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OpenAI: GPT-5.4 Nano
openai/gpt-5.4-nano · openai · context 400 000 · in $0.200/1M · out $1.25/1M
Global Index
402
95% CI [376–428] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 467 [385–550] | 0.268 | 0.63 | 0.63 | 0.000 | 404ms | $0.460 | |
| code | 260 [233–287] | 0.045 | 0.52 | 0.06 | 0.000 | 452ms | $0.055 | |
| instruction following | 282 [213–351] | 0.210 | 0.68 | 0.53 | 0.365 | 440ms | $0.058 | |
| knowledge | 724 [553–896] | 0.542 | 1.00 | 0.99 | 0.000 | 434ms | $0.034 | |
| math | 422 [359–485] | 0.183 | 0.69 | 0.59 | 0.000 | 466ms | $0.137 | |
| multilingual | 378 [333–424] | 0.119 | 0.76 | 0.43 | 0.000 | 489ms | $0.039 | |
| reasoning | 365 [325–405] | 0.092 | 0.78 | 0.43 | 0.000 | 470ms | $0.044 | |
| terminal | 396 [332–461] | 0.169 | 0.64 | 0.49 | 0.000 | 464ms | $0.168 | |
| vision ocr | 323 [299–348] | 0.047 | 0.65 | 0.47 | 0.000 | 613ms | $0.184 |
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 11/30 correct
wrongagentic.tools.ledger-v1conf 96% · 455ms · $0.000 · 164 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $898
- tango: $676
- bravo: $652
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $589 from "alpha" to "bravo"
2. pay $80 from "tango" to "bravo"
3. pay $399 from "alpha" to "tango"
4. pay $145 from "tango" to "alpha"
5. pay $419 from "alpha" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"alpha","to":"bravo","amount":589}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":80}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":76}},
{"tool":"transfer","args":{"from":"alpha","to":"tango","amount":399}},
{"tool":"top_up_from_reserve","args":{"account":"tango","amount":145}},
{"tool":"transfer","args":{"from":"tango","to":"alpha","amount":145}},
{"tool":"transfer","args":{"from":"alpha","to":"tango","amount":419}}
]wrongagentic.tools.context-load-v1conf 38% · 1.3s · $0.001 · 231 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 (251 records, format: id|customer|region|item|qty|status):
```
1923|ionic|east|pump|28|shipped
1296|ember|north|cable|61|pending
1970|acme|east|sensor|98|paid
1331|harbor|west|panel|28|paid
2118|acme|south|pump|24|held
1277|ember|south|pump|71|pending
1831|harbor|west|pump|56|paid
2090|birch|east|valve|29|held
2003|birch|west|rotor|73|pending
1672|cobalt|west|frame|74|pending
1467|dorian|north|valve|18|shipped
1682|acme|west|panel|55|held
2104|acme|west|panel|24|held
1594|ember|west|valve|49|paid
2049|harbor|north|frame|73|held
1381|fulton|east|cable|54|pending
1807|harbor|west|panel|60|paid
1635|ember|west|frame|52|shipped
1474|gale|west|cable|12|held
1448|harbor|south|sensor|71|pending
1729|cobalt|west|sensor|74|pending
1612|ember|south|gasket|66|shipped
1811|birch|east|pump|56|paid
1413|acme|south|sensor|96|paid
1883|acme|east|rotor|82|held
1453|ember|east|cable|92|pending
2171|ember|east|cable|26|held
2126|gale|south|frame|91|paid
1324|birch|south|frame|94|paid
2185|birch|north|frame|26|paid
1348|ionic|north|panel|12|paid
1394|ember|south|rotor|24|held
2061|ember|north|rotor|42|paid
1561|ember|south|gasket|74|pending
1541|gale|south|gasket|79|paid
1622|juno|west|pump|79|paid
2025|harbor|east|pump|91|paid
1947|juno|east|panel|40|held
1422|gale|south|rotor|47|pending
1952|ionic|south|gasket|87|paid
1902|juno|south|pump|62|pending
1252|ember|east|pump|31|shipped
1822|birch|east|cable|77|paid
1665|harbor|south|valve|38|held
1960|ionic|east|cable|62|held
1570|gale|south|pump|64|held
1444|ionic|south|frame|20|held
2148|ionic|north|frame|34|shipped
1696|cobalt|north|sensor|48|pending
1826|ionic|east|rotor|62|shipped
1318|cobalt|south|valve|40|pending
2177|ember|east|sensor|77|paid
1299|ember|east|pump|44|paid
2095|ionic|north|valve|45|paid
1694|dorian|south|sensor|54|paid
1425|birch|south|sensor|92|paid
1779|cobalt|east|cable|80|paid
1844|ionic|south|panel|87|pending
1801|birch|west|pump|35|held
1787|ember|east|cable|61|held
1486|gale|north|rotor|23|held
1405|gale|west|cable|95|shipped
1526|birch|west|rotor|43|paid
1499|fulton|north|cable|62|pending
2085|juno|north|valve|73|held
1377|ionic|west|cable|11|paid
1410|juno|south|gasket|40|paid
1677|ember|south|valve|93|paid
1890|ember|west|pump|19|pending
1790|ionic|east|cable|66|pending
1540|cobalt|east|cable|75|held
2082|ember|south|valve|96|held
1746|birch|north|gasket|16|shipped
1997|acme|south|panel|12|shipped
1899|fulton|north|cable|91|pending
1515|birch|north|sensor|89|held
2065|juno|east|frame|84|shipped
1941|acme|west|valve|13|paid
1985|fulton|south|gasket|26|shipped
1450|fulton|east|valve|57|held
1457|ionic|east|pump|23|paid
1637|gale|north|gasket|54|held
2111|dorian|west|cable|82|pending
2028|juno|north|gasket|25|held
1757|birch|west|pump|34|pending
1620|cobalt|north|pump|82|held
1508|fulton|south|pump|43|shipped
