
1623|juno|south|sensor|49|shipped
1352|dorian|north|pump|13|pending
1905|acme|east|gasket|52|held
1631|acme|north|valve|14|held
1784|juno|west|pump|90|shipped
1532|ember|east|cable|70|paid
1417|fulton|east|panel|10|pending
1875|ionic|north|gasket|42|held
1715|ember|south|frame|19|pending
1390|ember|south|panel|71|shipped
1689|acme|east|panel|55|paid
1511|ember|south|pump|40|shipped
1595|ionic|east|pump|16|shipped
1518|dorian|west|valve|30|held
1209|fulton|east|frame|30|shipped
1674|fulton|west|rotor|54|pending
1477|juno|west|pump|97|shipped
1775|gale|east|frame|88|shipped
1606|acme|east|gasket|81|shipped
1316|cobalt|east|gasket|94|shipped
1422|birch|east|sensor|13|pending
1577|birch|south|sensor|84|paid
1360|cobalt|west|sensor|84|pending
1443|fulton|east|sensor|14|pending
1803|harbor|south|rotor|17|shipped
1393|fulton|north|rotor|30|pending
1113|birch|north|panel|94|pending
1178|harbor|south|pump|39|shipped
1613|ember|west|panel|96|held
1427|gale|east|frame|42|held
1791|juno|south|frame|62|held
1218|juno|west|rotor|79|shipped
1746|harbor|west|frame|79|paid
1593|harbor|west|valve|29|pending
1694|dorian|west|frame|54|paid
1735|fulton|south|gasket|56|pending
1233|acme|west|gasket|67|held
1282|ember|south|pump|90|paid
1568|dorian|west|cable|20|held
1719|birch|east|rotor|36|pending
1229|harbor|west|rotor|46|shipped
1288|ionic|east|sensor|37|pending
1504|dorian|south|gasket|17|pending
1450|acme|west|sensor|15|paid
1918|acme|north|pump|24|shipped
1643|juno|east|cable|84|held
1700|ionic|south|panel|55|held
1667|cobalt|west|gasket|23|pending
1168|acme|north|cable|11|shipped
1793|harbor|west|panel|91|shipped
1841|ember|south|gasket|58|pending
1865|ionic|east|panel|59|shipped
1729|cobalt|east|sensor|19|held
1815|dorian|west|panel|28|shipped
1266|cobalt|south|gasket|51|shipped
1268|harbor|north|panel|58|held
1624|acme|east|gasket|10|pending
1157|fulton|north|frame|50|held
1319|acme|east|cable|93|shipped
1173|ionic|west|gasket|20|shipped
1149|acme|west|rotor|99|shipped
1657|ember|east|gasket|69|held
1303|birch|east|cable|76|pending
1093|birch|west|gasket|85|held
1923|birch|north|panel|76|shipped
1525|cobalt|west|panel|50|pending
1369|harbor|east|sensor|47|shipped
1134|cobalt|south|pump|51|shipped
1597|dorian|west|panel|38|held
1503|juno|south|sensor|52|paid
1365|gale|south|rotor|55|paid
1763|ember|south|cable|43|pending
1101|birch|east|pump|45|pending
1635|fulton|west|sensor|49|shipped
1338|juno|east|cable|53|pending
1275|ember|west|cable|53|shipped
1334|birch|south|pump|30|pending
1353|cobalt|east|gasket|56|held
1252|gale|south|valve|66|shipped
1821|juno|north|sensor|14|paid
1547|acme|north|pump|97|paid
1240|dorian|north|sensor|77|held
1115|birch|west|sensor|35|held
1089|birch|south|pump|70|pending
1600|juno|north|panel|19|held
1783|cobalt|west|frame|51|shipped
1586|birch|south|frame|81|paid
1505|dorian|south|pump|22|held
1920|juno|north|valve|39|held
1080|birch|west|panel|21|held
1387|cobalt|west|valve|17|paid
1536|gale|west|cable|61|pending
1107|birch|west|valve|55|held
1596|acme|east|frame|35|paid
1701|dorian|west|panel|74|paid
1367|juno|west|pump|71|pending
1405|fulton|south|rotor|21|pending
1454|dorian|east|rotor|37|held
1758|cobalt|west|rotor|86|pending
1800|gale|west|rotor|18|held
1497|ember|east|panel|26|held
1492|acme|east|panel|54|shipped
1531|fulton|west|sensor|44|held
1247|harbor|east|panel|24|pending
1828|harbor|south|valve|91|pending
1284|ionic|west|valve|68|pending
1439|acme|east|valve|93|paid
1652|cobalt|south|rotor|55|shipped
1823|acme|south|valve|90|pending
1300|juno|north|frame|93|held
1294|dorian|north|valve|93|pending
1696|dorian|east|rotor|27|held
1744|dorian|south|pump|36|paid
1553|dorian|west|valve|35|shipped
1095|birch|west|cable|97|pending
1122|cobalt|north|gasket|89|paid
1570|cobalt|south|gasket|33|paid
1376|acme|east|valve|23|held
1345|ionic|east|valve|73|paid
1175|birch|east|pump|58|shipped
1324|ember|north|panel|89|pending
1142|ember|north|frame|63|paid
1829|cobalt|east|gasket|36|held
1881|gale|north|pump|32|held
1160|dorian|north|pump|99|held
1186|acme|south|rotor|33|pending
1889|fulton|south|gasket|36|shipped
1863|gale|east|frame|63|pending
1737|ember|north|frame|57|paid
1750|cobalt|east|frame|10|paid
1395|fulton|south|cable|96|shipped
1257|harbor|west|frame|51|shipped
1708|dorian|south|pump|81|paid
1838|ionic|east|gasket|19|shipped
1310|juno|south|rotor|15|paid
1108|birch|west|cable|59|pending
1483|juno|north|pump|45|paid
1587|acme|west|frame|57|pending
1722|juno|east|rotor|94|held
1466|acme|west|frame|35|paid
1928|fulton|east|panel|73|held
1795|harbor|west|pump|64|shipped
1075|birch|north|cable|56|pending
1888|dorian|west|cable|15|shipped
1190|birch|west|rotor|69|shipped
1155|juno|east|pump|45|shipped
1845|harbor|west|panel|58|paid
1212|acme|east|gasket|82|held
1084|birch|west|frame|64|pending
1164|fulton|north|rotor|62|pending
1545|gale|west|sensor|35|paid
1385|birch|west|rotor|88|paid
1205|dorian|west|cable|22|shipped
1206|birch|west|frame|81|paid
1926|juno|east|pump|34|paid
1185|fulton|west|panel|21|pending
1198|acme|north|cable|68|paid
1835|birch|east|frame|75|pending
1562|dorian|east|frame|33|held
1636|ionic|east|pump|86|shipped
1626|harbor|west|pump|90|held
1243|birch|north|frame|64|paid
1162|cobalt|east|cable|78|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "west" 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":1072}},
{"tool":"restock","args":{"item":"frame","qty":64}},
{"tool":"restock","args":{"item":"cable","qty":97}},
{"tool":"cancel_order","args":{"order_id":1108}},
{"tool":"restock","args":{"item":"rotor","qty":84}}
]correctagentic.tools.ledger-v1conf 100% · 2.1s · $0.000 · 254 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $120
- oscar: $805
- tango: $765
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $490 from "tango" to "kilo"
2. pay $273 from "kilo" to "oscar"
3. pay $397 from "kilo" to "oscar"
4. pay $490 from "kilo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"tango","to":"kilo","amount":490}},
{"tool":"transfer","args":{"from":"kilo","to":"oscar","amount":273}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":60}},
{"tool":"transfer","args":{"from":"kilo","to":"oscar","amount":397}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":490}},
{"tool":"transfer","args":{"from":"kilo","to":"tango","amount":490}}
]correctagentic.tools.deploy-v1conf 100% · 780ms · $0.000 · 182 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: (none)
- gateway: auth-svc
- search: auth-svc, gateway
- reports: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"health_check","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.context-load-v1conf 100% · 347ms · $0.000 · 346 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 (142 records, format: id|customer|region|item|qty|status):
```
1530|fulton|east|valve|52|paid
1257|ionic|east|pump|95|pending
1689|fulton|east|sensor|72|pending
1546|ionic|south|pump|60|held
1187|acme|west|panel|87|pending
1286|ionic|east|valve|93|held
1652|gale|south|pump|33|paid
1550|juno|north|cable|88|pending
1462|harbor|north|panel|87|held
1516|fulton|north|sensor|23|pending
1570|gale|south|cable|82|pending
1434|fulton|south|frame|32|paid
1289|birch|west|panel|38|paid
1325|harbor|north|frame|88|shipped
1421|ember|south|sensor|65|pending
1362|fulton|west|gasket|38|paid
1210|acme|west|gasket|93|pending
1738|harbor|south|panel|52|pending
1372|ember|east|rotor|42|shipped
1322|dorian|east|panel|80|shipped
1649|ionic|north|frame|64|held
1396|gale|west|valve|71|held
1404|fulton|south|pump|68|held
1725|dorian|east|panel|21|paid
1682|juno|west|cable|56|shipped
1190|acme|north|pump|56|held
1203|acme|south|gasket|82|pending
1346|birch|east|pump|45|shipped
1373|gale|south|gasket|71|shipped
1727|birch|south|sensor|60|held
1772|ionic|west|panel|23|pending
1221|acme|north|pump|31|pending
1734|harbor|east|frame|36|held
1606|dorian|east|valve|52|shipped
1248|fulton|west|panel|78|pending
1523|fulton|east|valve|52|pending
1444|acme|north|panel|97|paid
1497|cobalt|north|sensor|23|pending
1302|birch|south|valve|33|pending
1277|birch|north|frame|50|shipped
1312|ionic|south|frame|12|pending
1743|acme|east|valve|36|shipped
1511|acme|south|panel|55|pending
1669|cobalt|east|sensor|23|shipped
1632|juno|south|rotor|38|shipped
1696|fulton|north|cable|55|held
1353|juno|west|cable|10|shipped
1423|gale|north|valve|44|paid
1580|acme|east|valve|54|held
1645|dorian|west|frame|77|paid
1700|ember|west|sensor|27|shipped
1365|fulton|east|gasket|36|held
1451|birch|east|cable|80|paid
1744|dorian|north|frame|86|paid
1284|ember|west|pump|52|pending
1430|harbor|north|panel|94|held
1244|acme|east|valve|70|pending
1617|gale|south|frame|97|held
1584|fulton|south|panel|62|paid
1182|acme|north|cable|95|pending
1704|juno|north|valve|96|pending
1663|harbor|south|panel|56|pending
1255|gale|south|sensor|91|paid
1306|dorian|north|pump|60|pending
1676|ember|north|valve|77|pending
1715|ionic|north|gasket|80|paid
1400|gale|west|valve|10|pending
1758|juno|north|frame|97|held
1467|birch|west|sensor|92|held
1473|juno|south|pump|85|shipped
1263|ember|north|valve|97|shipped
1405|harbor|south|rotor|75|shipped
1478|ionic|south|gasket|32|held
1272|juno|south|frame|39|pending
1208|acme|north|frame|87|shipped
1601|cobalt|north|gasket|88|held
1573|ionic|west|panel|29|shipped
1634|juno|west|rotor|63|paid
1612|juno|north|gasket|99|shipped
1403|harbor|east|pump|54|shipped
1441|cobalt|west|panel|30|pending
1360|juno|west|panel|25|held
1246|acme|north|cable|99|shipped
1675|ember|west|cable|90|shipped
1295|acme|south|cable|63|pending
1196|acme|north|rotor|28|pending
1412|cobalt|west|valve|56|shipped
1504|acme|south|rotor|82|paid
1355|ember|west|sensor|58|paid
1240|acme|north|frame|64|pending
1591|ionic|north|panel|55|shipped
1233|acme|north|pump|68|shipped
1460|harbor|south|frame|49|pending
1270|acme|south|panel|78|pending
1482|birch|east|pump|79|held
1604|juno|south|frame|44|paid
1620|acme|north|valve|64|pending
1340|fulton|north|valve|91|pending
1716|ember|east|frame|13|held
1765|cobalt|north|panel|29|pending
1708|acme|south|pump|80|shipped
1382|ionic|north|pump|29|shipped
1209|acme|north|panel|43|pending
1537|ember|west|rotor|70|paid
1458|fulton|west|valve|82|held
1568|juno|west|rotor|16|pending
1597|ionic|north|sensor|76|pending
1228|acme|south|gasket|23|pending
1338|birch|south|rotor|20|shipped
1370|harbor|south|panel|56|shipped
1697|ember|west|rotor|64|paid
1335|cobalt|north|rotor|54|paid
1485|cobalt|south|frame|48|shipped
1316|harbor|east|frame|60|paid
1318|cobalt|north|valve|44|pending
1586|gale|north|frame|52|pending
1331|harbor|north|frame|27|held
1468|dorian|south|frame|82|pending
1588|birch|west|frame|10|pending
1655|ionic|west|valve|81|shipped
1317|ionic|east|pump|15|held
1214|acme|north|valve|17|held
1658|dorian|west|frame|80|paid
1436|cobalt|north|panel|22|paid
1598|harbor|south|panel|30|paid
1414|harbor|east|gasket|80|pending
1492|gale|east|sensor|81|held
1557|fulton|west|panel|31|held
1778|birch|north|panel|31|pending
1683|juno|north|cable|21|paid
1448|acme|east|cable|36|held
1314|cobalt|west|sensor|31|held
1561|juno|west|pump|77|held
1625|gale|south|frame|71|paid
1389|cobalt|east|rotor|72|paid
1751|acme|east|gasket|59|pending
1266|dorian|west|frame|70|shipped
1379|gale|south|rotor|76|shipped
1638|birch|north|valve|22|held
1542|gale|west|frame|91|shipped
1720|harbor|west|gasket|52|held
1558|acme|west|gasket|28|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"cable","qty":95}},
{"tool":"cancel_order","args":{"order_id":1196}},
{"tool":"cancel_order","args":{"order_id":1209}},
{"tool":"cancel_order","args":{"order_id":1221}},
{"tool":"restock","args":{"item":"frame","qty":64}},
{"tool":"restock","args":{"item":"valve","qty":64}}
]correctagentic.tools.deploy-v1conf 100% · 367ms · $0.000 · 220 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: (none)
- billing: reports
- gateway: billing, reports
- reports: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"search"}},
{"tool":"health_check","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"gateway"}}
