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Mistral: Ministral 3 14B 2512
mistralai/ministral-14b-2512 · mistralai · context 262 144 · in $0.200/1M · out $0.200/1M
Global Index
442
95% CI [410–474] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 221 [160–281] | 0.149 | 0.74 | 0.20 | 0.346 | 363ms | $0.312 | |
| code | 375 [320–430] | 0.147 | 0.71 | 0.31 | 0.000 | 359ms | $0.128 | |
| instruction following | 352 [279–426] | 0.233 | 0.95 | 0.70 | 0.327 | 417ms | $0.029 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 300ms | $0.018 | |
| math | 632 [506–758] | 0.444 | 0.88 | 0.83 | 0.000 | 348ms | $0.067 | |
| multilingual | 384 [342–426] | 0.105 | 0.89 | 0.38 | 0.000 | 300ms | $0.023 | |
| reasoning | 382 [339–426] | 0.106 | 0.92 | 0.31 | 0.000 | 323ms | $0.030 | |
| terminal | 370 [315–425] | 0.126 | 0.85 | 0.17 | 0.000 | 329ms | $0.062 | |
| vision ocr | 540 [401–678] | 0.456 | 0.97 | 0.87 | 0.154 | 670ms | $0.186 |
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 6/30 correct
wrongagentic.tools.ledger-v1conf 100% · 341ms · $0.000 · 289 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $148
- lima: $462
- bravo: $328
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $500 from "lima" to "bravo"
2. pay $395 from "oscar" to "lima"
3. pay $228 from "oscar" to "lima"
4. pay $518 from "oscar" to "lima"
5. pay $140 from "oscar" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 38}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 500}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 247}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 395}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 228}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 127}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 518}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 1}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 140}}
]wrongagentic.tools.triage-v1conf 100% · 285ms · $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 ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → silva
- infra → tanaka
- payments → novak
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 4)
2. "locked out after 2FA change" (category: auth, priority 4)
3. "invoice total wrong" (category: payments, priority 4)
4. "cannot reset password" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "silva"}}
]wrongagentic.tools.context-load-v1conf 100% · 363ms · $0.001 · 178 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 (123 records, format: id|customer|region|item|qty|status):
```
1327|ember|west|frame|50|shipped
1567|gale|west|frame|52|paid
1511|ember|east|pump|40|paid
1424|ionic|north|cable|82|pending
1290|dorian|south|pump|16|pending
1434|gale|south|frame|79|pending
1450|dorian|east|rotor|41|shipped
1322|ionic|east|valve|38|shipped
1676|acme|north|pump|51|shipped
1307|dorian|west|panel|22|pending
1443|birch|east|sensor|65|pending
1492|acme|west|panel|95|paid
1541|acme|north|gasket|28|pending
1753|cobalt|south|rotor|57|pending
1742|ionic|east|rotor|88|paid
1669|cobalt|west|sensor|87|held
1681|fulton|north|cable|36|paid
1656|fulton|west|cable|26|shipped
1343|birch|west|cable|59|paid
1542|ember|south|pump|88|shipped
1759|gale|north|pump|64|paid
1337|dorian|west|pump|58|shipped
1481|dorian|west|valve|70|paid
1316|fulton|south|panel|28|shipped
1380|gale|north|pump|36|shipped
1336|juno|north|sensor|45|pending
1437|harbor|north|gasket|21|shipped
1301|dorian|east|rotor|20|pending
1526|juno|west|rotor|24|pending
1691|juno|east|rotor|50|shipped
1649|gale|east|cable|32|paid
1641|birch|west|sensor|89|paid
1695|fulton|north|gasket|47|shipped
1576|gale|south|frame|30|paid
1774|juno|south|rotor|64|shipped
1551|ember|west|pump|85|paid
1755|ember|north|rotor|83|paid
1310|dorian|north|cable|42|paid
1372|acme|east|gasket|84|held
1596|acme|west|gasket|76|shipped
1644|dorian|south|panel|52|pending
1713|ionic|west|valve|68|shipped
1585|fulton|east|cable|50|held
1566|birch|east|sensor|27|pending
1490|cobalt|south|panel|93|held
1580|harbor|south|valve|58|held
1724|acme|west|valve|88|held
1702|birch|east|panel|54|shipped
1349|fulton|east|valve|94|paid
1784|ember|east|cable|17|shipped
1731|dorian|north|gasket|55|paid
1633|ionic|north|valve|20|paid
1288|dorian|north|gasket|95|pending
1344|cobalt|west|gasket|85|pending
1732|ionic|south|sensor|26|paid
1686|ember|south|frame|52|held
1476|birch|north|frame|25|paid
1706|fulton|south|panel|67|held
1767|harbor|south|gasket|33|shipped
1412|harbor|north|rotor|32|shipped
1688|cobalt|east|frame|17|pending
1531|ember|west|pump|52|pending
1717|dorian|north|gasket|34|held
1780|harbor|west|sensor|71|pending
1746|acme|south|cable|59|paid
1529|juno|west|rotor|60|paid
1558|cobalt|east|pump|96|shipped
1557|dorian|north|sensor|78|shipped
1639|gale|south|valve|59|held
1615|juno|south|rotor|88|paid
1497|juno|south|sensor|90|shipped
1568|cobalt|north|gasket|42|paid
1431|cobalt|west|valve|83|pending
1546|juno|west|frame|36|shipped
1736|harbor|south|rotor|75|pending
1385|acme|north|pump|10|pending
1452|harbor|east|cable|90|pending
1612|juno|west|sensor|82|held
1391|dorian|north|panel|16|held
1400|dorian|north|gasket|46|pending
1294|dorian|north|pump|82|pending
1517|dorian|north|pump|49|paid
1592|dorian|east|frame|96|paid
1719|fulton|south|rotor|57|paid
1663|ember|north|cable|55|held
1418|acme|north|panel|24|held
1398|ember|south|frame|12|held
1362|cobalt|west|valve|77|shipped
1293|dorian|north|valve|85|held
1331|juno|south|cable|53|pending
1607|acme|north|panel|58|pending
1538|acme|east|sensor|96|pending
1455|cobalt|east|sensor|40|held
1469|gale|west|frame|75|paid
1461|harbor|north|pump|62|pending
1608|dorian|south|cable|79|shipped
1303|dorian|north|gasket|92|shipped
1406|fulton|east|sensor|99|held
1559|gale|east|gasket|73|paid
1711|fulton|east|panel|93|shipped
1505|dorian|north|gasket|93|shipped
1375|ember|north|frame|91|shipped
1500|ember|west|frame|13|pending
1334|birch|east|sensor|50|held
1467|gale|north|pump|11|held
1458|harbor|east|frame|69|paid
1575|acme|south|gasket|64|shipped
1483|harbor|south|frame|12|shipped
1435|ionic|east|rotor|17|pending
1521|juno|north|cable|31|shipped
1618|fulton|north|gasket|90|shipped
1342|gale|north|frame|33|held
1582|birch|north|gasket|80|held
1762|ember|west|gasket|22|paid
1678|juno|east|panel|74|paid
1356|ionic|west|cable|41|held
1311|cobalt|south|panel|63|pending
1627|cobalt|south|valve|89|pending
1602|gale|south|pump|23|pending
1623|birch|west|cable|57|held
1791|acme|east|frame|14|pending
1367|cobalt|east|panel|35|paid
1306|dorian|north|gasket|21|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1294}},
{"tool": "restock", "args": {"item": "gasket", "qty": 95}},
{"tool": "cancel_order", "args": {"order_id": 1306}},
{"tool": "restock", "args": {"item": "panel", "qty": 16}},
{"tool": "restock", "args": {"item": "gasket", "qty": 46}},
{"tool": "restock", "args": {"item": "gasket", "qty": 55}},
{"tool": "cancel_order", "args": {"order_id": 1400}}
]wrongagentic.tools.deploy-v1conf 100% · 325ms · $0.000 · 108 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: (none)
- notifier: reports
- billing: auth-svc, reports
- auth-svc: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.ledger-v1conf 100% · 352ms · $0.000 · 198 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: $206
- oscar: $842
- delta: $411
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $258 from "kilo" to "oscar"
2. pay $576 from "oscar" to "delta"
3. pay $490 from "delta" to "kilo"
4. pay $139 from "oscar" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 258}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 134}},
{"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 576}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 79}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 490}},
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 139}}
]wrongagentic.tools.triage-v1conf 100% · 426ms · $0.000 · 189 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → chen
- auth → okafor
- payments → rivera
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
3. "SSO loop on login" (category: auth, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-2"}}
]wrongagentic.tools.deploy-v1conf 100% · 3.3s · $0.000 · 106 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: notifier
- gateway: notifier
- search: notifier, reports
- notifier: (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": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}}
]wrongagentic.tools.context-load-v1conf 100% · 452ms · $0.001 · 257 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 (190 records, format: id|customer|region|item|qty|status):
```
2101|cobalt|east|frame|65|shipped
2059|harbor|north|cable|65|shipped
2094|ionic|south|panel|70|paid
1427|gale|north|gasket|36|paid
1929|cobalt|west|rotor|22|held
1430|fulton|north|sensor|14|shipped
1443|dorian|west|valve|60|shipped
2072|fulton|west|gasket|23|held
1671|acme|east|frame|34|shipped
1364|birch|north|valve|65|pending
1553|fulton|west|pump|99|pending
1552|gale|north|rotor|31|held
1490|gale|east|frame|43|held
1940|acme|west|cable|19|paid
1840|ionic|west|rotor|46|pending
1790|birch|east|gasket|54|shipped
1777|birch|south|pump|49|held
1799|acme|east|frame|76|paid
2056|ionic|west|pump|80|shipped
1630|juno|west|panel|79|shipped
1693|ionic|east|gasket|20|pending
1810|dorian|north|pump|50|held
1641|harbor|south|cable|22|paid
2109|fulton|east|frame|10|paid
1992|harbor|west|sensor|94|held
1829|gale|west|frame|56|paid
1420|harbor|west|pump|55|held
1371|birch|south|panel|43|pending
1883|birch|south|frame|34|shipped
1481|cobalt|east|gasket|73|pending
1454|harbor|west|panel|30|pending
1502|ember|south|rotor|99|paid
1369|birch|south|frame|78|held
1385|birch|west|rotor|86|pending
1514|birch|south|frame|27|shipped
1592|acme|west|panel|79|shipped
1951|harbor|east|sensor|21|shipped
1491|birch|west|sensor|33|paid
1415|acme|east|panel|42|held
1527|harbor|east|cable|64|shipped
1516|acme|west|sensor|66|pending
1976|gale|west|frame|40|held
1768|ember|west|panel|77|pending
2114|gale|south|panel|69|held
2006|dorian|south|panel|55|pending
1898|gale|west|valve|74|shipped
1597|ember|west|sensor|93|pending
1499|juno|east|pump|38|paid
1470|dorian|north|rotor|30|paid
1800|acme|north|valve|84|pending
1678|harbor|west|pump|58|paid
1766|gale|north|frame|43|held
1649|harbor|west|rotor|36|paid
1576|birch|west|cable|56|held
1362|birch|south|frame|83|pending
1380|birch|south|pump|78|paid
1700|harbor|east|frame|59|paid
2021|ionic|west|panel|43|pending
1985|acme|west|gasket|32|pending
1618|juno|south|cable|36|paid
2076|acme|north|rotor|88|pending
1374|birch|west|panel|64|pending
1403|birch|south|valve|33|held
1834|cobalt|east|cable|55|shipped
1757|harbor|east|pump|50|shipped
2039|gale|north|gasket|33|held
1638|ionic|west|gasket|63|paid
1501|birch|south|rotor|58|shipped
1855|cobalt|south|rotor|68|held
1585|harbor|west|rotor|99|held
1954|birch|south|pump|72|held
2122|cobalt|north|panel|19|pending
1781|dorian|south|pump|70|shipped
1904|fulton|south|pump|27|shipped
1545|juno|north|pump|98|paid
1460|cobalt|south|valve|35|held
1520|gale|north|valve|58|paid
2107|juno|east|pump|38|paid
1463|birch|east|rotor|74|held
1534|juno|south|cable|73|shipped
1621|harbor|east|cable|20|shipped
1346|birch|south|pump|74|pending
1760|dorian|east|panel|82|held
1915|harbor|north|sensor|89|pending
2083|cobalt|east|cable|16|paid
1879|acme|east|valve|62|held
2053|acme|west|valve|83|paid
1436|juno|west|frame|20|shipped
1890|birch|north|gasket|72|held
1396|birch|west|pump|49|pending
1492|gale|east|gasket|95|pending
1410|juno|east|gasket|22|shipped
1488|cobalt|west|rotor|84|shipped
1874|cobalt|west|sensor|29|held
2061|cobalt|north|cable|97|held
1993|cobalt|east|sensor|43|held
1631|acme|south|cable|71|pending
2001|harbor|north|gasket|60|held
1807|gale|east|valve|76|paid
1750|juno|west|cable|47|paid
1713|cobalt|west|pump|50|paid
1922|cobalt|east|panel|38|held
1946|ionic|west|pump|27|held
1531|juno|south|sensor|49|paid
1359|birch|south|panel|73|held
1853|fulton|east|cable|37|pending
1392|birch|south|pump|82|held
1736|ionic|east|panel|39|held
1484|acme|south|rotor|68|shipped
1448|acme|east|gasket|55|pending