2131|gale|south|gasket|48|held
2120|harbor|west|cable|36|paid
1573|ember|east|gasket|98|shipped
1789|cobalt|west|frame|92|held
1740|fulton|north|pump|56|paid
2158|fulton|south|gasket|99|pending
2152|birch|east|cable|38|pending
2146|fulton|west|frame|81|held
2076|ionic|west|rotor|92|pending
1432|acme|west|frame|61|pending
2009|birch|west|panel|11|shipped
1563|acme|north|gasket|11|pending
1579|harbor|west|panel|55|pending
1287|ember|east|pump|58|held
1946|acme|south|frame|49|held
2074|fulton|east|rotor|56|shipped
2227|birch|north|valve|19|shipped
1917|acme|south|pump|42|shipped
1699|dorian|west|panel|89|shipped
1719|fulton|north|valve|80|pending
1710|acme|west|valve|40|held
1268|ember|east|valve|85|shipped
2221|ionic|east|panel|85|shipped
1401|dorian|east|sensor|99|paid
1506|juno|west|panel|94|held
1492|ionic|west|valve|49|paid
1420|dorian|north|frame|43|shipped
1964|gale|east|sensor|64|shipped
1858|acme|west|gasket|21|paid
2217|dorian|south|pump|94|held
1521|gale|south|pump|55|paid
2099|juno|north|rotor|74|pending
1912|birch|west|valve|14|pending
1872|acme|west|frame|37|shipped
1800|gale|north|gasket|98|shipped
1400|juno|north|frame|91|pending
1893|birch|west|pump|65|pending
2109|gale|south|rotor|58|held
1976|fulton|east|frame|24|paid
1544|gale|south|cable|18|pending
1707|acme|east|cable|46|shipped
1498|harbor|south|valve|24|shipped
2165|fulton|west|cable|52|held
1678|ionic|west|sensor|91|held
2205|birch|west|frame|36|held
1853|dorian|south|panel|44|pending
1500|cobalt|north|frame|58|held
1929|ionic|south|pump|44|pending
1387|dorian|north|rotor|51|pending
1709|cobalt|south|rotor|45|pending
2020|birch|south|gasket|55|paid
1657|ember|north|gasket|31|held
1934|harbor|north|panel|11|pending
1745|juno|east|pump|90|pending
1263|ember|north|panel|33|pending
2042|ionic|west|cable|80|shipped
1953|dorian|south|frame|92|shipped
2043|gale|north|gasket|63|paid
1836|birch|south|panel|82|held
2218|dorian|south|rotor|83|held
1477|birch|south|frame|63|shipped
1795|juno|north|rotor|69|shipped
2032|ember|west|sensor|95|pending
1949|fulton|north|valve|68|shipped
1531|acme|east|panel|60|paid
1357|cobalt|south|gasket|93|pending
1278|ember|east|cable|43|paid
1738|cobalt|east|gasket|17|held
2055|dorian|west|cable|53|pending
1887|fulton|south|gasket|39|shipped
1688|fulton|east|pump|28|pending
1865|dorian|north|rotor|45|shipped
1248|ember|east|frame|98|pending
1258|ember|east|cable|69|pending
1592|gale|east|sensor|12|pending
1356|ember|west|rotor|12|pending
2038|juno|north|panel|65|held
1897|cobalt|north|gasket|23|pending
1999|gale|south|pump|56|shipped
1906|ember|east|rotor|84|paid
1575|cobalt|west|rotor|57|paid
1647|ionic|south|gasket|22|shipped
2139|ionic|west|frame|57|shipped
2136|dorian|east|cable|57|pending
2182|dorian|south|gasket|18|shipped
2212|ember|north|cable|42|shipped
1713|juno|west|frame|88|pending
1354|gale|south|pump|47|paid
1370|juno|south|valve|39|paid
1312|juno|west|gasket|53|held
1956|ember|west|valve|98|shipped
1600|cobalt|west|frame|42|shipped
1877|ionic|east|valve|33|paid
1843|fulton|south|valve|77|paid
1643|birch|south|panel|90|pending
1726|ember|south|panel|69|shipped
2101|cobalt|east|sensor|96|shipped
2188|cobalt|north|rotor|97|shipped
2194|acme|east|cable|47|held
1459|gale|east|gasket|41|paid
1771|fulton|north|frame|13|shipped
1613|ember|south|panel|10|held
1992|ember|west|rotor|27|shipped
1572|harbor|north|gasket|72|held
1753|ember|north|rotor|41|paid
1274|ember|east|cable|90|pending
1391|gale|east|cable|29|shipped
1460|ember|south|cable|30|shipped
1996|cobalt|south|rotor|60|paid
1792|dorian|west|frame|99|paid
1352|cobalt|north|valve|37|pending
1335|fulton|north|rotor|75|paid
1564|cobalt|east|frame|95|held
1533|ember|south|rotor|85|shipped
1418|harbor|east|frame|26|pending
1284|ember|south|panel|97|pending
1918|acme|west|valve|22|pending
1767|gale|east|frame|93|shipped
1511|ember|north|sensor|62|held
1341|fulton|east|valve|84|pending
1605|acme|south|panel|33|paid
2105|harbor|south|valve|36|shipped
2067|cobalt|south|gasket|83|held
1584|harbor|east|panel|43|paid
2026|fulton|east|rotor|91|paid
2223|gale|north|panel|84|shipped
1818|harbor|east|pump|95|pending
1364|birch|west|cable|95|paid
1972|cobalt|north|pump|40|paid
1712|fulton|north|cable|19|paid
1350|acme|east|valve|66|held
1294|ember|east|gasket|48|pending
1301|acme|north|cable|36|held
1786|ionic|north|panel|42|pending
1863|acme|south|rotor|13|held
1777|juno|east|valve|12|paid
1325|gale|south|frame|99|shipped
1842|harbor|west|panel|33|paid
1549|harbor|west|gasket|14|paid
1701|fulton|south|panel|97|held
1483|cobalt|south|panel|87|held
2013|juno|south|frame|35|held
1390|ionic|north|panel|22|held
1555|dorian|north|rotor|90|held
1586|acme|south|frame|71|shipped
1251|ember|west|valve|56|pending
1630|juno|north|pump|55|shipped