]correctagentic.tools.triage-v1conf 100% · 368ms · $0.000 · 396 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → tanaka
- auth → haddad
- data → novak
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 4)
2. "cannot reset password" (category: auth, priority 9)
3. "export file corrupted" (category: data, priority 7)
4. "cannot reset password" (category: auth, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 7
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.context-load-v1conf 99% · 1.0s · $0.001 · 351 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 (178 records, format: id|customer|region|item|qty|status):
```
1369|juno|north|gasket|64|held
1452|acme|west|valve|51|shipped
1481|dorian|east|cable|82|shipped
1458|juno|south|valve|24|pending
1306|cobalt|south|panel|98|paid
1172|acme|north|cable|61|pending
1760|acme|north|panel|81|shipped
1548|juno|north|panel|43|paid
1753|acme|south|cable|61|pending
1776|juno|south|gasket|72|shipped
1603|acme|south|frame|64|shipped
1443|ember|north|sensor|64|paid
1375|fulton|south|panel|54|shipped
1690|gale|south|frame|39|held
1563|ionic|west|valve|93|shipped
1761|gale|north|panel|62|shipped
1471|dorian|east|frame|96|paid
1365|cobalt|east|gasket|47|paid
1192|juno|north|pump|74|paid
1411|ember|east|sensor|66|held
1431|juno|north|cable|89|paid
1253|dorian|east|cable|33|shipped
1483|harbor|north|valve|65|held
1166|acme|east|gasket|11|pending
1147|acme|north|rotor|61|pending
1542|juno|north|pump|33|paid
1489|harbor|east|sensor|49|shipped
1383|cobalt|east|frame|32|shipped
1182|acme|north|valve|16|pending
1749|harbor|south|panel|75|held
1405|fulton|east|rotor|75|held
1608|juno|north|panel|64|paid
1659|harbor|north|rotor|47|shipped
1797|juno|south|panel|39|held
1220|ember|west|panel|44|held
1729|ember|north|sensor|63|pending
1283|gale|north|cable|49|held
1299|ionic|west|pump|52|held
1315|gale|south|frame|94|paid
1214|juno|east|frame|31|paid
1399|dorian|south|gasket|20|held
1226|harbor|north|gasket|99|pending
1683|acme|south|cable|59|held
1189|acme|north|pump|60|shipped
1167|acme|north|sensor|70|held
1370|gale|north|sensor|71|pending
1511|harbor|north|cable|53|paid
1323|gale|west|cable|31|held
1331|acme|north|gasket|83|pending
1767|dorian|north|cable|89|pending
1433|cobalt|west|valve|74|held
1633|gale|west|frame|43|pending
1319|harbor|north|gasket|60|pending
1824|dorian|west|rotor|72|held
1201|harbor|south|rotor|30|held
1362|juno|west|sensor|81|pending
1517|harbor|west|valve|99|paid
1341|ember|north|pump|75|held
1802|juno|east|sensor|94|held
1743|acme|west|rotor|98|held
1513|birch|north|valve|75|held
1241|acme|north|pump|94|paid
1794|cobalt|west|cable|77|held
1600|harbor|north|valve|72|paid
1150|acme|south|pump|24|pending
1494|cobalt|west|rotor|83|held
1722|ember|south|rotor|91|shipped
1270|gale|south|pump|63|held
1325|ionic|south|sensor|25|held
1680|dorian|south|valve|46|shipped
1625|cobalt|west|gasket|83|pending
1493|dorian|north|valve|25|held
1647|birch|south|pump|43|held
1745|juno|west|valve|47|paid
1793|juno|west|panel|72|pending
1812|harbor|west|sensor|62|pending
1154|acme|north|frame|35|shipped
1559|ember|west|sensor|75|held
1222|dorian|south|panel|90|held
1615|acme|east|rotor|27|pending
1229|fulton|west|pump|32|shipped
1613|harbor|east|panel|85|held
1524|cobalt|south|panel|62|pending
1502|juno|north|sensor|37|held
1418|ember|east|rotor|84|held
1535|ionic|west|panel|87|paid
1197|cobalt|west|rotor|48|paid
1295|gale|south|valve|84|held
1809|gale|north|valve|73|pending
1234|gale|south|cable|59|pending
1457|acme|south|pump|25|pending
1190|acme|west|sensor|16|shipped
1708|dorian|south|frame|39|pending
1790|juno|north|valve|98|pending
1335|ionic|west|rotor|33|held
1653|cobalt|west|valve|77|held
1176|acme|north|valve|59|held
1309|gale|east|rotor|78|held
1236|harbor|west|frame|42|pending
1681|gale|north|frame|53|held
1572|dorian|east|frame|20|held
1704|fulton|south|cable|68|held
1713|acme|east|pump|31|held
1594|juno|south|gasket|99|pending
1516|dorian|north|valve|32|held
1629|harbor|north|valve|97|pending
1438|dorian|south|sensor|29|pending
1465|gale|west|frame|95|pending
1445|acme|south|rotor|41|pending
1509|gale|west|frame|32|shipped
1823|dorian|north|sensor|18|pending
1256|acme|north|valve|34|shipped
1474|ionic|west|gasket|97|paid
1379|birch|south|cable|65|shipped
1552|ionic|north|rotor|57|paid
1501|harbor|south|frame|70|pending
1346|gale|east|gasket|21|shipped
1769|harbor|east|sensor|69|shipped
1620|ionic|west|valve|84|shipped
1233|dorian|north|gasket|17|paid
1783|birch|north|frame|13|held
1302|ionic|east|cable|29|paid
1440|acme|west|rotor|68|shipped
1579|fulton|north|pump|48|pending
1415|fulton|north|rotor|37|pending
1191|acme|south|frame|20|paid
1426|harbor|south|cable|10|shipped
1386|birch|south|pump|35|paid
1174|acme|south|rotor|74|pending
1356|juno|south|valve|85|shipped
1280|juno|north|sensor|20|pending
1799|juno|east|panel|58|shipped
1667|birch|north|sensor|18|paid
1395|birch|south|pump|85|shipped
1720|dorian|east|rotor|62|shipped
1514|acme|west|pump|66|pending
1585|birch|west|frame|49|held
1391|harbor|south|sensor|90|paid
1693|harbor|east|rotor|81|held
1402|gale|east|cable|48|pending
1491|cobalt|south|pump|81|held
1678|dorian|south|valve|94|shipped
1700|fulton|north|cable|84|pending
1284|harbor|east|cable|37|held
1320|gale|east|valve|71|paid
1736|juno|south|gasket|65|pending
1828|birch|south|pump|32|held
1660|ionic|north|frame|72|shipped
1740|gale|east|sensor|43|pending
1672|birch|east|valve|70|pending
1288|dorian|south|panel|25|pending
1816|dorian|west|cable|61|pending
1246|juno|south|pump|17|shipped
1377|cobalt|north|valve|92|shipped
1276|harbor|north|valve|72|pending
1555|gale|north|pump|29|paid
1263|birch|south|pump|35|shipped
1657|ember|west|valve|93|paid
1523|dorian|north|panel|73|shipped
1566|gale|north|valve|94|shipped
1529|fulton|north|frame|67|held
1468|ember|east|rotor|78|held
1827|birch|west|valve|81|pending
1423|juno|north|valve|50|shipped
1746|ember|south|panel|97|held
1498|fulton|east|valve|92|held
1702|ionic|west|panel|85|shipped
1588|birch|east|sensor|15|pending
1697|gale|east|rotor|83|paid
1640|birch|east|panel|13|held
1350|fulton|south|rotor|75|paid
1531|ionic|east|cable|39|paid
1161|acme|north|panel|59|pending
1832|harbor|west|gasket|61|shipped
1530|juno|south|sensor|81|shipped
1185|acme|south|panel|25|pending
1575|gale|east|panel|78|paid
1208|harbor|north|rotor|76|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 47, 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":61}},
{"tool":"restock","args":{"item":"panel","qty":59}},
{"tool":"restock","args":{"item":"cable","qty":61}},
{"tool":"cancel_order","args":{"order_id":1182}},
{"tool":"restock","args":{"item":"gasket","qty":83}}
]correctagentic.tools.ledger-v1conf 100% · 364ms · $0.000 · 361 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: $494
- delta: $250
- lima: $575
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $183 from "delta" to "lima"
2. pay $370 from "lima" to "alpha"
3. pay $146 from "lima" to "alpha"
4. pay $509 from "delta" to "lima"
5. pay $405 from "lima" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 183
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "alpha",
"amount": 370
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "alpha",
"amount": 146
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 442
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 509
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "alpha",
"amount": 405
}
}
]correctagentic.tools.deploy-v1conf 100% · 440ms · $0.000 · 175 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: auth-svc, search
- gateway: search
- search: (none)
- auth-svc: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]correctagentic.tools.triage-v1conf 100% · 4.2s · $0.000 · 324 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → chen
- payments → tanaka
- auth → dubois
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 9)
2. "webhooks not delivered" (category: infra, priority 9)
3. "SSO loop on login" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "dubois"
}
}
]correctagentic.tools.ledger-v1conf 100% · 413ms · $0.000 · 337 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: $380
- kilo: $610
- echo: $892
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $448 from "kilo" to "echo"
2. pay $567 from "echo" to "kilo"
3. pay $121 from "alpha" to "kilo"
4. pay $120 from "kilo" to "echo"
5. pay $600 from "echo" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "echo",
"amount": 448
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "kilo",
"amount": 567
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "kilo",
"amount": 121
}
},
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "echo",
"amount": 120
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "alpha",
"amount": 600
}
}
]correctagentic.tools.context-load-v1conf 100% · 406ms · $0.001 · 329 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 (234 records, format: id|customer|region|item|qty|status):
```
1795|acme|west|frame|15|pending
2127|fulton|west|valve|67|paid
1741|fulton|south|rotor|30|paid
1391|juno|north|panel|77|paid
2133|fulton|north|valve|42|shipped
1448|fulton|south|sensor|82|pending
1298|harbor|east|panel|74|shipped
1279|harbor|north|gasket|72|pending
2029|birch|east|gasket|67|held
1804|ionic|north|gasket|93|paid
1874|fulton|west|rotor|23|paid
1431|acme|north|frame|46|held
1913|dorian|east|valve|64|shipped
1341|gale|north|cable|79|shipped
1310|cobalt|south|gasket|50|pending
1389|birch|north|sensor|52|shipped
1495|dorian|west|cable|32|paid
1616|juno|west|frame|40|pending
1231|harbor|east|panel|63|pending
1577|ember|east|valve|86|pending
1637|cobalt|south|pump|87|shipped
1981|acme|south|pump|88|pending
1518|harbor|west|frame|75|held
1799|cobalt|south|panel|77|held
1544|dorian|east|sensor|74|held
1790|dorian|south|sensor|67|shipped
1992|birch|east|valve|56|paid
1653|dorian|east|rotor|33|paid
2078|cobalt|east|gasket|38|held
1601|ember|north|pump|14|pending
1239|harbor|east|valve|25|paid
1835|juno|north|frame|16|pending
2112|cobalt|north|valve|32|shipped
1256|harbor|east|cable|47|held
1764|cobalt|west|frame|35|shipped
2105|fulton|west|pump|76|held
1583|ember|north|sensor|74|pending
1950|fulton|north|cable|80|paid
2113|ember|east|frame|54|paid
1456|dorian|south|sensor|80|shipped
1687|harbor|west|valve|49|paid
1566|gale|south|panel|61|held
2162|juno|south|rotor|94|held
1820|acme|north|frame|15|held
2038|gale|west|cable|26|pending
1265|harbor|north|gasket|36|pending
2156|fulton|north|pump|41|pending
2062|dorian|south|rotor|34|paid
2101|fulton|south|panel|73|pending
1511|birch|west|pump|56|held
1498|gale|south|gasket|87|held
1899|gale|north|cable|64|pending
1402|fulton|south|gasket|46|held
1666|gale|west|frame|12|shipped
1381|fulton|west|sensor|75|held
1237|harbor|south|pump|59|pending
1963|ember|west|frame|18|shipped
1502|gale|south|gasket|28|paid
1474|harbor|south|frame|58|paid
1933|ember|south|valve|55|held
1781|acme|west|panel|64|pending
1767|juno|east|valve|43|paid
2018|harbor|south|gasket|65|pending
2203|birch|south|valve|92|held
1441|gale|south|gasket|34|paid
1888|fulton|south|sensor|26|held
1509|ionic|west|rotor|81|held
1856|juno|west|frame|65|held
1849|ember|west|cable|18|pending
1485|dorian|north|pump|12|held
1780|juno|north|panel|58|pending
2176|gale|north|valve|96|paid
1753|juno|south|gasket|38|shipped
1586|cobalt|west|valve|37|shipped
1867|acme|east|pump|13|shipped
1303|birch|south|cable|94|held
1438|gale|east|valve|86|held
1330|acme|north|pump|10|paid
2068|gale|west|panel|92|held
1922|acme|south|sensor|61|pending
1424|juno|north|frame|95|shipped
2094|gale|west|gasket|87|held
1957|birch|east|panel|62|held
1363|juno|south|rotor|98|held
1543|ionic|south|valve|77|held
1262|harbor|east|pump|98|pending
2027|ionic|north|panel|71|shipped
1709|gale|west|panel|76|held
1711|dorian|south|valve|25|shipped
1677|gale|east|sensor|61|held
2132|harbor|east|panel|73|held
1284|harbor|east|pump|83|pending
1324|ember|north|rotor|99|paid
1715|ember|north|panel|32|paid
1420|acme|west|cable|46|paid