1957|cobalt|west|valve|74|pending
1404|ionic|south|gasket|75|shipped
1557|fulton|south|valve|47|pending
1602|cobalt|east|valve|80|shipped
1656|harbor|west|frame|30|paid
1921|ember|north|frame|16|held
1395|birch|south|panel|13|pending
1765|ionic|east|gasket|77|held
1610|gale|north|panel|55|paid
1659|fulton|north|cable|67|paid
2103|juno|north|panel|10|shipped
1477|cobalt|west|panel|60|pending
1405|ember|south|sensor|41|pending
1771|ember|east|gasket|35|shipped
1530|harbor|north|frame|13|pending
1741|harbor|east|valve|71|paid
1839|fulton|north|rotor|28|held
1480|cobalt|north|valve|55|paid
1696|juno|north|frame|11|held
1690|harbor|south|cable|32|held
1860|ember|west|sensor|76|pending
1352|birch|west|rotor|37|pending
2089|acme|south|pump|87|held
1382|birch|south|pump|67|pending
2028|fulton|south|pump|29|pending
2077|acme|east|sensor|26|held
1739|dorian|west|valve|90|shipped
1850|juno|east|pump|76|pending
1607|fulton|south|frame|32|shipped
2033|cobalt|south|frame|37|held
1980|cobalt|east|frame|95|paid
1864|gale|north|sensor|81|paid
1624|fulton|south|cable|28|pending
1794|harbor|north|rotor|99|pending
1535|dorian|north|gasket|75|paid
1643|gale|west|cable|27|shipped
1994|cobalt|north|frame|76|pending
1786|fulton|north|sensor|63|paid
1970|acme|east|gasket|22|shipped
1949|acme|south|frame|53|held
1685|fulton|west|rotor|55|paid
1433|harbor|east|frame|41|shipped
1508|gale|east|cable|85|held
1440|cobalt|south|sensor|48|shipped
1871|harbor|west|rotor|19|held
1813|birch|west|rotor|86|held
1705|acme|west|sensor|58|shipped
1724|juno|west|frame|20|pending
1963|birch|west|pump|76|paid
1632|juno|south|frame|72|paid
1569|cobalt|west|panel|90|paid
1913|juno|south|frame|58|held
1745|harbor|north|sensor|75|held
1582|cobalt|east|valve|95|held
2014|birch|north|sensor|78|paid
2030|cobalt|north|gasket|49|held
1918|ember|north|gasket|89|held
1818|gale|south|sensor|83|shipped
1893|dorian|east|gasket|62|held
1823|dorian|east|sensor|96|paid
2116|birch|south|sensor|84|held
1613|birch|south|pump|25|pending
1843|juno|west|rotor|30|shipped
1731|cobalt|north|pump|42|paid
1562|juno|south|frame|25|paid
1718|gale|south|pump|26|paid
1894|acme|west|pump|15|pending
1468|harbor|east|pump|79|paid
2066|dorian|north|rotor|52|pending
1827|harbor|west|gasket|79|pending
1964|fulton|north|frame|35|held
1796|cobalt|south|sensor|29|pending
2047|cobalt|west|frame|24|pending
2008|birch|south|frame|80|pending
1936|harbor|east|pump|28|paid
1906|ionic|north|cable|64|pending
1710|cobalt|south|gasket|29|pending
1539|harbor|north|cable|15|held
1664|gale|south|valve|89|shipped
2045|harbor|east|cable|50|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 41, 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": 1346}},
{"tool": "restock", "args": {"item": "panel", "qty": 73}},
{"tool": "cancel_order", "args": {"order_id": 1362}},
{"tool": "cancel_order", "args": {"order_id": 1382}},
{"tool": "cancel_order", "args": {"order_id": 1395}},
{"tool": "cancel_order", "args": {"order_id": 1403}},
{"tool": "cancel_order", "args": {"order_id": 1513}},
{"tool": "cancel_order", "args": {"order_id": 1613}},
{"tool": "restock", "args": {"item": "pump", "qty": 78}},
{"tool": "restock", "args": {"item": "frame", "qty": 80}},
{"tool": "cancel_order", "args": {"order_id": 2008}}
]wrongagentic.tools.ledger-v1conf 100% · 886ms · $0.000 · 230 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: $831
- kilo: $545
- delta: $651
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $97 from "lima" to "kilo"
2. pay $531 from "kilo" to "lima"
3. pay $403 from "kilo" to "lima"
4. pay $421 from "lima" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 438}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 531}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 272}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 403}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 328}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 421}}
]wrongagentic.tools.context-load-v1conf 100% · 1.4s · $0.001 · 296 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 (283 records, format: id|customer|region|item|qty|status):
```
2019|fulton|north|frame|38|paid
1504|dorian|south|panel|12|shipped
1793|birch|south|gasket|42|paid
1249|fulton|north|cable|15|pending
1259|fulton|west|gasket|36|pending
1665|fulton|west|valve|24|shipped
1537|juno|south|panel|19|pending
1284|ionic|east|pump|31|shipped
2289|acme|west|rotor|92|shipped
1290|fulton|south|gasket|29|held
2212|ionic|west|gasket|72|held
1425|ember|south|panel|22|paid
1448|cobalt|north|panel|22|paid
2204|harbor|south|gasket|60|pending
1650|dorian|east|rotor|12|pending
1732|dorian|south|panel|58|paid
1838|fulton|south|cable|90|shipped
1822|dorian|south|frame|34|pending
1841|birch|west|gasket|92|paid
1394|ionic|north|sensor|26|shipped
1422|ember|south|cable|14|paid
1540|cobalt|south|rotor|35|shipped
1605|ember|west|frame|18|held
1776|fulton|south|valve|36|shipped
1323|cobalt|west|panel|61|paid
1475|harbor|north|panel|63|shipped
1454|fulton|east|pump|94|pending
2177|dorian|south|sensor|88|held
1492|juno|east|panel|30|pending
1962|juno|west|cable|32|pending
1236|fulton|south|rotor|33|pending
2095|ionic|west|frame|72|paid
2135|fulton|west|frame|32|paid
1619|fulton|south|pump|20|pending
1368|dorian|east|frame|88|held
1803|birch|south|pump|52|pending
1614|harbor|south|gasket|82|shipped
1506|gale|east|cable|63|shipped
2231|fulton|south|cable|27|held
1901|fulton|west|rotor|55|held
2050|fulton|south|rotor|56|held
1407|cobalt|north|sensor|95|held
1694|dorian|south|panel|86|held
1690|dorian|north|rotor|24|held
2316|dorian|west|rotor|61|held
1514|birch|south|gasket|98|shipped
1993|birch|west|frame|66|held
1608|harbor|south|frame|42|paid
2170|fulton|north|rotor|88|pending
1423|gale|west|cable|67|shipped
2038|dorian|east|valve|20|paid
2088|birch|east|valve|76|pending
1499|acme|east|panel|62|paid
1923|dorian|west|frame|89|shipped
2060|cobalt|west|rotor|98|pending
2166|gale|east|pump|92|shipped
1283|gale|east|cable|78|held
1935|harbor|east|pump|20|paid
1482|gale|west|rotor|42|held
2243|fulton|west|panel|20|paid
2054|fulton|west|rotor|82|pending
1403|cobalt|south|sensor|17|pending
2080|ionic|west|frame|47|paid
1885|harbor|east|panel|42|pending
1729|harbor|south|panel|40|shipped
1381|ember|east|valve|66|shipped
1355|acme|west|cable|87|paid
1974|birch|west|frame|12|shipped
1886|dorian|east|valve|54|paid
1804|fulton|north|sensor|66|held
1375|fulton|east|panel|60|pending
1909|harbor|south|gasket|47|held
1850|ionic|east|pump|68|shipped
1948|dorian|east|valve|80|pending
1904|ember|south|valve|44|pending
1397|ionic|east|frame|90|held
1563|dorian|south|cable|77|pending
1277|birch|east|cable|57|paid
1337|ember|north|valve|83|paid
2130|ember|east|cable|21|held
1226|fulton|north|panel|84|pending
2221|juno|west|cable|58|shipped
1950|acme|west|sensor|13|paid
2081|ember|south|sensor|87|pending
1642|ionic|west|frame|54|held
2313|acme|west|gasket|21|pending
2145|cobalt|south|sensor|98|pending
1224|fulton|east|pump|42|pending
2323|fulton|east|cable|30|paid
1874|harbor|north|gasket|89|shipped
1449|acme|west|cable|36|paid
2067|birch|south|pump|38|held
1316|fulton|south|valve|51|paid
2285|harbor|west|gasket|43|paid
1986|ember|west|sensor|83|held
2312|fulton|east|cable|34|paid
1221|fulton|east|panel|89|held
2171|fulton|east|gasket|43|pending
1771|cobalt|east|rotor|56|pending
1586|harbor|south|gasket|12|held
1864|acme|west|frame|44|pending
1320|cobalt|south|rotor|99|paid
1827|dorian|south|valve|26|pending
1584|ember|north|cable|58|paid
1241|fulton|east|sensor|37|held
1752|harbor|north|panel|96|shipped
2265|juno|east|valve|95|paid
1298|birch|east|frame|70|shipped
1555|harbor|north|frame|43|paid
1957|ember|south|sensor|67|pending
2035|dorian|west|sensor|47|shipped
1327|juno|south|sensor|72|held
1354|harbor|north|valve|20|paid
1890|harbor|west|valve|52|paid
2157|ember|south|rotor|51|paid
1999|birch|south|panel|76|held
1527|cobalt|east|cable|23|held
2070|gale|south|cable|68|shipped
1661|gale|west|cable|72|paid
1248|fulton|east|pump|37|pending
1795|ionic|south|sensor|21|paid
1657|ember|north|sensor|84|pending
1624|ionic|east|gasket|71|held
1963|dorian|west|cable|48|pending
1267|dorian|west|valve|11|pending
1817|harbor|south|gasket|92|pending
1622|ionic|east|panel|44|shipped
1352|ember|north|panel|67|shipped
1431|dorian|east|panel|58|pending
2233|juno|north|rotor|87|pending
1544|birch|west|panel|18|pending
1235|fulton|east|pump|37|pending
1436|fulton|east|frame|16|held
1313|fulton|north|sensor|15|held
2334|juno|south|panel|21|pending
2099|ionic|east|pump|51|pending
1968|cobalt|east|gasket|50|pending
2209|ember|west|gasket|18|shipped
1787|birch|west|panel|98|shipped
1517|ember|south|valve|37|pending
2138|dorian|east|cable|88|paid
1253|fulton|east|frame|86|pending
1412|birch|south|gasket|32|shipped
1346|juno|south|gasket|91|held
1720|juno|north|cable|47|held
2331|birch|east|panel|52|paid
1554|juno|south|sensor|72|paid
2197|birch|east|sensor|85|shipped
2341|fulton|north|panel|79|paid
1599|cobalt|south|frame|34|held
2180|harbor|west|pump|24|pending
1913|birch|south|frame|90|paid
1532|harbor|north|panel|76|held
2355|acme|west|sensor|58|paid
1334|acme|west|rotor|71|pending
1280|fulton|south|gasket|72|paid
2304|acme|east|valve|43|pending
1811|ionic|west|pump|57|held
1981|dorian|north|cable|46|paid
1880|dorian|south|cable|81|shipped
1747|cobalt|west|panel|93|paid
1939|ember|south|pump|17|paid
2141|juno|north|frame|41|held
2319|birch|east|frame|30|paid
2239|acme|south|sensor|60|pending
1897|dorian|west|cable|47|held
2253|ionic|west|valve|76|held
1802|gale|west|sensor|34|paid
1700|ember|east|valve|79|shipped
1512|juno|north|valve|21|shipped
2091|harbor|north|valve|33|shipped
1250|fulton|east|gasket|91|shipped
1785|birch|south|valve|54|shipped
1734|fulton|east|panel|61|pending
1230|fulton|east|cable|26|paid
1263|juno|south|frame|90|pending
2112|gale|east|cable|36|pending
1349|cobalt|south|rotor|95|paid
1524|ember|east|rotor|47|pending
1713|ionic|north|panel|71|pending
1683|ionic|south|valve|25|shipped
1214|fulton|east|rotor|16|pending
2311|harbor|west|rotor|37|pending
1905|harbor|west|frame|17|pending
2090|fulton|west|cable|62|paid
2042|acme|south|panel|55|paid
2352|dorian|west|cable|15|held
1369|harbor|west|sensor|20|paid
1848|harbor|west|rotor|62|held
1676|acme|east|cable|72|shipped
2163|ember|east|frame|44|paid
2046|ember|east|pump|59|paid
1362|juno|north|gasket|75|shipped
1641|harbor|east|rotor|42|paid
1630|juno|north|pump|31|paid
1573|cobalt|east|sensor|12|pending
1570|cobalt|east|gasket|20|pending
1918|ember|north|rotor|45|held
2295|birch|north|panel|17|paid
2151|ember|west|rotor|40|paid
1390|ember|north|panel|35|pending
2324|cobalt|north|rotor|87|paid
1215|fulton|south|sensor|23|pending
2260|dorian|east|gasket|28|held
1929|juno|south|sensor|80|held
2024|ember|north|rotor|87|paid
2144|dorian|west|valve|50|shipped
1519|dorian|east|valve|85|pending
1292|cobalt|west|rotor|92|shipped
1932|acme|south|rotor|25|held
1649|dorian|west|sensor|42|pending
2302|dorian|south|sensor|99|pending
1399|acme|south|valve|77|pending
1458|harbor|west|panel|57|paid
1442|gale|east|sensor|82|paid
2078|gale|south|gasket|65|paid
1833|ionic|west|panel|13|paid
2277|gale|west|cable|13|paid
1816|acme|south|frame|23|paid
2001|juno|south|panel|87|paid
1372|acme|south|pump|57|held
1547|cobalt|east|sensor|16|held
1380|ionic|south|frame|45|held
1707|fulton|west|cable|34|held
1571|dorian|west|panel|94|held
2283|cobalt|north|sensor|81|shipped
1303|fulton|south|valve|76|pending
2326|fulton|west|panel|42|paid
1704|gale|west|valve|40|shipped
2273|cobalt|south|panel|64|held
1596|juno|south|valve|18|pending
1867|harbor|south|sensor|57|pending
1366|harbor|west|cable|15|shipped
1469|dorian|east|frame|29|shipped
2012|harbor|west|gasket|52|pending
2328|ember|north|panel|27|pending
2074|cobalt|west|rotor|74|paid
1310|dorian|north|sensor|52|shipped
2082|gale|south|cable|56|pending
2028|ember|east|gasket|43|paid
2226|acme|east|gasket|23|shipped
1799|fulton|north|pump|36|pending
1758|juno|south|gasket|52|pending
1726|harbor|north|valve|68|paid
1859|cobalt|south|pump|70|paid
1585|acme|south|sensor|22|paid
2106|ionic|north|gasket|44|shipped
