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Google: Gemini 3.1 Flash Lite
google/gemini-3.1-flash-lite · google · context 1 048 576 · in $0.250/1M · out $1.50/1M
Global Index
718
95% CI [671–765] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 546 [448–644] | 0.396 | 0.72 | 0.50 | 0.000 | 512ms | $0.574 | |
| code | 817 [694–940] | 0.753 | 0.98 | 0.97 | 0.038 | 474ms | $0.765 | |
| instruction following | 573 [461–684] | 0.451 | 0.83 | 0.70 | 0.058 | 520ms | $0.112 | |
| knowledge | 728 [555–900] | 0.546 | 1.00 | 1.00 | 0.000 | 513ms | $0.040 | |
| math | 843 [693–994] | 0.743 | 0.98 | 1.00 | 0.000 | 496ms | $0.450 | |
| multilingual | 821 [659–983] | 0.706 | 0.98 | 1.00 | 0.000 | 432ms | $0.099 | |
| reasoning | 732 [588–876] | 0.665 | 0.98 | 0.93 | 0.077 | 561ms | $0.252 | |
| terminal | 669 [562–777] | 0.580 | 0.97 | 0.70 | 0.058 | 592ms | $0.533 | |
| vision ocr | 735 [564–906] | 0.559 | 1.00 | 1.00 | 0.000 | 1.3s | $0.417 |
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 15/30 correct
correctagentic.tools.context-load-v1conf 100% · 706ms · $0.002 · 820 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 (153 records, format: id|customer|region|item|qty|status):
```
1300|cobalt|north|sensor|84|pending
1496|dorian|south|valve|38|pending
1210|ember|east|pump|51|paid
1135|juno|south|rotor|50|pending
1635|birch|south|cable|64|held
1684|ember|north|sensor|91|pending
1136|juno|west|panel|66|pending
1232|juno|east|valve|42|pending
1492|ember|east|sensor|46|paid
1559|dorian|east|gasket|86|pending
1523|ionic|north|cable|83|held
1177|fulton|west|pump|72|shipped
1128|juno|south|gasket|76|held
1193|dorian|east|sensor|88|held
1548|cobalt|north|pump|74|paid
1503|birch|west|valve|72|pending
1604|dorian|west|valve|56|held
1334|dorian|west|gasket|92|held
1573|gale|east|valve|52|shipped
1531|gale|north|cable|13|pending
1482|cobalt|east|pump|48|pending
1415|ionic|south|valve|67|pending
1456|juno|east|sensor|80|pending
1612|gale|north|pump|65|pending
1619|dorian|north|gasket|90|pending
1647|cobalt|east|panel|43|pending
1413|juno|west|gasket|91|paid
1141|juno|west|sensor|82|pending
1663|birch|north|frame|40|paid
1138|juno|south|gasket|28|pending
1137|juno|south|rotor|31|shipped
1539|gale|east|rotor|41|shipped
1363|gale|north|valve|51|pending
1309|birch|south|cable|75|held
1675|ember|east|valve|92|pending
1173|juno|south|gasket|32|held
1342|dorian|east|pump|63|paid
1357|juno|west|frame|87|shipped
1552|birch|east|panel|60|paid
1687|dorian|west|valve|31|shipped
1458|fulton|north|cable|71|held
1384|ionic|north|pump|13|shipped
1445|acme|south|valve|91|held
1275|acme|north|sensor|11|pending
1355|dorian|west|gasket|20|paid
1277|harbor|west|frame|80|paid
1607|harbor|west|cable|65|pending
1145|juno|south|pump|22|pending
1344|dorian|south|pump|80|paid
1615|juno|east|valve|36|held
1537|harbor|south|pump|31|paid
1626|cobalt|west|frame|41|shipped
1529|birch|north|valve|76|paid
1502|dorian|west|frame|42|pending
1215|ionic|east|pump|61|paid
1591|gale|south|cable|20|held
1421|juno|west|sensor|73|paid
1507|dorian|south|rotor|55|pending
1457|ember|north|valve|34|paid
1401|ionic|west|pump|71|shipped
1409|dorian|east|frame|50|shipped
1477|juno|east|pump|24|paid
1324|birch|west|cable|78|shipped
1487|birch|south|rotor|85|held
1462|gale|west|cable|34|pending
1142|juno|south|panel|33|shipped
1484|harbor|south|frame|34|shipped
1519|acme|north|panel|66|pending
1642|dorian|north|cable|55|held
1124|juno|north|panel|45|pending
1569|birch|north|valve|10|held
1189|ionic|east|pump|85|held
1196|gale|north|cable|33|shipped
1350|dorian|west|rotor|13|shipped
1565|cobalt|east|frame|62|held
1468|ionic|east|sensor|91|pending
1478|birch|south|sensor|61|held
1450|cobalt|west|cable|55|pending
1618|dorian|east|sensor|64|paid
1427|acme|east|valve|65|pending
1226|dorian|east|panel|88|held
1335|fulton|west|sensor|59|shipped
1570|juno|west|gasket|92|held
1246|fulton|south|pump|20|pending
1555|fulton|north|gasket|24|paid
1398|ionic|north|pump|23|shipped
1219|dorian|south|valve|90|pending
1628|juno|south|panel|33|shipped
1121|juno|south|valve|99|pending
1584|acme|south|gasket|22|paid
1439|juno|east|gasket|32|pending
1399|juno|west|valve|99|pending
1410|cobalt|east|gasket|28|held
1312|cobalt|north|sensor|33|paid
1319|fulton|south|rotor|89|paid
1408|ember|west|panel|40|shipped
1670|gale|east|sensor|86|paid
1245|gale|north|frame|37|held
1338|ember|north|cable|40|shipped
1546|gale|west|rotor|91|paid
1376|ember|north|cable|76|shipped
1391|cobalt|west|valve|81|pending
1162|juno|south|panel|31|pending
1654|dorian|south|cable|56|shipped
1182|dorian|north|sensor|60|shipped
1169|juno|west|sensor|11|pending
1650|acme|west|gasket|18|shipped
1677|gale|east|gasket|92|pending
1351|gale|south|frame|71|paid
1298|ember|south|pump|50|held
1513|gale|east|valve|93|shipped
1188|harbor|south|frame|57|paid
1236|harbor|west|gasket|59|shipped
1501|cobalt|south|frame|66|shipped
1218|acme|east|sensor|68|shipped
1328|cobalt|north|pump|44|shipped
1157|juno|south|valve|92|held
1286|ionic|east|rotor|88|pending
1428|dorian|east|cable|81|shipped
1435|gale|north|frame|78|paid
1579|ionic|north|valve|61|held
1495|cobalt|east|rotor|29|pending
1261|ember|south|valve|80|paid
1665|ionic|west|valve|28|shipped
1437|ember|east|rotor|51|paid
1252|juno|north|gasket|12|pending
1281|ember|south|panel|81|held
1629|gale|east|pump|89|paid
1371|ionic|north|rotor|70|paid
1303|juno|west|pump|54|shipped
1576|acme|south|gasket|32|shipped
1475|juno|east|sensor|66|held
1382|acme|north|cable|36|pending
1178|ember|south|valve|77|paid
1238|juno|west|pump|13|pending
1690|harbor|north|valve|92|pending
1150|juno|east|valve|66|pending
1661|dorian|south|sensor|67|shipped
1563|acme|south|cable|55|shipped
1318|fulton|south|rotor|38|shipped
1577|juno|west|rotor|38|held
1595|fulton|west|valve|24|held
1368|juno|south|pump|39|pending
1681|acme|east|valve|32|paid
1204|birch|west|frame|84|shipped
1268|gale|north|valve|26|shipped
1320|birch|south|cable|96|shipped
1190|cobalt|west|panel|72|shipped
1258|cobalt|west|pump|94|pending
1527|fulton|east|pump|78|held
1597|acme|east|sensor|74|pending
1292|cobalt|east|cable|71|pending
1202|ember|south|rotor|24|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "valve", "qty": 99}},
{"tool": "restock", "args": {"item": "rotor", "qty": 50}},
{"tool": "cancel_order", "args": {"order_id": 1138}},
{"tool": "cancel_order", "args": {"order_id": 1145}},
{"tool": "cancel_order", "args": {"order_id": 1162}},
{"tool": "cancel_order", "args": {"order_id": 1368}}
]wrongagentic.tools.ledger-v1conf 100% · 606ms · $0.001 · 277 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: $218
- kilo: $197
- oscar: $509
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $548 from "bravo" to "oscar"
2. pay $445 from "oscar" to "kilo"
3. pay $459 from "oscar" to "kilo"
4. pay $356 from "kilo" to "oscar"
5. pay $270 from "bravo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 330}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 548}},
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 445}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 381}},
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 459}},
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 356}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 270}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 270}}
]correctagentic.tools.triage-v1conf 100% · 431ms · $0.000 · 145 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → novak
- auth → silva
- payments → okafor
INCIDENTS:
1. "export file corrupted" (category: data, priority 4)
2. "export file corrupted" (category: data, priority 4)
3. "card declined at checkout" (category: payments, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.7s · $0.000 · 123 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: $675
- echo: $730
- delta: $838
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $263 from "delta" to "echo"
2. pay $526 from "alpha" to "delta"
3. pay $313 from "delta" to "alpha"
4. pay $407 from "alpha" 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": "delta", "to": "echo", "amount": 263}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 526}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 313}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 258}},
{"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 407}}
]correctagentic.tools.deploy-v1conf 100% · 454ms · $0.000 · 54 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: gateway
- search: billing
- billing: (none)
- gateway: billing, 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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1conf 100% · 950ms · $0.001 · 296 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → chen
- data → okafor
- payments → dubois
INCIDENTS:
1. "API latency spikes" (category: infra, priority 9)
2. "records missing after import" (category: data, priority 3)
3. "API latency spikes" (category: infra, priority 9)
4. "API latency spikes" (category: infra, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-4"}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}}
]wrongagentic.tools.context-load-v1conf 100% · 518ms · $0.001 · 139 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 (135 records, format: id|customer|region|item|qty|status):
```
1440|cobalt|north|valve|25|held
1366|dorian|north|sensor|86|paid
1577|ember|west|valve|36|paid
1487|ember|south|rotor|47|held
1702|gale|south|gasket|63|held
1646|harbor|south|frame|62|pending
1566|ionic|south|panel|82|held
1808|juno|east|frame|42|held
1415|juno|south|cable|15|held
1578|dorian|south|pump|87|shipped
1533|birch|west|frame|23|held
1691|ember|east|pump|88|paid
1654|ionic|west|panel|49|pending
1624|dorian|west|frame|48|shipped
1853|ionic|east|sensor|54|shipped
1583|harbor|south|rotor|40|held
1429|dorian|north|rotor|25|held
1638|juno|north|valve|47|paid
1838|ember|north|panel|60|paid
1729|ember|south|panel|50|shipped
1793|acme|south|cable|87|held
1435|birch|north|valve|10|held
1497|harbor|east|frame|81|held
1413|cobalt|east|rotor|77|held
1288|ionic|south|cable|41|pending
1666|fulton|east|pump|88|pending
1327|ionic|south|cable|48|pending
1304|ionic|south|cable|33|pending
1508|gale|west|valve|79|shipped
1753|fulton|north|sensor|30|paid
1609|birch|east|rotor|85|pending
1323|ionic|south|frame|38|shipped
1795|cobalt|west|valve|81|held
1388|ionic|east|sensor|80|shipped
1641|acme|north|pump|60|held
1682|cobalt|north|frame|10|pending
1786|cobalt|west|pump|18|paid
1544|gale|east|rotor|58|paid
1420|fulton|west|cable|40|shipped
1724|juno|north|gasket|84|paid
1800|fulton|east|gasket|61|pending
1822|cobalt|south|frame|17|pending
1733|harbor|south|panel|74|pending
1373|acme|west|panel|85|held
1735|birch|south|cable|92|held
1759|cobalt|west|panel|89|paid
1460|ember|east|cable|42|held
1621|ionic|east|pump|79|shipped
1780|ionic|east|frame|52|shipped
1393|harbor|north|rotor|65|paid
1742|juno|north|pump|27|pending
1716|gale|west|rotor|13|shipped
1721|harbor|west|cable|13|held
1433|cobalt|west|valve|91|paid
1400|birch|south|sensor|27|pending
1351|ionic|east|sensor|93|pending
1449|cobalt|south|valve|23|paid
1392|cobalt|west|rotor|74|paid
1715|fulton|south|panel|84|pending
1747|birch|south|cable|94|shipped
1468|fulton|south|gasket|66|pending
1387|gale|north|sensor|88|held
1297|ionic|south|valve|92|held
1384|acme|west|frame|72|held
1537|gale|north|valve|79|paid
1675|dorian|west|pump|56|paid