1703|ionic|north|gasket|49|shipped
1335|acme|south|cable|47|pending
1720|juno|east|sensor|29|shipped
1693|birch|north|panel|92|shipped
2044|gale|east|sensor|29|held
2121|fulton|north|rotor|57|paid
1848|juno|east|sensor|69|shipped
1406|fulton|south|gasket|72|paid
1750|birch|south|panel|17|pending
1716|gale|east|sensor|92|shipped
1646|dorian|east|panel|99|shipped
1949|harbor|west|sensor|68|shipped
2005|dorian|north|valve|19|shipped
1691|cobalt|west|frame|78|paid
1689|fulton|north|panel|65|held
2142|harbor|north|cable|12|shipped
1850|juno|north|rotor|13|shipped
1367|cobalt|south|rotor|93|held
1383|juno|east|frame|10|shipped
1967|dorian|north|valve|65|paid
1555|gale|north|panel|35|paid
1734|harbor|north|gasket|31|pending
1826|cobalt|east|panel|82|held
1455|harbor|west|frame|28|shipped
1973|ionic|west|frame|19|shipped
1467|gale|north|frame|28|shipped
1698|cobalt|south|valve|57|pending
2042|cobalt|west|gasket|49|held
1836|juno|south|gasket|30|paid
2090|ember|east|frame|52|paid
2025|dorian|east|gasket|47|shipped
1592|acme|west|gasket|70|shipped
1729|acme|east|pump|31|pending
2141|juno|west|sensor|80|pending
1801|ember|east|rotor|72|held
1909|juno|west|rotor|39|paid
2024|harbor|north|pump|38|held
1681|fulton|east|gasket|53|pending
2192|dorian|north|gasket|75|pending
1388|acme|north|panel|88|shipped
1561|ionic|east|valve|79|paid
2045|juno|south|frame|55|held
1818|dorian|east|sensor|57|shipped
1905|juno|south|rotor|49|paid
1267|harbor|east|frame|14|shipped
1244|harbor|east|frame|66|pending
2002|fulton|west|pump|46|pending
2169|fulton|west|panel|76|paid
2054|fulton|west|pump|60|paid
2116|cobalt|west|frame|30|pending
1273|harbor|east|gasket|10|pending
2139|gale|south|gasket|77|pending
2185|gale|south|frame|61|held
1670|dorian|west|frame|66|held
2058|dorian|south|sensor|54|paid
1395|ionic|east|gasket|99|pending
2149|harbor|north|sensor|23|pending
1435|gale|east|cable|60|paid
1743|acme|east|panel|74|shipped
1786|ionic|north|panel|90|held
1754|ionic|north|gasket|67|pending
1852|cobalt|west|cable|65|held
1529|cobalt|east|pump|50|paid
1320|ionic|west|pump|59|shipped
1368|gale|east|sensor|23|paid
1331|dorian|east|gasket|95|shipped
2085|juno|east|pump|37|pending
1806|cobalt|west|frame|56|paid
1541|birch|south|pump|51|paid
1979|cobalt|west|valve|66|shipped
1823|ionic|west|sensor|21|shipped
1927|birch|west|pump|29|pending
1723|ember|north|rotor|52|held
1656|acme|west|pump|53|held
1373|gale|east|rotor|77|held
2201|juno|south|frame|57|shipped
1996|fulton|south|gasket|30|shipped
1623|juno|south|frame|11|pending
1919|acme|south|pump|44|held
1878|harbor|west|pump|29|shipped
1492|ionic|south|sensor|84|paid
1612|cobalt|west|valve|62|shipped
1522|ionic|north|pump|95|shipped
1775|gale|west|rotor|61|pending
1749|gale|north|frame|14|paid
2197|cobalt|south|sensor|77|held
1359|fulton|east|frame|82|paid
1596|acme|north|panel|86|held
1483|gale|east|sensor|27|pending
1640|birch|east|panel|53|held
1251|harbor|north|pump|84|pending
1667|ember|north|rotor|95|paid
1904|harbor|south|rotor|87|pending
1843|gale|north|gasket|81|pending
1768|cobalt|north|cable|24|held
1444|ember|east|sensor|20|paid
2071|ionic|east|gasket|84|shipped
1417|acme|north|valve|51|paid
1575|ember|east|sensor|78|shipped
1676|acme|west|valve|64|paid
2051|ionic|north|sensor|78|shipped
1376|acme|west|gasket|27|pending
1291|harbor|south|valve|26|pending
2183|ionic|south|valve|74|paid
2055|fulton|north|valve|40|shipped
2032|acme|south|valve|99|paid
1462|ember|east|valve|29|paid
1569|harbor|west|frame|75|held
1761|ember|north|sensor|49|shipped
1630|cobalt|south|cable|42|shipped
1348|cobalt|north|pump|97|paid
1940|birch|west|gasket|46|pending
1550|birch|west|panel|67|paid
1282|harbor|east|cable|56|held
1662|ionic|west|frame|53|held
2119|ionic|south|frame|67|pending
1860|fulton|south|gasket|23|shipped
1371|ionic|south|pump|68|shipped
2164|dorian|south|pump|35|held
1892|fulton|west|cable|41|held
1883|ember|east|frame|79|pending
2056|juno|east|panel|35|pending
2088|harbor|south|cable|91|shipped
1524|fulton|east|panel|51|paid
1540|ionic|south|cable|51|paid
2015|fulton|west|valve|32|held
1411|cobalt|south|cable|80|held
2089|dorian|south|gasket|79|shipped
1315|ember|west|panel|12|paid
1829|fulton|west|pump|31|pending
2010|ionic|north|rotor|59|pending
1355|dorian|south|gasket|32|paid
1812|gale|north|cable|53|paid
1605|fulton|west|frame|29|held
1534|cobalt|east|cable|49|pending
1985|fulton|north|gasket|96|shipped
1436|fulton|east|frame|23|held
1476|cobalt|north|rotor|92|shipped
1946|harbor|north|cable|77|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"panel","qty":63}},
{"tool":"restock","args":{"item":"frame","qty":66}},
{"tool":"restock","args":{"item":"pump","qty":98}},
{"tool":"cancel_order","args":{"order_id":1273}},
{"tool":"restock","args":{"item":"pump","qty":83}}
]correctagentic.tools.triage-v1conf 100% · 949ms · $0.000 · 292 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → novak
- infra → tanaka
- auth → haddad
INCIDENTS:
1. "records missing after import" (category: data, priority 8)
2. "uploads failing intermittently" (category: infra, priority 3)
3. "uploads failing intermittently" (category: infra, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 8
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.deploy-v1conf 100% · 407ms · $0.000 · 154 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: billing, notifier
- notifier: billing
- auth-svc: billing
- billing: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"health_check","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.ledger-v1conf 100% · 384ms · $0.000 · 285 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: $255
- echo: $173
- bravo: $129
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $94 from "alpha" to "bravo"
2. pay $147 from "alpha" to "echo"
3. pay $351 from "echo" to "alpha"
4. pay $543 from "echo" to "bravo"
5. pay $85 from "bravo" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"alpha","to":"bravo","amount":94}},
{"tool":"transfer","args":{"from":"alpha","to":"echo","amount":147}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":31}},
{"tool":"transfer","args":{"from":"echo","to":"alpha","amount":351}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":543}},
{"tool":"transfer","args":{"from":"echo","to":"bravo","amount":543}},
{"tool":"transfer","args":{"from":"bravo","to":"echo","amount":85}}
]correctagentic.tools.triage-v1conf 100% · 326ms · $0.000 · 314 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 → novak
- infra → tanaka
- data → rivera
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 9)
2. "invoice total wrong" (category: payments, priority 9)
3. "records missing after import" (category: data, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "rivera"
}
}
]correctagentic.tools.context-load-v1conf 100% · 335ms · $0.001 · 313 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 (212 records, format: id|customer|region|item|qty|status):
```
1327|acme|north|cable|45|pending
1677|acme|south|valve|22|held
1697|gale|east|panel|61|shipped
1661|ember|north|pump|94|pending
1804|cobalt|west|panel|36|pending
1211|gale|east|rotor|93|pending
1594|ionic|west|pump|57|held
1729|juno|south|panel|53|pending
1728|ionic|south|sensor|29|shipped
1035|cobalt|west|sensor|73|shipped
1376|dorian|south|gasket|16|pending
1585|juno|east|pump|66|paid
1633|birch|north|rotor|84|pending
1609|juno|west|rotor|98|held
1554|cobalt|east|gasket|51|held
1206|acme|north|sensor|17|pending
1541|cobalt|west|valve|29|paid
1216|juno|west|rotor|81|paid
1055|cobalt|north|pump|26|pending
1334|birch|south|pump|58|pending
1833|dorian|east|rotor|25|held
1054|cobalt|west|sensor|31|pending
1842|dorian|north|cable|67|pending
1193|ember|north|gasket|44|paid
1764|dorian|south|panel|95|shipped
1347|juno|west|panel|91|held
1652|juno|south|rotor|93|shipped
1277|ionic|north|frame|56|held
1314|birch|south|rotor|14|shipped
1746|birch|south|cable|76|pending
1218|juno|west|rotor|67|held
1757|acme|south|sensor|12|shipped
1495|dorian|west|panel|33|pending
1768|juno|west|gasket|58|pending
1084|gale|north|pump|58|paid
1611|gale|west|panel|72|paid
1241|birch|east|rotor|28|paid
1399|fulton|west|valve|29|held
1497|juno|west|frame|53|paid
1659|ember|south|pump|20|paid
1190|cobalt|west|frame|30|held
1612|cobalt|east|cable|96|shipped
1219|fulton|east|sensor|75|pending
1159|juno|east|sensor|27|held
1052|cobalt|south|cable|36|pending
1794|cobalt|east|pump|22|pending
1090|juno|south|pump|17|shipped
1754|ionic|north|valve|97|paid
1505|juno|south|frame|67|shipped
1184|gale|north|pump|23|pending
1809|gale|east|pump|29|paid
1051|cobalt|west|cable|15|pending
1028|cobalt|north|frame|28|pending
1737|gale|west|sensor|30|held
1271|juno|south|pump|78|held
1179|gale|east|rotor|99|pending
1714|acme|east|frame|98|paid
1820|gale|east|gasket|13|paid
1721|dorian|west|cable|81|shipped
1286|dorian|north|rotor|77|held
1454|dorian|south|rotor|51|shipped
1476|birch|north|panel|98|pending
1107|harbor|west|panel|15|held
1429|acme|south|frame|60|paid
1789|ember|south|pump|53|held
1753|harbor|east|rotor|56|shipped
1619|acme|east|pump|22|paid
1361|gale|east|frame|18|pending
1668|dorian|north|rotor|21|shipped
1298|juno|east|pump|29|held
1425|dorian|south|rotor|10|shipped
1525|acme|north|pump|11|pending
1072|juno|east|frame|43|pending
1166|dorian|west|cable|75|shipped
1409|gale|south|sensor|82|paid
1076|birch|north|panel|78|pending
1512|fulton|east|pump|54|paid
1836|birch|south|panel|68|paid
1082|gale|south|cable|69|pending
1146|acme|north|panel|35|paid
1739|dorian|south|pump|19|held
1807|dorian|south|pump|49|shipped
1322|fulton|west|panel|88|paid
1561|juno|north|frame|48|held
1688|cobalt|north|gasket|74|shipped
1449|ionic|west|sensor|76|held
1548|birch|north|cable|36|paid
1605|cobalt|north|rotor|94|held
1148|fulton|west|cable|78|paid
1840|ember|north|valve|81|pending
1170|harbor|east|rotor|90|pending
1237|cobalt|east|frame|57|shipped
1783|ember|east|valve|85|pending
1383|harbor|east|pump|96|held
1502|cobalt|east|sensor|59|held
1420|cobalt|east|sensor|57|paid
1255|ionic|south|rotor|44|held
1673|birch|north|sensor|13|paid
1527|harbor|south|panel|23|shipped
1059|cobalt|west|sensor|62|paid
1093|cobalt|south|sensor|99|pending
1519|gale|south|sensor|30|pending
1043|cobalt|east|rotor|28|pending
1678|juno|north|rotor|45|pending
1192|birch|north|pump|57|pending
1266|fulton|west|cable|83|shipped
1701|birch|north|frame|19|pending
1578|cobalt|west|frame|60|held
1048|cobalt|west|gasket|87|shipped
1291|dorian|west|pump|21|held
1647|gale|east|rotor|35|held
1394|birch|south|sensor|39|paid
1790|fulton|east|gasket|49|pending
1620|gale|south|rotor|14|shipped
1707|gale|west|rotor|50|held
1565|harbor|south|frame|79|paid
1822|gale|east|valve|97|held
1105|fulton|west|pump|68|held
1358|juno|west|sensor|46|shipped
1459|ionic|west|gasket|48|paid
1651|ionic|east|rotor|89|held
1325|fulton|south|valve|97|pending
1854|harbor|north|rotor|11|paid
1363|cobalt|south|frame|24|pending
1239|ember|west|valve|97|held
1318|ember|south|cable|36|held
1199|birch|south|panel|45|shipped
1251|birch|east|panel|15|pending
1475|ionic|east|rotor|18|held
1229|ionic|east|cable|30|shipped
1341|birch|west|frame|39|paid
1278|gale|north|pump|55|held
1749|dorian|east|panel|15|shipped
1730|fulton|east|cable|66|held
1354|dorian|west|cable|77|shipped
1338|dorian|west|sensor|35|pending
1279|ember|north|sensor|61|pending
1121|gale|south|sensor|97|shipped
1640|ember|west|valve|88|shipped
1770|ionic|east|rotor|77|held
1071|ionic|west|valve|21|held
1846|gale|north|gasket|35|pending
1488|birch|north|rotor|66|pending
1791|cobalt|west|valve|57|paid
1422|acme|north|cable|90|held
1421|birch|north|panel|36|shipped
1484|juno|north|sensor|63|paid
1543|dorian|east|panel|82|paid
1478|birch|east|frame|70|paid
1157|juno|south|gasket|82|shipped
1246|dorian|south|rotor|50|held
1766|gale|west|pump|99|shipped
1567|acme|north|panel|35|paid
1288|cobalt|south|valve|55|paid
1282|gale|east|panel|92|pending
1672|harbor|north|pump|99|shipped
1592|juno|west|gasket|57|held
1213|birch|west|valve|35|held
1683|ember|north|rotor|41|pending