1980|juno|north|pump|22|pending
1662|fulton|north|frame|36|held
1305|ionic|north|sensor|89|shipped
1670|birch|west|pump|47|paid
2192|harbor|north|pump|79|held
1938|birch|east|sensor|14|paid
1623|ember|south|cable|59|shipped
1282|ember|east|cable|37|pending
1850|juno|east|frame|28|paid
2198|dorian|east|gasket|28|paid
1436|juno|west|frame|86|held
1965|harbor|east|sensor|52|paid
1650|cobalt|south|frame|54|pending
1731|fulton|east|panel|11|pending
1967|dorian|west|valve|77|paid
1761|ember|north|valve|10|shipped
1441|birch|east|gasket|25|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1296}},
{"tool":"restock","args":{"item":"pump","qty":71}},
{"tool":"restock","args":{"item":"cable","qty":92}},
{"tool":"cancel_order","args":{"order_id":1561}},
{"tool":"cancel_order","args":{"order_id":1453}},
{"tool":"restock","args":{"item":"pump","qty":58}},
{"tool":"restock","args":{"item":"cable","qty":90}},
{"tool":"restock","args":{"item":"cable","qty":69}},
{"tool":"cancel_order","args":{"order_id":1248}},
{"tool":"cancel_order","args":{"order_id":1258}},
{"tool":"restock","args":{"item":"cable","qty":90}},
{"tool":"restock","args":{"item":"valve","qty":85}},
{"tool":"cancel_order","args":{"order_id":1294}}
]correctagentic.tools.triage-v1conf 98% · 1.8s · $0.000 · 203 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → dubois
- infra → haddad
- payments → chen
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "webhooks not delivered" (category: infra, priority 6)
3. "webhooks not delivered" (category: infra, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{ "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 7 } },
{ "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "dubois" } },
{ "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 6 } },
{ "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "haddad" } },
{ "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 6 } },
{ "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }
]correctagentic.tools.triage-v1conf 100% · 600ms · $0.000 · 272 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → okafor
- auth → haddad
- payments → novak
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 4)
2. "cannot reset password" (category: auth, priority 9)
3. "cannot reset password" (category: auth, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]wrongagentic.tools.deploy-v1conf 5% · 332ms · $0.000 · 122 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: search
- search: (none)
- auth-svc: billing
- notifier: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{ "tool": "deploy", "args": { "service": "billing" } },
{ "tool": "deploy", "args": { "service": "search" } },
{ "tool": "deploy", "args": { "service": "auth-svc" } },
{ "tool": "deploy", "args": { "service": "notifier" } },
{ "tool": "health_check", "args": { "service": "notifier" } }
]wrongagentic.tools.ledger-v1conf 86% · 388ms · $0.000 · 214 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: $836
- tango: $483
- lima: $506
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $533 from "tango" to "lima"
2. pay $112 from "lima" to "oscar"
3. pay $542 from "lima" to "oscar"
4. pay $102 from "oscar" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.deploy-v1conf 98% · 726ms · $0.000 · 83 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: auth-svc, notifier
- auth-svc: notifier
- notifier: (none)
- gateway: notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"notifier"}},
{"tool":"health_check","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"search"}}
]wrongagentic.tools.context-load-v1conf 74% · 365ms · $0.001 · 174 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 (193 records, format: id|customer|region|item|qty|status):
```
1457|birch|south|gasket|80|pending
1624|birch|south|sensor|21|pending
1972|cobalt|east|rotor|16|pending
1774|cobalt|north|valve|38|shipped
2063|dorian|east|cable|59|pending
1700|gale|east|rotor|86|held
1434|harbor|east|cable|83|shipped
1771|cobalt|south|gasket|79|pending
1670|cobalt|west|cable|95|held
1752|ember|north|cable|67|pending
1915|harbor|east|valve|95|held
2085|acme|east|frame|38|shipped
1937|cobalt|north|rotor|94|held
1542|ionic|north|panel|89|held
2012|cobalt|west|rotor|45|pending
1455|juno|east|sensor|58|shipped
1446|acme|east|panel|80|paid
1441|fulton|east|pump|74|shipped
1482|cobalt|north|rotor|71|paid
1614|acme|east|pump|56|held
1808|fulton|east|cable|18|paid
2068|harbor|north|panel|92|paid
1992|gale|south|cable|35|held
1840|ember|west|frame|65|shipped
1469|ember|east|sensor|48|paid
1387|juno|east|pump|99|held
1955|gale|north|valve|37|held
1949|dorian|west|cable|29|held
1361|juno|north|gasket|43|pending
1922|gale|south|rotor|43|shipped
1419|cobalt|west|pump|16|shipped
1656|ionic|north|pump|93|held
1417|ember|north|cable|75|shipped