1511|cobalt|east|valve|57|pending
1708|acme|east|pump|55|shipped
1806|harbor|north|pump|29|held
1340|ionic|south|gasket|76|paid
1540|ember|south|rotor|76|paid
1426|fulton|north|cable|59|held
1686|birch|west|panel|66|shipped
1755|cobalt|east|rotor|19|pending
1474|harbor|south|gasket|25|paid
1832|ionic|north|cable|49|shipped
1503|harbor|north|panel|53|held
1700|cobalt|west|sensor|28|paid
1594|gale|west|panel|83|pending
1416|harbor|west|cable|67|pending
1673|ionic|south|cable|65|shipped
1572|birch|south|sensor|75|pending
1311|ionic|west|sensor|83|pending
1590|gale|north|rotor|96|pending
1815|fulton|west|gasket|83|paid
1465|dorian|west|frame|47|shipped
1826|ember|south|gasket|60|pending
1493|dorian|east|valve|55|paid
1333|ionic|north|pump|70|pending
1687|juno|east|frame|94|paid
1292|ionic|north|panel|38|pending
1451|ember|west|rotor|87|pending
1656|harbor|north|valve|15|shipped
1513|gale|west|frame|48|held
1407|dorian|north|rotor|78|held
1554|acme|east|sensor|52|shipped
1697|fulton|east|cable|53|pending
1845|ember|west|sensor|23|paid
1354|ionic|south|panel|45|paid
1628|cobalt|south|sensor|18|paid
1704|fulton|west|sensor|11|held
1773|ionic|east|panel|57|pending
1774|ember|south|cable|79|held
1601|acme|south|sensor|24|shipped
1635|ionic|south|sensor|67|shipped
1496|harbor|west|pump|31|shipped
1547|fulton|east|frame|11|shipped
1603|acme|east|sensor|42|held
1360|gale|south|panel|68|held
1615|fulton|north|pump|74|pending
1607|gale|north|pump|91|pending
1347|ionic|south|pump|47|pending
1314|ionic|south|frame|99|held
1483|birch|west|valve|88|paid
1849|ember|west|cable|70|paid
1796|acme|west|gasket|66|pending
1526|dorian|west|gasket|17|shipped
1767|harbor|west|gasket|91|shipped
1760|acme|south|pump|24|pending
1316|ionic|south|sensor|51|pending
1660|ionic|east|gasket|27|held
1532|gale|south|cable|59|paid
1736|ionic|north|sensor|12|paid
1442|fulton|north|gasket|69|held
1824|acme|north|valve|27|shipped
1322|ionic|east|sensor|26|pending
1584|harbor|east|frame|23|shipped
1559|dorian|east|gasket|51|pending
1816|juno|west|cable|16|held
1379|acme|east|gasket|49|pending
1519|cobalt|south|cable|44|pending
1850|fulton|west|valve|37|pending
1476|gale|south|sensor|45|shipped
1647|harbor|west|gasket|95|shipped
1453|birch|north|sensor|56|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1288}},
{"tool": "restock", "args": {"item": "cable", "qty": 48}},
{"tool": "cancel_order", "args": {"order_id": 1304}},
{"tool": "restock", "args": {"item": "sensor", "qty": 51}},
{"tool": "restock", "args": {"item": "pump", "qty": 47}}
]correctagentic.tools.deploy-v1conf 100% · 390ms · $0.000 · 59 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc
- reports: search
- auth-svc: (none)
- search: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1conf 100% · 441ms · $0.000 · 191 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $545
- lima: $478
- delta: $366
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $312 from "kilo" to "delta"
2. pay $122 from "delta" to "lima"
3. pay $488 from "kilo" to "delta"
4. pay $452 from "delta" to "kilo"
5. pay $416 from "kilo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 312}},
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 122}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 255}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 488}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 452}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 124}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 416}}
]wrongagentic.tools.context-load-v1conf 100% · 513ms · $0.002 · 187 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 (288 records, format: id|customer|region|item|qty|status):
```
1963|dorian|east|gasket|86|paid
1533|juno|west|rotor|77|held
2133|harbor|west|panel|85|paid
1281|acme|south|valve|72|paid
2205|ember|west|gasket|62|pending
1215|acme|south|panel|49|pending
2177|ionic|south|gasket|92|pending
1278|gale|north|gasket|29|shipped
1998|dorian|west|rotor|99|pending
1866|cobalt|north|panel|98|shipped
1540|gale|north|pump|11|held
1375|fulton|north|sensor|24|held
1615|fulton|south|cable|43|shipped
1932|cobalt|east|valve|23|pending
2141|gale|east|gasket|51|shipped
1801|ember|south|pump|33|held
2064|harbor|east|gasket|71|shipped
1607|cobalt|south|sensor|72|pending
1163|juno|east|valve|61|shipped
1489|gale|north|panel|14|pending
1318|fulton|north|cable|13|pending
1130|juno|east|cable|42|shipped
2209|ionic|south|sensor|95|paid
1463|cobalt|south|sensor|71|pending
1619|birch|north|sensor|20|paid
1707|ember|east|rotor|35|paid
1583|dorian|south|frame|46|pending
1125|juno|west|cable|60|pending
1608|gale|south|frame|72|shipped
1189|juno|east|rotor|44|paid
1665|fulton|north|rotor|95|pending
1312|cobalt|south|rotor|91|paid
1502|fulton|south|cable|32|paid
1494|ionic|south|sensor|11|held
1207|harbor|west|pump|70|held
1879|ember|south|pump|21|shipped
1838|juno|west|valve|69|pending
1795|ember|west|cable|71|shipped
1694|acme|south|cable|85|shipped
2258|fulton|north|gasket|15|pending
1675|acme|south|pump|16|paid
1775|cobalt|west|gasket|48|pending
2239|cobalt|west|gasket|65|pending
1782|dorian|east|frame|37|held
1887|juno|east|gasket|34|pending
2038|dorian|west|panel|98|held
1552|gale|south|gasket|18|pending
1833|ionic|south|gasket|73|shipped
2061|harbor|north|frame|99|shipped
1367|acme|east|panel|56|paid
2216|juno|south|panel|23|shipped
1601|fulton|west|sensor|87|held
1611|harbor|east|valve|98|pending
1923|ember|north|frame|38|held
1507|fulton|west|cable|11|shipped
1402|ionic|west|frame|75|pending
1732|ionic|west|rotor|76|shipped
1572|ionic|west|cable|72|paid
1366|ember|north|panel|52|paid
1526|acme|west|gasket|83|held
1991|juno|south|frame|18|held
1304|ember|east|rotor|35|paid
2245|dorian|north|sensor|36|paid
1546|cobalt|east|rotor|22|paid
1699|birch|east|cable|43|paid
1738|juno|west|rotor|92|paid
2228|ember|north|sensor|85|shipped
2282|harbor|east|pump|52|shipped
2013|dorian|south|pump|40|paid
1646|birch|north|valve|66|shipped
1673|gale|north|sensor|71|paid
1653|acme|east|frame|47|pending
2089|gale|west|gasket|84|held
1521|gale|north|valve|37|held
2020|cobalt|west|pump|31|paid
1941|fulton|south|valve|10|shipped
1891|dorian|north|rotor|63|paid
1228|acme|south|rotor|49|pending
1397|juno|east|gasket|57|held
2014|cobalt|east|valve|56|paid
1855|ember|south|pump|14|paid
1438|acme|east|valve|92|shipped
2164|gale|east|panel|22|shipped
2108|birch|east|sensor|27|held
1768|juno|north|frame|18|paid
1761|ionic|south|rotor|79|shipped
1181|juno|east|valve|56|pending
1561|juno|west|frame|34|paid
2101|dorian|south|frame|26|pending
1939|dorian|east|cable|96|held
1514|gale|north|valve|55|shipped
2109|dorian|north|gasket|23|shipped
1143|juno|south|sensor|31|pending
1629|harbor|east|cable|35|paid
2193|dorian|south|pump|54|shipped
2084|birch|east|valve|57|held
1678|dorian|west|valve|17|paid
1698|harbor|east|frame|96|paid
1311|fulton|east|panel|28|held
1449|cobalt|south|cable|51|shipped
1687|juno|north|cable|89|held
1284|ionic|west|pump|11|paid
1965|birch|south|cable|68|pending
2284|gale|north|pump|65|held
1809|ember|west|panel|12|held
2252|harbor|north|sensor|49|held
1872|acme|west|gasket|58|paid
1332|gale|west|panel|86|shipped
1389|acme|east|pump|80|paid
1200|gale|north|panel|37|pending
1267|harbor|west|pump|13|pending
1428|harbor|north|rotor|18|pending
1859|acme|west|pump|75|held
1356|gale|east|cable|25|shipped
1846|birch|east|panel|31|held
2122|ember|west|frame|22|shipped
2043|harbor|east|frame|60|paid
1479|harbor|west|rotor|98|shipped
2037|acme|north|gasket|28|paid
1725|ionic|south|gasket|25|held
2003|ionic|north|gasket|29|held
1244|acme|east|pump|79|shipped
1294|gale|north|pump|58|shipped
1886|harbor|west|cable|34|shipped
1928|ionic|west|panel|91|pending
2195|birch|east|pump|31|pending
2079|ionic|west|valve|91|pending
1667|gale|north|cable|41|paid
1419|cobalt|west|rotor|53|paid
1913|birch|west|rotor|20|held
1325|fulton|east|frame|34|shipped
1344|acme|west|pump|77|held
1177|juno|east|valve|59|paid
1470|acme|north|valve|84|held
2059|ionic|west|gasket|69|shipped
2022|juno|south|pump|60|paid
1499|harbor|west|gasket|83|shipped
1816|juno|south|rotor|88|paid
1559|harbor|south|valve|94|pending
1234|ember|west|valve|72|held
1192|ionic|south|panel|82|paid
1896|harbor|north|valve|32|paid
1958|birch|south|rotor|28|paid
1834|acme|west|sensor|26|held
1156|juno|east|valve|55|pending
1213|harbor|west|sensor|48|paid
1172|juno|south|sensor|57|pending
2000|cobalt|east|rotor|61|pending
1167|juno|east|valve|38|pending
1584|harbor|south|cable|84|paid
2026|ionic|north|sensor|67|paid
1530|harbor|south|rotor|87|shipped
1379|ember|south|valve|82|held
1658|harbor|south|pump|19|held
1635|ember|west|frame|74|pending
1259|cobalt|north|panel|94|shipped
2120|cobalt|south|valve|70|paid
1821|ember|east|valve|93|pending
2090|ember|north|gasket|13|pending
1568|acme|east|valve|85|shipped
1157|juno|west|frame|49|pending
1843|acme|west|valve|35|pending
1733|juno|west|valve|49|held
1692|fulton|north|sensor|22|paid
2176|acme|south|sensor|67|paid
1251|dorian|east|valve|34|shipped
2264|juno|south|sensor|22|held
2006|fulton|east|pump|95|held
1328|gale|east|pump|65|paid
1626|acme|east|rotor|25|paid
2261|juno|north|cable|20|shipped
1750|ember|south|frame|49|pending
1649|ionic|west|sensor|29|held
1744|dorian|west|frame|31|shipped
1840|fulton|north|valve|78|held
1547|ember|west|valve|45|pending
2054|cobalt|east|cable|13|paid
1485|harbor|west|panel|74|held
2269|dorian|south|gasket|22|shipped
2148|gale|west|gasket|39|paid
1208|fulton|north|pump|62|pending
1790|acme|east|sensor|41|pending
1946|juno|east|valve|45|shipped
1525|juno|north|valve|11|pending
2138|acme|south|frame|48|paid
2114|harbor|west|panel|62|pending
1258|juno|south|panel|97|shipped
1341|gale|north|rotor|66|shipped
2272|fulton|east|gasket|29|paid
1974|juno|north|panel|92|held
1289|gale|north|frame|90|pending
1802|cobalt|north|frame|21|pending
1930|cobalt|west|sensor|45|held
2223|birch|east|pump|91|paid
1850|cobalt|east|pump|69|held
1818|juno|west|valve|31|held
2154|acme|west|pump|35|pending
1950|dorian|north|rotor|91|pending
1338|juno|south|panel|49|held
2192|birch|west|panel|58|pending
1388|acme|south|panel|32|held
2171|ionic|east|sensor|76|shipped
1369|juno|west|pump|99|pending
1136|juno|east|rotor|56|pending
2182|dorian|west|rotor|99|pending
2094|birch|south|valve|25|held
1478|cobalt|south|sensor|62|pending
2131|gale|west|gasket|43|pending
1915|dorian|west|cable|59|held
2113|ember|east|frame|51|held
1458|acme|south|pump|83|paid
1413|acme|east|gasket|44|pending
1302|gale|north|frame|94|pending
1639|harbor|west|rotor|96|shipped
1299|ionic|west|sensor|41|shipped
1785|cobalt|west|sensor|60|pending
1800|dorian|west|sensor|19|paid
1266|ionic|north|rotor|10|held
1968|acme|west|rotor|13|paid
2231|dorian|south|gasket|38|shipped
1216|dorian|south|sensor|68|shipped
1451|juno|west|gasket|15|pending
1363|ionic|east|frame|55|paid
1580|birch|east|panel|55|pending
2072|acme|south|panel|12|paid
1577|ionic|east|panel|86|pending
2168|ember|north|gasket|49|pending
1910|harbor|west|frame|94|held
1409|birch|south|cable|99|pending
1954|fulton|east|frame|27|shipped
2279|cobalt|east|rotor|81|pending
1286|gale|east|frame|66|shipped
1609|juno|west|panel|44|held
1396|harbor|south|valve|11|shipped
1350|ember|west|rotor|43|held
2147|harbor|east|sensor|39|shipped
1681|ember|east|pump|57|shipped
1717|juno|north|sensor|30|held
1705|cobalt|south|gasket|14|pending