1776|ember|west|sensor|96|held
1430|ionic|south|pump|55|paid
1370|cobalt|east|gasket|60|pending
1536|harbor|east|sensor|16|shipped
1827|fulton|west|gasket|45|held
1736|ionic|north|panel|16|pending
1311|cobalt|west|panel|28|shipped
1573|juno|east|pump|78|pending
1800|gale|west|sensor|35|paid
1304|birch|north|gasket|59|pending
1226|cobalt|south|frame|21|shipped
1529|ionic|north|rotor|11|paid
1022|cobalt|west|gasket|72|pending
1464|acme|south|valve|34|pending
1456|ember|south|rotor|96|paid
1070|fulton|west|rotor|95|shipped
1599|birch|east|gasket|55|shipped
1390|dorian|west|panel|94|shipped
1415|juno|north|valve|41|pending
1142|ember|west|sensor|38|pending
1461|fulton|south|cable|94|paid
1848|dorian|south|panel|66|held
1260|dorian|west|cable|80|pending
1468|birch|west|pump|53|pending
1114|birch|north|panel|82|paid
1815|ember|east|valve|10|paid
1099|ember|south|pump|96|pending
1669|birch|south|gasket|89|shipped
1781|fulton|west|rotor|53|pending
1041|cobalt|west|gasket|33|pending
1263|birch|west|sensor|21|held
1772|cobalt|east|panel|88|pending
1175|gale|east|rotor|49|held
1127|fulton|west|pump|15|paid
1723|ionic|east|sensor|12|pending
1153|juno|east|valve|21|pending
1437|dorian|west|rotor|47|held
1138|ionic|north|pump|64|held
1660|gale|south|rotor|16|held
1627|fulton|east|valve|73|pending
1231|gale|south|pump|26|paid
1850|harbor|west|cable|48|pending
1365|dorian|south|valve|91|shipped
1340|ember|east|frame|46|held
1053|cobalt|west|valve|29|held
1094|fulton|north|panel|77|paid
1066|ember|east|valve|64|paid
1080|ionic|north|frame|51|held
1693|acme|south|sensor|63|held
1131|harbor|north|pump|63|pending
1362|ionic|north|cable|10|held
1402|fulton|south|gasket|53|pending
1443|birch|north|frame|55|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"gasket","qty":72}},
{"tool":"cancel_order","args":{"order_id":1041}},
{"tool":"cancel_order","args":{"order_id":1051}},
{"tool":"cancel_order","args":{"order_id":1054}},
{"tool":"cancel_order","args":{"order_id":1804}}
]correctagentic.tools.deploy-v1conf 100% · 370ms · $0.000 · 153 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: (none)
- gateway: search
- reports: gateway, search
- 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 "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.ledger-v1conf 100% · 937ms · $0.000 · 313 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: $188
- tango: $271
- bravo: $495
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $566 from "alpha" to "bravo"
2. pay $243 from "bravo" to "tango"
3. pay $567 from "bravo" to "tango"
4. pay $344 from "tango" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 378
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "bravo",
"amount": 566
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "tango",
"amount": 243
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "tango",
"amount": 567
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 344
}
}
]correctagentic.tools.context-load-v1conf 100% · 405ms · $0.001 · 426 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 (147 records, format: id|customer|region|item|qty|status):
```
1530|birch|east|pump|91|paid
1416|ember|west|frame|95|shipped
1833|fulton|north|cable|86|paid
1572|dorian|west|rotor|10|held
1537|ionic|east|gasket|65|shipped
1509|harbor|north|panel|22|held
1678|ionic|west|rotor|73|shipped
1502|dorian|east|panel|20|paid
1429|juno|south|sensor|70|pending
1445|gale|east|frame|69|paid
1825|dorian|north|sensor|48|held
1599|dorian|north|frame|79|pending
1372|cobalt|north|sensor|70|paid
1355|cobalt|north|gasket|83|pending
1721|birch|west|cable|41|held
1422|fulton|west|pump|66|pending
1397|cobalt|south|rotor|48|pending
1682|ember|east|sensor|25|shipped
1496|cobalt|south|pump|75|shipped
1556|cobalt|north|valve|78|shipped
1865|birch|north|cable|13|pending
1654|juno|south|gasket|61|pending
1404|dorian|west|panel|66|pending
1555|juno|west|panel|75|pending
1353|cobalt|north|rotor|86|paid
1376|cobalt|north|rotor|75|pending
1639|cobalt|north|gasket|63|held
1702|birch|west|cable|36|pending
1803|gale|east|sensor|83|pending
1657|cobalt|west|cable|11|shipped
1689|ionic|north|valve|71|held
1669|harbor|west|pump|64|shipped
1457|ember|east|cable|95|paid
1550|acme|north|pump|21|pending
1646|fulton|east|rotor|31|pending
1569|cobalt|west|panel|30|paid
1364|cobalt|north|panel|52|held
1703|gale|west|sensor|26|paid
1424|dorian|east|rotor|87|shipped
1742|acme|west|sensor|73|shipped
1385|cobalt|north|rotor|66|shipped
1402|fulton|north|gasket|91|pending
1709|fulton|east|sensor|44|held
1518|harbor|west|frame|84|pending
1433|birch|west|valve|37|held
1614|cobalt|east|cable|79|held
1763|cobalt|west|valve|57|pending
1543|acme|east|pump|16|pending
1730|harbor|north|rotor|31|held
1525|gale|east|pump|70|shipped
1868|ember|east|rotor|23|pending
1610|fulton|west|pump|17|pending
1357|cobalt|south|frame|35|pending
1336|cobalt|north|panel|18|shipped
1667|dorian|west|pump|60|shipped
1582|juno|south|cable|98|paid
1808|juno|north|frame|94|shipped
1413|fulton|east|frame|51|pending
1714|acme|west|rotor|92|pending
1853|fulton|west|gasket|75|shipped
1586|gale|north|sensor|53|held
1723|fulton|west|valve|93|shipped
1734|dorian|east|gasket|46|shipped
1864|harbor|east|gasket|66|pending
1712|birch|west|valve|88|pending
1511|harbor|west|cable|28|held
1487|juno|north|valve|66|shipped
1737|harbor|south|valve|52|shipped
1448|ionic|north|pump|46|paid
1333|cobalt|south|sensor|30|pending
1637|juno|west|valve|21|pending
1677|ionic|east|gasket|30|paid
1777|cobalt|north|sensor|55|shipped
1420|ember|east|rotor|13|pending
1491|harbor|north|gasket|18|pending
1454|dorian|west|pump|59|shipped
1513|fulton|north|pump|29|held
1695|juno|west|sensor|52|held
1830|juno|south|panel|89|held
1744|juno|east|valve|49|paid
1836|acme|south|valve|35|shipped
1383|cobalt|west|panel|60|pending
1838|gale|south|pump|15|pending
1867|ionic|north|cable|42|paid
1635|ionic|south|panel|65|held
1755|dorian|east|sensor|77|held
1768|harbor|south|panel|43|shipped
1793|ember|east|frame|18|pending
1365|cobalt|north|valve|71|pending
1860|juno|east|pump|83|paid
1573|cobalt|south|sensor|63|shipped
1366|cobalt|east|valve|21|pending
1848|ionic|south|pump|57|paid
1819|ember|north|rotor|54|paid
1411|dorian|north|valve|61|pending
1480|cobalt|east|pump|25|shipped
1554|ember|south|rotor|94|paid
1440|cobalt|east|cable|94|pending
1746|dorian|west|panel|97|shipped
1855|dorian|north|pump|81|held
1392|fulton|east|frame|20|paid
1844|harbor|west|frame|85|pending
1628|ionic|east|pump|52|pending
1570|fulton|north|panel|60|shipped
1563|gale|west|cable|79|paid
1636|cobalt|north|gasket|97|held
1343|cobalt|north|panel|45|pending
1347|cobalt|east|frame|54|pending
1434|dorian|west|pump|18|paid
1708|juno|east|rotor|37|shipped
1797|gale|north|sensor|18|pending
1463|gale|east|sensor|40|held
1443|fulton|east|valve|50|shipped
1854|ionic|east|gasket|47|pending
1840|gale|north|frame|43|pending
1776|cobalt|south|valve|22|paid
1766|gale|east|sensor|44|held
1873|fulton|south|valve|75|held
1764|birch|east|gasket|95|paid
1469|dorian|north|panel|13|shipped
1802|ember|east|cable|63|paid
1476|harbor|east|valve|28|paid
1466|birch|west|pump|33|held
1673|fulton|north|frame|48|shipped
1815|dorian|east|pump|71|shipped
1596|gale|west|cable|53|pending
1787|gale|north|valve|28|paid
1600|birch|north|valve|47|held
1664|gale|east|gasket|90|held
1602|harbor|north|gasket|96|paid
1624|dorian|north|frame|51|paid
1751|gale|west|cable|24|held
1326|cobalt|north|sensor|44|pending
1883|cobalt|north|sensor|91|paid
1756|gale|south|sensor|75|paid
1590|fulton|west|pump|71|shipped
1832|ionic|west|rotor|94|held
1617|cobalt|north|gasket|40|paid
1781|acme|west|pump|89|paid
1771|juno|west|frame|39|shipped
1647|dorian|north|gasket|49|shipped
1578|harbor|west|panel|41|shipped
1631|ionic|south|sensor|55|pending
1880|dorian|east|pump|96|pending
1500|ember|east|frame|22|pending
1604|harbor|east|panel|35|shipped
1539|ember|west|panel|52|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "cancel_order",
"args": {
"order_id": 1326
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1343
}
},
{
"tool": "restock",
"args": {
"item": "gasket",
"qty": 83
}
},
{
"tool": "restock",
"args": {
"item": "valve",
"qty": 71
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 75
}
}
]correctagentic.tools.deploy-v1conf 100% · 245ms · $0.000 · 138 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: auth-svc, gateway
- billing: auth-svc, gateway
- gateway: auth-svc
- auth-svc: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"health_check","args":{"service":"search"}}
]correctagentic.tools.ledger-v1conf 100% · 287ms · $0.000 · 269 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $607
- kilo: $409
- lima: $794
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $162 from "lima" to "bravo"
2. pay $232 from "bravo" to "lima"
3. pay $428 from "bravo" to "lima"
4. pay $487 from "bravo" to "lima"
5. pay $284 from "bravo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"lima","to":"bravo","amount":162}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":232}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":428}},
{"tool":"top_up_from_reserve","args":{"account":"bravo","amount":378}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":487}},
{"tool":"top_up_from_reserve","args":{"account":"bravo","amount":284}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":284}}
]correctagentic.tools.deploy-v1anchorconf 100% · 2.6s · $0.000 · 144 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.triage-v1conf 100% · 430ms · $0.000 · 277 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- auth → rivera
- payments → chen
INCIDENTS:
1. "API latency spikes" (category: infra, priority 3)
2. "API latency spikes" (category: infra, priority 3)
3. "card declined at checkout" (category: payments, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "chen"
}
}
]correctagentic.tools.context-load-v1anchorconf 100% · 302ms · $0.001 · 392 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.triage-v1anchorconf 100% · 385ms · $0.000 · 399 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"
}
}
]correctagentic.tools.ledger-v1anchorconf 100% · 384ms · $0.000 · 410 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
}
}
]code 29/30 correct
correctcode.trace.nested-v1conf 100% · 408ms · $0.000 · 441 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
212correctcode.trace.js-v1conf 100% · 293ms · $0.000 · 141 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 5) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150correctcode.trace.python-v1conf 100% · 292ms · $0.000 · 137 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 7
while total + v <= 62:
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:
45correctcode.trace.nested-v1conf 100% · 303ms · $0.000 · 535 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
81correctcode.trace.js-v1conf 100% · 278ms · $0.000 · 88 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
100correctcode.trace.python-v1conf 100% · 293ms · $0.000 · 403 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 11
while total + v <= 110:
if v % 3 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.nested-v1conf 100% · 373ms · $0.000 · 564 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
318correctcode.trace.js-v1conf 100% · 395ms · $0.000 · 81 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, 14, 15, 16]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210correctcode.trace.python-v1conf 100% · 2.2s · $0.000 · 148 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 48:
if v % 6 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
45correctcode.trace.js-v1conf 100% · 421ms · $0.000 · 133 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16]; 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.nested-v1conf 100% · 1.2s · $0.000 · 226 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 == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
276correctcode.trace.python-v1conf 100% · 330ms · $0.000 · 114 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 8