1690|ember|east|sensor|49|held
1786|fulton|west|gasket|91|held
1536|ember|north|rotor|63|paid
2001|acme|north|panel|46|paid
2079|ionic|north|pump|63|held
1976|ember|west|gasket|51|held
1381|juno|east|pump|69|pending
1623|cobalt|north|pump|52|paid
1550|cobalt|north|valve|89|pending
1710|ember|north|pump|10|held
1894|acme|west|frame|71|shipped
1476|ionic|south|frame|38|held
1567|ember|south|gasket|96|pending
1378|juno|east|panel|70|paid
1400|dorian|south|frame|59|held
2021|ionic|north|cable|53|shipped
1865|dorian|north|panel|90|pending
1815|harbor|west|rotor|46|pending
1942|cobalt|north|frame|69|paid
1800|acme|east|panel|93|pending
1741|gale|west|sensor|13|shipped
1893|harbor|west|pump|26|paid
2007|fulton|west|gasket|91|pending
1402|ember|east|frame|40|paid
1855|gale|east|rotor|21|pending
1385|juno|south|sensor|55|pending
1516|juno|west|cable|34|shipped
1828|gale|south|panel|64|paid
1807|dorian|north|panel|42|pending
2022|cobalt|east|panel|77|held
1498|ionic|east|gasket|84|pending
1489|fulton|east|valve|87|shipped
1821|juno|east|sensor|57|held
2057|fulton|east|pump|76|paid
2027|gale|west|cable|90|paid
1967|juno|north|cable|33|held
1712|gale|west|valve|88|held
1745|acme|east|panel|45|paid
1562|ember|south|valve|13|held
2032|acme|south|valve|97|paid
1735|ionic|east|valve|95|paid
1727|ember|north|sensor|41|paid
2075|birch|east|cable|49|paid
1585|cobalt|west|valve|87|shipped
1983|harbor|west|rotor|92|held
1830|birch|north|panel|32|shipped
1350|juno|east|gasket|45|held
1675|birch|west|panel|34|shipped
1850|dorian|south|gasket|27|paid
1410|fulton|east|sensor|49|shipped
1874|birch|north|pump|45|held
1445|ionic|south|sensor|93|held
1452|birch|east|frame|81|held
1546|juno|north|panel|36|pending
1871|ember|north|frame|80|paid
1891|ember|south|cable|67|shipped
2009|birch|west|rotor|72|pending
2066|dorian|south|cable|65|pending
1731|dorian|west|panel|25|paid
1810|fulton|north|sensor|33|pending
2051|cobalt|north|rotor|13|paid
1778|fulton|south|cable|19|held
1773|dorian|north|pump|27|pending
1572|dorian|east|panel|37|held
1682|acme|north|valve|98|pending
1507|fulton|west|rotor|32|held
1601|gale|west|gasket|72|held
1846|acme|north|pump|42|paid
1579|harbor|north|rotor|21|paid
1705|acme|south|pump|45|pending
2054|ionic|north|frame|69|shipped
1407|dorian|west|valve|88|held
1981|ionic|south|valve|19|pending
2041|acme|east|gasket|16|paid
2030|juno|north|pump|34|paid
2070|fulton|south|valve|41|held
1903|ionic|east|sensor|53|pending
1885|fulton|west|rotor|31|shipped
1596|juno|south|panel|69|shipped
1930|dorian|east|rotor|40|shipped
1586|ember|west|rotor|19|shipped
1502|birch|west|gasket|97|shipped
1433|ember|south|rotor|13|pending
1722|acme|east|cable|78|shipped
1393|dorian|east|valve|96|held
1951|ember|south|gasket|37|held
1638|fulton|east|frame|26|pending
1696|fulton|south|frame|55|paid
1608|fulton|north|frame|19|held
1719|gale|west|sensor|15|shipped
1347|juno|east|rotor|30|pending
2047|ember|east|cable|45|pending
1839|acme|south|pump|48|shipped
1631|dorian|west|sensor|62|pending
1908|ember|south|panel|75|held
1896|dorian|south|cable|87|paid
1789|juno|south|sensor|88|shipped
1437|acme|north|frame|78|held
1533|gale|east|frame|20|pending
1657|cobalt|east|gasket|63|held
1909|dorian|north|pump|24|shipped
1794|ionic|north|cable|54|held
1557|ionic|south|frame|95|shipped
1389|juno|north|rotor|66|paid
1466|harbor|north|pump|26|shipped
1759|cobalt|south|panel|20|shipped
1405|fulton|west|gasket|64|held
1578|gale|east|gasket|60|shipped
1959|harbor|south|cable|51|pending
1781|ionic|east|panel|18|shipped
1356|juno|east|frame|71|pending
1911|acme|east|sensor|21|shipped
2038|dorian|south|rotor|59|paid
1792|cobalt|south|panel|14|pending
1986|acme|east|rotor|78|paid
1997|dorian|south|frame|11|held
1641|birch|west|gasket|70|paid
1620|ionic|south|cable|81|held
1560|fulton|east|gasket|83|held
1878|juno|west|pump|75|shipped
1377|juno|north|sensor|98|pending
1612|juno|west|rotor|59|shipped
2064|acme|south|panel|56|held
1514|juno|east|panel|75|pending
2053|birch|north|sensor|41|pending
1921|gale|south|rotor|43|pending
1960|acme|south|cable|79|pending
1836|gale|north|valve|93|paid
1883|ember|east|rotor|28|held
1674|dorian|north|sensor|71|shipped
1491|cobalt|north|pump|31|pending
1368|juno|east|frame|20|paid
1471|harbor|east|gasket|37|paid
1743|harbor|east|rotor|99|held
1461|cobalt|west|gasket|90|shipped
1685|ionic|north|panel|13|pending
1715|birch|north|panel|58|shipped
1767|acme|east|cable|55|pending
1974|cobalt|south|panel|53|held
1761|ionic|east|sensor|58|held
1521|dorian|west|rotor|81|pending
1348|juno|north|rotor|71|pending
2017|gale|north|panel|21|held
1654|fulton|west|sensor|39|shipped
1481|juno|east|gasket|46|paid
1647|gale|north|pump|70|shipped
1926|ember|north|rotor|90|held
1861|dorian|north|cable|55|shipped