1424|ionic|west|gasket|63|paid
2188|gale|west|sensor|23|paid
2238|ember|west|rotor|13|held
1714|acme|west|rotor|55|shipped
2157|ionic|south|sensor|96|pending
1441|harbor|south|cable|28|paid
2066|ember|west|gasket|59|paid
1219|fulton|north|rotor|67|shipped
1680|harbor|west|frame|14|shipped
1444|cobalt|east|cable|51|pending
1719|gale|east|valve|78|pending
1212|birch|east|cable|99|held
1819|dorian|west|gasket|99|held
1124|juno|east|sensor|87|pending
1509|ember|west|panel|12|held
1695|fulton|south|frame|80|shipped
1240|gale|west|cable|63|held
1471|gale|west|valve|57|shipped
2034|birch|south|pump|99|paid
1339|harbor|north|cable|62|held
1804|harbor|east|frame|29|shipped
1226|ionic|north|panel|86|shipped
1726|fulton|north|cable|99|paid
1841|harbor|south|pump|53|pending
2129|ionic|south|valve|78|paid
1386|fulton|south|pump|80|paid
1986|juno|east|pump|70|held
1351|cobalt|south|cable|85|held
1183|juno|north|gasket|11|pending
1149|juno|east|valve|16|paid
1195|dorian|east|rotor|22|pending
1918|fulton|south|valve|33|pending
1756|juno|east|pump|97|held
1457|fulton|west|cable|97|pending
2200|gale|west|panel|63|shipped
1903|harbor|east|frame|57|pending
2156|ionic|north|frame|42|paid
2126|harbor|south|panel|20|paid
1827|fulton|east|gasket|20|held
1693|ember|east|valve|22|held
2049|ember|east|rotor|92|pending
1597|ember|west|sensor|19|paid
1591|fulton|south|rotor|13|shipped
1399|gale|east|frame|48|held
1431|fulton|west|frame|50|shipped
2028|juno|east|sensor|65|pending
1320|dorian|west|gasket|21|held
1271|gale|east|frame|88|paid
1981|fulton|north|gasket|87|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1156}},
{"tool": "restock", "args": {"item": "rotor", "qty": 56}},
{"tool": "cancel_order", "args": {"order_id": 1167}},
{"tool": "cancel_order", "args": {"order_id": 1183}},
{"tool": "cancel_order", "args": {"order_id": 1397}},
{"tool": "cancel_order", "args": {"order_id": 1986}},
{"tool": "restock", "args": {"item": "pump", "qty": 70}},
{"tool": "restock", "args": {"item": "sensor", "qty": 65}},
{"tool": "restock", "args": {"item": "pump", "qty": 97}}
]correctagentic.tools.triage-v1conf 100% · 391ms · $0.000 · 172 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 → rivera
- auth → tanaka
- data → dubois
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 7)
2. "locked out after 2FA change" (category: auth, priority 9)
3. "uploads failing intermittently" (category: infra, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1conf 100% · 585ms · $0.000 · 109 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: gateway
- notifier: gateway
- reports: gateway
- gateway: (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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1conf 100% · 494ms · $0.000 · 235 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $342
- oscar: $718
- delta: $863
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $200 from "delta" to "oscar"
2. pay $375 from "lima" to "delta"
3. pay $223 from "delta" to "oscar"
4. pay $428 from "lima" to "oscar"
5. pay $482 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 200}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 33}},
{"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 375}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 223}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 378}},
{"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 428}},
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 482}}
]correctagentic.tools.triage-v1conf 100% · 488ms · $0.000 · 219 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 → chen
- payments → novak
- auth → okafor
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 2)
2. "webhooks not delivered" (category: infra, priority 2)
3. "SSO loop on login" (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": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}
]wrongagentic.tools.context-load-v1conf 100% · 458ms · $0.001 · 88 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 (150 records, format: id|customer|region|item|qty|status):
```
1681|acme|north|rotor|49|paid
1369|ember|east|gasket|83|shipped
1563|fulton|west|rotor|29|paid
1565|juno|south|valve|47|shipped
1260|acme|east|valve|38|pending
1265|acme|west|gasket|12|shipped
1618|gale|south|sensor|70|paid
1465|dorian|north|rotor|28|paid
1760|juno|west|valve|78|pending
1768|ionic|east|rotor|23|held
1272|ionic|south|rotor|97|held
1482|harbor|north|valve|75|pending
1342|gale|north|gasket|10|paid
1411|fulton|north|pump|12|shipped
1355|harbor|west|valve|21|held
1474|dorian|west|valve|37|paid
1310|birch|west|gasket|25|shipped
1209|acme|west|gasket|99|pending
1622|fulton|south|cable|73|pending
1485|cobalt|east|cable|87|paid
1397|ionic|north|gasket|26|shipped
1597|ember|west|rotor|99|paid
1381|dorian|south|pump|47|held
1298|acme|east|panel|30|pending
1420|birch|west|sensor|25|pending
1525|harbor|north|valve|94|shipped
1519|dorian|north|sensor|78|pending
1562|juno|south|panel|28|paid
1497|fulton|west|rotor|86|held
1612|juno|north|pump|72|paid
1637|harbor|west|valve|77|held
1515|harbor|south|valve|88|paid
1416|acme|west|gasket|51|paid
1299|ionic|west|pump|41|pending
1394|harbor|east|frame|98|held
1616|fulton|north|cable|67|paid
1526|ionic|north|pump|88|shipped
1735|dorian|west|panel|80|paid
1439|harbor|west|gasket|58|paid
1417|ionic|south|cable|50|shipped
1251|acme|east|panel|17|pending
1244|acme|west|gasket|15|held
1787|ember|north|panel|50|pending
1306|ionic|west|frame|42|pending
1491|ionic|west|cable|28|held
1772|ember|south|sensor|84|paid
1540|harbor|south|rotor|18|pending
1654|harbor|north|sensor|19|held
1583|ionic|north|valve|74|held
1590|acme|north|gasket|83|pending
1492|harbor|east|frame|67|paid
1225|acme|north|valve|35|pending
1390|gale|south|pump|23|shipped
1762|cobalt|east|frame|72|pending
1703|ember|east|sensor|92|shipped
1242|acme|south|rotor|67|pending
1396|gale|south|gasket|37|paid
1716|acme|west|sensor|53|held
1359|cobalt|south|sensor|77|paid
1666|dorian|south|panel|54|held
1278|cobalt|south|gasket|80|pending
1434|harbor|south|frame|84|paid
1305|fulton|south|gasket|12|pending
1585|birch|south|pump|58|held
1469|harbor|south|sensor|54|pending
1643|gale|east|panel|84|paid
1468|fulton|south|panel|83|shipped
1757|gale|east|pump|27|pending
1506|ionic|south|sensor|67|pending
1337|fulton|north|valve|78|held
1363|gale|east|panel|35|pending
1536|ionic|south|cable|45|pending
1780|acme|east|frame|56|held
1638|birch|north|frame|32|shipped
1671|cobalt|south|rotor|48|shipped
1235|acme|west|gasket|49|pending
1728|acme|west|gasket|43|pending
1463|birch|west|frame|19|shipped
1529|juno|north|frame|54|held
1228|acme|west|valve|50|paid
1661|ionic|south|valve|61|shipped
1634|fulton|south|cable|20|paid
1330|cobalt|south|rotor|79|paid
1611|fulton|north|valve|63|pending
1427|harbor|west|rotor|25|held
1602|cobalt|north|sensor|59|paid
1211|acme|north|valve|96|pending
1713|acme|south|gasket|44|held
1376|ember|north|gasket|39|held
1252|acme|west|rotor|64|held
1404|cobalt|east|rotor|97|shipped
1560|juno|north|frame|10|shipped
1557|harbor|north|gasket|45|pending
1449|fulton|south|pump|10|paid
1734|dorian|west|sensor|64|pending
1524|cobalt|east|valve|96|paid
1315|fulton|south|panel|93|shipped
1443|gale|west|gasket|92|paid
1699|juno|north|pump|46|held
1267|dorian|north|valve|82|shipped
1628|juno|south|valve|54|paid
1707|acme|east|valve|14|paid
1614|dorian|west|cable|54|held
1348|acme|east|valve|56|pending
1341|juno|south|frame|80|shipped
1782|juno|east|sensor|11|shipped
1746|ember|south|rotor|35|shipped
1456|acme|east|sensor|57|pending
1476|ionic|west|gasket|51|paid
1513|cobalt|north|sensor|24|held
1328|birch|south|gasket|66|pending
1750|cobalt|east|panel|39|paid
1692|dorian|east|cable|78|held
1250|acme|west|cable|17|pending
1440|dorian|north|sensor|38|held
1568|gale|south|pump|95|pending
1431|harbor|east|pump|54|shipped
1655|birch|east|cable|39|shipped
1215|acme|west|frame|54|paid
1776|fulton|south|panel|48|shipped
1646|juno|south|cable|46|pending
1514|ionic|north|cable|95|shipped
1546|gale|east|sensor|57|held
1550|ember|north|gasket|21|paid
1266|birch|north|panel|41|held
1383|harbor|west|valve|79|paid
1268|ionic|south|panel|26|paid
1577|ember|north|sensor|77|shipped
1745|gale|east|gasket|37|paid
1368|ember|west|frame|92|shipped
1725|fulton|north|rotor|58|held
1322|juno|north|frame|34|shipped
1285|gale|north|panel|17|shipped
1695|ionic|east|gasket|11|pending
1398|fulton|north|valve|34|paid
1678|ionic|west|frame|20|shipped
1502|cobalt|south|panel|31|pending
1220|acme|west|pump|69|pending
1366|birch|south|gasket|53|pending
1718|juno|east|gasket|77|paid
1572|cobalt|east|rotor|40|pending
1542|gale|south|cable|93|shipped
1259|acme|west|panel|20|pending
1668|cobalt|west|cable|57|held
1292|harbor|west|pump|44|shipped
1685|dorian|west|frame|75|pending
1648|fulton|south|valve|29|paid
1604|cobalt|south|cable|99|held
1739|cobalt|east|rotor|67|shipped
1691|dorian|south|gasket|40|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 1209}},
{"tool": "cancel_order", "args": {"order_id": 1235}},
{"tool": "cancel_order", "args": {"order_id": 1250}},
{"tool": "cancel_order", "args": {"order_id": 1259}},
{"tool": "cancel_order", "args": {"order_id": 1728}}
]wrongagentic.tools.deploy-v1conf 100% · 512ms · $0.000 · 59 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: gateway
- reports: gateway, notifier
- billing: gateway, notifier
- gateway: (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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1conf 100% · 388ms · $0.000 · 161 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $174
- kilo: $350
- oscar: $724
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $245 from "oscar" to "kilo"
2. pay $459 from "delta" to "oscar"
3. pay $205 from "kilo" to "delta"
4. pay $491 from "kilo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 245}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 285}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 459}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 205}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 100}},
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 491}}
]correctagentic.tools.triage-v1conf 100% · 369ms · $0.000 · 197 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → haddad
- data → tanaka
- infra → novak
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 8)
2. "export file corrupted" (category: data, priority 9)
3. "SSO loop on login" (category: auth, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1conf 100% · 900ms · $0.001 · 113 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 (270 records, format: id|customer|region|item|qty|status):
```
1836|fulton|south|pump|55|paid
1568|gale|west|rotor|20|paid
2252|cobalt|west|pump|80|pending
1864|fulton|east|pump|71|paid
2037|gale|east|gasket|16|paid
1322|dorian|east|cable|64|pending
1761|birch|east|frame|62|paid
1468|juno|west|cable|81|shipped
1706|cobalt|west|valve|81|paid
1596|acme|south|gasket|25|paid
2031|acme|south|cable|39|paid
1790|acme|north|rotor|69|held
1638|acme|west|cable|38|shipped
1931|acme|north|cable|83|pending
1690|fulton|north|valve|46|pending
1740|gale|south|valve|61|held
1805|gale|north|valve|28|paid
1431|harbor|north|rotor|14|shipped
1901|juno|south|pump|31|paid
1252|gale|north|cable|10|held
1717|fulton|west|cable|58|held
1642|fulton|west|pump|66|held
2003|ember|south|cable|17|paid
2068|juno|north|sensor|29|held