while total + v <= 97:
if v % 5 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
90correctcode.trace.nested-v1conf 100% · 2.4s · $0.000 · 205 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
42correctcode.trace.js-v1conf 100% · 261ms · $0.000 · 157 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; 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:
594correctcode.trace.python-v1conf 100% · 350ms · $0.000 · 270 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 9
while total + v <= 41:
if v % 7 != 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:
24wrongcode.trace.nested-v1conf 100% · 311ms · $0.000 · 378 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
258correctcode.trace.js-v1conf 100% · 631ms · $0.000 · 115 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 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:
510correctcode.trace.python-v1conf 100% · 311ms · $0.000 · 223 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 4
while total + v <= 96:
if v % 5 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
78correctcode.trace.nested-v1conf 100% · 406ms · $0.000 · 582 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
138correctcode.trace.js-v1conf 100% · 499ms · $0.000 · 125 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 * 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:
60correctcode.trace.python-v1conf 100% · 290ms · $0.000 · 222 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 2
while total + v <= 45:
if v % 6 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
33correctcode.trace.js-v1conf 100% · 387ms · $0.000 · 111 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 2) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
50correctcode.trace.nested-v1conf 100% · 340ms · $0.000 · 394 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
374correctcode.trace.python-v1conf 100% · 381ms · $0.000 · 139 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 7
while total + v <= 80:
if v % 3 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
67correctcode.trace.js-v1conf 100% · 829ms · $0.000 · 197 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 6) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
270correctcode.trace.nested-v1conf 100% · 394ms · $0.000 · 249 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
303correctcode.trace.python-v1anchorconf 100% · 511ms · $0.000 · 237 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 468ms · $0.000 · 493 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 891ms · $0.000 · 66 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 395ms · $0.000 · 101 tok
model answer:
40instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 899ms · $0.000 · 551 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "lumen" and the last word must be "prism". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen paints midnight avenues; ember flickers, ember warms, ember fades, taxis cross streets beneath prismcorrectif.format.acronym-v1conf 100% · 324ms · $0.000 · 92 tok
question
Take the third letter of each of these words, in order: echo, zephyr, prism, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HPINcorrectif.constraints.stack-v1conf 100% · 618ms · $0.000 · 337 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "quartz" and the last word must be "nova". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz winter mornings glow softly; ember skies pale frost whispers ember beneath calm roofs while ember warms hearts novacorrectif.format.repeat-v1conf 100% · 355ms · $0.000 · 131 tok
question
Write the word "prism" 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:
Prism/Prism/Prism/Prism/Prism/Prismcorrectif.format.acronym-v1conf 100% · 410ms · $0.000 · 62 tok
question
Take the second letter of each of these words, in order: echo, ember, tundra, zephyr, drift, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CMUERAcorrectif.constraints.stack-v1conf 100% · 405ms · $0.000 · 306 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 "cedar". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon watches silver tides; echo drifts over waves, echo returns beneath moonlit waves, toward cedarcorrectif.format.repeat-v1conf 100% · 332ms · $0.000 · 137 tok
question
Write the word "ember" in uppercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EMBER/EMBER/EMBER/EMBERcorrectif.constraints.stack-v1conf 100% · 360ms · $0.000 · 450 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "prism" and the last word must be "cedar". 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:
prism winter mornings shimmer over frosted fields as falcon calls echo across silent snow falcon wings rise while falcon watches pale dawn beside cedarcorrectif.format.acronym-v1conf 100% · 294ms · $0.000 · 58 tok
question
Take the first letter of each of these words, in order: falcon, lumen, echo, quartz, basalt, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLEQBDcorrectif.format.repeat-v1conf 100% · 851ms · $0.000 · 162 tok
question
Write the word "tundra" in capitalized form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tundra_Tundra_Tundra_Tundra_Tundra_Tundra_Tundra_Tundra_Tundracorrectif.format.acronym-v1conf 100% · 379ms · $0.000 · 94 tok
question
Take the third letter of each of these words, in order: drift, flint, delta, orbit, comet, 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:
IILBMHcorrectif.format.repeat-v1conf 100% · 898ms · $0.000 · 121 tok
question
Write the word "basalt" in capitalized form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Basalt_Basalt_Basaltcorrectif.constraints.stack-v1conf 100% · 423ms · $0.000 · 267 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "comet" and the last word must be "delta". 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:
comet drifted beyond silent moons while nova guided our weathered crew through endless night another nova rose above the deltacorrectif.format.acronym-v1conf 100% · 293ms · $0.000 · 88 tok
question
Take the first letter of each of these words, in order: nova, comet, drift, 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:
NCDFZcorrectif.constraints.stack-v1conf 100% · 754ms · $0.000 · 302 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "cedar" and the last word must be "basalt". 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:
cedar shadows cloaked the city while nova glowed above bridges and another nova flickered through rain beside basaltcorrectif.format.acronym-v1conf 100% · 1.3s · $0.000 · 56 tok
question
Take the first letter of each of these words, in order: zephyr, basalt, quartz, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZBQNcorrectif.format.repeat-v1conf 100% · 252ms · $0.000 · 85 tok
question
Write the word "lumen" 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:
LUMEN/LUMEN/LUMEN/LUMEN/LUMENcorrectif.constraints.stack-v1conf 100% · 299ms · $0.000 · 624 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "zephyr" and the last word must be "orbit". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr carried travelers across long basalt deserts while basalt cliffs rose beyond basalt guiding caravan toward orbitcorrectif.format.repeat-v1conf 100% · 370ms · $0.000 · 191 tok
question
Write the word "delta" in capitalized form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DELTA-DELTA-DELTAcorrectif.constraints.stack-v1conf 99% · 293ms · $0.000 · 493 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "prism" and the last word must be "falcon". 3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism city streets orbit beneath silent towers orbit moonlit rivers orbit watchful midnight falconcorrectif.format.acronym-v1conf 100% · 249ms · $0.000 · 94 tok
question
Take the third letter of each of these words, in order: tundra, echo, falcon, prism, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NHLIIcorrectif.format.repeat-v1conf 100% · 374ms · $0.000 · 95 tok
question
Write the word "orbit" 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:
orbit-orbit-orbit-orbit-orbitcorrectif.format.acronym-v1conf 100% · 608ms · $0.000 · 66 tok
question
Take the first letter of each of these words, in order: prism, falcon, orbit, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PFOTcorrectif.format.repeat-v1conf 100% · 463ms · $0.000 · 141 tok
question
Write the word "cedar" in capitalized form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Cedar/Cedar/Cedar/Cedar/Cedar/Cedar/Cedarcorrectif.constraints.stack-v1anchorconf 99% · 411ms · $0.001 · 1375 tok
model answer:
drift across neon avenues lumen rain paints pavement lumen towers gleam while lumen trains carry midnight dreams through shadowed streets slowly toward distant orbitcorrectif.constraints.stack-v1conf 100% · 2.1s · $0.000 · 385 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "basalt" and the last word must be "ember". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
basalt mornings drift through frost, dawn drift softly, chimneys breathe, footsteps awaken beneath winter embercorrectif.format.acronym-v1conf 100% · 331ms · $0.000 · 107 tok
question
Take the third letter of each of these words, in order: tundra, echo, zephyr, ember, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NHPBDcorrectif.format.repeat-v1anchorconf 100% · 821ms · $0.000 · 105 tok
model answer:
Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echocorrectif.format.repeat-v1anchorconf 100% · 1.9s · $0.000 · 133 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 292ms · $0.000 · 55 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 355ms · $0.000 · 56 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 340ms · $0.000 · 50 tok
question
What is the Turkish capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 397ms · $0.000 · 65 tok
question
Identify the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 295ms · $0.000 · 53 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% · 1.4s · $0.000 · 33 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 840ms · $0.000 · 43 tok
question
Name the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 2.4s · $0.000 · 53 tok
question
What is the element whose symbol is K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 526ms · $0.000 · 62 tok
question
What is the Nigerian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 31 tok
question
What is the element whose symbol is Pb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 291ms · $0.000 · 63 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 377ms · $0.000 · 73 tok
question
What is 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% · 263ms · $0.000 · 57 tok
question
What is 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% · 255ms · $0.000 · 59 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% · 806ms · $0.000 · 45 tok
question
What is the writer of the novel "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 52 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 315ms · $0.000 · 36 tok
question
Identify the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 350ms · $0.000 · 74 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 67 tok
question
Identify the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 425ms · $0.000 · 47 tok
question
Identify the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 426ms · $0.000 · 44 tok
question
Name 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% · 310ms · $0.000 · 39 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% · 393ms · $0.000 · 48 tok
question
Identify the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 406ms · $0.000 · 56 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% · 376ms · $0.000 · 58 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 588ms · $0.000 · 66 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% · 521ms · $0.000 · 52 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2anchorconf 100% · 317ms · $0.000 · 55 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 2.3s · $0.000 · 49 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 388ms · $0.000 · 45 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 414ms · $0.000 · 49 tok