1765|cobalt|south|rotor|30|pending
2248|juno|west|rotor|17|paid
1681|ionic|east|cable|96|shipped
2267|ember|south|frame|24|held
2338|cobalt|east|panel|57|shipped
1340|ember|west|panel|12|pending
2345|cobalt|east|pump|72|pending
1590|juno|west|valve|87|shipped
2119|fulton|south|valve|82|pending
1270|dorian|south|sensor|73|paid
1580|acme|east|panel|26|held
1740|fulton|east|gasket|76|shipped
1388|harbor|west|frame|96|paid
1528|gale|south|sensor|84|pending
1462|harbor|west|gasket|17|held
1557|ionic|west|valve|64|pending
1671|harbor|north|valve|28|held
2284|ionic|west|panel|77|held
1937|cobalt|south|valve|71|held
2008|birch|north|frame|26|pending
2153|juno|west|sensor|16|pending
1262|fulton|east|cable|44|held
2027|harbor|south|sensor|45|pending
1635|ionic|north|sensor|91|shipped
2126|dorian|east|cable|82|shipped
2191|birch|east|sensor|12|pending
1944|gale|north|frame|55|held
1853|ember|south|sensor|77|pending
1779|harbor|north|sensor|88|shipped
2353|ember|north|sensor|87|pending
2187|birch|west|panel|25|paid
1543|ember|north|pump|14|shipped
1488|acme|north|gasket|18|held
2216|dorian|west|sensor|33|paid
2077|acme|south|sensor|11|shipped
1417|ember|east|valve|29|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 49, 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": 1224}},
{"tool": "cancel_order", "args": {"order_id": 1235}},
{"tool": "cancel_order", "args": {"order_id": 1241}},
{"tool": "cancel_order", "args": {"order_id": 1253}},
{"tool": "cancel_order", "args": {"order_id": 1262}},
{"tool": "cancel_order", "args": {"order_id": 1357}},
{"tool": "restock", "args": {"item": "panel", "qty": 61}},
{"tool": "cancel_order", "args": {"order_id": 1454}},
{"tool": "cancel_order", "args": {"order_id": 1707}},
{"tool": "cancel_order", "args": {"order_id": 1719}},
{"tool": "cancel_order", "args": {"order_id": 1799}},
{"tool": "restock", "args": {"item": "gasket", "qty": 43}},
{"tool": "cancel_order", "args": {"order_id": 2171}}
]correctagentic.tools.triage-v1conf 100% · 711ms · $0.000 · 245 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- auth → tanaka
- infra → haddad
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "card declined at checkout" (category: payments, priority 3)
3. "uploads failing intermittently" (category: infra, priority 6)
4. "refund double-charged" (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": "card declined at checkout", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "rivera"}}
]wrongagentic.tools.context-load-v1conf 100% · 419ms · $0.001 · 1710 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 (191 records, format: id|customer|region|item|qty|status):
```
1836|dorian|north|sensor|18|paid
1548|harbor|west|frame|95|shipped
2181|gale|east|sensor|75|pending
2039|ionic|east|gasket|53|paid
1760|cobalt|west|cable|49|pending
2106|juno|north|rotor|66|held
2199|cobalt|east|gasket|81|shipped
1746|acme|south|gasket|57|shipped
1487|acme|south|frame|82|pending
1866|ember|west|valve|44|held
1592|cobalt|west|valve|56|pending
1510|acme|south|pump|19|paid
2084|cobalt|south|cable|39|held
1518|acme|east|cable|41|pending
1775|juno|south|sensor|17|pending
2057|dorian|west|panel|62|shipped
1898|gale|west|frame|52|pending
1635|birch|east|cable|81|pending
2212|juno|west|pump|70|held
1502|acme|south|sensor|41|pending
1588|ember|east|cable|47|paid
1492|acme|east|valve|42|pending
2104|juno|south|rotor|92|paid
1682|birch|north|gasket|87|held
1842|juno|south|panel|78|paid
2259|dorian|south|cable|55|paid
1582|ionic|south|valve|57|shipped
2026|cobalt|south|sensor|65|pending
1546|gale|south|rotor|17|paid
2268|harbor|north|gasket|78|paid
1905|acme|east|rotor|23|shipped
2254|juno|south|panel|27|held
1647|ionic|south|gasket|89|pending
1777|fulton|north|sensor|40|pending
2206|ember|south|pump|37|paid
1869|gale|south|frame|62|held
2115|acme|south|frame|43|pending
2004|birch|north|frame|84|pending
1921|fulton|north|gasket|42|held
2184|fulton|east|cable|30|held
2147|dorian|north|gasket|93|paid
1950|harbor|west|pump|70|shipped
1861|dorian|west|panel|13|pending
1809|harbor|east|cable|73|shipped
2141|cobalt|east|valve|27|held
1843|ember|north|valve|14|shipped
1663|juno|south|cable|86|pending
2169|harbor|south|valve|76|shipped
1798|gale|north|sensor|54|shipped
1527|dorian|north|valve|94|pending
1881|ionic|west|rotor|24|pending
1912|ember|east|pump|82|pending
1943|fulton|north|pump|49|paid
2097|acme|south|pump|34|paid
1571|ionic|east|cable|45|shipped
1734|juno|south|pump|28|paid
2015|ember|east|gasket|23|shipped
1505|acme|west|pump|98|pending
2155|ionic|south|sensor|59|held
1597|juno|south|cable|92|pending
1622|gale|north|pump|40|paid
1607|harbor|south|panel|17|pending
1985|acme|east|cable|71|paid
1756|ionic|west|panel|75|held
1725|birch|east|valve|70|pending
1600|juno|south|valve|18|pending
2091|harbor|south|sensor|82|held
1608|fulton|west|panel|81|shipped
1674|fulton|south|sensor|94|shipped
1926|cobalt|east|rotor|75|pending
1980|gale|north|pump|23|paid
1564|ember|east|valve|40|paid
1576|birch|north|gasket|74|held
2228|birch|west|frame|68|shipped
1594|dorian|east|valve|98|pending
2021|fulton|south|cable|90|held
1859|gale|south|frame|17|paid
1983|harbor|south|sensor|17|shipped
1786|fulton|south|panel|85|shipped
2017|acme|east|gasket|95|shipped
1816|juno|south|pump|11|pending
1627|dorian|east|frame|58|pending
1796|juno|east|pump|57|shipped
1691|ionic|south|cable|48|pending
1559|acme|east|pump|87|pending
1653|fulton|north|gasket|80|held
1908|ionic|south|frame|14|pending
1741|ionic|north|panel|46|pending
1615|gale|south|sensor|60|shipped
1982|harbor|west|cable|91|paid
1702|cobalt|south|rotor|54|paid
2032|harbor|east|gasket|34|paid
1765|ionic|east|rotor|27|held
1714|dorian|north|panel|71|held
1751|harbor|north|gasket|91|pending
1962|ionic|north|valve|42|held
2132|cobalt|west|sensor|92|shipped
1885|fulton|north|cable|65|shipped
1689|cobalt|west|cable|41|pending
1570|harbor|south|gasket|21|paid
1664|fulton|north|panel|71|pending
1540|dorian|west|cable|23|shipped
1486|acme|south|pump|78|paid
1484|acme|east|panel|56|pending
2125|harbor|north|rotor|94|shipped
1894|juno|south|sensor|32|shipped
2063|ionic|west|rotor|23|paid
1497|acme|south|gasket|67|held
1732|ionic|south|rotor|34|pending
2156|juno|north|rotor|43|paid
1704|harbor|east|sensor|32|pending
1890|acme|east|sensor|45|pending
1632|fulton|west|rotor|96|pending
1956|harbor|north|cable|19|paid
2172|cobalt|east|cable|24|held
1638|juno|west|valve|99|pending
1781|birch|north|pump|33|shipped
2038|harbor|east|pump|55|held
2250|ember|east|valve|57|pending
2078|harbor|west|cable|57|pending
1874|harbor|south|cable|18|pending
2109|juno|east|rotor|56|pending
1697|ember|south|sensor|33|pending
2066|dorian|north|valve|14|shipped
2045|acme|west|pump|84|held
1829|birch|north|rotor|85|paid
2244|fulton|south|frame|41|held
1791|acme|west|pump|84|held
2176|cobalt|east|sensor|78|pending
1992|cobalt|west|rotor|96|pending
2264|birch|east|panel|75|pending
1513|acme|south|gasket|77|pending
2071|birch|west|gasket|82|pending
2148|acme|north|gasket|73|shipped
1586|juno|south|sensor|27|paid
2136|juno|west|cable|12|shipped
2217|dorian|north|panel|87|held
1975|cobalt|south|cable|36|paid
2237|juno|west|frame|88|pending
2102|birch|east|panel|80|paid
1629|dorian|north|cable|61|shipped
1804|gale|north|pump|47|held
1936|ember|south|rotor|78|pending
2072|juno|east|sensor|31|shipped
1965|cobalt|north|gasket|46|paid
2149|fulton|north|panel|47|paid
2151|cobalt|west|panel|67|shipped
1651|acme|west|valve|35|paid
1855|juno|east|cable|21|shipped
1848|harbor|north|frame|52|pending
1906|gale|east|gasket|96|shipped
1870|ionic|north|valve|48|pending
2011|gale|west|frame|19|pending
1521|acme|south|cable|70|paid
2050|birch|west|cable|59|held
1593|dorian|west|gasket|40|pending
2027|gale|south|panel|37|paid
2188|acme|west|gasket|46|pending
1670|dorian|north|cable|81|shipped
1882|harbor|north|cable|89|shipped
1480|acme|south|sensor|29|pending
1710|gale|north|valve|60|held
2261|gale|east|rotor|94|shipped
2061|cobalt|north|panel|77|pending
2137|ionic|north|rotor|23|shipped
1675|harbor|west|sensor|42|paid
2161|fulton|north|sensor|44|paid
1686|acme|south|sensor|40|held
1877|fulton|east|valve|69|shipped
2221|acme|west|cable|15|held
1718|birch|south|gasket|87|held
1998|juno|west|sensor|59|paid
1658|ember|south|valve|77|pending
1972|gale|south|sensor|37|held
2122|ionic|north|frame|88|held
2234|juno|north|frame|71|shipped
1555|fulton|east|valve|68|shipped
2111|cobalt|south|rotor|76|held
1772|gale|west|frame|47|paid
1726|juno|west|frame|93|paid
1919|acme|south|gasket|13|shipped
1822|ember|east|frame|93|held
1643|gale|east|panel|91|held
2019|fulton|east|frame|93|shipped
1534|fulton|east|gasket|44|pending
2089|gale|north|gasket|74|pending
2194|fulton|east|panel|72|held
2164|fulton|west|cable|11|paid
1930|cobalt|south|pump|35|paid
1779|dorian|north|cable|65|shipped
1696|acme|south|valve|18|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "frame", "qty": 82}},
{"tool": "restock", "args": {"item": "gasket", "qty": 77}},
{"tool": "restock", "args": {"item": "cable", "qty": 70}},
{"tool": "restock", "args": {"item": "pump", "qty": 87}},
{"tool": "cancel_order", "args": {"order_id": 1675}},
{"tool": "cancel_order", "args": {"order_id": 1719}},
{"tool": "cancel_order", "args": {"order_id": 1732}},
{"tool": "restock", "args": {"item": "gasket", "qty": 91}},
{"tool": "restock", "args": {"item": "pump", "qty": 84}},
{"tool": "cancel_order", "args": {"order_id": 1848}},
{"tool": "cancel_order", "args": {"order_id": 1908}},
{"tool": "restock", "args": {"item": "rotor", "qty": 78}},
{"tool": "cancel_order", "args": {"order_id": 1972}},
{"tool": "cancel_order", "args": {"order_id": 2011}},
{"tool": "restock", "args": {"item": "cable", "qty": 59}},
{"tool": "restock", "args": {"item": "gasket", "qty": 82}},
{"tool": "restock", "args": {"item": "rotor", "qty": 76}},
{"tool": "cancel_order", "args": {"order_id": 2137}},
{"tool": "restock", "args": {"item": "gasket", "qty": 73}},
{"tool": "cancel_order", "args": {"order_id": 2164}},
{"tool": "cancel_order", "args": {"order_id": 2188}},
{"tool": "restock", "args": {"item": "frame", "qty": 71}}
]correctagentic.tools.deploy-v1conf 100% · 555ms · $0.000 · 106 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: gateway, reports
- notifier: gateway
- reports: (none)
- gateway: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}}
]wrongagentic.tools.ledger-v1conf 100% · 324ms · $0.000 · 196 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $656
- alpha: $778
- lima: $788
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $382 from "oscar" to "alpha"
2. pay $304 from "alpha" to "lima"
3. pay $233 from "alpha" to "oscar"
4. pay $470 from "lima" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 382}},
{"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 304}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 19}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 233}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 168}},
{"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 470}}
]correctagentic.tools.triage-v1conf 100% · 370ms · $0.000 · 240 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
- infra → novak
- auth → dubois
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 6)
2. "uploads failing intermittently" (category: infra, priority 5)
3. "uploads failing intermittently" (category: infra, priority 5)
4. "invoice total wrong" (category: payments, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}}
]wrongagentic.tools.context-load-v1conf 100% · 470ms · $0.001 · 167 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (287 records, format: id|customer|region|item|qty|status):
```
1883|birch|west|pump|76|shipped
1393|birch|east|pump|68|paid
1545|ember|east|panel|58|shipped
1882|cobalt|west|pump|65|pending
1607|gale|west|frame|56|shipped
1811|cobalt|south|rotor|35|held
1166|dorian|west|cable|86|pending
2170|ionic|north|cable|64|shipped
1185|harbor|west|frame|33|paid
1125|harbor|west|rotor|54|pending
1443|juno|north|pump|74|shipped
2055|birch|west|pump|13|shipped
1603|ember|south|gasket|54|pending
1571|fulton|west|gasket|89|held
2114|gale|west|pump|47|shipped
1549|ionic|north|pump|65|pending