2210|ionic|west|rotor|48|pending
1961|ember|north|frame|84|paid
1975|acme|east|rotor|62|pending
1854|cobalt|east|rotor|83|held
1647|juno|south|cable|98|pending
1906|dorian|north|valve|78|paid
2112|cobalt|south|panel|86|paid
2316|ember|west|pump|70|paid
1589|juno|east|pump|11|held
1829|cobalt|north|frame|95|paid
1306|gale|north|frame|33|paid
2133|ionic|west|pump|91|shipped
1994|acme|south|gasket|26|pending
1458|juno|south|panel|14|pending
1955|cobalt|east|panel|17|paid
1679|fulton|west|frame|84|paid
1494|fulton|west|sensor|18|held
1893|fulton|east|pump|83|shipped
1545|ember|west|cable|64|paid
1723|fulton|west|frame|76|shipped
2012|acme|east|sensor|16|pending
1960|fulton|east|sensor|34|pending
1926|fulton|south|sensor|77|held
1984|gale|west|frame|64|pending
1302|gale|south|cable|90|pending
2282|cobalt|west|panel|24|shipped
1932|gale|north|rotor|41|shipped
1576|acme|east|sensor|77|paid
2160|ionic|east|sensor|14|held
1585|birch|west|gasket|45|shipped
1713|cobalt|west|frame|84|shipped
1401|fulton|south|pump|90|pending
1826|acme|north|frame|59|pending
2279|ember|west|sensor|41|pending
2100|ember|south|pump|47|paid
1883|fulton|east|cable|70|pending
2119|juno|east|valve|88|paid
2247|cobalt|north|rotor|50|shipped
1633|acme|north|gasket|54|pending
1656|dorian|south|pump|14|pending
1331|harbor|north|rotor|26|held
1967|fulton|east|pump|41|held
2319|acme|south|frame|21|paid
1400|ionic|south|rotor|10|held
1959|juno|west|panel|58|paid
1281|gale|north|rotor|59|shipped
2170|birch|east|panel|80|held
1907|cobalt|north|valve|54|paid
1850|fulton|west|cable|31|paid
1248|gale|west|frame|61|pending
2197|fulton|north|pump|41|shipped
1915|birch|south|cable|60|held
2175|ember|north|cable|88|pending
1814|juno|west|frame|56|pending
1669|juno|north|frame|77|held
2188|cobalt|west|rotor|88|held
1512|acme|north|rotor|38|pending
1727|ionic|west|sensor|99|held
1377|cobalt|south|gasket|74|pending
2304|acme|north|pump|53|held
1800|fulton|west|gasket|71|shipped
1674|gale|south|cable|87|held
1270|gale|north|pump|14|pending
1886|ember|south|sensor|62|pending
1857|juno|south|frame|49|shipped
2010|birch|west|rotor|82|paid
1332|cobalt|east|gasket|33|paid
1636|ember|south|panel|70|shipped
2079|dorian|east|pump|16|held
1500|acme|north|valve|74|held
2009|acme|north|valve|49|shipped
1692|ionic|east|sensor|63|paid
1469|ionic|east|valve|99|pending
1985|birch|west|cable|33|shipped
2110|harbor|west|panel|23|shipped
2228|ionic|north|sensor|20|pending
1968|gale|south|cable|11|held
2117|birch|east|pump|80|held
2074|ionic|north|cable|59|shipped
1289|gale|south|sensor|30|pending
1611|juno|east|panel|95|paid
2138|birch|west|sensor|49|paid
1343|cobalt|south|valve|28|paid
1943|dorian|west|valve|97|pending
2025|fulton|east|panel|96|shipped
1326|dorian|south|valve|94|shipped
1887|acme|south|frame|75|held
2204|harbor|south|frame|62|paid
1420|harbor|north|sensor|26|paid
2151|fulton|east|pump|18|shipped
2145|ionic|north|cable|62|held
1612|birch|east|cable|40|held
1888|cobalt|south|sensor|96|held
1837|fulton|east|valve|65|paid
1492|juno|west|frame|55|held
1534|dorian|north|cable|58|paid
1962|juno|north|cable|72|held
1822|juno|west|rotor|48|shipped
1953|ember|north|frame|19|held
2289|acme|north|gasket|89|held
1341|acme|west|cable|51|held
2129|gale|south|sensor|66|shipped
1539|gale|north|sensor|61|shipped
1882|juno|west|sensor|60|paid
1654|ember|west|panel|34|shipped
2277|juno|west|panel|45|pending
1899|acme|north|panel|28|paid
1834|cobalt|north|pump|95|held
1242|gale|north|panel|86|pending
1668|ember|south|valve|28|held
2019|acme|north|valve|25|shipped
1639|birch|north|pump|15|paid
2085|ember|east|sensor|36|paid
2066|cobalt|west|gasket|90|shipped
1423|gale|east|frame|62|held
1393|dorian|south|cable|63|held
2065|ember|west|panel|89|pending
1528|ionic|south|gasket|70|paid
1397|dorian|south|panel|87|shipped
1284|gale|north|cable|94|pending
2048|acme|south|frame|50|held
1981|fulton|south|frame|51|held
2198|birch|south|frame|55|held
1482|acme|west|cable|55|held
1815|gale|west|pump|73|pending
1795|ionic|west|rotor|97|pending
2064|ember|east|gasket|28|held
1518|acme|south|frame|73|paid
1350|ionic|south|valve|91|paid
1659|acme|east|panel|56|held
1428|harbor|east|rotor|58|held
1732|cobalt|west|valve|71|shipped
2238|harbor|north|cable|74|paid
1551|fulton|east|valve|28|held
1671|dorian|east|valve|37|held
1572|ember|south|panel|98|shipped
1426|dorian|south|frame|51|paid
1629|fulton|west|sensor|50|paid
1623|dorian|south|frame|54|paid
1749|acme|south|pump|34|held
1867|cobalt|south|valve|47|paid
2245|gale|west|valve|83|shipped
2123|harbor|east|rotor|36|held
1403|ember|south|gasket|21|shipped
2154|birch|north|sensor|69|held
1874|ionic|east|sensor|97|shipped
1938|juno|west|sensor|40|pending
1616|gale|west|gasket|21|shipped
1295|gale|north|valve|77|shipped
2294|dorian|west|panel|96|shipped
1515|dorian|west|rotor|58|shipped
1770|acme|west|gasket|69|shipped
1383|cobalt|north|pump|50|shipped
2096|ember|north|pump|31|shipped
2106|harbor|east|pump|35|held
2259|gale|east|rotor|87|held
1877|acme|east|gasket|54|shipped
1451|harbor|north|pump|24|pending
1337|gale|south|frame|45|pending
2021|acme|west|gasket|63|shipped
2320|juno|west|valve|92|paid
1309|ember|south|gasket|38|shipped
1904|gale|south|rotor|63|pending
1764|gale|east|frame|35|held
2207|harbor|east|sensor|50|paid
2063|fulton|north|frame|21|paid
1489|ionic|south|cable|68|held
2024|ionic|south|valve|40|pending
2041|ionic|east|gasket|40|shipped
2067|fulton|north|panel|11|pending
1604|birch|east|rotor|17|paid
1697|fulton|north|rotor|99|paid
1372|ember|south|valve|89|shipped
1777|dorian|north|valve|12|shipped
1516|acme|west|panel|28|held
2029|ionic|south|valve|18|shipped
2301|juno|east|valve|89|pending
2161|ionic|north|frame|98|shipped
1506|dorian|south|pump|34|shipped
1418|ember|north|rotor|53|held
1275|gale|east|sensor|61|pending
2181|cobalt|south|valve|29|paid
1919|ember|north|rotor|38|paid
2219|juno|west|rotor|59|paid
2208|ionic|west|rotor|50|shipped
1678|juno|west|cable|52|pending
1434|birch|east|cable|98|paid
1445|ember|south|valve|79|paid
2312|fulton|west|valve|44|paid
1299|gale|north|frame|28|pending
2212|cobalt|east|valve|23|pending
1334|harbor|west|panel|53|pending
1912|juno|north|sensor|82|held
1843|fulton|south|pump|60|shipped
1411|acme|east|cable|50|pending
2039|harbor|north|valve|96|held
2220|ionic|east|rotor|46|pending
1450|juno|east|pump|36|paid
1811|acme|north|panel|74|held
1590|ember|south|cable|88|shipped
1754|gale|south|sensor|26|pending
2223|birch|west|valve|20|pending
1365|harbor|north|pump|76|paid
1911|fulton|north|sensor|96|pending
1552|ember|south|frame|82|held
1996|cobalt|west|panel|11|shipped
2263|dorian|west|valve|10|pending
1262|gale|south|frame|81|pending
1564|fulton|north|valve|69|paid
1311|fulton|west|pump|80|paid
2056|cobalt|south|frame|78|shipped
1946|fulton|east|panel|16|held
2072|fulton|west|panel|75|shipped
1439|acme|north|valve|72|held
2233|harbor|north|valve|23|pending
1701|gale|east|sensor|88|pending
1992|cobalt|south|panel|98|shipped
1461|fulton|north|gasket|20|shipped
1317|ionic|east|sensor|29|held
1256|gale|north|panel|12|pending
1735|harbor|west|panel|33|paid
2090|juno|west|pump|92|held
1745|ionic|west|rotor|45|held
1268|gale|north|valve|97|held
1808|ionic|north|sensor|85|paid
1783|juno|east|gasket|53|held
2309|dorian|north|gasket|52|pending
1479|ember|east|valve|63|pending
1662|dorian|north|gasket|33|shipped
1602|fulton|north|valve|70|paid
1410|birch|south|valve|50|paid
2052|juno|north|sensor|12|pending
1389|harbor|south|sensor|29|held
1473|birch|east|rotor|69|shipped
2195|birch|east|valve|52|paid
1357|ember|east|frame|53|held
1686|juno|east|pump|72|pending
1324|fulton|north|panel|84|pending
1559|harbor|east|pump|96|pending
2270|dorian|west|cable|18|paid
1581|fulton|north|cable|73|pending
1525|dorian|east|frame|67|held
1929|acme|north|panel|61|pending
1359|dorian|east|pump|21|pending
2166|gale|east|pump|18|held
1730|ionic|north|frame|51|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "north" 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": "cancel_order", "args": {"order_id": 1242}},
{"tool": "cancel_order", "args": {"order_id": 1270}},
{"tool": "restock", "args": {"item": "cable", "qty": 94}},
{"tool": "cancel_order", "args": {"order_id": 1299}}
]correctagentic.tools.deploy-v1conf 100% · 760ms · $0.000 · 109 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc, notifier
- gateway: notifier
- notifier: 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 "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.triage-v1conf 100% · 386ms · $0.000 · 188 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → okafor
- auth → chen
- infra → rivera
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 8)
2. "invoice total wrong" (category: payments, priority 8)
3. "webhooks not delivered" (category: infra, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}
]wrongagentic.tools.ledger-v1conf 100% · 344ms · $0.000 · 125 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: $518
- oscar: $799
- lima: $820
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $142 from "alpha" to "oscar"
2. pay $436 from "oscar" to "lima"
3. pay $433 from "lima" to "alpha"
4. pay $277 from "alpha" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 142}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 436}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 49}},
{"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 433}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 277}}
]correctagentic.tools.deploy-v1conf 100% · 710ms · $0.000 · 109 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc, reports
- notifier: auth-svc, billing
- reports: 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 "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.context-load-v1conf 100% · 463ms · $0.001 · 67 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 (245 records, format: id|customer|region|item|qty|status):
```
1238|fulton|north|valve|90|paid
1477|fulton|east|pump|88|pending
1894|harbor|west|sensor|91|paid
1403|fulton|south|valve|19|pending
1857|harbor|west|rotor|20|shipped
1213|dorian|south|sensor|34|paid
1489|birch|east|frame|78|pending
1713|fulton|west|gasket|86|shipped
1659|gale|west|panel|34|shipped
1430|acme|north|cable|28|paid
1891|harbor|north|panel|17|shipped
1545|acme|west|cable|77|held
1476|harbor|east|pump|55|pending
1651|harbor|south|valve|76|pending
1408|birch|east|cable|90|held
1749|ember|east|sensor|83|held
2018|gale|west|valve|84|paid
1587|acme|west|cable|67|pending
1930|juno|west|rotor|50|held
1070|ember|south|cable|30|paid
1570|ember|east|valve|50|held
1702|gale|north|sensor|69|paid
2005|harbor|north|valve|64|shipped
1965|gale|south|pump|66|shipped
1936|harbor|west|gasket|95|shipped
1095|cobalt|south|frame|50|pending
1614|cobalt|north|cable|11|shipped
1089|ember|north|valve|17|pending
1398|dorian|east|pump|46|held
1125|juno|west|sensor|60|pending
1970|dorian|south|frame|67|paid
1736|juno|east|sensor|92|held
1987|fulton|north|cable|15|pending
1602|juno|north|rotor|16|shipped
1580|ionic|south|pump|25|held
1739|harbor|west|frame|21|pending
1684|gale|west|rotor|32|paid
1276|gale|east|rotor|93|shipped
1981|ember|east|panel|96|pending
1696|fulton|south|pump|73|shipped
2008|acme|south|frame|73|held
1840|juno|north|cable|22|paid
1159|ember|north|pump|19|paid
1221|acme|west|rotor|61|held
1635|harbor|west|cable|48|held
1442|acme|south|pump|64|held