model answer:
Antimonymath 29/30 correct
correctmath.chained.pipeline-v1conf 100% · 492ms · $0.000 · 66 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 17 × 39. Step 2: Q = P × 6 − 738. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
648correctmath.counterfactual.base-v1conf 100% · 396ms · $0.000 · 101 tok
question
Work strictly in base 9. Add the base-9 numbers 3662 and 3233. 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:
7005correctmath.percent.chain-v2conf 100% · 1.1s · $0.000 · 142 tok
question
An inventory starts at 88000 units. A rival firm shipped 129 unrelated parcels the same week. In the first month the inventory grows by 29%. The warehouse was painted 106 years ago. The next month it shrinks by 38%, 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:
94312.42correctmath.algebra.system-v2conf 100% · 304ms · $0.000 · 115 tok
question
Solve the system, then answer the derived question. 5x + 2y = -115 4x − 8y = 52 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:
22correctmath.arith.chain-v2conf 100% · 2.6s · $0.000 · 84 tok
question
Evaluate the expression below and give the result. (((41 × 69 − 470) × 4 + 1861) − 13 × 72) × 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:
41444correctmath.chained.pipeline-v1conf 100% · 424ms · $0.000 · 96 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 87 × 62. Step 2: Q = P × 6 − 528. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
5306wrongmath.counterfactual.base-v1conf 100% · 528ms · $0.000 · 155 tok
question
Work strictly in base 13. Multiply the base-13 numbers 4C and 47. 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:
946correctmath.percent.chain-v2conf 99% · 330ms · $0.000 · 149 tok
question
An inventory starts at 89000 units. Each pallet weighs about 23 grams more when wet. In the first month the inventory grows by 7%. Each pallet weighs about 120 grams more when wet. The next month it shrinks by 34%, and the month after it grows by 10%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
69136.98correctmath.algebra.system-v2conf 100% · 1.0s · $0.000 · 109 tok
question
Solve the system, then answer the derived question. 5x + 3y = -68 4x − 4y = -272 What is the value of 5x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-340correctmath.arith.chain-v2conf 100% · 388ms · $0.000 · 134 tok
question
Work out the exact value of this expression. (((61 × 50 − 941) × 7 + 6884) − 24 × 62) × 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:
100795correctmath.counterfactual.base-v1conf 100% · 559ms · $0.000 · 252 tok
question
Work strictly in base 11. Add the base-11 numbers 7A9 and 13A0. 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:
2099correctmath.chained.pipeline-v1conf 100% · 286ms · $0.000 · 96 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 66 × 46. Step 2: Q = P × 7 − 741. 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:
2279correctmath.algebra.system-v2conf 100% · 1.2s · $0.000 · 90 tok
question
Solve the system, then answer the derived question. 4x + 9y = -3 4x − 5y = -185 What is the value of 5x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-215correctmath.arith.chain-v2conf 100% · 395ms · $0.000 · 176 tok
question
Work out the exact value of this expression. (((66 × 86 − 789) × 7 + 8898) − 57 × 29) × 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:
207270correctmath.percent.chain-v2conf 100% · 342ms · $0.000 · 99 tok
question
An inventory starts at 36000 units. A rival firm shipped 68 unrelated parcels the same week. In the first month the inventory grows by 30%. A rival firm shipped 137 unrelated parcels the same week. The next month it shrinks by 43%, and the month after it grows by 42%. 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:
37879.92correctmath.chained.pipeline-v1conf 100% · 826ms · $0.000 · 71 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 22 × 55. Step 2: Q = P × 6 − 495. 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:
969correctmath.counterfactual.base-v1conf 100% · 286ms · $0.000 · 316 tok
question
Work strictly in base 8. Add the base-8 numbers 1764 and 1445. 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:
3431correctmath.percent.chain-v2conf 100% · 273ms · $0.000 · 134 tok
question
An inventory starts at 32000 units. Each pallet weighs about 105 grams more when wet. In the first month the inventory grows by 45%. A rival firm shipped 88 unrelated parcels the same week. The next month it shrinks by 23%, and the month after it grows by 36%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
48590.08correctmath.arith.chain-v2conf 100% · 538ms · $0.000 · 174 tok
question
Calculate the following. Show your reasoning, then answer. (((23 × 37 − 452) × 9 + 8543) − 96 × 90) × 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:
17470correctmath.algebra.system-v2conf 100% · 629ms · $0.000 · 75 tok
question
Solve the system, then answer the derived question. 2x + 8y = -286 8x − 8y = -24 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-74correctmath.counterfactual.base-v1conf 100% · 329ms · $0.000 · 338 tok
question
Work strictly in base 8. Multiply the base-8 numbers 77 and 123. 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:
12155correctmath.chained.pipeline-v1conf 100% · 311ms · $0.000 · 93 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 68 × 46. Step 2: Q = P × 8 − 519. 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:
6127correctmath.algebra.system-v2conf 100% · 780ms · $0.000 · 92 tok
question
Solve the system, then answer the derived question. 2x + 8y = -150 2x − 9y = 20 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-170correctmath.percent.chain-v2conf 100% · 539ms · $0.000 · 131 tok
question
An inventory starts at 65000 units. The company was founded 99 kilometers from the port. In the first month the inventory grows by 10%. A rival firm shipped 63 unrelated parcels the same week. The next month it shrinks by 33%, and the month after it grows by 25%. 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:
59881.25correctmath.arith.chain-v2conf 100% · 333ms · $0.000 · 93 tok
question
Evaluate the expression below and give the result. (((41 × 54 − 352) × 5 + 9439) − 43 × 33) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
51990correctmath.chained.pipeline-v1conf 100% · 329ms · $0.000 · 65 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 20 × 62. Step 2: Q = P × 3 − 953. 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:
311correctmath.counterfactual.base-v1anchorconf 100% · 322ms · $0.000 · 209 tok
model answer:
11236correctmath.percent.chain-v2anchorconf 100% · 390ms · $0.000 · 225 tok
model answer:
61896.52correctmath.algebra.system-v2anchorconf 100% · 400ms · $0.000 · 87 tok
model answer:
87correctmath.arith.chain-v2anchorconf 100% · 352ms · $0.000 · 106 tok
model answer:
108153multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 265ms · $0.000 · 100 tok
question
A number is written in French: « neuf cent quatre-vingt-dix ». Another is written in Spanish: « cuatrocientos cuarenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1431correctmultilingual.wordnum-v1conf 100% · 303ms · $0.000 · 63 tok
question
A number is written in French: « quatre cent dix ». Another is written in Spanish: « cuatrocientos noventa y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-89correctmultilingual.numword-v2conf 100% · 347ms · $0.000 · 44 tok
question
Compute 158 + 445, 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 trescorrectmultilingual.wordnum-v1conf 100% · 495ms · $0.000 · 96 tok
question
A number is written in French: « huit cent cinquante-deux ». Another is written in Spanish: « setecientos veintinueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1581correctmultilingual.numword-v2conf 100% · 321ms · $0.000 · 53 tok
question
Compute 198 + 341, 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 treinta y nuevecorrectmultilingual.wordnum-v1conf 100% · 360ms · $0.000 · 83 tok
question
A number is written in French: « huit cent cinquante-huit ». 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:
23correctmultilingual.numword-v2conf 100% · 491ms · $0.000 · 45 tok
question
Compute 244 + 394, 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 trente-huitcorrectmultilingual.numword-v2conf 100% · 382ms · $0.000 · 114 tok
question
Compute 383 + 105, 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 ochenta y ochocorrectmultilingual.wordnum-v1conf 100% · 2.1s · $0.000 · 60 tok
question
A number is written in French: « sept cent quatre-vingt-quatre ». Another is written in Spanish: « ochocientos diez ». 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:
1594correctmultilingual.numword-v2conf 100% · 987ms · $0.000 · 102 tok
question
Compute 244 + 358, 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 deuxcorrectmultilingual.wordnum-v1conf 100% · 353ms · $0.000 · 94 tok
question
A number is written in French: « sept cent vingt ». Another is written in Spanish: « seiscientos veintiocho ». 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:
92correctmultilingual.numword-v2conf 100% · 499ms · $0.000 · 85 tok
question
Compute 113 + 414, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent vingt-septcorrectmultilingual.wordnum-v1conf 100% · 382ms · $0.000 · 63 tok
question
A number is written in French: « trois cent quatre-vingt-onze ». Another is written in Spanish: « trescientos cincuenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
742correctmultilingual.numword-v2conf 100% · 559ms · $0.000 · 104 tok
question
Compute 252 + 349, 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 unocorrectmultilingual.wordnum-v1conf 100% · 432ms · $0.000 · 102 tok
question
A number is written in French: « cent soixante-dix-neuf ». Another is written in Spanish: « seiscientos setenta y tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-494correctmultilingual.numword-v2conf 100% · 277ms · $0.000 · 59 tok
question
Compute 136 + 78, 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 quatorzecorrectmultilingual.wordnum-v1conf 100% · 368ms · $0.000 · 95 tok
question
A number is written in French: « quatre-vingt-seize ». Another is written in Spanish: « trescientos veinticinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
421correctmultilingual.numword-v2conf 100% · 354ms · $0.000 · 87 tok
question
Compute 145 + 101, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos cuarenta y seiscorrectmultilingual.wordnum-v1conf 100% · 371ms · $0.000 · 50 tok
question
A number is written in French: « sept cent cinquante-trois ». Another is written in Spanish: « ciento cuarenta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
606correctmultilingual.numword-v2conf 100% · 402ms · $0.000 · 98 tok
question
Compute 377 + 237, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent quatorzecorrectmultilingual.numword-v2conf 100% · 272ms · $0.000 · 80 tok
question
Compute 374 + 79, 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 cincuenta y trescorrectmultilingual.wordnum-v1conf 100% · 290ms · $0.000 · 76 tok
question
A number is written in French: « six cent cinquante-deux ». Another is written in Spanish: « cuatrocientos setenta y ocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
174correctmultilingual.numword-v2conf 100% · 376ms · $0.000 · 77 tok
question
Compute 230 + 308, 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 treinta y ochocorrectmultilingual.wordnum-v1conf 100% · 2.2s · $0.000 · 59 tok
question
A number is written in French: « quatre-vingt-deux ». Another is written in Spanish: « ciento diez ». 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:
192correctmultilingual.numword-v2conf 100% · 3.1s · $0.000 · 90 tok
question
Compute 125 + 322, 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 quarante-septcorrectmultilingual.wordnum-v1conf 100% · 323ms · $0.000 · 72 tok