2058|acme|east|sensor|56|held
1912|dorian|west|valve|48|held
1864|juno|east|pump|20|paid
1442|ionic|west|cable|61|held
1526|harbor|north|pump|17|held
1764|birch|west|gasket|59|pending
1375|juno|east|gasket|57|pending
1622|cobalt|east|sensor|11|shipped
1664|acme|south|valve|18|pending
1605|birch|north|gasket|39|paid
1426|dorian|west|panel|13|pending
1589|birch|south|pump|88|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1368}},
{"tool":"cancel_order","args":{"order_id":1381}},
{"tool":"cancel_order","args":{"order_id":1347}},
{"tool":"restock","args":{"item":"gasket","qty":71}},
{"tool":"cancel_order","args":{"order_id":1514}},
{"tool":"restock","args":{"item":"pump","qty":69}},
{"tool":"restock","args":{"item":"sensor","qty":55}},
{"tool":"cancel_order","args":{"order_id":1356}},
{"tool":"cancel_order","args":{"order_id":1542}},
{"tool":"cancel_order","args":{"order_id":1375}}
]correctagentic.tools.triage-v1conf 100% · 563ms · $0.001 · 382 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → novak
- auth → silva
- data → haddad
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 3)
2. "locked out after 2FA change" (category: auth, priority 7)
3. "records missing after import" (category: data, priority 8)
4. "locked out after 2FA change" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 7
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-3"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 7
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-2"
}
}
]wrongagentic.tools.ledger-v1conf 88% · 363ms · $0.000 · 146 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $375
- alpha: $211
- bravo: $222
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $541 from "alpha" to "tango"
2. pay $387 from "tango" to "bravo"
3. pay $363 from "tango" to "bravo"
4. pay $540 from "bravo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"alpha","to":"tango","amount":541}},
{"tool":"top_up_from_reserve","args":{"account":"tango","amount":166}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":387}},
{"tool":"top_up_from_reserve","args":{"account":"tango","amount":415}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":363}},
{"tool":"transfer","args":{"from":"bravo","to":"tango","amount":540}}
]wrongagentic.tools.context-load-v1conf 88% · 404ms · $0.001 · 169 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 (167 records, format: id|customer|region|item|qty|status):
```
1778|harbor|south|panel|61|pending
2058|juno|north|panel|84|held
1982|juno|north|gasket|60|held
2026|ionic|west|valve|45|shipped
1847|ember|east|cable|43|pending
2013|juno|south|sensor|88|paid
1812|birch|south|sensor|62|pending
1617|acme|west|sensor|27|paid
1790|acme|east|panel|34|paid
1445|harbor|west|frame|67|pending
1520|juno|east|panel|60|paid
1849|harbor|west|frame|94|held
1609|ionic|west|panel|60|paid
1705|cobalt|west|cable|80|paid
1782|ember|west|panel|39|shipped
1838|juno|north|valve|39|paid
1425|dorian|south|sensor|17|pending
2032|cobalt|west|pump|67|paid
1665|acme|south|rotor|36|pending
1531|ionic|north|pump|78|shipped
2059|ember|west|rotor|56|pending
1527|juno|east|gasket|39|held
1639|acme|west|rotor|75|shipped
1871|dorian|south|rotor|44|pending
1957|fulton|south|pump|58|paid
1591|juno|west|pump|18|pending
1763|birch|south|cable|65|held
1561|juno|north|valve|38|shipped
1477|juno|south|sensor|29|held
1581|fulton|west|frame|24|shipped
1452|fulton|south|sensor|42|pending
2007|harbor|east|valve|73|held
1993|ember|west|pump|94|paid
1913|fulton|south|frame|35|shipped
1953|dorian|east|pump|98|pending
1695|cobalt|west|pump|64|shipped
1429|dorian|west|valve|30|paid
1880|fulton|east|cable|74|paid
2060|juno|north|cable|79|shipped
1998|acme|east|pump|45|held
1606|dorian|south|rotor|73|held
1959|dorian|east|panel|98|shipped
1798|ember|east|sensor|53|shipped
1823|gale|east|frame|25|paid
1568|birch|north|rotor|90|pending
2045|ionic|south|gasket|58|pending
2000|juno|west|frame|15|shipped
1932|ionic|north|rotor|90|shipped
1510|harbor|north|cable|16|shipped
1722|dorian|east|pump|91|held
1792|ionic|east|valve|98|paid
1418|dorian|west|rotor|36|pending
1472|fulton|east|gasket|87|held
1414|dorian|west|gasket|10|paid
1833|ember|north|panel|32|shipped
1886|harbor|east|frame|67|shipped
1614|dorian|north|valve|79|held
1837|harbor|south|cable|65|shipped
1482|acme|north|valve|59|paid
1498|birch|south|frame|58|paid
1848|dorian|south|cable|36|shipped
1802|ionic|east|frame|37|shipped
1628|cobalt|west|rotor|99|paid
1440|ember|south|gasket|29|held
1544|ember|north|sensor|20|paid
1909|juno|west|rotor|70|held
2039|ionic|east|valve|91|held
1634|gale|north|gasket|25|pending
1490|acme|north|pump|39|paid
1443|fulton|north|sensor|75|shipped
1881|ionic|north|frame|61|held
1718|ember|north|panel|14|pending
1784|ionic|south|pump|27|pending