1893|fulton|west|gasket|54|shipped
1972|fulton|north|valve|83|shipped
1519|gale|west|cable|69|pending
1338|juno|west|cable|37|held
2015|ionic|west|panel|66|paid
1918|juno|west|gasket|32|paid
1542|birch|west|rotor|62|pending
1286|gale|north|cable|24|pending
1263|cobalt|south|panel|41|pending
1551|fulton|south|pump|49|paid
1763|birch|west|gasket|61|pending
1219|acme|east|valve|33|paid
1958|birch|east|valve|90|pending
1625|harbor|north|valve|92|paid
1744|birch|north|valve|20|pending
1312|gale|north|frame|83|shipped
1852|gale|west|gasket|63|held
1904|juno|north|frame|91|paid
1348|birch|west|frame|50|shipped
1101|ember|north|cable|45|paid
1186|harbor|north|pump|66|held
1812|fulton|north|frame|64|held
1517|dorian|west|frame|52|pending
1328|acme|north|valve|49|pending
1068|ember|east|panel|67|pending
1324|acme|north|pump|90|held
1333|ember|south|valve|92|pending
1368|ionic|west|frame|40|paid
1377|ionic|south|pump|45|pending
1387|dorian|west|panel|30|paid
1846|juno|west|sensor|68|paid
1078|ember|south|frame|62|paid
1832|acme|south|sensor|63|shipped
1864|harbor|west|cable|19|held
1317|ember|west|frame|76|pending
1419|fulton|south|gasket|48|held
1716|fulton|east|cable|27|pending
1886|dorian|east|gasket|34|pending
1122|harbor|north|sensor|43|held
1900|harbor|west|frame|21|pending
1810|fulton|east|panel|91|pending
1990|birch|south|frame|35|held
1141|ionic|west|sensor|78|held
1289|fulton|west|cable|54|paid
1108|harbor|north|rotor|90|held
1948|fulton|west|valve|36|shipped
1310|birch|north|pump|13|held
1383|acme|south|valve|76|held
1662|ionic|south|cable|62|held
1472|acme|south|frame|15|pending
1311|birch|south|gasket|58|paid
1914|harbor|north|cable|89|paid
1819|birch|west|pump|63|paid
1440|ionic|west|pump|36|held
1396|acme|east|cable|84|pending
1467|dorian|east|rotor|40|held
1412|ionic|west|panel|28|held
1628|birch|south|frame|22|shipped
1227|ember|south|pump|91|shipped
1479|ember|west|cable|64|pending
1782|acme|west|rotor|92|paid
1951|harbor|west|cable|68|held
1632|harbor|west|pump|63|held
1077|ember|east|rotor|52|pending
1678|ionic|west|pump|89|held
1496|fulton|north|sensor|37|shipped
1321|juno|west|frame|52|shipped
1293|gale|east|frame|81|held
1179|harbor|south|rotor|34|pending
1800|juno|west|pump|30|shipped
1502|birch|east|panel|20|held
1371|harbor|south|valve|73|held
1351|fulton|south|gasket|52|shipped
1359|cobalt|south|sensor|69|held
1779|harbor|north|rotor|19|pending
1931|cobalt|south|panel|80|shipped
1630|ember|south|cable|46|pending
1611|birch|north|frame|60|held
1998|ionic|south|pump|65|held
1265|dorian|west|panel|78|paid
1187|harbor|north|rotor|42|shipped
1896|ionic|south|cable|39|shipped
1806|harbor|west|sensor|59|pending
1326|ionic|west|frame|64|held
1759|juno|east|cable|48|pending
1385|acme|west|gasket|15|shipped
1711|ember|north|sensor|60|paid
1290|fulton|west|panel|89|paid
1172|dorian|south|pump|77|paid
1883|dorian|east|valve|85|held
1828|ember|south|valve|27|shipped
1139|juno|east|pump|11|pending
1470|birch|south|valve|13|paid
1691|juno|east|rotor|98|held
1752|ionic|west|cable|53|shipped
1458|juno|west|sensor|88|pending
1669|cobalt|east|panel|47|pending
1788|birch|south|panel|66|paid
1210|fulton|north|gasket|82|paid
1605|birch|south|pump|95|pending
1504|fulton|east|frame|79|paid
1674|gale|south|gasket|56|shipped
1192|dorian|north|frame|54|pending
1613|dorian|west|gasket|48|shipped
1266|dorian|east|gasket|42|pending
1682|ionic|south|pump|33|shipped
1309|harbor|south|gasket|93|paid
1772|ember|south|cable|49|held
1905|birch|north|pump|96|shipped
1871|fulton|west|sensor|80|shipped
1539|ember|north|pump|94|shipped
1942|dorian|north|frame|35|pending
1169|gale|south|valve|39|pending
1204|juno|west|rotor|74|paid
1132|fulton|south|gasket|13|shipped
2019|fulton|west|cable|64|held
1247|dorian|west|valve|82|pending
1645|harbor|west|sensor|87|pending
1776|harbor|south|cable|23|shipped
1638|harbor|east|panel|97|pending
1924|cobalt|west|panel|35|held
1757|gale|east|frame|65|paid
1601|gale|south|valve|28|shipped
1426|juno|north|frame|72|paid
1090|ember|south|panel|19|shipped
1767|harbor|east|frame|74|shipped
1802|dorian|north|panel|24|paid
1250|ember|north|rotor|52|pending
1358|acme|north|cable|85|shipped
1508|fulton|south|valve|86|paid
1704|dorian|east|valve|31|shipped
1594|ionic|north|rotor|93|held
1389|ionic|west|cable|44|paid
1618|juno|west|rotor|65|held
1364|fulton|north|frame|17|held
1910|gale|east|cable|84|pending
1599|juno|north|pump|97|paid
1991|cobalt|north|cable|66|pending
1939|birch|east|sensor|93|shipped
1530|birch|west|sensor|34|shipped
1116|harbor|north|pump|32|pending
1427|acme|west|panel|99|paid
1308|ionic|north|valve|33|pending
1562|ionic|south|frame|88|held
1537|ionic|south|frame|25|shipped
1878|ionic|east|cable|12|shipped
1151|acme|west|frame|77|pending
1272|juno|south|gasket|24|paid
1947|harbor|east|cable|89|paid
1877|dorian|east|frame|32|pending
1729|cobalt|east|pump|83|pending
2010|acme|west|valve|63|shipped
1082|ember|south|valve|74|pending
1195|fulton|west|pump|91|shipped
1245|dorian|north|frame|79|paid
1137|harbor|south|cable|38|shipped
1463|gale|west|sensor|91|held
1109|dorian|north|cable|73|shipped
1794|gale|east|cable|75|shipped
1555|fulton|north|pump|20|pending
1835|cobalt|west|sensor|23|shipped
1330|fulton|west|rotor|94|pending
1152|juno|east|frame|75|pending
1564|gale|west|frame|84|held
1295|birch|west|gasket|55|paid
1790|ember|east|sensor|43|pending
1166|fulton|south|cable|53|shipped
1066|ember|south|valve|77|pending
1887|ember|east|cable|69|pending
1978|ember|north|pump|68|paid
1655|birch|west|sensor|71|held
1150|ember|south|gasket|20|held
1130|fulton|south|gasket|23|shipped
1148|juno|east|cable|63|paid
1336|cobalt|north|cable|41|shipped
1202|ember|north|valve|83|pending
1071|ember|south|rotor|78|pending
1129|juno|east|cable|80|shipped
1484|acme|west|rotor|77|shipped
1722|ionic|south|pump|61|paid
1634|fulton|west|valve|96|shipped
1431|harbor|north|cable|86|paid
1119|harbor|west|frame|80|paid
1448|dorian|east|frame|45|paid
1451|ionic|east|frame|45|pending
1361|acme|south|rotor|38|held
1232|juno|west|panel|84|shipped
1343|harbor|east|gasket|87|held
1699|ionic|south|sensor|68|shipped
1301|ember|north|sensor|93|pending
1433|harbor|north|gasket|24|held
1573|dorian|south|valve|73|paid
1821|ember|north|cable|93|pending
1922|juno|south|panel|59|held
1523|ionic|west|frame|24|shipped
1256|fulton|north|panel|96|held
1512|ember|south|gasket|44|held
1639|dorian|south|panel|62|pending
1281|harbor|west|cable|56|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, 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": "valve", "qty": 92}},
{"tool": "restock", "args": {"item": "cable", "qty": 46}},
{"tool": "cancel_order", "args": {"order_id": 1662}},
{"tool": "restock", "args": {"item": "cable", "qty": 49}}
]wrongagentic.tools.ledger-v1conf 100% · 326ms · $0.000 · 152 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $159
- tango: $466
- echo: $122
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $383 from "delta" to "echo"
2. pay $466 from "tango" to "delta"
3. pay $255 from "echo" to "delta"
4. pay $386 from "echo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 224}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 383}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 466}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 255}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 386}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 386}}
]correctagentic.tools.triage-v1conf 100% · 453ms · $0.000 · 145 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → chen
- auth → novak
- infra → dubois
INCIDENTS:
1. "refund double-charged" (category: payments, priority 6)
2. "refund double-charged" (category: payments, priority 6)
3. "API latency spikes" (category: infra, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}
]wrongagentic.tools.context-load-v1anchorconf 100% · 757ms · $0.001 · 164 tok
model answer:
[
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}},
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}}
]correctagentic.tools.deploy-v1anchorconf 100% · 683ms · $0.000 · 109 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 653ms · $0.000 · 237 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": 51}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]correctagentic.tools.triage-v1anchorconf 100% · 579ms · $0.001 · 275 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]code 29/30 correct
correctcode.trace.nested-v1conf 100% · 547ms · $0.001 · 926 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
245correctcode.trace.js-v1conf 100% · 396ms · $0.000 · 168 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 3) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90correctcode.trace.nested-v1conf 100% · 388ms · $0.001 · 851 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 6 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
240correctcode.trace.python-v1conf 100% · 610ms · $0.001 · 584 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 6
while total + v <= 94:
if v % 7 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
66correctcode.trace.js-v1conf 100% · 472ms · $0.000 · 203 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 4) .filter(n => n % 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:
60correctcode.trace.python-v1conf 100% · 341ms · $0.001 · 345 tok
question
What does this Python program print?
```python
total = 0
v = 11
while total + v <= 59:
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:
41correctcode.trace.nested-v1conf 100% · 467ms · $0.001 · 918 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
211correctcode.trace.js-v1conf 100% · 689ms · $0.000 · 293 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 2) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
54correctcode.trace.python-v1conf 100% · 427ms · $0.001 · 501 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 14
while total + v <= 115:
if v % 5 != 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:
74correctcode.trace.nested-v1conf 100% · 560ms · $0.001 · 684 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
167correctcode.trace.js-v1conf 100% · 642ms · $0.000 · 176 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6, 7]; const out = arr .map(n => n * 3) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
15correctcode.trace.python-v1conf 100% · 721ms · $0.001 · 419 tok
question
What does this Python program print?
```python
total = 0
v = 6
while total + v <= 33:
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:
24correctcode.trace.js-v1conf 100% · 339ms · $0.000 · 293 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
144correctcode.trace.nested-v1conf 100% · 463ms · $0.001 · 449 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.python-v1conf 100% · 600ms · $0.001 · 449 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 5
while total + v <= 93:
if v % 4 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
77wrongcode.trace.nested-v1conf 100% · 760ms · $0.001 · 615 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 5 and i % 2 == 0:
break
if (i + j) % 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:
445correctcode.trace.js-v1conf 100% · 394ms · $0.000 · 191 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 2) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150correctcode.trace.python-v1conf 100% · 649ms · $0.001 · 623 tok
question
What does this Python program print?