1991|fulton|west|valve|85|held
2026|birch|south|gasket|88|paid
1868|dorian|south|gasket|60|shipped
2192|acme|west|pump|63|pending
1876|fulton|east|frame|54|pending
2148|ionic|south|frame|25|shipped
1480|juno|south|pump|91|paid
1487|harbor|east|panel|37|paid
1275|acme|south|panel|62|pending
1975|cobalt|east|rotor|78|pending
1428|ionic|east|pump|88|paid
1436|ionic|north|gasket|73|held
1223|juno|west|rotor|92|shipped
1189|juno|west|cable|11|shipped
1732|ionic|west|panel|53|paid
1890|harbor|south|frame|46|held
1522|ionic|south|gasket|85|paid
2099|cobalt|north|cable|73|held
1687|juno|south|frame|75|paid
2139|ember|north|valve|26|shipped
2152|cobalt|north|rotor|28|held
1705|ember|east|gasket|10|shipped
2126|harbor|west|cable|79|held
1723|fulton|north|frame|32|paid
2162|ember|south|cable|76|pending
1987|fulton|south|rotor|87|pending
1910|birch|north|gasket|39|shipped
1442|cobalt|west|gasket|53|held
1153|cobalt|north|rotor|48|pending
1437|ember|east|panel|51|shipped
1310|ionic|south|valve|53|paid
2180|birch|east|frame|90|pending
1140|fulton|west|pump|37|pending
1767|cobalt|west|valve|54|paid
1823|acme|south|panel|32|pending
1116|ionic|north|pump|43|pending
1564|birch|east|pump|70|held
1207|ember|east|rotor|71|pending
1919|harbor|west|frame|66|paid
1410|juno|east|pump|19|paid
1386|fulton|west|pump|43|pending
1532|ionic|east|rotor|54|held
1455|juno|south|panel|23|held
1097|cobalt|west|valve|75|pending
1616|harbor|north|sensor|33|paid
1317|juno|west|valve|82|held
1639|dorian|east|frame|57|held
1252|fulton|south|cable|46|pending
1635|acme|west|cable|22|shipped
2171|cobalt|east|sensor|69|shipped
2109|fulton|west|pump|62|held
1660|ember|west|pump|93|shipped
1722|birch|south|frame|99|paid
1450|ionic|east|cable|28|pending
1530|harbor|north|pump|36|shipped
2047|ember|east|rotor|41|held
1077|cobalt|south|frame|21|pending
2101|acme|south|cable|16|pending
1850|ionic|west|pump|12|pending
1199|dorian|south|rotor|29|pending
1719|gale|east|valve|78|pending
1358|fulton|south|sensor|78|shipped
1260|cobalt|west|valve|89|held
1355|ionic|north|gasket|82|paid
1424|acme|south|panel|92|shipped
1326|juno|west|gasket|50|shipped
1083|cobalt|west|rotor|79|pending
1653|ionic|north|rotor|27|paid
1867|birch|north|sensor|41|held
1860|acme|west|frame|88|paid
2033|acme|east|panel|68|shipped
1750|juno|west|panel|95|paid
2043|ionic|north|cable|33|shipped
1585|acme|north|cable|35|paid
1417|ionic|west|panel|95|shipped
1757|acme|west|panel|18|shipped
2015|ember|east|frame|60|pending
1957|acme|east|valve|14|held
1159|ionic|north|cable|32|pending
2112|acme|west|gasket|83|pending
1820|ember|east|valve|86|pending
1835|gale|east|sensor|68|held
2088|juno|north|valve|71|held
1143|juno|south|valve|32|held
1761|gale|west|cable|12|shipped
1290|cobalt|west|valve|12|paid
1262|ionic|north|cable|46|paid
2071|birch|east|sensor|72|pending
1608|ionic|west|sensor|35|held
1584|juno|north|cable|84|pending
1297|cobalt|north|frame|41|shipped
1833|acme|west|rotor|50|shipped
1708|dorian|east|panel|31|pending
1685|gale|west|rotor|77|shipped
1172|harbor|north|rotor|13|paid
1381|ember|south|sensor|83|held
1928|dorian|north|cable|91|paid
2164|juno|east|valve|77|held
2044|gale|north|gasket|10|held
1146|juno|south|rotor|26|pending
1646|cobalt|north|pump|41|pending
1792|cobalt|east|sensor|67|held
1334|harbor|south|rotor|48|pending
1940|birch|south|gasket|50|paid
1062|cobalt|north|rotor|95|pending
1195|birch|east|frame|58|held
1486|dorian|west|pump|72|paid
1366|cobalt|west|rotor|75|paid
1535|dorian|south|valve|68|pending
1301|gale|west|rotor|18|pending
1827|fulton|east|panel|69|paid
1695|ionic|south|gasket|86|pending
2184|fulton|west|valve|36|shipped
1123|gale|east|gasket|39|held
1519|cobalt|east|rotor|43|paid
1566|dorian|north|frame|70|held
2129|fulton|north|valve|91|shipped
1769|gale|north|valve|46|shipped
2161|acme|west|panel|83|paid
1870|cobalt|south|gasket|52|pending
2083|birch|north|sensor|78|paid
2013|ionic|west|sensor|30|held
1999|birch|west|rotor|95|paid
1901|fulton|south|valve|85|held
1133|acme|south|panel|44|held
2106|cobalt|north|gasket|23|held
1495|ember|south|rotor|98|pending
1285|acme|east|cable|72|paid
1727|fulton|west|pump|51|paid
1462|fulton|west|pump|41|paid
1734|ionic|north|sensor|43|shipped
1493|harbor|north|sensor|84|paid
1966|cobalt|north|rotor|96|paid
2072|fulton|south|sensor|89|paid
1061|cobalt|west|rotor|40|pending
1615|birch|west|valve|35|shipped
1306|dorian|west|cable|35|shipped
1206|harbor|south|rotor|72|held
1905|fulton|north|frame|21|shipped
1230|harbor|south|panel|61|held
1201|acme|south|cable|27|paid
1506|birch|east|frame|70|paid
1627|juno|south|sensor|83|held
1238|fulton|west|rotor|38|paid
1824|acme|south|rotor|10|held
1755|fulton|east|panel|71|held
1302|fulton|south|panel|38|held
1454|fulton|west|rotor|47|held
2079|juno|west|sensor|28|shipped
1936|fulton|south|cable|60|pending
2153|gale|south|gasket|55|held
2020|juno|north|panel|91|shipped
1699|juno|east|sensor|35|pending
1372|dorian|south|panel|38|shipped
1286|ember|south|panel|37|shipped
1781|birch|east|panel|58|held
2080|harbor|west|gasket|99|paid
1900|dorian|east|gasket|73|held
1759|fulton|north|panel|70|held
2049|birch|east|pump|15|held
2001|fulton|north|pump|37|pending
1121|juno|west|pump|46|held
1628|harbor|west|sensor|74|pending
1278|harbor|east|panel|43|shipped
1804|birch|north|valve|46|paid
1840|cobalt|west|panel|86|paid
2159|gale|north|gasket|59|held
1632|acme|east|rotor|46|shipped
1658|gale|north|pump|42|paid
1433|juno|west|gasket|12|held
1111|cobalt|west|sensor|42|held
2008|juno|south|cable|49|paid
1070|cobalt|west|sensor|34|pending
1579|dorian|east|cable|54|held
1087|cobalt|north|panel|34|pending
1327|gale|north|frame|27|held
1214|fulton|east|valve|11|held
1573|ionic|west|gasket|59|paid
1667|birch|west|sensor|47|shipped
2003|cobalt|south|valve|50|held
1964|juno|west|cable|27|shipped
1130|dorian|west|frame|90|paid
1741|cobalt|south|cable|53|shipped
1925|ionic|east|sensor|64|held
1377|ionic|east|rotor|88|held
1672|harbor|south|frame|10|paid
1555|harbor|west|valve|64|held
1713|harbor|north|cable|65|paid
1692|acme|west|sensor|17|held
1620|birch|west|sensor|98|held
1676|juno|north|rotor|23|held
1476|cobalt|north|panel|13|held
1364|cobalt|east|sensor|14|pending
1962|acme|north|sensor|20|shipped
1853|acme|west|cable|64|held
2057|gale|north|panel|39|held
1775|juno|south|rotor|31|paid
1408|fulton|north|frame|17|held
1531|ionic|south|gasket|87|shipped
1745|dorian|south|gasket|41|shipped
1430|gale|east|frame|45|shipped
1693|acme|west|rotor|80|held
1612|birch|south|sensor|21|pending
2007|acme|north|valve|29|shipped
1592|gale|east|gasket|84|pending
1768|ember|east|valve|11|held
1980|dorian|east|rotor|38|pending
1104|cobalt|north|sensor|54|pending
1236|gale|north|sensor|44|paid
1946|dorian|east|pump|88|shipped
1907|juno|south|frame|73|pending
1402|cobalt|west|gasket|68|shipped
1815|cobalt|south|pump|18|held
1652|birch|south|cable|55|shipped
2146|birch|south|rotor|97|pending
1452|cobalt|east|pump|12|held
1345|acme|north|gasket|48|held
2174|gale|east|rotor|83|paid
2140|ember|north|rotor|73|pending
1220|ionic|east|cable|33|paid
1968|juno|south|pump|57|pending
1470|fulton|north|cable|68|paid
1339|dorian|west|rotor|30|pending
2120|juno|west|valve|64|held
1725|ionic|east|rotor|65|paid
1273|fulton|north|valve|19|held
1513|birch|south|pump|21|shipped
1324|ionic|south|valve|46|pending
1683|juno|north|valve|25|pending
1992|fulton|east|gasket|22|held
1848|ember|west|sensor|22|paid
1350|dorian|east|pump|41|shipped
1515|gale|south|cable|19|pending
1178|harbor|east|pump|36|held
1933|birch|south|sensor|13|shipped
1604|gale|north|valve|34|shipped
1921|harbor|east|pump|36|pending
2038|birch|south|gasket|27|held
1078|cobalt|west|cable|91|shipped
1258|ionic|south|panel|23|held
1678|dorian|north|rotor|64|pending
2063|fulton|east|rotor|39|shipped
1540|gale|east|frame|39|paid
2187|acme|east|panel|94|pending
1063|cobalt|west|panel|83|held
2095|fulton|west|valve|54|pending
1122|birch|south|panel|30|held
1950|dorian|south|rotor|17|paid
1599|ember|north|valve|40|shipped
2134|ember|south|cable|32|held
1245|ember|north|frame|44|pending
1866|juno|west|sensor|29|shipped
1351|juno|west|rotor|58|held
1924|gale|south|panel|89|shipped
1797|fulton|east|frame|82|held
1267|ember|west|sensor|90|held
1845|birch|south|frame|21|shipped
1665|harbor|east|sensor|60|held
1788|harbor|east|sensor|70|pending
1092|cobalt|west|pump|25|paid
1468|juno|north|panel|49|shipped
2066|acme|north|panel|41|paid
1305|gale|south|pump|75|held
1400|cobalt|west|panel|35|paid
1897|acme|north|valve|39|shipped
1947|gale|south|pump|62|pending
1526|ionic|west|cable|61|shipped
1431|acme|west|rotor|20|held
1915|harbor|west|gasket|82|paid
1500|ionic|south|valve|75|paid
1558|cobalt|west|pump|21|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 52, 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": 1882}},
{"tool": "restock", "args": {"item": "valve", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1061}},
{"tool": "cancel_order", "args": {"order_id": 1097}},
{"tool": "cancel_order", "args": {"order_id": 1442}},
{"tool": "cancel_order", "args": {"order_id": 1558}},
{"tool": "cancel_order", "args": {"order_id": 1652}}
]correctagentic.tools.deploy-v1conf 100% · 263ms · $0.000 · 106 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: (none)
- billing: reports
- search: reports
- notifier: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}}
]wrongagentic.tools.ledger-v1conf 100% · 277ms · $0.000 · 230 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $469
- echo: $285
- bravo: $817
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $431 from "oscar" to "bravo"
2. pay $203 from "bravo" to "echo"
3. pay $548 from "oscar" to "echo"
4. pay $538 from "oscar" to "echo"
5. pay $557 from "echo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 431}},
{"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 203}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 179}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 548}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 169}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 538}},
{"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 557}}
]wrongagentic.tools.triage-v1conf 100% · 354ms · $0.000 · 191 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- data → okafor
- auth → chen
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 5)
2. "webhooks not delivered" (category: infra, priority 5)
3. "locked out after 2FA change" (category: auth, 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": "webhooks not delivered", "priority": 5}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}}
]wrongagentic.tools.ledger-v1conf 100% · 318ms · $0.000 · 218 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: $230
- alpha: $494
- oscar: $415
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $291 from "alpha" to "bravo"
2. pay $177 from "alpha" to "oscar"
3. pay $351 from "alpha" to "oscar"
4. pay $178 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": "bravo", "amount": 291}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 1}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 177}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 1}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 351}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 1}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 178}}
]wrongagentic.tools.deploy-v1conf 100% · 288ms · $0.000 · 107 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
- auth-svc: reports
- search: 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": "search"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]wrongagentic.tools.context-load-v1conf 100% · 398ms · $0.001 · 397 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 (222 records, format: id|customer|region|item|qty|status):
```
1580|harbor|east|sensor|56|shipped
1865|ionic|west|frame|78|held
2002|acme|east|frame|42|pending
1635|acme|north|gasket|12|paid
1743|juno|west|panel|15|held
1373|acme|north|cable|67|pending
1529|fulton|north|pump|31|held
1833|birch|west|gasket|93|pending
1382|harbor|west|pump|23|paid
1798|dorian|east|cable|14|held
2062|dorian|west|frame|56|paid