question
A number is written in French: « huit cent quatre-vingt-deux ». Another is written in Spanish: « ciento cincuenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1036correctmultilingual.numword-v2anchorconf 100% · 1.0s · $0.000 · 127 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 408ms · $0.000 · 75 tok
model answer:
150correctmultilingual.wordnum-v1anchorconf 100% · 341ms · $0.000 · 43 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 963ms · $0.000 · 81 tok
model answer:
seiscientos ochoreasoning 29/30 correct
correctreasoning.deduction.position-v1conf 100% · 428ms · $0.000 · 82 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Bruno. Bruno is number 2 in the queue. Hana is directly ahead of Ines. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.order-v2conf 100% · 481ms · $0.000 · 146 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is taller than everyone here, but Tessa is not being ranked. Bruno is faster than Farah. Dara is faster than Bruno. Liam is faster than Hana. Farah is faster than Hana. Chen is faster than Hana. Farah is faster than Liam. Alice is faster than Hana. Chen is faster than Dara. Alice is faster than Chen. 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 357ms · $0.000 · 88 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Rosa. Rosa is directly ahead of Alice. Quinn is number 1 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.order-v2conf 100% · 273ms · $0.000 · 158 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Goran. Goran is older than Priya. Dara is taller than everyone here, but Dara is not being ranked. Tessa is older than Chen. Quinn is older than Chen. Tessa is older than Quinn. Liam is older than Chen. Rosa is older than Liam. Priya is older than Rosa. Quinn 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 513ms · $0.000 · 179 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is faster than everyone here, but Bruno is not being ranked. Hana is older than Ines. Rosa is older than Sami. Goran is older than Hana. Sami is older than Hana. Farah is older than Chen. Chen is older than Goran. Goran is older than Rosa. Sami is older than Ines. Goran is older 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 538ms · $0.000 · 144 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 1 in the queue. Alice is directly ahead of Emil. Emil is directly ahead of Farah. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 384ms · $0.000 · 86 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Dara. Dara is number 4 in the queue. Nadir is directly ahead of Liam. Rosa is directly ahead of Nadir. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1conf 100% · 387ms · $0.000 · 105 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Farah. Bruno is directly ahead of Ola. Farah is number 4 in the queue. Ola is directly ahead of Nadir. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.order-v2conf 100% · 723ms · $0.000 · 111 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Jonas. Liam is older than Emil. Emil is older than Jonas. Dara is older than Chen. Quinn is taller than everyone here, but Quinn is not being ranked. Jonas is older than Bruno. Jonas is older than Hana. Bruno is older than Hana. Chen is older than Bruno. Emil is older than Dara. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.order-v2conf 100% · 244ms · $0.000 · 198 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Kira. Liam is heavier than everyone here, but Liam is not being ranked. Kira is faster than Alice. Farah is faster than Goran. Chen is faster than Farah. Farah is faster than Emil. Kira is faster than Farah. Alice is faster than Farah. Emil is faster than Goran. Chen is faster than Ola. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 365ms · $0.000 · 70 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Ola. Farah is number 3 in the queue. Ola is directly ahead of Farah. 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:
Quinncorrectreasoning.deduction.order-v2conf 100% · 390ms · $0.000 · 203 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Dara. Jonas is older than Dara. Ines is older than Dara. Dara is older than Alice. Sami is older than Alice. Jonas is older than Farah. Ines is older than Jonas. Dara is older than Sami. Hana is taller than everyone here, but Hana is not being ranked. Quinn is older than Ines. 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:
Darawrongreasoning.deduction.position-v1conf 100% · 406ms · $0.000 · 166 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Tessa. Tessa is directly ahead of Jonas. Jonas is number 3 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Unknowncorrectreasoning.deduction.order-v2conf 100% · 303ms · $0.000 · 120 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Rosa. Jonas is faster than Goran. Rosa is faster than Jonas. Priya is faster than Emil. Tessa is faster than Goran. Tessa is faster than Liam. Emil is faster than Jonas. Emil is faster than Jonas. Farah is taller than everyone here, but Farah is not being ranked. Emil is faster 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:
Emilcorrectreasoning.deduction.position-v1conf 100% · 297ms · $0.000 · 73 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 4 in the queue. Emil is directly ahead of Kira. Goran is directly ahead of Dara. Kira 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:
Kiracorrectreasoning.deduction.order-v2conf 100% · 321ms · $0.000 · 112 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Farah. Bruno is older than Liam. Kira is faster than everyone here, but Kira is not being ranked. Farah is older than Bruno. Bruno is older than Ola. Farah is older than Ola. Priya is older than Hana. Alice is older than Liam. Hana is older than Alice. Liam 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 542ms · $0.000 · 69 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 1 in the queue. Quinn is directly ahead of Chen. 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 338ms · $0.000 · 120 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Priya. Sami is taller than Ines. Sami is taller than Bruno. Ines is taller than Farah. Bruno is taller than Ines. Ines is taller than Hana. Bruno is taller than Priya. Liam is taller than Sami. Chen is faster than everyone here, but Chen is not being ranked. Farah is taller than Hana. 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 447ms · $0.000 · 81 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Chen. Bruno is directly ahead of Mona. Mona is number 4 in the queue. Chen is directly ahead of Bruno. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 347ms · $0.000 · 290 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Jonas. Emil is older than Goran. Hana is older than Ola. Hana is older than Jonas. Nadir is taller than everyone here, but Nadir is not being ranked. Goran is older than Alice. Jonas is older than Emil. Hana is older than Goran. Alice is older than Chen. Emil is older than Alice. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 193 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Kira. Emil is taller than everyone here, but Emil is not being ranked. Alice is older than Kira. Ines is older than Liam. Sami is older than Quinn. Ines is older than Tessa. Sami is older than Kira. Liam is older than Sami. Alice is older than Ines. Tessa is older than Liam. 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 381ms · $0.000 · 63 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Mona. Jonas is directly ahead of Ola. Kira is directly ahead of Jonas. Mona is number 4 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf 100% · 232ms · $0.000 · 100 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Tessa. Hana is directly ahead of Nadir. Nadir is number 4 in the queue. Tessa is directly ahead of Hana. 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 448ms · $0.000 · 197 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Nadir is taller than Goran. Quinn is taller than Kira. Quinn is taller than Goran. Tessa is faster than everyone here, but Tessa is not being ranked. Kira is taller than Alice. Alice is taller than Rosa. Rosa is taller than Goran. Kira is taller than Nadir. Rosa is taller than Nadir. Priya is taller than Quinn. 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:
Kiracorrectreasoning.deduction.position-v1conf 100% · 332ms · $0.000 · 110 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Sami. Sami is directly ahead of Ola. 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:
Inescorrectreasoning.deduction.order-v2anchorconf 100% · 324ms · $0.000 · 201 tok
model answer:
Quinncorrectreasoning.deduction.order-v2conf 100% · 338ms · $0.000 · 128 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Farah. Nadir is faster than Kira. Kira is faster than Quinn. Hana is faster than Rosa. Rosa is faster than Quinn. Nadir is faster than Hana. Rosa is faster than Kira. Chen is taller than everyone here, but Chen is not being ranked. Quinn is faster than Farah. Bruno is faster than Nadir. 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:
Nadircorrectreasoning.deduction.position-v1anchorconf 100% · 283ms · $0.000 · 104 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 478ms · $0.000 · 163 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 424ms · $0.000 · 69 tok
model answer:
Farahterminal 28/30 correct
correctterminal.fs.tree-v1conf 99% · 305ms · $0.000 · 457 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/conf`, `/proj/docs`): ``` /proj/docs/notes.cfg /proj/docs/setup.md /proj/draft.log /proj/logs/util.md /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/index-5.cfg touch logs/notes-6.cfg mkdir -p build-4 cd logs rm ../../proj/docs/index-5.cfg rm ../../proj/draft.log touch index-7.log cd ../../proj/build-4 touch ../../proj/docs/main-4.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/main-4.cfg
/proj/docs/notes.cfg
/proj/docs/setup.md
/proj/logs/index-7.log
/proj/logs/notes-6.cfg
/proj/logs/util.md
/proj/todo.logcorrectterminal.fs.tree-v1conf 100% · 341ms · $0.000 · 482 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/build`): ``` /proj/build/report.cfg /proj/build/setup.cfg /proj/docs/notes.txt /proj/index.md /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch conf/main-9.cfg mkdir -p docs/logs-2 mkdir -p conf/src-9 cd conf/src-9 rm ../../../proj/index.md cd ../../../proj/conf mkdir -p assets-6 touch assets-6/notes-2.cfg cp ../../proj/docs/notes.txt ../../proj/build/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/notes.txt
/proj/build/report.cfg
/proj/build/setup.cfg
/proj/conf/assets-6/notes-2.cfg
/proj/conf/main-9.cfg
/proj/docs/notes.txt
/proj/util.logcorrectterminal.exit.chain-v1conf 100% · 268ms · $0.000 · 112 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 tmp.txt && echo A || echo B test -f ghost.txt && echo C || echo D true && 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
D
E
H
exit:1correctterminal.pipeline.predict-v1conf 100% · 476ms · $0.000 · 111 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,legal,49,54 bo,hr,73,37 gus,sales,117,85 kim,hr,39,50 fay,legal,75,42 eli,hr,101,36 pam,sales,42,16 oli,eng,63,17 jon,legal,8,78 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
bo,73
eli,101correctterminal.exit.chain-v1conf 100% · 313ms · $0.000 · 99 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f tmp.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
exit:1correctterminal.fs.tree-v1conf 100% · 478ms · $0.000 · 390 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/docs`): ``` /proj/assets/setup.md /proj/conf/todo.log /proj/docs/util.log /proj/draft.txt /proj/notes.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf-4 mkdir -p logs-8 rm draft.txt cd docs mkdir -p ../../proj/conf/docs-6 mv ../../proj/conf/todo.log ../../proj/conf-4/ cd ../../proj cp assets/setup.md logs-8/ cd conf-4 rm ../../proj/assets/setup.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/conf-4/todo.log