1891|ember|south|gasket|40|held
1961|dorian|west|sensor|67|pending
1730|ionic|south|frame|82|held
1672|birch|north|cable|98|pending
2065|cobalt|south|frame|86|paid
1925|acme|north|sensor|25|paid
1840|acme|south|rotor|14|held
1766|gale|west|sensor|44|held
1967|harbor|south|panel|45|shipped
1875|acme|west|sensor|60|shipped
1601|ionic|north|panel|61|held
1651|dorian|south|gasket|72|shipped
1549|juno|west|rotor|75|shipped
1588|juno|east|gasket|35|paid
1765|juno|south|rotor|96|shipped
1827|juno|north|pump|41|held
1431|dorian|west|sensor|47|pending
1685|cobalt|west|cable|11|paid
1534|ember|west|frame|88|held
2011|dorian|west|gasket|57|held
1859|gale|east|valve|13|shipped
1753|gale|west|frame|13|paid
1902|cobalt|south|sensor|56|held
1488|fulton|south|sensor|58|shipped
1540|ionic|east|gasket|15|paid
1641|birch|west|rotor|79|shipped
1888|juno|east|pump|20|paid
1808|ember|south|gasket|48|pending
1658|juno|north|cable|69|shipped
1979|harbor|east|frame|38|shipped
1774|gale|north|valve|60|held
1771|ember|south|sensor|39|pending
1622|dorian|east|rotor|24|pending
1928|dorian|north|cable|52|held
2049|fulton|east|gasket|38|held
1683|ember|south|pump|94|shipped
1464|harbor|east|sensor|24|paid
1558|cobalt|south|cable|59|pending
2022|juno|south|pump|55|paid
1910|gale|south|pump|50|pending
2071|acme|west|cable|16|paid
1974|cobalt|north|frame|82|pending
1767|gale|south|gasket|68|paid
1505|acme|south|frame|70|paid
1711|harbor|south|pump|74|shipped
1546|dorian|south|cable|38|pending
1438|dorian|north|cable|68|shipped
1576|dorian|east|sensor|54|shipped
1644|juno|west|gasket|76|pending
1597|ember|south|valve|21|held
1513|juno|west|sensor|95|shipped
1436|acme|south|frame|39|paid
1679|juno|south|rotor|96|paid
1760|harbor|north|sensor|20|pending
1727|ionic|south|rotor|64|held
1856|harbor|east|panel|51|pending
1412|dorian|north|pump|15|pending
1691|harbor|east|panel|38|pending
1896|ember|east|cable|89|paid
1439|ember|east|rotor|44|paid
1948|ember|east|sensor|22|shipped
2017|harbor|south|cable|10|pending
1742|birch|south|valve|58|pending
1435|dorian|west|rotor|25|held
1459|gale|south|gasket|28|pending
1572|ionic|north|panel|25|held
1737|cobalt|north|cable|16|held
1432|dorian|south|gasket|14|pending
1702|ember|west|gasket|62|shipped
1919|dorian|west|frame|60|pending
1864|harbor|west|frame|93|shipped
1988|dorian|north|pump|42|held
1564|ember|north|frame|41|pending
1408|dorian|west|gasket|39|pending
1970|cobalt|north|frame|82|shipped
1800|juno|south|rotor|72|paid
2024|juno|west|pump|17|held
1762|juno|south|rotor|29|pending
1746|cobalt|north|valve|61|pending
1985|juno|north|cable|11|pending
1939|acme|north|frame|30|held
1493|gale|east|gasket|99|held
2043|ionic|east|frame|29|paid
1956|juno|east|valve|84|shipped
1471|birch|north|gasket|78|paid
1553|gale|east|valve|84|pending
1560|acme|north|pump|35|held
1460|acme|east|rotor|44|shipped
1633|ember|south|cable|27|pending
1817|ember|south|cable|36|pending
1943|ember|north|sensor|54|held
2051|dorian|west|valve|19|shipped
2054|dorian|north|frame|85|held
1444|ember|east|valve|20|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1414}},
{"tool":"restock","args":{"item":"sensor","qty":67}},
{"tool":"cancel_order","args":{"order_id":1431}},
{"tool":"cancel_order","args":{"order_id":1412}},
{"tool":"cancel_order","args":{"order_id":1408}},
{"tool":"cancel_order","args":{"order_id":1435}},
{"tool":"cancel_order","args":{"order_id":1546}},
{"tool":"cancel_order","args":{"order_id":1549}},
{"tool":"cancel_order","args":{"order_id":1622}},
{"tool":"cancel_order","args":{"order_id":1919}}
]wrongagentic.tools.deploy-v1conf 94% · 844ms · $0.000 · 71 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: (none)
- reports: search
- gateway: search
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}}
]correctagentic.tools.triage-v1conf 98% · 416ms · $0.000 · 272 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → chen
- payments → silva
- data → haddad
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "uploads failing intermittently" (category: infra, priority 9)
3. "records missing after import" (category: data, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "haddad"
}
}
]wrongagentic.tools.ledger-v1conf 92% · 381ms · $0.000 · 206 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: $188
- oscar: $358
- alpha: $838
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $460 from "alpha" to "bravo"
2. pay $95 from "bravo" to "alpha"
3. pay $107 from "alpha" to "bravo"
4. pay $426 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:
(none extracted)wrongagentic.tools.context-load-v1conf 22% · 419ms · $0.001 · 65 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 (255 records, format: id|customer|region|item|qty|status):
```
1651|cobalt|north|rotor|28|shipped
2178|ember|north|panel|32|pending