```python
total = 0
v = 13
while total + v <= 119:
if v % 4 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
115correctcode.trace.js-v1conf 100% · 369ms · $0.000 · 278 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 % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
234correctcode.trace.nested-v1conf 100% · 320ms · $0.001 · 838 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 6 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
284correctcode.trace.python-v1conf 100% · 611ms · $0.001 · 396 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 7
while total + v <= 33:
if v % 3 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
30correctcode.trace.nested-v1conf 100% · 379ms · $0.001 · 706 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) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
114correctcode.trace.js-v1conf 100% · 474ms · $0.001 · 341 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
500correctcode.trace.python-v1conf 100% · 390ms · $0.001 · 410 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 64:
if v % 7 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
52correctcode.trace.js-v1conf 100% · 416ms · $0.001 · 309 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
696correctcode.trace.nested-v1conf 100% · 589ms · $0.001 · 520 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
108correctcode.trace.python-v1anchorconf 100% · 607ms · $0.001 · 600 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 434ms · $0.001 · 816 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 517ms · $0.000 · 229 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 632ms · $0.001 · 459 tok
model answer:
40instruction following 21/30 correct
correctif.format.repeat-v1conf 100% · 577ms · $0.000 · 26 tok
question
Write the word "comet" in lowercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet_comet_cometcorrectif.format.acronym-v1conf 100% · 532ms · $0.000 · 89 tok
question
Take the first letter of each of these words, in order: lumen, prism, basalt, orbit, ember, 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:
LPBOEDwrongif.constraints.stack-v1conf 100% · 337ms · $0.000 · 43 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "ember" and the last word must be "cedar". 3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember blue waves wash the tundra cold as the tundra salt air hits the cedar.wrongif.constraints.stack-v1conf 100% · 433ms · $0.000 · 42 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "orbit" and the last word must be "quartz". 3. Use the word "falcon" 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:
orbit falcon falcon falcon across vast cold dark space toward the distant glowing red quartzcorrectif.format.acronym-v1conf 100% · 530ms · $0.000 · 69 tok
question
Take the second letter of each of these words, in order: ember, delta, echo, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MECLcorrectif.format.repeat-v1conf 100% · 332ms · $0.000 · 33 tok
question
Write the word "flint" in capitalized form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLINT/FLINT/FLINT/FLINTwrongif.constraints.stack-v1conf 100% · 585ms · $0.000 · 43 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "ember" and the last word must be "quartz". 3. Use the word "lumen" 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:
ember cold lumen lumen lumen white frost breath air stillness calm ice clear hard bright quartzcorrectif.format.acronym-v1conf 100% · 567ms · $0.000 · 96 tok
question
Take the first letter of each of these words, in order: falcon, drift, comet, delta, zephyr, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FDCDZBcorrectif.format.repeat-v1conf 100% · 559ms · $0.000 · 81 tok
question
Write the word "quartz" in uppercase form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZwrongif.constraints.stack-v1conf 100% · 469ms · $0.000 · 45 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "echo" and the last word must be "comet". 3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo blue waves wash quartz sand over quartz rocks beneath the deep dark silent cold comet.correctif.format.acronym-v1conf 100% · 338ms · $0.000 · 103 tok
question
Take the second letter of each of these words, in order: falcon, delta, cedar, comet, flint, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AEEOLRcorrectif.format.repeat-v1conf 100% · 583ms · $0.000 · 49 tok
question
Write the word "zephyr" 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:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRwrongif.constraints.stack-v1conf 100% · 520ms · $0.000 · 63 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "falcon" and the last word must be "comet". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon flies above the dark city where a soft zephyr blows past neon lights and a cool zephyr follows the bright glowing comet.correctif.format.acronym-v1conf 100% · 738ms · $0.000 · 79 tok
question
Take the second letter of each of these words, in order: quartz, orbit, comet, 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:
UROOwrongif.constraints.stack-v1conf 100% · 748ms · $0.000 · 50 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "comet" and the last word must be "nova". 3. Use the word "quartz" 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:
comet frost coats quartz quartz quartz cold air bites the pale dawn light like a silent white nova.correctif.format.repeat-v1conf 100% · 569ms · $0.000 · 21 tok
question
Write the word "orbit" in lowercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit-orbit-orbitcorrectif.format.acronym-v1conf 100% · 491ms · $0.000 · 57 tok
question
Take the first letter of each of these words, in order: nova, echo, cedar, 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:
NECTcorrectif.format.repeat-v1conf 100% · 438ms · $0.000 · 56 tok
question
Write the word "comet" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet-comet-comet-comet-comet-comet-comet-cometcorrectif.format.acronym-v1conf 100% · 581ms · $0.000 · 55 tok
question
Take the first letter of each of these words, in order: falcon, comet, basalt, delta, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FCBDLwrongif.constraints.stack-v1conf 100% · 375ms · $0.000 · 45 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "ember" and the last word must be "echo". 3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember glows across frozen tundra while cold tundra winds dance within the silent winter morning echo.correctif.format.repeat-v1conf 100% · 478ms · $0.000 · 25 tok
question
Write the word "drift" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift_drift_drift_driftcorrectif.format.acronym-v1conf 100% · 2.6s · $0.000 · 49 tok
question
Take the first letter of each of these words, in order: drift, cedar, basalt, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DCBLwrongif.constraints.stack-v1conf 100% · 386ms · $0.000 · 67 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "nova" and the last word must be "flint". 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:
nova stars orbit far, then orbit near, then orbit home across the vast dark space until we land upon the cold and hard grey flint.correctif.format.acronym-v1conf 100% · 471ms · $0.000 · 86 tok
question
Take the third letter of each of these words, in order: echo, lumen, quartz, drift, nova, orbit. 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:
HMAIVBcorrectif.format.repeat-v1conf 100% · 510ms · $0.000 · 29 tok
question
Write the word "quartz" 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:
quartz/quartz/quartz/quartz/quartzcorrectif.constraints.stack-v1conf 100% · 395ms · $0.000 · 51 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 "zephyr" and the last word must be "ember". 3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr blows past cedar cedar cedar trees while the dark city streets glow like a dying soft ember.wrongif.constraints.stack-v1anchorconf 100% · 730ms · $0.000 · 67 tok
model answer:
drift through neon streets where each lumen glows, another lumen fades, a third lumen shines as stars above the dark city in a silent orbit.correctif.format.repeat-v1anchorconf 100% · 411ms · $0.000 · 56 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.acronym-v1anchorconf 100% · 352ms · $0.000 · 54 tok
model answer:
ZDFQcorrectif.format.repeat-v1anchorconf 100% · 1.4s · $0.000 · 57 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 698ms · $0.000 · 15 tok
question
What is 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% · 596ms · $0.000 · 13 tok
question
Name the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 513ms · $0.000 · 17 tok
question
Name 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% · 428ms · $0.000 · 17 tok
question
Identify the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 373ms · $0.000 · 13 tok
question
Identify the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 868ms · $0.000 · 14 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 379ms · $0.000 · 14 tok
question
What is the Kazakh capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 641ms · $0.000 · 16 tok
question
What is the chemical element with symbol W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 421ms · $0.000 · 16 tok
question
What is the element whose symbol is W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 466ms · $0.000 · 13 tok
question
Identify the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 442ms · $0.000 · 13 tok
question
What is the element whose symbol is Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 416ms · $0.000 · 14 tok
question
Identify the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 824ms · $0.000 · 14 tok
question
Name the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 535ms · $0.000 · 19 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% · 439ms · $0.000 · 14 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% · 520ms · $0.000 · 13 tok
question
Name the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 402ms · $0.000 · 13 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% · 606ms · $0.000 · 13 tok
question
What is the chemical element with symbol Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 597ms · $0.000 · 14 tok
question
Identify the capital of Australia. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 744ms · $0.000 · 13 tok
question
Name the Canadian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 394ms · $0.000 · 14 tok
question
Identify the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 809ms · $0.000 · 13 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 13 tok
question
Identify the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 360ms · $0.000 · 14 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 382ms · $0.000 · 19 tok
question
What is the capital of Myanmar? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2anchorconf 100% · 2.0s · $0.000 · 13 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 353ms · $0.000 · 23 tok
question
Identify the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2anchorconf 100% · 449ms · $0.000 · 13 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 430ms · $0.000 · 16 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 634ms · $0.000 · 15 tok
model answer:
Antimonymath 30/30 correct
correctmath.counterfactual.base-v1conf 100% · 347ms · $0.001 · 785 tok
question
Work strictly in base 8. Add the base-8 numbers 4617 and 5233. 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:
12052correctmath.chained.pipeline-v1conf 100% · 423ms · $0.000 · 186 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 73 × 69. Step 2: Q = P × 3 − 978. 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:
3534correctmath.percent.chain-v2conf 100% · 414ms · $0.000 · 197 tok
question
An inventory starts at 26000 units. A rival firm shipped 87 unrelated parcels the same week. In the first month the inventory grows by 34%. The warehouse was painted 69 years ago. The next month it shrinks by 6%, and the month after it grows by 39%. 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:
45521.94correctmath.algebra.system-v2conf 100% · 458ms · $0.000 · 248 tok
question
Solve the system, then answer the derived question. 7x + 9y = -482 6x − 9y = -12 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:
-8correctmath.arith.chain-v2conf 100% · 494ms · $0.000 · 277 tok
question
Compute the value of the following expression. (((87 × 64 − 192) × 8 + 6129) − 64 × 73) × 6 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
266790correctmath.chained.pipeline-v1conf 100% · 838ms · $0.000 · 128 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 50 × 13. Step 2: Q = P × 7 − 855. 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:
739correctmath.counterfactual.base-v1conf 100% · 519ms · $0.001 · 347 tok
question
Work strictly in base 7. Multiply the base-7 numbers 26 and 30. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1140correctmath.percent.chain-v2conf 100% · 532ms · $0.000 · 207 tok
question
An inventory starts at 63000 units. A rival firm shipped 126 unrelated parcels the same week. In the first month the inventory grows by 29%. A rival firm shipped 72 unrelated parcels the same week. The next month it shrinks by 36%, and the month after it grows by 14%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
59294.59correctmath.arith.chain-v2conf 100% · 608ms · $0.001 · 333 tok
question
Calculate the following. Show your reasoning, then answer. (((72 × 69 − 404) × 4 + 5900) − 78 × 62) × 6 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
115920correctmath.algebra.system-v2conf 100% · 490ms · $0.000 · 221 tok
question
Solve the system, then answer the derived question. 4x + 3y = 216 4x − 8y = -4 What is the value of 3x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
77correctmath.counterfactual.base-v1conf 100% · 646ms · $0.001 · 575 tok
question
Work strictly in base 9. Multiply the base-9 numbers 36 and 57. 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:
2316correctmath.chained.pipeline-v1conf 100% · 820ms · $0.000 · 206 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 24 × 84. Step 2: Q = P × 4 − 745. 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:
1467correctmath.percent.chain-v2conf 100% · 584ms · $0.000 · 234 tok
question
An inventory starts at 44000 units. Each pallet weighs about 134 grams more when wet. In the first month the inventory grows by 19%. Each pallet weighs about 168 grams more when wet. The next month it shrinks by 7%, and the month after it grows by 23%. 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:
59894.6correctmath.algebra.system-v2conf 100% · 496ms · $0.000 · 220 tok
question
Solve the system, then answer the derived question. 6x + 6y = 336 6x − 8y = 0 What is the value of 4x − 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:
32correctmath.arith.chain-v2conf 100% · 289ms · $0.000 · 282 tok
question
Work out the exact value of this expression. (((38 × 55 − 429) × 8 + 6263) − 93 × 92) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
21990correctmath.chained.pipeline-v1conf 100% · 396ms · $0.000 · 179 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 32 × 60. Step 2: Q = P × 7 − 110. Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1668correctmath.counterfactual.base-v1conf 100% · 720ms · $0.000 · 147 tok
question
Work strictly in base 13. Add the base-13 numbers 350 and 3A7. 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:
727correctmath.percent.chain-v2conf 100% · 522ms · $0.000 · 215 tok
question
An inventory starts at 69000 units. The company was founded 56 kilometers from the port. In the first month the inventory grows by 24%. The delivery van has a 17-liter fuel tank. The next month it shrinks by 23%, and the month after it grows by 11%. 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:
73128.13correctmath.arith.chain-v2conf 100% · 557ms · $0.000 · 299 tok
question
Calculate the following. Show your reasoning, then answer. (((89 × 85 − 854) × 4 + 4097) − 25 × 25) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60632correctmath.algebra.system-v2conf 100% · 423ms · $0.000 · 293 tok
question
Solve the system, then answer the derived question. 4x + 6y = 76 2x − 4y = -60 What is the value of 4x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-36correctmath.counterfactual.base-v1conf 100% · 341ms · $0.001 · 498 tok
question
Work strictly in base 8. Multiply the base-8 numbers 105 and 66. 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:
7216correctmath.chained.pipeline-v1conf 100% · 392ms · $0.000 · 206 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 17 × 44. Step 2: Q = P × 5 − 698. 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:
338correctmath.percent.chain-v2conf 100% · 675ms · $0.000 · 182 tok
question
An inventory starts at 38000 units. A rival firm shipped 148 unrelated parcels the same week. In the first month the inventory grows by 28%. The delivery van has a 125-liter fuel tank. The next month it shrinks by 20%, and the month after it grows by 17%. 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:
45527.04correctmath.algebra.system-v2conf 100% · 682ms · $0.000 · 226 tok
question
Solve the system, then answer the derived question. 8x + 4y = 264 6x − 4y = 268 What is the value of 6x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
288correctmath.arith.chain-v2conf 100% · 596ms · $0.000 · 285 tok
question
Calculate the following. Show your reasoning, then answer. (((44 × 38 − 130) × 3 + 8514) − 87 × 35) × 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:
40380correctmath.chained.pipeline-v1conf 100% · 475ms · $0.000 · 272 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 77 × 76. Step 2: Q = P × 3 − 423. 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:
2451correctmath.counterfactual.base-v1anchorconf 100% · 393ms · $0.001 · 497 tok
model answer:
11236correctmath.percent.chain-v2anchorconf 100% · 421ms · $0.000 · 204 tok
model answer:
61896.52correctmath.algebra.system-v2anchorconf 100% · 609ms · $0.000 · 219 tok
model answer:
87correctmath.arith.chain-v2anchorconf 100% · 378ms · $0.000 · 274 tok
model answer:
108153multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 636ms · $0.000 · 68 tok
question
A number is written in French: « six cent soixante-trois ». Another is written in Spanish: « doscientos sesenta y tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
400correctmultilingual.numword-v2conf 100% · 360ms · $0.000 · 30 tok
question
Compute 485 + 111, 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 quatre-vingt-seizecorrectmultilingual.numword-v2conf 100% · 757ms · $0.000 · 25 tok
question
Compute 176 + 412, 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 ochenta y ochocorrectmultilingual.wordnum-v1conf 100% · 341ms · $0.000 · 63 tok
question
A number is written in French: « huit cent cinquante et un ». Another is written in Spanish: « setecientos 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:
142correctmultilingual.wordnum-v1conf 100% · 530ms · $0.000 · 65 tok
question
A number is written in French: « cent vingt-huit ». Another is written in Spanish: « cuatrocientos sesenta 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:
596correctmultilingual.numword-v2conf 100% · 390ms · $0.000 · 25 tok
question
Compute 466 + 177, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent quarante-troiscorrectmultilingual.wordnum-v1conf 100% · 351ms · $0.000 · 66 tok
question
A number is written in French: « cinq cent cinquante-trois ». Another is written in Spanish: « cuatrocientos treinta y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
990correctmultilingual.wordnum-v1conf 100% · 5.4s · $0.000 · 63 tok
question
A number is written in French: « soixante et un ». Another is written in Spanish: « cuatrocientos sesenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
527correctmultilingual.wordnum-v1conf 100% · 729ms · $0.000 · 74 tok
question
A number is written in French: « huit cent quatre-vingt-dix-neuf ». Another is written in Spanish: « quinientos ochenta 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:
1483correctmultilingual.numword-v2conf 100% · 640ms · $0.000 · 28 tok
question
Compute 337 + 232, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent soixante-neufcorrectmultilingual.numword-v2conf 100% · 345ms · $0.000 · 25 tok
question
Compute 169 + 230, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos noventa y nuevecorrectmultilingual.wordnum-v1conf 100% · 406ms · $0.000 · 67 tok
question
A number is written in French: « six cent quatre-vingt-quinze ». Another is written in Spanish: « quinientos catorce ». 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:
181correctmultilingual.numword-v2conf 100% · 633ms · $0.000 · 27 tok
question
Compute 390 + 375, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
sept cent soixante-cinqcorrectmultilingual.wordnum-v1conf 100% · 374ms · $0.000 · 64 tok
question
A number is written in French: « huit cent trente-deux ». Another is written in Spanish: « trescientos treinta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
498correctmultilingual.numword-v2conf 100% · 762ms · $0.000 · 27 tok
question
Compute 140 + 132, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent soixante-douzecorrectmultilingual.wordnum-v1conf 100% · 334ms · $0.000 · 58 tok
question
A number is written in French: « cent quarante-deux ». Another is written in Spanish: « ciento 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:
38correctmultilingual.numword-v2conf 100% · 595ms · $0.000 · 27 tok
question
Compute 71 + 210, 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 quatre-vingt-uncorrectmultilingual.numword-v2conf 100% · 549ms · $0.000 · 25 tok
question
Compute 310 + 362, 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 setenta y doscorrectmultilingual.wordnum-v1conf 100% · 312ms · $0.000 · 56 tok
question
A number is written in French: « sept cent neuf ». Another is written in Spanish: « ochocientos noventa 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:
1600correctmultilingual.numword-v2conf 100% · 452ms · $0.000 · 25 tok
question
Compute 333 + 336, 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 sesenta y nuevecorrectmultilingual.wordnum-v1conf 100% · 432ms · $0.000 · 63 tok
question
A number is written in French: « neuf cent quarante et un ». Another is written in Spanish: « sesenta 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:
1005correctmultilingual.numword-v2conf 100% · 399ms · $0.000 · 24 tok
question
Compute 370 + 67, 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 treinta y sietecorrectmultilingual.wordnum-v1conf 100% · 369ms · $0.000 · 91 tok
question
A number is written in French: « sept cent quatre-vingt-onze ». Another is written in Spanish: « ciento treinta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
654correctmultilingual.numword-v2conf 100% · 749ms · $0.000 · 34 tok
question
Compute 90 + 289, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent soixante-dix-neufcorrectmultilingual.wordnum-v1conf 100% · 474ms · $0.000 · 70 tok
question
A number is written in French: « huit cent quatre-vingt-deux ». Another is written in Spanish: « ochocientos noventa y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1778correctmultilingual.wordnum-v1anchorconf 100% · 401ms · $0.000 · 77 tok
model answer:
150correctmultilingual.numword-v2conf 100% · 387ms · $0.000 · 32 tok
question
Compute 282 + 95, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent soixante-dix-septcorrectmultilingual.numword-v2anchorconf 100% · 375ms · $0.000 · 34 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 407ms · $0.000 · 175 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 515ms · $0.000 · 19 tok
model answer:
seiscientos ochoreasoning 28/30 correct
correctreasoning.deduction.order-v2conf 100% · 701ms · $0.001 · 337 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is older than everyone here, but Nadir is not being ranked. Ines is faster than Tessa. Kira is faster than Priya. Alice is faster than Kira. Dara is faster than Ines. Tessa is faster than Liam. Liam is faster than Priya. Alice is faster than Priya. Dara is faster than Priya. Liam is faster than Alice. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.position-v1conf 100% · 561ms · $0.000 · 105 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Rosa. Liam is number 4 in the queue. Rosa is directly ahead of Quinn. Quinn is directly ahead of Liam. 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:
Rosawrongreasoning.deduction.position-v1conf 100% · 374ms · $0.001 · 338 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 3 in the queue. Farah is directly ahead of Sami. Sami is directly ahead of Dara. 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:
Nonecorrectreasoning.deduction.order-v2conf 100% · 400ms · $0.001 · 337 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Dara. Kira is heavier than Tessa. Priya is heavier than Kira. Alice is heavier than Goran. Goran is heavier than Dara. Priya is heavier than Alice. Alice is heavier than Dara. Tessa is heavier than Alice. Quinn is faster than everyone here, but Quinn is not being ranked. Sami is heavier than Priya. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.order-v2conf 100% · 620ms · $0.000 · 280 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Rosa is faster than Chen. Rosa is faster than Liam. Jonas is faster than Emil. Liam is faster than Chen. Rosa is faster than Jonas. Priya is faster than Alice. Alice is faster than Jonas. Ola is taller than everyone here, but Ola is not being ranked. Emil is faster than Liam. Alice is faster than Rosa. 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 1.5s · $0.000 · 269 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Farah. Emil is taller than Hana. Sami is taller than Jonas. Priya is taller than Jonas. Rosa is taller than Sami. Rosa is taller than Emil. Liam is older than everyone here, but Liam is not being ranked. Sami is taller than Jonas. Jonas is taller than Emil. Sami is taller than Priya. 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% · 415ms · $0.000 · 72 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Jonas. Jonas is directly ahead of Nadir. Tessa is number 1 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 619ms · $0.000 · 107 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Rosa. Rosa is number 4 in the queue. Jonas is directly ahead of Chen. Chen is directly ahead of Priya. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.order-v2conf 100% · 547ms · $0.000 · 209 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Hana. Emil is heavier than Kira. Bruno is heavier than Jonas. Tessa is taller than everyone here, but Tessa is not being ranked. Dara is heavier than Emil. Alice is heavier than Dara. Jonas is heavier than Alice. Bruno is heavier than Hana. Dara is heavier than Hana. Dara is heavier than Kira. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 619ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Ola. Ola is number 3 in the queue. Jonas is directly ahead of Sami. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 100% · 355ms · $0.000 · 196 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is heavier than everyone here, but Emil is not being ranked. Mona is taller than Ola. Kira is taller than Mona. Sami is taller than Quinn. Quinn is taller than Ola. Kira is taller than Ola. Goran is taller than Kira. Hana is taller than Sami. Hana is taller than Kira. Quinn is taller than Goran. 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:
Kiracorrectreasoning.deduction.position-v1conf 100% · 422ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 1 in the queue. Emil is directly ahead of Kira. Kira 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:
Emilcorrectreasoning.deduction.order-v2conf 100% · 640ms · $0.000 · 164 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ola is faster than everyone here, but Ola is not being ranked. Sami is taller than Hana. Ines is taller than Hana. Mona is taller than Sami. Priya is taller than Ines. Sami is taller than Ines. Priya is taller than Mona. Priya is taller than Sami. Nadir is taller than Priya. Emil is taller than Nadir. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.position-v1conf 100% · 381ms · $0.000 · 50 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Emil. Alice is number 2 in the queue. Chen is directly ahead of Alice. 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% · 514ms · $0.000 · 244 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Sami. Rosa is older than everyone here, but Rosa is not being ranked. Mona is heavier than Dara. Alice is heavier than Farah. Goran is heavier than Liam. Farah is heavier than Liam. Sami is heavier than Alice. Farah is heavier than Goran. Mona is heavier than Sami. Farah is heavier than Liam. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 439ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Liam. Liam is number 3 in the queue. Bruno is directly ahead of Sami. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunowrongreasoning.deduction.position-v1conf 100% · 732ms · $0.000 · 128 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 3 in the queue. Hana is directly ahead of Alice. Chen is directly ahead of Hana. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
The fourth personcorrectreasoning.deduction.order-v2conf 100% · 611ms · $0.000 · 168 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Ines. Farah is heavier than Rosa. Dara is heavier than Sami. Sami is heavier than Tessa. Rosa is heavier than Kira. Rosa is heavier than Ines. Emil is faster than everyone here, but Emil is not being ranked. Dara is heavier than Tessa. Ines is heavier than Dara. Kira is heavier than Dara. 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.order-v2conf 100% · 776ms · $0.000 · 161 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Mona. Mona is faster than Jonas. Sami is faster than Ola. Ola is faster than Nadir. Sami is faster than Nadir. Dara is heavier than everyone here, but Dara is not being ranked. Farah is faster than Sami. Jonas is faster than Sami. Mona is faster than Nadir. Alice is faster than Farah. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.position-v1conf 100% · 692ms · $0.000 · 83 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 2 in the queue. Hana is directly ahead of Dara. Mona is directly ahead of Tessa. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 415ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Rosa. Alice is directly ahead of Tessa. Rosa is number 3 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.order-v2conf 100% · 635ms · $0.000 · 187 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Hana is heavier than Quinn. Emil is heavier than Hana. Chen is heavier than Sami. Chen is heavier than Quinn. Farah is heavier than Hana. Tessa is faster than everyone here, but Tessa is not being ranked. Mona is heavier than Quinn. Sami is heavier than Emil. Emil is heavier than Mona. Mona is heavier than Farah. 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:
Samicorrectreasoning.deduction.order-v2conf 100% · 381ms · $0.000 · 167 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Sami. Goran is heavier than Liam. Emil is heavier than Sami. Ola is heavier than Emil. Liam is heavier than Emil. Ola is heavier than Sami. Jonas is heavier than Ola. Hana is taller than everyone here, but Hana is not being ranked. Liam is heavier than Jonas. Mona is heavier than Goran. 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% · 330ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Rosa. Farah is directly ahead of Bruno. Chen is number 1 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:
Chencorrectreasoning.deduction.order-v2conf 100% · 724ms · $0.000 · 201 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Hana. Tessa is faster than Ola. Tessa is faster than Dara. Ola is faster than Dara. Mona is faster than Farah. Farah is faster than Kira. Tessa is faster than Hana. Kira is faster than Tessa. Jonas is taller than everyone here, but Jonas is not being ranked. Mona is faster than Kira. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 697ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 1 in the queue. Emil is directly ahead of Quinn. Bruno is directly ahead of Emil. 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:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 477ms · $0.000 · 60 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 329ms · $0.000 · 154 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 414ms · $0.000 · 230 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 878ms · $0.000 · 77 tok
model answer:
Farahterminal 21/30 correct
correctterminal.fs.tree-v1conf 100% · 626ms · $0.001 · 530 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/logs`): ``` /proj/conf/draft.txt /proj/conf/report.log /proj/setup.txt /proj/src/util.cfg /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch conf/setup-2.log cd . touch todo-2.cfg cp conf/report.log src/ mkdir -p src/assets-7 cd . cp src/util.cfg src/assets-7/ cd logs mkdir -p ../../proj/assets-1 rm ../../proj/conf/setup-2.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft.txt
/proj/conf/report.log
/proj/setup.txt
/proj/src/assets-7/util.cfg
/proj/src/report.log
/proj/src/util.cfg
/proj/todo-2.cfg
/proj/todo.mdwrongterminal.exit.chain-v1conf 100% · 561ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
G
exit:0correctterminal.pipeline.predict-v1conf 100% · 589ms · $0.000 · 256 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,eng,28,94 cy,hr,32,35 oli,hr,102,63 ana,legal,80,59 lou,legal,112,45 bo,eng,94,57 fay,hr,50,26 gus,eng,97,66 hal,ops,103,52 pam,ops,90,96 dev,hr,89,46 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
bo,94
gus,97correctterminal.fs.tree-v1conf 100% · 556ms · $0.001 · 599 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/build`): ``` /proj/conf/todo.txt /proj/conf/util.md /proj/logs/index.txt /proj/main.log /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 touch conf/draft-3.log mv conf/draft-3.log logs/ mv logs/index.txt logs/util-3.md cp logs/draft-3.log conf/ cp conf/draft-3.log build/ cd conf mkdir -p ../../proj/logs/src-6 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/draft-3.log
/proj/conf/draft-3.log
/proj/conf/todo.txt
/proj/conf/util.md
/proj/logs/draft-3.log
/proj/logs/util-3.md
/proj/main.log
/proj/notes.txtcorrectterminal.exit.chain-v1conf 100% · 634ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f app.txt && echo C || echo D false && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
G
Z
exit:0correctterminal.exit.chain-v1conf 100% · 535ms · $0.001 · 319 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B test -f ghost.txt && echo C || echo D test -f data.txt && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
H
exit:1correctterminal.pipeline.predict-v1conf 100% · 592ms · $0.000 · 211 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
kim,ops,106,78
max,hr,39,62
gus,eng,105,41
lou,eng,58,10
cy,eng,76,86
ivy,eng,79,72
oli,eng,30,73
dev,sales,37,72
ned,eng,96,50
fay,legal,56,79
bo,sales,118,87
eli,eng,36,67
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' 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:
1correctterminal.fs.tree-v1conf 100% · 594ms · $0.001 · 448 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/build`): ``` /proj/assets/report.log /proj/conf/index.cfg /proj/conf/util.log /proj/draft.cfg /proj/notes.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv draft.cfg main-1.cfg mv assets/report.log assets/ rm main-1.cfg cp conf/util.log build/ mkdir -p build/assets-2 mv notes.log 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/assets/report.log
/proj/build/notes.log
/proj/build/util.log
/proj/conf/index.cfg
/proj/conf/util.logwrongterminal.fs.tree-v1conf 100% · 1.5s · $0.001 · 599 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/docs`): ``` /proj/assets/main.txt /proj/logs/draft.log /proj/logs/notes.cfg /proj/setup.log /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv logs/draft.log assets/ cd logs mv ../../proj/assets/main.txt ../../proj/assets/setup-2.txt cd ../../proj/assets cp ../../proj/setup.log ./ cd ../../proj cp util.txt logs/ rm assets/draft.log mv assets/setup.log docs/ mv docs/setup.log logs/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/setup-2.txt
/proj/assets/setup.log
/proj/logs/notes.cfg
/proj/logs/setup.log
/proj/logs/util.txt
/proj/setup.log
/proj/util.txtcorrectterminal.pipeline.predict-v1conf 100% · 699ms · $0.000 · 241 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,ops,62,96
cy,legal,115,23
ivy,hr,12,60
pam,legal,93,36
max,eng,26,85
kim,hr,53,12
lou,hr,43,58
hal,sales,41,53
ana,eng,44,43
fay,sales,76,50
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
117wrongterminal.pipeline.predict-v1conf 100% · 1.5s · $0.001 · 453 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
jon,legal,58,65
max,legal,11,89
ivy,sales,26,50
lou,hr,56,23
hal,eng,11,24
kim,sales,62,80
pam,eng,73,57
ana,legal,34,14
cy,legal,67,14
dev,ops,89,50
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 73 { 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:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 484ms · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B false && echo C || echo D false && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
exit:0correctterminal.fs.tree-v1conf 100% · 765ms · $0.001 · 588 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/conf`): ``` /proj/assets/draft.log /proj/assets/index.log /proj/logs/notes.cfg /proj/report.md /proj/setup.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm assets/draft.log cd conf touch ../../proj/assets/todo-1.log mkdir -p ../../proj/assets-3 touch draft-2.log mkdir -p ../../proj/conf-9 cp ../../proj/assets/index.log ./ touch ../../proj/index-5.md mv index.log ../../proj/assets/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/index.log
/proj/assets/todo-1.log
/proj/conf/draft-2.log
/proj/index-5.md
/proj/logs/notes.cfg
/proj/report.md
/proj/setup.cfgwrongterminal.exit.chain-v1conf 100% · 585ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f tmp.txt && echo C || echo D test -f app.txt && echo E || echo F test -f app.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
G
exit:0correctterminal.pipeline.predict-v1conf 100% · 359ms · $0.000 · 180 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` bo,sales,31,21 ned,hr,77,26 cy,eng,61,46 lou,ops,66,97 kim,ops,23,39 pam,eng,76,25 ivy,ops,92,22 eli,legal,29,81 jon,legal,103,59 fay,eng,78,99 hal,hr,77,63 oli,ops,61,16 dev,eng,23,71 ana,legal,37,45 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
bo,sales,31,21correctterminal.fs.tree-v1conf 100% · 375ms · $0.001 · 642 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/conf/main.md /proj/docs/index.md /proj/docs/notes.txt /proj/report.md /proj/setup.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p docs/src-9 cd docs mkdir -p ../../proj/docs-9 touch src-9/setup-6.cfg touch notes-6.cfg cd ../../proj/docs-9 touch ../../proj/conf/setup-3.log touch ../../proj/todo-1.md mv ../../proj/setup.log ../../proj/docs/ cd ../../proj/logs mv ../../proj/conf/main.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/setup-3.log
/proj/docs/index.md
/proj/docs/notes-6.cfg
/proj/docs/notes.txt
/proj/docs/setup.log
/proj/docs/src-9/setup-6.cfg
/proj/logs/main.md
/proj/report.md
/proj/todo-1.mdwrongterminal.exit.chain-v1conf 100% · 700ms · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:0wrongterminal.fs.tree-v1conf 100% · 716ms · $0.001 · 697 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/assets`): ``` /proj/assets/setup.md /proj/assets/todo.md /proj/build/report.log /proj/draft.log /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 rm notes.txt rm draft.log touch build/main-4.cfg cd build mkdir -p ../../proj/assets/src-2 cd ../../proj/assets/src-2 cp ../../../proj/assets/todo.md ../../../proj/ rm ../../../proj/assets/todo.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/setup.md
/proj/build/main-4.cfg
/proj/build/report.log
/proj/proj/todo.mdcorrectterminal.pipeline.predict-v1conf 100% · 780ms · $0.000 · 252 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` eli,ops,79,97 jon,legal,74,38 pam,hr,33,45 dev,eng,66,20 fay,eng,90,46 ana,sales,36,47 ned,ops,74,90 oli,sales,82,18 cy,ops,37,53 max,sales,118,38 hal,legal,14,45 ivy,legal,48,55 ``` 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:
cy,37
eli,79correctterminal.pipeline.predict-v1conf 100% · 657ms · $0.000 · 252 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` bo,legal,45,54 gus,eng,23,87 hal,hr,27,95 ana,hr,47,12 kim,legal,104,99 eli,sales,26,39 pam,sales,8,56 jon,ops,5,78 lou,sales,67,31 max,hr,57,59 cy,legal,102,53 fay,eng,37,68 ned,legal,87,72 ``` 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:
ana,47
hal,27correctterminal.exit.chain-v1conf 100% · 448ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D test -f app.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
Z
exit:0correctterminal.fs.tree-v1conf 100% · 606ms · $0.001 · 523 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/assets`): ``` /proj/assets/main.txt /proj/assets/todo.log /proj/conf/report.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 logs/draft-6.md rm util.log mkdir -p conf/logs-3 mv conf/report.txt conf/logs-3/ touch assets/todo-9.cfg touch conf/draft-5.log mv assets/todo-9.cfg assets/main-4.cfg cd assets rm todo.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/main-4.cfg
/proj/assets/main.txt
/proj/conf/draft-5.log
/proj/conf/logs-3/report.txt
/proj/index.md
/proj/logs/draft-6.mdcorrectterminal.exit.chain-v1conf 100% · 497ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f ghost.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
Z
exit:0correctterminal.fs.tree-v1conf 100% · 726ms · $0.001 · 679 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/logs`): ``` /proj/assets/main.log /proj/logs/draft.md /proj/logs/index.txt /proj/notes.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch conf/report-4.log rm notes.md rm logs/draft.md cp assets/main.log logs/ cd assets cp ../../proj/logs/index.txt ../../proj/ mkdir -p conf-3 cp ../../proj/conf/report-4.log ../../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/main.log
/proj/conf/report-4.log
/proj/index.txt
/proj/logs/index.txt
/proj/logs/main.log
/proj/report-4.log
/proj/util.mdcorrectterminal.pipeline.predict-v1conf 100% · 468ms · $0.000 · 252 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
bo,eng,4,38
cy,ops,66,11
lou,legal,51,68
pam,sales,108,74
dev,ops,86,10
eli,ops,15,16
jon,ops,15,18
ana,hr,65,34
kim,hr,20,36
ned,hr,4,78
gus,hr,103,91
ivy,legal,38,27
fay,sales,37,24
oli,legal,103,44
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
145wrongterminal.exit.chain-v1conf 100% · 541ms · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B true && 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:
B
C
E
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 414ms · $0.001 · 351 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.fs.tree-v1anchorconf 100% · 361ms · $0.001 · 719 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.cfgwrongterminal.exit.chain-v1anchorconf 100% · 714ms · $0.000 · 23 tok
model answer:
B
D
E
G
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 444ms · $0.000 · 259 tok
model answer:
1vision ocr 30/30 correct
correctvision.ocr.code-hunt-v1conf 100% · 10.0s · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AHVFVU3correctvision.ocr.table-read-v1conf 100% · 835ms · $0.001 · 152 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:
83correctvision.ocr.table-read-v1conf 100% · 880ms · $0.000 · 103 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
151correctvision.ocr.code-hunt-v1conf 100% · 1.4s · $0.000 · 28 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:
R7DXUTMVcorrectvision.ocr.table-read-v1conf 100% · 1.4s · $0.001 · 143 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
276correctvision.ocr.code-hunt-v1conf 100% · 1.5s · $0.000 · 27 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:
EDUK3Dcorrectvision.ocr.table-read-v1conf 100% · 1.6s · $0.000 · 98 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:
43correctvision.ocr.code-hunt-v1conf 100% · 969ms · $0.000 · 28 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:
4DARTUMcorrectvision.ocr.table-read-v1conf 100% · 899ms · $0.000 · 122 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
88correctvision.ocr.table-read-v1conf 100% · 2.1s · $0.000 · 121 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:
32correctvision.ocr.code-hunt-v1conf 100% · 1.4s · $0.000 · 13 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
JVTTY4correctvision.ocr.table-read-v1conf 100% · 10.0s · $0.000 · 118 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:
145correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 30 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:
3AJDVVXcorrectvision.ocr.table-read-v1conf 100% · 1.0s · $0.001 · 215 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:
46correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 29 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4CAFANYMcorrectvision.ocr.table-read-v1conf 100% · 788ms · $0.001 · 142 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:
88correctvision.ocr.code-hunt-v1conf 100% · 1.0s · $0.000 · 33 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:
J4939ACRcorrectvision.ocr.table-read-v1conf 100% · 1.3s · $0.001 · 184 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:
35correctvision.ocr.table-read-v1conf 100% · 4.5s · $0.000 · 111 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:
66correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 31 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:
HKVXM44correctvision.ocr.code-hunt-v1conf 100% · 923ms · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
WMDYKKXcorrectvision.ocr.table-read-v1conf 100% · 883ms · $0.001 · 213 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:
55correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 16 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:
4AXTTHVcorrectvision.ocr.table-read-v1conf 100% · 1.4s · $0.000 · 114 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:
179correctvision.ocr.code-hunt-v1conf 100% · 1.6s · $0.000 · 13 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:
NCC7MNcorrectvision.ocr.code-hunt-v1conf 100% · 941ms · $0.000 · 28 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:
JYPKVKUUcorrectvision.ocr.table-read-v1anchorconf 100% · 879ms · $0.000 · 96 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 910ms · $0.000 · 33 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 1.5s · $0.000 · 98 tok
model answer:
25correctvision.ocr.code-hunt-v1anchorconf 100% · 1.6s · $0.000 · 39 tok
model answer:
YH9E4AWPRun history
- 2026-08-05v0.2.0index_fit718
- 2026-08-05v0.2.0index_fit716
- 2026-08-05v0.2.0index_fit715
- 2026-08-05v0.2.0index_fit713
- 2026-08-05v0.2.0index_fit713
- 2026-08-05v0.2.0index_fit711
- 2026-08-05v0.2.0index_fit710
- 2026-08-05v0.2.0index_fit710
- 2026-08-05v0.2.0index_fit706
- 2026-08-05v0.2.0index_fit708
- 2026-08-05v0.2.0index_fit709
- 2026-08-05v0.2.0index_fit711
- 2026-08-05v0.2.0index_fit711
- 2026-08-05v0.2.0index_fit711
- 2026-08-05v0.2.0index_fit711
- 2026-08-05v0.2.0index_fit710
- 2026-08-05v0.2.0index_fit710
- 2026-08-05v0.2.0index_fit709
- 2026-08-05v0.2.0index_fit709
- 2026-08-05v0.2.0index_fit694