/proj/docs/util.log
/proj/logs-8/setup.md
/proj/notes.cfgcorrectterminal.pipeline.predict-v1conf 100% · 521ms · $0.000 · 64 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
fay,ops,118,67
ana,sales,40,34
oli,legal,41,63
ned,ops,68,59
ivy,sales,52,73
jon,sales,105,68
hal,eng,61,56
max,sales,99,37
gus,legal,69,17
kim,hr,73,76
pam,hr,93,41
bo,ops,98,30
dev,ops,111,80
cy,eng,71,64
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
110correctterminal.exit.chain-v1conf 100% · 2.4s · $0.000 · 111 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
exit:1correctterminal.fs.tree-v1conf 100% · 372ms · $0.000 · 293 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/src`, `/proj/conf`): ``` /proj/conf/setup.txt /proj/docs/main.md /proj/index.md /proj/notes.log /proj/src/util.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 conf/setup.txt rm docs/main.md touch report-3.txt rm notes.log cd . touch src/main-3.txt cd docs mkdir -p ../../proj/src/src-1 touch ../../proj/src/report-3.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/index.md
/proj/report-3.txt
/proj/src/main-3.txt
/proj/src/report-3.md
/proj/src/util.cfgcorrectterminal.pipeline.predict-v1conf 100% · 346ms · $0.000 · 105 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` hal,sales,110,25 ana,ops,91,55 lou,hr,37,48 ivy,eng,110,74 ned,ops,4,35 eli,legal,65,73 kim,legal,33,40 dev,ops,72,50 jon,sales,111,51 pam,sales,29,26 ``` 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:
eli,65
kim,33wrongterminal.exit.chain-v1conf 100% · 283ms · $0.000 · 114 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f data.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
exit:0correctterminal.pipeline.predict-v1conf 100% · 294ms · $0.000 · 116 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,eng,42,66 bo,legal,34,42 ana,eng,59,74 eli,legal,13,23 fay,ops,36,89 hal,sales,77,57 cy,ops,104,58 jon,legal,15,75 oli,ops,92,45 lou,sales,72,49 ned,sales,60,25 ``` 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:
ned,sales,60,25
lou,sales,72,49
hal,sales,77,57correctterminal.exit.chain-v1conf 100% · 306ms · $0.000 · 110 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D false && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
Z
exit:0correctterminal.fs.tree-v1conf 100% · 362ms · $0.000 · 486 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/src`): ``` /proj/assets/todo.md /proj/conf/index.cfg /proj/conf/util.md /proj/draft.md /proj/notes.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv conf/index.cfg conf/setup-3.log touch conf/index-3.log cd . mv assets/todo.md src/ cd conf touch ../../proj/assets/index-7.txt mkdir -p ../../proj/assets/conf-4 touch ../../proj/assets/report-3.md cd ../../proj/assets/conf-4 mv ../../../proj/src/todo.md ../../../proj/ rm ../../../proj/draft.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/index-7.txt
/proj/assets/report-3.md
/proj/conf/index-3.log
/proj/conf/setup-3.log
/proj/conf/util.md
/proj/notes.txt
/proj/todo.mdcorrectterminal.pipeline.predict-v1conf 100% · 274ms · $0.000 · 94 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` hal,ops,64,70 gus,sales,43,50 dev,sales,40,64 jon,hr,29,31 oli,ops,13,41 cy,legal,46,94 ana,hr,73,49 eli,ops,46,11 lou,hr,98,27 kim,legal,95,35 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
eli,46
hal,64correctterminal.fs.tree-v1conf 99% · 290ms · $0.000 · 574 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/assets`): ``` /proj/assets/setup.log /proj/build/draft.txt /proj/report.log /proj/src/notes.cfg /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p assets/build-1 rm src/notes.cfg touch util-4.log rm build/draft.txt cd src cp ../../proj/todo.cfg ../../proj/assets/build-1/ mv ../../proj/assets/build-1/todo.cfg ../../proj/assets/build-1/ cd ../../proj/assets/build-1 touch ../../../proj/src/index-4.log cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/build-1/todo.cfg
/proj/assets/setup.log
/proj/report.log
/proj/src/index-4.log
/proj/todo.cfg
/proj/util-4.logcorrectterminal.exit.chain-v1conf 100% · 517ms · $0.000 · 94 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f ghost.txt && echo C || echo D test -f ghost.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
G
exit:1correctterminal.fs.tree-v1conf 100% · 494ms · $0.000 · 540 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/assets`): ``` /proj/docs/index.md /proj/docs/main.cfg /proj/docs/setup.log /proj/draft.txt /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p logs/src-4 rm todo.txt touch assets/index-8.cfg cd logs/src-4 mkdir -p ../../../proj/assets/conf-2 cd ../../../proj/logs mv ../../proj/docs/setup.log ../../proj/docs/report-6.cfg mv ../../proj/assets/index-8.cfg ../../proj/assets/draft-4.md cp ../../proj/assets/draft-4.md ../../proj/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft-4.md
/proj/docs/index.md
/proj/docs/main.cfg
/proj/docs/report-6.cfg
/proj/draft-4.md
/proj/draft.txtcorrectterminal.pipeline.predict-v1conf 100% · 311ms · $0.000 · 88 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
fay,eng,3,20
max,hr,109,22
kim,hr,118,54
oli,legal,97,90
hal,ops,37,50
dev,ops,64,68
ivy,sales,3,64
cy,eng,8,41
lou,sales,76,27
eli,ops,56,47
ned,hr,38,95
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 68 { 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% · 478ms · $0.000 · 140 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B true && echo C || echo D test -f tmp.txt && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 801ms · $0.000 · 107 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,hr,15,45 fay,legal,14,51 gus,sales,12,13 dev,legal,58,11 ned,hr,15,50 eli,ops,3,36 ana,ops,82,18 max,legal,84,51 pam,legal,35,94 bo,sales,52,48 hal,eng,50,71 ivy,ops,57,58 lou,sales,72,50 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' 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:
hal,50correctterminal.fs.tree-v1conf 99% · 451ms · $0.000 · 544 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/src`, `/proj/docs`): ``` /proj/docs/main.cfg /proj/docs/setup.md /proj/draft.log /proj/src/notes.log /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp src/notes.log ./ mv src/notes.log ./ cp notes.log docs/ cd docs mv notes.log ./ cd ../../proj/src rm ../../proj/docs/notes.log mkdir -p ../../proj/logs/conf-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/main.cfg
/proj/docs/setup.md
/proj/draft.log
/proj/notes.log
/proj/todo.mdwrongterminal.exit.chain-v1conf 100% · 424ms · $0.000 · 118 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
exit:1correctterminal.pipeline.predict-v1conf 100% · 332ms · $0.000 · 93 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
cy,legal,50,62
hal,legal,40,52
ned,ops,88,47
kim,hr,92,87
jon,eng,82,70
bo,legal,65,19
eli,ops,41,86
pam,sales,111,52
gus,hr,109,35
ivy,legal,72,16
oli,eng,17,29
ana,sales,67,78
max,hr,57,95
dev,sales,44,59
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 49 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
3correctterminal.fs.tree-v1conf 100% · 475ms · $0.000 · 440 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`): ``` /proj/build/index.cfg /proj/notes.md /proj/src/main.log /proj/src/todo.txt /proj/util.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 logs-9 touch notes-4.md mv src/main.log src/todo-9.log mv build/index.cfg src/ cp src/todo-9.log build/ cd logs rm ../../proj/util.cfg cd ../../proj/logs-9 mkdir -p ../../proj/logs/build-1 cp ../../proj/notes.md ../../proj/logs/build-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/build/todo-9.log
/proj/logs/build-1/notes.md
/proj/notes-4.md
/proj/notes.md
/proj/src/index.cfg
/proj/src/todo-9.log
/proj/src/todo.txtcorrectterminal.exit.chain-v1conf 100% · 287ms · $0.000 · 119 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B test -f tmp.txt && echo C || echo D true && echo E || echo F test -f ghost.txt && echo G || echo H test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
H
Z
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 268ms · $0.000 · 112 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 238ms · $0.000 · 86 tok
model answer:
B
D
E
G
exit:1correctterminal.fs.tree-v1anchorconf 100% · 322ms · $0.000 · 461 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% · 255ms · $0.000 · 72 tok
model answer:
1vision ocr 25/30 correct
correctvision.ocr.table-read-v1conf 100% · 505ms · $0.000 · 79 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:
93correctvision.ocr.code-hunt-v1conf 99% · 564ms · $0.000 · 75 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:
J9KAXTKcorrectvision.ocr.table-read-v1conf 100% · 318ms · $0.000 · 59 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:
26wrongvision.ocr.code-hunt-v1conf 99% · 378ms · $0.000 · 114 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:
WFKRAKMwrongvision.ocr.code-hunt-v1conf 97% · 413ms · $0.000 · 460 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ETHH79Pcorrectvision.ocr.table-read-v1conf 100% · 728ms · $0.000 · 68 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.table-read-v1conf 100% · 323ms · $0.000 · 71 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:
90correctvision.ocr.code-hunt-v1conf 99% · 240ms · $0.000 · 116 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PDEWK9correctvision.ocr.table-read-v1conf 100% · 319ms · $0.000 · 56 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:
216correctvision.ocr.code-hunt-v1conf 99% · 334ms · $0.000 · 84 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:
37JCPJFcorrectvision.ocr.table-read-v1conf 100% · 388ms · $0.000 · 82 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:
91correctvision.ocr.code-hunt-v1conf 99% · 486ms · $0.000 · 73 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:
ACTKRYAcorrectvision.ocr.table-read-v1conf 100% · 353ms · $0.000 · 80 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:
70correctvision.ocr.table-read-v1conf 100% · 2.5s · $0.000 · 54 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:
178wrongvision.ocr.code-hunt-v1conf 92% · 508ms · $0.000 · 168 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
XAMFRAPFcorrectvision.ocr.code-hunt-v1conf 99% · 2.3s · $0.000 · 80 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:
YUA3Y33correctvision.ocr.table-read-v1conf 100% · 309ms · $0.000 · 59 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% · 884ms · $0.000 · 90 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AUN7N9correctvision.ocr.table-read-v1conf 100% · 684ms · $0.000 · 53 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:
49correctvision.ocr.table-read-v1conf 100% · 1.7s · $0.000 · 89 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:
56correctvision.ocr.code-hunt-v1conf 99% · 388ms · $0.000 · 71 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:
MTMJ3DRXwrongvision.ocr.code-hunt-v1conf 94% · 322ms · $0.000 · 259 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:
PW0UUAMcorrectvision.ocr.table-read-v1conf 100% · 256ms · $0.000 · 69 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:
78wrongvision.ocr.code-hunt-v1conf 99% · 555ms · $0.000 · 97 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:
TWW4KCcorrectvision.ocr.table-read-v1conf 100% · 336ms · $0.000 · 51 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:
61correctvision.ocr.code-hunt-v1conf 98% · 307ms · $0.000 · 94 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
WNP3JCMcorrectvision.ocr.table-read-v1anchorconf 100% · 3.2s · $0.000 · 68 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 99% · 1.2s · $0.000 · 105 tok
model answer:
VX7993Dcorrectvision.ocr.code-hunt-v1anchorconf 99% · 1.2s · $0.000 · 93 tok
model answer:
YH9E4AWPcorrectvision.ocr.table-read-v1anchorconf 100% · 534ms · $0.000 · 64 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit762
- 2026-08-05v0.2.0index_fit762
- 2026-08-05v0.2.0index_fit762
- 2026-08-05v0.2.0index_fit763
- 2026-08-05v0.2.0index_fit763
- 2026-08-05v0.2.0index_fit766
- 2026-08-05v0.2.0index_fit767
- 2026-08-05v0.2.0index_fit768
- 2026-08-05v0.2.0index_fit798