1484|harbor|west|frame|96|held
2015|dorian|north|cable|22|pending
1914|dorian|south|panel|94|paid
2147|fulton|south|cable|83|paid
1805|ember|east|valve|61|shipped
2114|ember|south|cable|20|paid
2080|cobalt|west|valve|67|pending
1790|gale|north|rotor|13|held
2059|ionic|west|pump|77|pending
1704|fulton|west|panel|92|pending
1364|juno|west|panel|44|held
1617|juno|west|panel|12|shipped
1812|fulton|south|sensor|69|pending
1848|ionic|south|cable|75|held
1767|juno|east|sensor|33|held
1885|acme|east|valve|16|paid
1756|dorian|east|panel|83|paid
1987|ember|west|pump|64|held
2208|fulton|north|valve|42|pending
2122|acme|east|panel|67|shipped
1327|birch|west|rotor|35|pending
1537|ember|south|sensor|51|held
1921|fulton|west|gasket|20|held
1468|cobalt|west|valve|90|held
2190|cobalt|east|gasket|11|pending
2017|harbor|south|sensor|48|paid
2039|harbor|west|gasket|52|held
1819|gale|west|pump|75|shipped
1255|acme|north|valve|30|paid
2118|dorian|north|pump|68|shipped
2090|dorian|north|panel|65|paid
1854|acme|west|sensor|51|pending
1668|birch|west|pump|29|pending
2051|dorian|south|gasket|58|held
1278|acme|north|frame|86|held
1455|dorian|east|cable|23|held
1344|fulton|west|pump|93|shipped
1282|birch|east|gasket|80|shipped
1761|birch|south|valve|18|pending
2164|dorian|south|rotor|96|shipped
1403|gale|east|frame|64|shipped
1980|gale|north|gasket|80|paid
1825|birch|east|cable|23|paid
1804|dorian|east|valve|37|held
1623|harbor|east|rotor|85|pending
1887|dorian|south|pump|84|pending
1716|birch|west|pump|31|pending
1758|ionic|east|cable|34|held
1495|acme|west|rotor|41|paid
2067|birch|east|cable|11|paid
1774|dorian|east|pump|11|held
1675|birch|west|sensor|55|held
1593|dorian|north|pump|74|held
1973|dorian|east|sensor|23|held
1736|cobalt|west|valve|69|paid
1614|ionic|east|pump|41|paid
2199|harbor|south|pump|36|paid
1272|acme|north|panel|47|pending
1931|acme|north|gasket|23|paid
1397|juno|north|panel|74|shipped
2215|gale|south|cable|22|paid
1548|gale|west|valve|59|pending
1363|fulton|north|valve|99|pending
1722|fulton|east|gasket|30|held
1646|juno|south|pump|64|pending
1359|gale|north|gasket|62|shipped
2126|cobalt|south|gasket|69|shipped
1764|ionic|south|gasket|90|paid
1475|fulton|south|pump|51|shipped
1794|fulton|east|gasket|68|shipped
1341|gale|west|gasket|46|pending
1296|gale|east|sensor|38|paid
1301|harbor|west|frame|27|held
2172|ember|north|valve|58|paid
2093|acme|north|panel|25|paid
2102|harbor|north|cable|62|shipped
1441|acme|south|gasket|43|paid
1576|ember|east|rotor|71|pending
1967|acme|south|pump|36|paid
1461|gale|west|rotor|33|shipped
1840|ember|north|rotor|92|shipped
2132|birch|west|valve|29|paid
1419|ember|north|gasket|73|held
1656|juno|west|sensor|93|shipped
1488|harbor|east|pump|94|paid
1880|gale|east|cable|80|paid
1332|cobalt|south|valve|34|held
1249|acme|north|cable|37|pending
2131|ember|east|pump|30|paid
1458|acme|west|gasket|66|pending
2096|birch|south|sensor|80|held
1324|ember|north|sensor|21|held
1357|cobalt|north|rotor|73|shipped
2087|ionic|north|panel|61|paid
1948|birch|south|pump|45|shipped
2136|dorian|south|sensor|14|shipped
1728|harbor|south|gasket|74|held
1886|acme|east|panel|36|held
1545|birch|east|cable|71|held
1690|gale|west|valve|60|held
1910|dorian|west|frame|50|paid
2151|acme|west|gasket|88|paid
1442|harbor|east|cable|48|shipped
2169|fulton|north|rotor|52|paid
1587|cobalt|north|sensor|99|pending
1830|juno|north|gasket|50|held
1846|fulton|north|panel|54|shipped
1549|ionic|east|valve|26|shipped
1290|birch|north|pump|11|paid
1307|acme|east|panel|93|pending
1907|ember|west|rotor|40|pending
2073|ionic|north|valve|26|paid
1868|fulton|south|sensor|16|paid
1763|acme|south|rotor|49|shipped
1709|acme|north|sensor|81|held
1849|fulton|west|sensor|98|shipped
1423|dorian|north|gasket|99|shipped
1878|gale|east|gasket|27|paid
1775|cobalt|north|panel|23|shipped
1533|birch|west|pump|62|shipped
1266|acme|north|sensor|98|held
1314|ember|west|cable|15|pending
2028|harbor|north|pump|19|shipped
2048|cobalt|north|valve|30|shipped
1992|dorian|east|gasket|59|paid
2058|juno|east|frame|68|shipped
1595|ionic|west|frame|72|held
1619|acme|west|panel|93|paid
1732|dorian|west|cable|92|shipped
1781|dorian|north|gasket|29|shipped
2038|juno|east|gasket|49|held
1711|acme|east|gasket|44|shipped
1901|acme|south|gasket|35|paid
1997|dorian|north|gasket|37|held
1523|cobalt|south|rotor|87|paid
1483|dorian|north|sensor|87|shipped
1445|harbor|west|gasket|44|paid
1961|ember|west|gasket|94|shipped
2206|birch|east|sensor|46|held
1321|ember|north|cable|19|held
1679|gale|south|cable|58|shipped
1448|birch|south|rotor|38|paid
1652|fulton|south|frame|81|pending
1350|dorian|north|pump|59|shipped
1858|fulton|west|rotor|31|paid
1631|juno|east|sensor|28|held
1697|gale|west|frame|67|pending
1894|ember|west|frame|53|held
1927|gale|west|rotor|16|held
2009|gale|west|panel|65|pending
1785|cobalt|west|valve|43|shipped
1539|gale|west|gasket|43|held
2098|birch|east|pump|80|pending
2142|juno|east|frame|33|pending
1414|ember|west|pump|59|pending
1511|cobalt|north|panel|59|paid
1250|acme|south|valve|12|pending
1388|birch|east|rotor|50|pending
1502|fulton|east|rotor|20|held
1276|acme|south|sensor|99|pending
1685|ionic|south|frame|19|paid
2031|cobalt|east|panel|96|shipped
1630|ionic|south|panel|54|paid
1571|ionic|east|frame|56|paid
1893|gale|east|rotor|81|shipped
2197|cobalt|north|pump|97|shipped
1518|ember|north|sensor|61|paid
1287|juno|south|cable|22|paid
1720|ionic|north|rotor|79|pending
1371|birch|south|pump|84|pending
1943|gale|west|gasket|97|paid
1492|harbor|north|panel|88|held
1354|juno|north|cable|38|held
1395|birch|south|rotor|51|paid
1661|ember|north|pump|63|pending
2177|dorian|north|pump|81|pending
1644|ionic|north|pump|39|paid
1427|fulton|north|gasket|57|shipped
1938|dorian|west|valve|13|held
1873|ionic|south|frame|37|held
2184|juno|south|gasket|78|paid
1338|gale|north|cable|15|shipped
1954|cobalt|west|cable|34|paid
2056|fulton|north|sensor|56|held
1556|dorian|east|valve|79|shipped
2167|gale|east|pump|47|paid
1378|cobalt|east|gasket|87|pending
1325|harbor|west|rotor|85|held
1605|acme|west|sensor|27|held
1478|harbor|west|rotor|23|paid
2022|juno|south|rotor|78|pending
2158|juno|west|gasket|17|paid
1601|cobalt|south|gasket|68|pending
1870|fulton|south|rotor|19|held
1264|acme|south|valve|77|pending
2186|ember|west|valve|76|paid
1674|dorian|north|pump|86|shipped
1566|gale|south|frame|70|held
1504|cobalt|east|rotor|45|pending
1432|harbor|west|cable|64|held
1638|juno|east|frame|27|held
1749|ember|west|cable|83|shipped
1408|cobalt|west|sensor|99|held
2111|harbor|west|frame|84|shipped
1257|acme|north|sensor|91|pending
2106|harbor|north|rotor|11|pending
2041|acme|south|panel|61|pending
1608|fulton|north|cable|21|held
1888|birch|east|cable|78|paid
1562|fulton|north|rotor|66|pending
1437|fulton|south|sensor|46|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "cancel_order", "args": {"order_id": 1249}},
{"tool": "cancel_order", "args": {"order_id": 1257}},
{"tool": "cancel_order", "args": {"order_id": 1272}},
{"tool": "restock", "args": {"item": "panel", "qty": 93}},
{"tool": "cancel_order", "args": {"order_id": 1307}},
{"tool": "cancel_order", "args": {"order_id": 1423}},
{"tool": "cancel_order", "args": {"order_id": 1461}},
{"tool": "cancel_order", "args": {"order_id": 1492}},
{"tool": "cancel_order", "args": {"order_id": 1502}},
{"tool": "cancel_order", "args": {"order_id": 1576}},
{"tool": "cancel_order", "args": {"order_id": 1605}},
{"tool": "cancel_order", "args": {"order_id": 1623}},
{"tool": "cancel_order", "args": {"order_id": 1690}},
{"tool": "cancel_order", "args": {"order_id": 1709}},
{"tool": "cancel_order", "args": {"order_id": 1763}},
{"tool": "cancel_order", "args": {"order_id": 1786}},
{"tool": "cancel_order", "args": {"order_id": 2041}},
{"tool": "cancel_order", "args": {"order_id": 2106}}
]wrongagentic.tools.triage-v1conf 100% · 513ms · $0.000 · 214 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- data → silva
- auth → novak
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "card declined at checkout" (category: payments, priority 3)
3. "cannot reset password" (category: auth, priority 2)
4. "invoice total wrong" (category: payments, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-1", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.ledger-v1conf 100% · 330ms · $0.000 · 226 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: $635
- alpha: $168
- delta: $737
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $541 from "delta" to "kilo"
2. pay $524 from "alpha" to "kilo"
3. pay $330 from "kilo" to "delta"
4. pay $533 from "alpha" to "delta"
5. pay $140 from "alpha" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 541}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 524}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 105}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 330}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 109}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 533}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 140}}
]wrongagentic.tools.deploy-v1conf 100% · 420ms · $0.000 · 107 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: (none)
- gateway: notifier
- reports: notifier
- billing: notifier, reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}}
]wrongagentic.tools.context-load-v1anchorconf 100% · 462ms · $0.001 · 334 tok
model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1357}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "cancel_order", "args": {"order_id": 1391}},
{"tool": "cancel_order", "args": {"order_id": 1402}},
{"tool": "cancel_order", "args": {"order_id": 1578}},
{"tool": "restock", "args": {"item": "frame", "qty": 92}},
{"tool": "cancel_order", "args": {"order_id": 1604}},
{"tool": "cancel_order", "args": {"order_id": 1628}},
{"tool": "cancel_order", "args": {"order_id": 1682}},
{"tool": "cancel_order", "args": {"order_id": 1685}},
{"tool": "cancel_order", "args": {"order_id": 1759}},
{"tool": "cancel_order", "args": {"order_id": 1802}},
{"tool": "cancel_order", "args": {"order_id": 1849}},
{"tool": "cancel_order", "args": {"order_id": 1936}}
]wrongagentic.tools.triage-v1conf 100% · 326ms · $0.000 · 216 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:
- auth → novak
- payments → silva
- data → dubois
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
3. "export file corrupted" (category: data, priority 7)
4. "cannot reset password" (category: auth, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "novak"}}
]correctagentic.tools.deploy-v1anchorconf 100% · 286ms · $0.000 · 108 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1anchorconf 100% · 314ms · $0.000 · 265 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"}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 321ms · $0.000 · 227 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": 132}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 9/30 correct
wrongcode.trace.nested-v1conf 100% · 426ms · $0.000 · 1088 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
535correctcode.trace.python-v1conf 100% · 300ms · $0.000 · 1964 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 5
while total + v <= 112:
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:
84wrongcode.trace.js-v1conf 100% · 265ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 3) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
120correctcode.trace.python-v1conf 100% · 298ms · $0.000 · 423 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 15
while total + v <= 91:
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% · 284ms · $0.000 · 19 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12]; 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:
108correctcode.trace.nested-v1conf 100% · 317ms · $0.000 · 591 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 == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
80wrongcode.trace.nested-v1conf 100% · 270ms · $0.000 · 1270 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 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:
179wrongcode.trace.python-v1conf — · 379ms · $0.000 · 2096 tok
question
What does this Python program print?