2346|harbor|south|sensor|39|pending
1551|ember|east|sensor|92|paid
1645|gale|south|rotor|18|shipped
2199|harbor|east|frame|69|pending
2311|cobalt|east|pump|10|shipped
2291|birch|west|panel|76|paid
1406|fulton|west|rotor|33|pending
2300|acme|east|rotor|43|pending
1999|cobalt|south|pump|27|pending
2074|gale|east|pump|63|paid
1905|birch|west|frame|52|shipped
1757|cobalt|east|pump|76|shipped
2137|gale|south|sensor|96|shipped
1845|ember|north|rotor|20|pending
1478|birch|south|gasket|99|held
1786|cobalt|east|valve|74|held
1967|ember|east|valve|59|paid
1543|gale|north|panel|38|held
1813|harbor|west|pump|91|shipped
1571|juno|south|rotor|88|paid
1565|ionic|south|valve|19|held
1782|juno|west|valve|43|pending
2298|gale|east|panel|50|shipped
2092|dorian|north|panel|72|held
2157|harbor|west|sensor|80|pending
2111|harbor|south|sensor|13|paid
1578|acme|east|valve|39|pending
1877|fulton|east|gasket|94|held
1805|birch|east|pump|22|paid
1376|fulton|south|gasket|83|pending
2242|ember|north|panel|50|pending
1491|acme|west|rotor|97|pending
1691|ionic|south|rotor|85|shipped
2128|harbor|south|valve|21|pending
1908|fulton|west|pump|22|pending
2080|dorian|east|frame|33|shipped
1591|gale|south|sensor|74|pending
1472|fulton|north|pump|48|shipped
1612|birch|east|panel|61|pending
2073|ember|east|gasket|94|paid
2194|gale|east|pump|26|paid
1901|cobalt|east|frame|31|paid
2239|ionic|north|pump|89|held
1930|ember|east|gasket|96|held
2118|juno|north|cable|18|held
2091|harbor|north|frame|75|held
1993|birch|east|pump|53|pending
2060|gale|south|frame|60|pending
1407|fulton|south|panel|84|shipped
2084|juno|west|frame|28|held
1383|fulton|south|frame|44|pending
2067|dorian|north|valve|29|pending
1925|cobalt|west|panel|28|held
1637|harbor|north|panel|22|shipped
1836|fulton|east|cable|87|held
2064|ionic|west|valve|88|held
1412|juno|west|valve|83|pending
1433|gale|south|valve|30|held
1831|ionic|north|gasket|18|shipped
2246|birch|east|sensor|82|paid
2105|cobalt|north|cable|61|pending
2216|fulton|north|rotor|87|held
1666|harbor|east|pump|82|pending
1995|ember|south|valve|21|shipped
1682|birch|east|pump|40|pending
1992|gale|north|frame|69|held
2052|dorian|north|pump|59|pending
2171|harbor|south|panel|60|shipped
1489|acme|east|pump|43|held
1888|fulton|south|frame|30|shipped
1714|dorian|north|cable|66|held
2251|ember|north|valve|45|held
2018|juno|north|valve|23|pending
1401|fulton|south|panel|74|pending
1443|ionic|west|panel|36|pending
1451|juno|north|frame|45|shipped
2373|birch|north|frame|16|shipped
2185|birch|west|valve|44|pending
1614|juno|south|valve|82|held
1791|birch|west|gasket|50|pending
1449|birch|south|cable|85|shipped
2097|harbor|south|rotor|37|paid
2141|harbor|west|panel|59|pending
2173|cobalt|east|rotor|16|shipped
1487|juno|south|cable|23|shipped
2057|birch|south|gasket|10|shipped
1525|harbor|south|frame|42|paid
2364|ionic|south|sensor|10|paid
2316|gale|north|sensor|94|pending
1459|acme|west|cable|84|paid
2333|fulton|south|rotor|69|shipped
1677|harbor|east|rotor|29|pending
1921|cobalt|north|sensor|38|pending
1720|fulton|north|valve|83|shipped
1937|dorian|west|valve|37|pending
1544|birch|south|valve|92|pending
1696|birch|west|rotor|58|pending
2275|dorian|north|cable|75|shipped
1950|harbor|west|sensor|74|shipped
1731|birch|west|sensor|27|shipped
1624|dorian|south|valve|97|paid
2256|fulton|south|pump|27|shipped
1745|gale|east|sensor|54|shipped
1498|acme|north|rotor|32|paid
2038|harbor|east|rotor|18|paid
2319|cobalt|west|gasket|42|held
1963|harbor|south|rotor|12|pending
1506|harbor|north|gasket|96|held
2292|birch|south|cable|37|pending
1511|fulton|west|pump|79|shipped
2121|juno|south|panel|62|paid
2309|harbor|west|valve|86|shipped
2209|juno|east|cable|89|paid
1416|dorian|east|rotor|80|paid
2200|harbor|west|pump|76|paid
1869|ionic|south|gasket|70|held
1520|harbor|east|frame|28|shipped
1955|birch|east|frame|65|paid
1898|fulton|south|sensor|80|pending
2394|fulton|north|valve|92|held
2302|cobalt|south|valve|17|shipped
1653|fulton|east|cable|41|paid
2234|juno|south|valve|68|held
2145|harbor|east|panel|66|held
1606|cobalt|north|rotor|89|held
1579|harbor|north|valve|61|paid
2400|harbor|south|cable|22|paid
1874|juno|north|sensor|34|paid
2228|harbor|south|cable|80|shipped
2393|harbor|south|panel|31|shipped
1751|acme|south|frame|32|paid
1740|cobalt|west|sensor|84|paid
1586|acme|north|gasket|69|pending
1763|juno|north|sensor|68|held
2055|dorian|west|cable|69|held
1453|dorian|east|valve|46|shipped
1389|fulton|north|panel|45|pending
1850|ionic|west|valve|90|paid
1561|gale|north|sensor|16|shipped
1707|ionic|north|gasket|99|held
1943|birch|west|cable|72|paid
1808|cobalt|north|pump|17|pending
1894|ionic|south|frame|56|paid
2378|ionic|north|cable|26|pending
1448|juno|north|valve|90|paid
2287|birch|south|rotor|35|paid
2334|dorian|south|gasket|29|shipped