```python
total = 0
v = 4
while total + v <= 112:
if v % 7 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongcode.trace.js-v1conf 100% · 276ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
175wrongcode.trace.python-v1conf 100% · 373ms · $0.000 · 19 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 77:
if v % 4 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
100wrongcode.trace.js-v1conf 100% · 380ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 6) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210correctcode.trace.nested-v1conf 100% · 265ms · $0.000 · 1018 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
466wrongcode.trace.nested-v1conf 100% · 661ms · $0.000 · 726 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
249wrongcode.trace.js-v1conf 100% · 258ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 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:
120wrongcode.trace.python-v1conf 100% · 359ms · $0.000 · 398 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 2
while total + v <= 107:
if v % 7 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
122wrongcode.trace.nested-v1conf 100% · 892ms · $0.000 · 751 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 * 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:
131wrongcode.trace.js-v1conf 100% · 297ms · $0.000 · 20 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 6) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1008correctcode.trace.nested-v1conf 100% · 431ms · $0.000 · 636 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
138wrongcode.trace.python-v1conf 100% · 679ms · $0.000 · 184 tok
question
What does this Python program print?
```python
total = 0
v = 6
while total + v <= 45:
if v % 5 != 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:
269wrongcode.trace.js-v1conf 100% · 307ms · $0.000 · 18 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 2) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60correctcode.trace.python-v1conf 100% · 335ms · $0.000 · 212 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 9
while total + v <= 41:
if v % 7 != 0:
total += v
v += 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:
26wrongcode.trace.nested-v1conf 100% · 452ms · $0.000 · 324 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
174wrongcode.trace.js-v1conf 100% · 599ms · $0.000 · 19 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
240wrongcode.trace.python-v1conf 100% · 1.0s · $0.000 · 580 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 12
while total + v <= 91:
if v % 7 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
96correctcode.trace.python-v1anchorconf 100% · 279ms · $0.000 · 1189 tok
model answer:
0wrongcode.trace.js-v1conf 100% · 571ms · $0.000 · 19 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 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:
120correctcode.trace.nested-v1conf 100% · 289ms · $0.000 · 756 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
165wrongcode.trace.nested-v1anchorconf 100% · 386ms · $0.000 · 369 tok
model answer:
309wrongcode.trace.python-v1anchorconf 100% · 384ms · $0.000 · 365 tok
model answer:
178wrongcode.trace.js-v1anchorconf 100% · 268ms · $0.000 · 19 tok
model answer:
126instruction following 14/30 correct
wrongif.constraints.stack-v1conf — · 448ms · $0.000 · 27 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "orbit" and the last word must be "falcon". 3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.repeat-v1conf 100% · 474ms · $0.000 · 24 tok
question
Write the word "tundra" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TUNDRA/TUNDRA/TUNDRAcorrectif.format.acronym-v1conf 100% · 474ms · $0.000 · 19 tok
question
Take the first letter of each of these words, in order: orbit, quartz, comet, falcon, ember, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
OQCFEEwrongif.constraints.stack-v1conf — · 393ms · $0.000 · 32 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "prism" and the last word must be "delta". 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:
(none extracted)wrongif.format.acronym-v1conf 100% · 417ms · $0.000 · 18 tok
question
Take the third letter of each of these words, in order: echo, basalt, zephyr, 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:
CHZLDcorrectif.format.repeat-v1conf 100% · 299ms · $0.000 · 26 tok
question
Write the word "basalt" 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:
BASALT_BASALT_BASALT_BASALTwrongif.constraints.stack-v1conf — · 454ms · $0.000 · 42 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "comet" and the last word must be "lumen". 3. Use the word "drift" 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:
(none extracted)wrongif.format.acronym-v1conf 100% · 357ms · $0.000 · 20 tok
question
Take the second letter of each of these words, in order: zephyr, orbit, flint, cedar, basalt, quartz. 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:
EOIADQcorrectif.format.repeat-v1conf 100% · 1.0s · $0.000 · 42 tok
question
Write the word "quartz" in capitalized form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZwrongif.constraints.stack-v1conf — · 787ms · $0.000 · 31 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "delta" and the last word must be "lumen". 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:
(none extracted)wrongif.format.acronym-v1conf 100% · 421ms · $0.000 · 18 tok
question
Take the second letter of each of these words, in order: tundra, prism, delta, comet, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
URIMEcorrectif.format.repeat-v1conf 100% · 461ms · $0.000 · 27 tok
question
Write the word "ember" in uppercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EMBER-EMBER-EMBER-EMBER-EMBER-EMBERwrongif.constraints.stack-v1conf — · 495ms · $0.000 · 23 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "comet" and the last word must be "delta". 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:
(none extracted)correctif.format.acronym-v1conf 100% · 406ms · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: lumen, orbit, 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:
LOECTwrongif.constraints.stack-v1conf — · 274ms · $0.000 · 43 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "ember" and the last word must be "nova". 3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.repeat-v1conf 100% · 353ms · $0.000 · 30 tok
question
Write the word "tundra" 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:
TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRAcorrectif.format.repeat-v1conf 100% · 418ms · $0.000 · 56 tok
question
Write the word "zephyr" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr_zephyr_zephyr_zephyr_zephyr_zephyr_zephyrwrongif.format.acronym-v1conf 100% · 373ms · $0.000 · 18 tok
question
Take the third letter of each of these words, in order: nova, basalt, cedar, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VADTwrongif.constraints.stack-v1conf — · 308ms · $0.000 · 24 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "nova" and the last word must be "lumen". 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:
(none extracted)correctif.format.acronym-v1conf 100% · 361ms · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: delta, ember, nova, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DENZwrongif.constraints.stack-v1conf — · 281ms · $0.000 · 39 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "delta" and the last word must be "lumen". 3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.acronym-v1conf 100% · 712ms · $0.000 · 18 tok
question
Take the third letter of each of these words, in order: falcon, drift, flint, cedar, quartz. 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:
LNTQcorrectif.format.repeat-v1conf 100% · 884ms · $0.000 · 23 tok
question
Write the word "ember" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EMBER_EMBER_EMBER_EMBERcorrectif.format.repeat-v1conf 100% · 251ms · $0.000 · 23 tok
question
Write the word "delta" in uppercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DELTA_DELTA_DELTAwrongif.constraints.stack-v1conf — · 318ms · $0.000 · 22 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "basalt" and the last word must be "lumen". 3. Use the word "drift" 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:
(none extracted)wrongif.format.acronym-v1conf 100% · 297ms · $0.000 · 20 tok
question
Take the third letter of each of these words, in order: drift, prism, zephyr, lumen, quartz, 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:
RTRMZDwrongif.constraints.stack-v1anchorconf — · 321ms · $0.000 · 57 tok
model answer:
(none extracted)correctif.format.repeat-v1anchorconf 100% · 271ms · $0.000 · 31 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1anchorconf 100% · 472ms · $0.000 · 45 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 474ms · $0.000 · 18 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 361ms · $0.000 · 22 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 263ms · $0.000 · 16 tok
question
Name the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 16 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% · 526ms · $0.000 · 18 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% · 1.0s · $0.000 · 18 tok
question
What is the author of "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 280ms · $0.000 · 21 tok
question
Name the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 254ms · $0.000 · 16 tok
question
Name the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 259ms · $0.000 · 18 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% · 297ms · $0.000 · 20 tok
question
What is the capital of Myanmar? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 258ms · $0.000 · 16 tok
question
Identify the chemical element with symbol 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% · 310ms · $0.000 · 21 tok
question
Identify the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 391ms · $0.000 · 16 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% · 297ms · $0.000 · 18 tok
question
Name the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 322ms · $0.000 · 17 tok
question
What is the chemical element with symbol K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 251ms · $0.000 · 16 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% · 279ms · $0.000 · 16 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% · 3.0s · $0.000 · 18 tok
question
Name the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 418ms · $0.000 · 16 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 308ms · $0.000 · 21 tok
question
Name the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 282ms · $0.000 · 17 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 256ms · $0.000 · 16 tok
question
Name the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 258ms · $0.000 · 16 tok
question
Identify the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 360ms · $0.000 · 17 tok
question
Identify the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 428ms · $0.000 · 16 tok
question
Name the chemical element with symbol 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% · 325ms · $0.000 · 16 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% · 245ms · $0.000 · 16 tok
question
What is the Australian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2anchorconf 100% · 335ms · $0.000 · 17 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 274ms · $0.000 · 16 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 300ms · $0.000 · 18 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 262ms · $0.000 · 16 tok
model answer:
Leadmath 24/30 correct
correctmath.counterfactual.base-v1conf 100% · 390ms · $0.000 · 310 tok
question
Work strictly in base 7. Multiply the base-7 numbers 55 and 45. 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:
3564correctmath.chained.pipeline-v1conf 100% · 314ms · $0.000 · 160 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 63 × 68. Step 2: Q = P × 4 − 186. 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:
2424correctmath.chained.pipeline-v1conf 100% · 3.3s · $0.000 · 153 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 28 × 59. Step 2: Q = P × 8 − 518. 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:
1589correctmath.percent.chain-v2conf 100% · 545ms · $0.000 · 311 tok
question
An inventory starts at 77000 units. A rival firm shipped 167 unrelated parcels the same week. In the first month the inventory grows by 8%. The company was founded 151 kilometers from the port. The next month it shrinks by 45%, 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:
63575.82correctmath.algebra.system-v2conf 100% · 332ms · $0.000 · 368 tok
question
Solve the system, then answer the derived question. 9x + 6y = 438 5x − 4y = 82 What is the value of 2x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2correctmath.arith.chain-v2conf 100% · 692ms · $0.000 · 241 tok
question
Work out the exact value of this expression. (((43 × 62 − 400) × 6 + 4135) − 11 × 43) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
86290correctmath.counterfactual.base-v1conf 100% · 745ms · $0.000 · 325 tok
question
Work strictly in base 9. Add the base-9 numbers 2345 and 1672. 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:
4127correctmath.chained.pipeline-v1conf 100% · 262ms · $0.000 · 116 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 37 × 47. Step 2: Q = P × 4 − 359. 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:
733correctmath.algebra.system-v2conf 100% · 314ms · $0.000 · 259 tok
question
Solve the system, then answer the derived question. 9x + 7y = 164 5x − 2y = 203 What is the value of 4x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
189wrongmath.percent.chain-v2conf 100% · 541ms · $0.000 · 24 tok
question
An inventory starts at 83000 units. A rival firm shipped 62 unrelated parcels the same week. In the first month the inventory grows by 10%. The warehouse was painted 71 years ago. The next month it shrinks by 22%, and the month after it grows by 21%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
89121.44correctmath.arith.chain-v2conf 100% · 341ms · $0.000 · 241 tok
question
Work out the exact value of this expression. (((36 × 66 − 618) × 6 + 6994) − 11 × 75) × 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:
33434correctmath.counterfactual.base-v1conf 100% · 317ms · $0.000 · 309 tok
question
Work strictly in base 9. Add the base-9 numbers 1728 and 2402. 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:
4231wrongmath.percent.chain-v2conf 100% · 265ms · $0.000 · 23 tok
question
An inventory starts at 79000 units. The warehouse was painted 152 years ago. In the first month the inventory grows by 28%. Each pallet weighs about 90 grams more when wet. The next month it shrinks by 29%, and the month after it grows by 42%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
87333.6correctmath.algebra.system-v2conf 100% · 365ms · $0.000 · 167 tok
question
Solve the system, then answer the derived question. 2x + 3y = 9 2x − 6y = 0 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
14correctmath.arith.chain-v2conf 100% · 287ms · $0.000 · 261 tok
question
Compute the value of the following expression. (((92 × 96 − 545) × 8 + 2601) − 47 × 53) × 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:
132812correctmath.chained.pipeline-v1conf 100% · 278ms · $0.000 · 168 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 25 × 73. Step 2: Q = P × 6 − 851. 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:
1447correctmath.counterfactual.base-v1conf 100% · 315ms · $0.000 · 273 tok
question
Work strictly in base 11. Add the base-11 numbers 2278 and 1717. Give the result IN BASE 11 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3994wrongmath.percent.chain-v2conf 100% · 1.2s · $0.000 · 198 tok
question
An inventory starts at 7000 units. The company was founded 45 kilometers from the port. In the first month the inventory grows by 26%. The delivery van has a 120-liter fuel tank. The next month it shrinks by 38%, and the month after it grows by 44%. 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:
7884.38correctmath.arith.chain-v2conf 100% · 672ms · $0.000 · 235 tok
question
Compute the value of the following expression. (((88 × 33 − 561) × 7 + 7853) − 99 × 47) × 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:
117606correctmath.algebra.system-v2conf 100% · 404ms · $0.000 · 215 tok
question
Solve the system, then answer the derived question. 5x + 3y = 159 5x − 7y = 229 What is the value of 4x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
179wrongmath.counterfactual.base-v1conf 100% · 466ms · $0.000 · 230 tok
question
Work strictly in base 11. Add the base-11 numbers 962 and 1431. Give the result IN BASE 11 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1293correctmath.chained.pipeline-v1conf 100% · 474ms · $0.000 · 168 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 78 × 40. Step 2: Q = P × 8 − 724. 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:
3464wrongmath.percent.chain-v2conf 0% · 337ms · $0.000 · 23 tok
question
An inventory starts at 97000 units. The delivery van has a 96-liter fuel tank. In the first month the inventory grows by 14%. Each pallet weighs about 104 grams more when wet. The next month it shrinks by 40%, and the month after it grows by 25%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
105300.00correctmath.algebra.system-v2conf 100% · 561ms · $0.000 · 263 tok
question
Solve the system, then answer the derived question. 7x + 8y = 308 3x − 2y = -20 What is the value of 5x − 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:
-52correctmath.arith.chain-v2conf 100% · 275ms · $0.000 · 292 tok
question
Evaluate the expression below and give the result. (((35 × 86 − 532) × 3 + 4519) − 85 × 76) × 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:
32958correctmath.counterfactual.base-v1anchorconf 100% · 277ms · $0.000 · 391 tok
model answer:
11236correctmath.chained.pipeline-v1conf 100% · 505ms · $0.000 · 154 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 44 × 79. Step 2: Q = P × 7 − 810. 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:
5882wrongmath.percent.chain-v2anchorconf 100% · 309ms · $0.000 · 185 tok
model answer:
61800.02correctmath.arith.chain-v2anchorconf 100% · 286ms · $0.000 · 286 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 348ms · $0.000 · 215 tok
model answer:
87multilingual 11/30 correct
correctmultilingual.wordnum-v1conf 100% · 300ms · $0.000 · 18 tok
question
A number is written in French: « quatre cent trente-trois ». Another is written in Spanish: « trescientos noventa y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
36correctmultilingual.wordnum-v1conf 100% · 366ms · $0.000 · 19 tok
question
A number is written in French: « quatre cent huit ». Another is written in Spanish: « trescientos dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
106wrongmultilingual.numword-v2conf — · 357ms · $0.000 · 5 tok
question
Compute 52 + 250, 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:
(none extracted)correctmultilingual.wordnum-v1conf 100% · 322ms · $0.000 · 19 tok
question
A number is written in French: « huit cent treize ». Another is written in Spanish: « seiscientos ochenta 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:
127correctmultilingual.wordnum-v1conf 100% · 270ms · $0.000 · 19 tok
question
A number is written in French: « cent quinze ». Another is written in Spanish: « quinientos ». 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:
615wrongmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 35 tok
question
Compute 237 + 352, 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-dix-neufwrongmultilingual.numword-v2conf 100% · 270ms · $0.000 · 25 tok
question
Compute 415 + 77, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent dix-septcorrectmultilingual.wordnum-v1conf 100% · 276ms · $0.000 · 19 tok
question
A number is written in French: « quatre cent quarante-deux ». Another is written in Spanish: « doscientos setenta 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:
171wrongmultilingual.numword-v2conf 100% · 257ms · $0.000 · 22 tok
question
Compute 392 + 306, 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 quatre-vingt-quatorzecorrectmultilingual.numword-v2conf 100% · 780ms · $0.000 · 21 tok
question
Compute 202 + 392, 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 noventa y cuatrowrongmultilingual.wordnum-v1conf 100% · 498ms · $0.000 · 19 tok
question
A number is written in French: « six cent soixante-cinq ». Another is written in Spanish: « doscientos 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:
399correctmultilingual.numword-v2conf 100% · 271ms · $0.000 · 31 tok
question
Compute 152 + 327, 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 setenta y nuevewrongmultilingual.numword-v2conf 100% · 252ms · $0.000 · 25 tok
question
Compute 169 + 338, 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 quarante-septwrongmultilingual.wordnum-v1conf 100% · 256ms · $0.000 · 19 tok
question
A number is written in French: « six cent quatre-vingt-quatorze ». Another is written in Spanish: « cuatrocientos veintidós ». 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:
462wrongmultilingual.wordnum-v1conf 100% · 369ms · $0.000 · 19 tok
question
A number is written in French: « sept cent soixante-seize ». Another is written in Spanish: « cuatrocientos dieciocho ». 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:
894wrongmultilingual.numword-v2conf 100% · 360ms · $0.000 · 15 tok
question
Compute 204 + 109, 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:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 300ms · $0.000 · 20 tok
question
A number is written in French: « cinq cent quatorze ». Another is written in Spanish: « trescientos 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:
1490wrongmultilingual.numword-v2conf 100% · 303ms · $0.000 · 24 tok
question
Compute 257 + 162, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quatre-vingt-dix-neufcorrectmultilingual.wordnum-v1conf 100% · 308ms · $0.000 · 20 tok
question
A number is written in French: « huit cent dix-sept ». Another is written in Spanish: « trescientos treinta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1152wrongmultilingual.numword-v2conf 100% · 263ms · $0.000 · 31 tok
question
Compute 189 + 395, 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-quatorzecorrectmultilingual.wordnum-v1conf 100% · 281ms · $0.000 · 19 tok
question
A number is written in French: « cent vingt-sept ». Another is written in Spanish: « novecientos veintiuno ». 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:
-794wrongmultilingual.numword-v2conf 100% · 327ms · $0.000 · 18 tok
question
Compute 472 + 301, 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:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 254ms · $0.000 · 19 tok
question
A number is written in French: « neuf cent dix-huit ». Another is written in Spanish: « seiscientos veintidós ». 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:
686correctmultilingual.numword-v2conf 100% · 415ms · $0.000 · 19 tok
question
Compute 178 + 176, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent cinquante-quatrewrongmultilingual.numword-v2conf 100% · 344ms · $0.000 · 24 tok
question
Compute 90 + 290, 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-dix-neufwrongmultilingual.wordnum-v1conf 100% · 321ms · $0.000 · 20 tok
question
A number is written in French: « deux cent vingt-huit ». Another is written in Spanish: « novecientos once ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1129wrongmultilingual.numword-v2anchorconf 100% · 258ms · $0.000 · 24 tok
model answer:
quatre cent quatre-vingt-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 250ms · $0.000 · 19 tok
model answer:
150wrongmultilingual.wordnum-v1anchorconf 100% · 260ms · $0.000 · 20 tok
model answer:
1662wrongmultilingual.numword-v2anchorconf 100% · 251ms · $0.000 · 19 tok
model answer:
seiscientos cuatroreasoning 9/30 correct
correctreasoning.deduction.position-v1conf 100% · 301ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Nadir. Dara is number 1 in the queue. Nadir is directly ahead of Priya. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 380ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Kira. Kira is directly ahead of Rosa. Rosa is number 3 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosawrongreasoning.deduction.order-v2conf 95% · 341ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Alice. Priya is older than Ola. Ola is older than Dara. Priya is older than Dara. Goran is heavier than everyone here, but Goran is not being ranked. Priya is older than Dara. Priya is older than Rosa. Alice is older than Mona. Mona is older than Priya. Rosa is older than Ola. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.position-v1conf 100% · 561ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 2 in the queue. Bruno is directly ahead of Mona. Farah is directly ahead of Rosa. 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:
Monawrongreasoning.deduction.order-v2conf 95% · 544ms · $0.000 · 15 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Quinn is heavier than Jonas. Chen is faster than everyone here, but Chen is not being ranked. Goran is heavier than Kira. Ola is heavier than Nadir. Jonas is heavier than Nadir. Jonas is heavier than Ola. Dara is heavier than Quinn. Kira is heavier than Dara. Goran is heavier than Ola. Jonas is heavier than Nadir. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonaswrongreasoning.deduction.order-v2conf 95% · 335ms · $0.000 · 16 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is faster than everyone here, but Farah is not being ranked. Alice is heavier than Rosa. Hana is heavier than Nadir. Nadir is heavier than Tessa. Tessa is heavier than Priya. Hana is heavier than Alice. Alice is heavier than Priya. Tessa is heavier than Alice. Jonas is heavier than Priya. Rosa is heavier than Jonas. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadirwrongreasoning.deduction.position-v1conf 100% · 334ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Ola. Priya is directly ahead of Mona. Liam is directly ahead of Priya. Ola is number 4 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:
Monawrongreasoning.deduction.order-v2conf 100% · 297ms · $0.000 · 17 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Alice. Quinn is heavier than Priya. Ola is heavier than Quinn. Alice is heavier than Priya. Alice is heavier than Jonas. Nadir is heavier than Ola. Priya is heavier than Jonas. Quinn is heavier than Alice. Quinn is heavier than Liam. Mona is taller than everyone here, but Mona is not being ranked. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.position-v1conf 100% · 334ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 1 in the queue. Ines is directly ahead of Hana. Hana 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:
Quinnwrongreasoning.deduction.order-v2conf 95% · 273ms · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Kira. Ines is faster than Hana. Quinn is faster than Alice. Nadir is faster than Ines. Kira is faster than Alice. Ines is faster than Quinn. Hana is faster than Kira. Farah is older than everyone here, but Farah is not being ranked. Rosa is faster than Nadir. Quinn is faster than Hana. 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:
Quinnwrongreasoning.deduction.order-v2conf 100% · 422ms · $0.000 · 17 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Alice. Priya is taller than Bruno. Sami is taller than Goran. Priya is taller than Bruno. Farah is taller than Priya. Alice is taller than Bruno. Goran is taller than Kira. Kira is taller than Farah. Tessa is faster than everyone here, but Tessa is not being ranked. Goran is taller than Priya. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 269ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Dara. Alice is number 2 in the queue. Bruno is directly ahead of Alice. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Darawrongreasoning.deduction.order-v2conf 100% · 609ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Liam is older than Hana. Jonas is older than Liam. Dara is older than Jonas. Jonas is older than Tessa. Kira is faster than everyone here, but Kira is not being ranked. Hana is older than Emil. Dara is older than Emil. Emil is older than Tessa. Priya is older than Tessa. Emil is older than Priya. 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:
Emilwrongreasoning.deduction.position-v1conf 100% · 470ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Ola. Mona is directly ahead of Jonas. Jonas is number 2 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monawrongreasoning.deduction.order-v2conf 100% · 263ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Priya is older than Sami. Liam is older than Ola. Ola is older than Bruno. Quinn is older than Priya. Sami is older than Ola. Liam is older than Bruno. Quinn is older than Liam. Goran is older than Quinn. Liam is older than Priya. Mona is faster than everyone here, but Mona is not being ranked. 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:
Quinnwrongreasoning.deduction.position-v1conf 100% · 323ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 1 in the queue. Jonas is directly ahead of Bruno. Ola is directly ahead of Jonas. 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:
Nadirwrongreasoning.deduction.position-v1conf 100% · 805ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Chen. Kira is number 3 in the queue. Chen is directly ahead of Kira. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonaswrongreasoning.deduction.order-v2conf 100% · 287ms · $0.000 · 17 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Priya. Hana is older than Priya. Goran is older than Bruno. Alice is taller than everyone here, but Alice is not being ranked. Dara is older than Nadir. Mona is older than Dara. Goran is older than Hana. Nadir is older than Hana. Hana is older than Bruno. Nadir is older 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:
Priyawrongreasoning.deduction.order-v2conf 100% · 304ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Nadir. Nadir is older than Kira. Chen is older than Rosa. Chen is older than Priya. Kira is older than Rosa. Quinn is older than Kira. Kira is older than Chen. Emil is taller than everyone here, but Emil is not being ranked. Rosa is older than Priya. Hana is older than Quinn. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf 100% · 458ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Farah. Kira is directly ahead of Emil. Emil is number 4 in the queue. Farah is directly ahead of Kira. 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:
Emilcorrectreasoning.deduction.position-v1conf 100% · 255ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 4 in the queue. Rosa is directly ahead of Ola. Jonas is directly ahead of Rosa. Ola 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:
Jonaswrongreasoning.deduction.position-v1anchorconf 100% · 2.9s · $0.000 · 16 tok
model answer:
Samicorrectreasoning.deduction.order-v2conf 100% · 303ms · $0.000 · 17 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Nadir. Mona is older than Priya. Nadir is older than Priya. Jonas is older than Dara. Sami is faster than everyone here, but Sami is not being ranked. Nadir is older than Rosa. Alice is older than Rosa. Priya is older than Dara. Priya is older than Jonas. Dara is older than Alice. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadirwrongreasoning.deduction.position-v1conf 100% · 631ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Rosa. Ines is directly ahead of Kira. Bruno is number 1 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kirawrongreasoning.deduction.order-v2conf 100% · 269ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Ola. Alice is faster than Goran. Mona is faster than Priya. Bruno is faster than Alice. Priya is faster than Bruno. Quinn is taller than everyone here, but Quinn is not being ranked. Jonas is faster than Mona. Mona is faster than Bruno. Ola is faster than Priya. Jonas is faster than Bruno. 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:
Monawrongreasoning.deduction.position-v1conf 100% · 260ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Bruno. Emil is number 4 in the queue. Mona is directly ahead of Jonas. Bruno is directly ahead of Emil. 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:
Jonaswrongreasoning.deduction.order-v2conf 95% · 263ms · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Chen. Bruno is older than Alice. Bruno is older than Alice. Bruno is older than Kira. Emil is older than Bruno. Rosa is taller than everyone here, but Rosa is not being ranked. Ines is older than Emil. Chen is older than Bruno. Dara is older than Alice. Kira is older than Dara. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicewrongreasoning.deduction.position-v1anchorconf 100% · 280ms · $0.000 · 17 tok
model answer:
Gorancorrectreasoning.deduction.order-v2anchorconf 95% · 262ms · $0.000 · 15 tok
model answer:
Quinnwrongreasoning.deduction.order-v2anchorconf 95% · 254ms · $0.000 · 15 tok
model answer:
Quinnterminal 5/30 correct
wrongterminal.fs.tree-v1conf 100% · 330ms · $0.000 · 60 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/src`): ``` /proj/build/setup.txt /proj/conf/notes.md /proj/main.log /proj/report.cfg /proj/src/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 mkdir -p src/docs-3 rm src/util.md mv main.log todo-7.log touch setup-3.cfg cd build rm ../../proj/setup-3.cfg mkdir -p ../../proj/build-6 mv ../../proj/report.cfg ../../proj/main-2.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/setup.txt
/proj/conf/notes.md
/proj/main-2.log
/proj/report.cfg
/proj/src/docs-3/setup-3.cfg
/proj/todo-7.logwrongterminal.exit.chain-v1conf 100% · 350ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f app.txt && echo C || echo D test -f tmp.txt && echo E || echo F test -f app.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
exit:0wrongterminal.pipeline.predict-v1conf 100% · 293ms · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
fay,eng,105,34
ivy,ops,114,21
max,legal,42,97
lou,legal,92,75
ned,eng,41,24
oli,legal,54,31
jon,ops,43,27
cy,legal,97,36
pam,ops,45,32
ana,hr,56,60
bo,ops,99,81
kim,ops,6,57
gus,sales,18,10
hal,legal,87,21
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
370wrongterminal.exit.chain-v1conf 100% · 347ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 329ms · $0.000 · 55 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/assets`): ``` /proj/conf/draft.cfg /proj/docs/index.txt /proj/docs/report.txt /proj/main.md /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp todo.log conf/ touch draft-2.cfg cd assets mv ../../proj/main.md ./ cd ../../proj mv docs/report.txt docs/setup-3.cfg cd assets rm ../../proj/conf/todo.log cd ../../proj mv conf/draft.cfg conf/draft-6.txt rm draft-2.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/main.md
/proj/conf/draft-6.txt
/proj/docs/index.txt
/proj/docs/setup-3.cfg
/proj/main.md
/proj/todo.logwrongterminal.pipeline.predict-v1conf 100% · 347ms · $0.000 · 34 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` eli,legal,119,79 jon,hr,43,80 pam,ops,8,22 kim,sales,75,64 oli,sales,25,31 gus,eng,36,79 lou,hr,27,30 hal,legal,15,45 ned,hr,50,39 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lou,hr,27,30
ned,hr,50,39correctterminal.fs.tree-v1conf 100% · 555ms · $0.000 · 63 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/docs`): ``` /proj/build/report.md /proj/build/setup.md /proj/docs/main.md /proj/draft.md /proj/index.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p build/assets-5 cd assets mv ../../proj/build/setup.md ../../proj/build/assets-5/ cd . mv ../../proj/draft.md ../../proj/ cd ../../proj touch docs/main-8.txt mkdir -p assets/assets-9 mv index.md assets/assets-9/ mv build/assets-5/setup.md build/assets-5/report-6.md mv draft.md util-8.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/assets-9/index.md
/proj/build/assets-5/report-6.md
/proj/build/report.md
/proj/docs/main-8.txt
/proj/docs/main.md
/proj/util-8.logwrongterminal.exit.chain-v1conf 100% · 623ms · $0.000 · 26 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 amber notes.txt && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
exit:0correctterminal.pipeline.predict-v1conf 100% · 286ms · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,eng,113,14
dev,hr,30,79
ned,legal,81,49
gus,legal,84,73
jon,legal,83,56
bo,hr,85,46
ana,legal,18,15
max,eng,33,39
kim,eng,55,47
cy,legal,96,34
hal,sales,115,61
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' 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:
201wrongterminal.fs.tree-v1conf 100% · 274ms · $0.000 · 66 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/conf`): ``` /proj/assets/draft.cfg /proj/assets/notes.txt /proj/build/todo.log /proj/report.txt /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 cp util.md build/ mv build/todo.log build/draft-4.log cd conf mv ../../proj/build/draft-4.log ../../proj/build/notes-5.txt mv ../../proj/assets/draft.cfg ../../proj/assets/index-8.txt cd ../../proj/assets mv index-8.txt draft-4.md rm ../../proj/report.txt mkdir -p ../../proj/build/conf-2 cd ../../proj/conf ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft-4.md
/proj/assets/notes.txt
/proj/build/conf-2
/proj/build/draft-4.log
/proj/build/notes-5.txt
/proj/conf
/proj/util.mdwrongterminal.exit.chain-v1conf 100% · 271ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F grep -q basil 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
C
E
G
exit:0wrongterminal.pipeline.predict-v1conf 100% · 560ms · $0.000 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,sales,10,73
pam,ops,35,24
ned,hr,85,44
lou,ops,59,59
eli,eng,20,68
jon,eng,91,29
max,sales,116,31
cy,eng,23,39
gus,sales,79,92
fay,eng,117,92
ana,sales,114,69
dev,sales,81,52
kim,hr,90,54
ivy,eng,101,72
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 61 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1wrongterminal.fs.tree-v1conf 100% · 315ms · $0.000 · 67 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/logs`, `/proj/conf`): ``` /proj/conf/notes.cfg /proj/conf/util.txt /proj/draft.log /proj/index.cfg /proj/src/setup.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv conf/notes.cfg conf/todo-1.cfg mkdir -p logs/conf-4 cd logs cd ../../proj mv conf/util.txt conf/util-5.txt cd logs mv ../../proj/conf/util-5.txt ../../proj/src/ touch ../../proj/util-3.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/index.cfg
/proj/conf/todo-1.cfg
/proj/draft.log
/proj/logs/conf-4
/proj/src/setup.log
/proj/src/util-5.txt
/proj/util-3.logwrongterminal.exit.chain-v1conf 100% · 941ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
exit:0correctterminal.pipeline.predict-v1conf 100% · 525ms · $0.000 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,hr,12,97
pam,legal,20,37
hal,eng,75,76
fay,eng,6,10
cy,legal,64,88
dev,legal,3,37
ned,eng,15,70
max,sales,8,52
ivy,sales,40,82
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 61 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1correctterminal.exit.chain-v1conf 100% · 404ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B test -f app.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 324ms · $0.000 · 60 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/logs`, `/proj/build`): ``` /proj/main.md /proj/src/notes.log /proj/src/report.log /proj/src/setup.md /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p build/src-9 cd build rm ../../proj/src/notes.log cd ../../proj/src touch ../../proj/logs/util-4.log cd . mv ../../proj/main.md ../../proj/ cp ../../proj/todo.log ./ cd ../../proj/logs touch ../../proj/build/src-9/notes-8.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/build/src-9/notes-8.md
/proj/logs/util-4.log
/proj/main.md
/proj/src/report.log
/proj/src/todo.log
/proj/todo.logwrongterminal.pipeline.predict-v1conf 100% · 318ms · $0.000 · 34 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,eng,115,43 cy,ops,82,63 bo,eng,61,82 ned,hr,66,31 eli,sales,108,48 max,hr,82,29 ana,eng,82,60 gus,legal,4,41 jon,sales,45,17 kim,ops,91,15 oli,ops,52,68 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
max,hr,82,29
ned,hr,66,31wrongterminal.fs.tree-v1conf 100% · 353ms · $0.000 · 53 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/docs/main.txt /proj/docs/todo.txt /proj/draft.txt /proj/logs/util.cfg /proj/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm setup.md cd assets mv ../../proj/draft.txt ../../proj/docs/ mkdir -p ../../proj/docs/build-5 cd ../../proj/docs/build-5 rm ../../../proj/logs/util.cfg mv ../../../proj/docs/todo.txt ../../../proj/ cd ../../../proj/docs mv main.txt ./ mv ../../proj/todo.txt ../../proj/notes-9.cfg mkdir -p ../../proj/logs-6 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets
/proj/docs/build-5
/proj/docs/main.txt
/proj/docs/todo.txt
/proj/logs-6
/proj/notes-9.cfgcorrectterminal.exit.chain-v1conf 100% · 272ms · $0.000 · 26 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 true && echo A || echo B false && echo C || echo D test -f ghost.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
D
F
Z
exit:0wrongterminal.pipeline.predict-v1conf 100% · 273ms · $0.000 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
bo,legal,64,64
eli,legal,116,19
ned,legal,27,95
dev,ops,5,61
gus,eng,98,69
hal,legal,13,49
lou,legal,116,55
kim,sales,114,99
cy,hr,46,53
pam,legal,28,79
ivy,legal,66,28
fay,legal,96,26
oli,hr,73,66
ana,sales,116,75
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 60 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
4wrongterminal.fs.tree-v1conf 100% · 321ms · $0.000 · 50 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/assets`): ``` /proj/index.cfg /proj/src/draft.txt /proj/src/setup.txt /proj/src/todo.md /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p src/src-1 rm src/todo.md cd src/src-1 rm ../../../proj/src/setup.txt cp ../../../proj/src/draft.txt ../../../proj/ cd ../../../proj mv draft.txt draft-6.md touch src/report-3.txt cd src mkdir -p src-1/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/index.cfg
/proj/report-3.txt
/proj/src/draft-6.md
/proj/src/report-3.txt
/proj/util.logwrongterminal.exit.chain-v1conf 100% · 294ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B false && 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:
B
D
F
exit:0wrongterminal.pipeline.predict-v1conf 100% · 328ms · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,sales,39,63
bo,legal,119,71
hal,hr,116,78
ivy,eng,110,95
kim,ops,103,94
dev,hr,70,38
jon,ops,76,64
max,sales,113,94
cy,legal,90,68
pam,hr,66,29
fay,sales,88,58
ana,legal,102,76
eli,legal,38,83
ned,eng,108,96
```
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:
330wrongterminal.exit.chain-v1conf 100% · 322ms · $0.000 · 26 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 test -f tmp.txt && echo C || echo D true && echo E || echo F false && 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:0wrongterminal.fs.tree-v1conf 100% · 311ms · $0.000 · 58 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/docs`): ``` /proj/conf/draft.cfg /proj/conf/report.md /proj/docs/setup.log /proj/index.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 cp index.md conf/ mv index.md main-3.cfg cd logs rm ../../proj/util.md rm ../../proj/conf/draft.cfg touch util-3.md touch ../../proj/conf/index-7.txt cd ../../proj/conf ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/index-7.txt
/proj/conf/report.md
/proj/conf/util-3.md
/proj/docs/setup.log
/proj/main-3.cfg
/proj/util.mdwrongterminal.pipeline.predict-v1anchorconf 100% · 358ms · $0.000 · 44 tok
model answer:
eli,eng,60,55
max,eng,43,64
oli,eng,40,31wrongterminal.fs.tree-v1anchorconf 100% · 385ms · $0.000 · 81 tok
model answer:
/proj/build-4/todo-4.md
/proj/build/logs-1
/proj/build/logs-8
/proj/build/setup-8.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgwrongterminal.exit.chain-v1anchorconf 100% · 487ms · $0.000 · 26 tok
model answer:
B
D
E
G
exit:0wrongterminal.pipeline.predict-v1anchorconf 100% · 303ms · $0.000 · 16 tok
model answer:
2vision ocr 26/30 correct
correctvision.ocr.table-read-v1conf 100% · 477ms · $0.000 · 18 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:
81correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 21 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:
9CD9EMEMcorrectvision.ocr.table-read-v1conf 100% · 497ms · $0.000 · 18 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:
77correctvision.ocr.code-hunt-v1conf 100% · 641ms · $0.000 · 21 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VCVN9KUcorrectvision.ocr.table-read-v1conf 100% · 669ms · $0.000 · 18 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:
56wrongvision.ocr.code-hunt-v1conf 100% · 896ms · $0.000 · 22 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:
UW4V94Qcorrectvision.ocr.table-read-v1conf 100% · 660ms · $0.000 · 19 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:
120correctvision.ocr.code-hunt-v1conf 100% · 607ms · $0.000 · 21 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:
YYKER9XXcorrectvision.ocr.table-read-v1conf 100% · 759ms · $0.000 · 18 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:
41wrongvision.ocr.code-hunt-v1conf 100% · 786ms · $0.000 · 21 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:
ERCJTVVWcorrectvision.ocr.table-read-v1conf 100% · 505ms · $0.000 · 18 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:
97wrongvision.ocr.code-hunt-v1conf 100% · 697ms · $0.000 · 21 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:
YNIMW7Kcorrectvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 19 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:
RRCXWPcorrectvision.ocr.table-read-v1conf 100% · 641ms · $0.000 · 18 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:
36correctvision.ocr.table-read-v1conf 100% · 639ms · $0.000 · 18 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:
87correctvision.ocr.code-hunt-v1conf 100% · 871ms · $0.000 · 20 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:
UXMUXPcorrectvision.ocr.table-read-v1conf 100% · 670ms · $0.000 · 18 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:
74correctvision.ocr.code-hunt-v1conf 100% · 717ms · $0.000 · 20 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:
N3VJVRwrongvision.ocr.table-read-v1conf 100% · 615ms · $0.000 · 19 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:
226correctvision.ocr.code-hunt-v1conf 100% · 845ms · $0.000 · 19 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:
VCAHE9correctvision.ocr.table-read-v1conf 100% · 526ms · $0.000 · 19 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:
157correctvision.ocr.code-hunt-v1conf 100% · 633ms · $0.000 · 19 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:
RXKPWDcorrectvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 20 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3TNAUKcorrectvision.ocr.table-read-v1conf 100% · 791ms · $0.000 · 19 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:
115correctvision.ocr.table-read-v1conf 100% · 498ms · $0.000 · 18 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:
88correctvision.ocr.code-hunt-v1conf 100% · 547ms · $0.000 · 23 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:
39VJXEHDcorrectvision.ocr.table-read-v1anchorconf 100% · 584ms · $0.000 · 18 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 1.0s · $0.000 · 22 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 1.7s · $0.000 · 18 tok
model answer:
25correctvision.ocr.code-hunt-v1anchorconf 100% · 1.2s · $0.000 · 22 tok
model answer:
YH9E4AWPRun history
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