1752|gale|east|sensor|18|paid
1422|ionic|north|valve|17|shipped
1685|cobalt|east|cable|44|held
2159|gale|east|valve|57|held
1444|ionic|west|gasket|61|shipped
1530|ionic|north|sensor|77|pending
2168|juno|south|sensor|32|shipped
1596|harbor|south|pump|34|pending
2015|ember|east|pump|34|paid
1481|juno|west|panel|40|paid
1825|acme|south|panel|17|paid
1649|acme|north|valve|12|held
1618|juno|east|frame|29|shipped
2306|gale|east|valve|12|paid
1982|ionic|south|valve|79|shipped
1630|acme|south|valve|39|held
1642|fulton|east|pump|75|paid
1702|fulton|south|panel|11|paid
1789|birch|south|rotor|22|shipped
2225|acme|west|gasket|15|shipped
2154|fulton|north|frame|67|paid
1466|ionic|west|sensor|48|paid
1712|acme|south|valve|29|held
1910|fulton|south|sensor|29|held
1434|dorian|west|rotor|37|held
1514|ionic|east|valve|87|held
1739|juno|west|rotor|96|pending
1670|juno|south|gasket|90|paid
1379|fulton|south|cable|83|held
1471|fulton|east|cable|62|paid
1964|cobalt|south|gasket|88|paid
1539|gale|north|pump|50|paid
2218|gale|north|pump|30|paid
2374|acme|west|valve|23|shipped
1819|dorian|north|cable|80|shipped
2314|harbor|north|panel|57|pending
1970|cobalt|south|cable|57|held
2004|ionic|north|gasket|83|paid
1734|ionic|north|panel|61|pending
2134|ionic|north|gasket|40|shipped
2366|birch|north|gasket|88|shipped
2353|acme|north|rotor|61|shipped
2224|gale|north|panel|21|paid
1427|birch|south|valve|29|held
1499|acme|east|sensor|94|shipped
1858|cobalt|east|sensor|48|shipped
1842|birch|north|gasket|67|pending
1659|harbor|east|frame|23|held
1646|harbor|south|pump|58|paid
1512|cobalt|south|valve|13|pending
2414|ionic|west|pump|80|shipped
1865|ember|north|panel|49|shipped
2376|birch|east|frame|72|shipped
2163|birch|west|sensor|58|pending
2149|fulton|south|valve|66|shipped
2340|cobalt|east|frame|37|shipped
1987|birch|west|pump|53|shipped
2119|acme|east|gasket|22|held
1395|fulton|south|valve|41|shipped
1424|dorian|north|valve|74|held
1883|dorian|south|panel|89|held
2045|juno|east|valve|25|held
2229|juno|west|pump|32|paid
1558|acme|east|pump|60|shipped
2382|harbor|south|cable|91|pending
1377|fulton|west|rotor|36|pending
2181|ionic|east|frame|25|shipped
2187|juno|west|valve|37|pending
2269|dorian|south|panel|82|pending
2203|birch|east|sensor|95|pending
2112|juno|east|pump|20|paid
2389|acme|west|frame|85|shipped
2099|juno|west|rotor|21|paid
2008|ember|west|panel|51|pending
1602|birch|south|cable|71|held
2026|ember|west|valve|89|shipped
1681|dorian|east|sensor|76|paid
1762|fulton|south|gasket|41|shipped
1775|juno|west|rotor|84|paid
1728|cobalt|east|valve|66|pending
1892|juno|west|pump|38|shipped
1969|cobalt|east|panel|69|paid
2010|cobalt|south|rotor|40|held
1915|cobalt|north|rotor|54|paid
2032|harbor|north|cable|62|pending
1890|birch|west|valve|64|held
1687|fulton|north|valve|17|paid
1759|harbor|north|cable|31|pending
1895|cobalt|west|pump|46|paid
2280|ionic|north|gasket|27|pending
2020|harbor|north|sensor|20|pending
1437|harbor|south|frame|25|shipped
1957|fulton|west|pump|24|shipped
1975|acme|north|frame|34|shipped
2326|dorian|east|frame|38|held
2360|ember|north|valve|27|paid
1798|ember|north|pump|86|pending
2116|birch|north|sensor|23|pending
1727|ionic|north|cable|52|paid
1769|birch|east|sensor|54|pending
1847|dorian|west|pump|50|shipped
1536|juno|north|panel|23|paid
2272|gale|south|cable|30|held
2262|harbor|north|pump|73|pending
2407|acme|east|frame|58|paid
1851|fulton|north|panel|42|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1376}},
{"tool":"restock","args":{"item":"gasket","qty":83}},
{"tool":"cancel_order","args":{"order_id":1895}}
]correctagentic.tools.deploy-v1conf 98% · 316ms · $0.000 · 121 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: gateway, notifier
- billing: gateway, notifier
- gateway: (none)
- notifier: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{ "tool": "deploy", "args": { "service": "gateway" } },
{ "tool": "deploy", "args": { "service": "notifier" } },
{ "tool": "deploy", "args": { "service": "auth-svc" } },
{ "tool": "deploy", "args": { "service": "billing" } },
{ "tool": "health_check", "args": { "service": "billing" } }
]wrongagentic.tools.ledger-v1conf 96% · 306ms · $0.000 · 212 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $891
- kilo: $566
- oscar: $281
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $141 from "oscar" to "tango"
2. pay $186 from "oscar" to "tango"
3. pay $209 from "oscar" to "tango"
4. pay $222 from "tango" to "kilo"
5. pay $257 from "kilo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{ "tool": "transfer", "args": { "from": "oscar", "to": "tango", "amount": 141 } },
{ "tool": "transfer", "args": { "from": "oscar", "to": "tango", "amount": 186 } },
{ "tool": "top_up_from_reserve", "args": { "account": "oscar", "amount": 72 } },
{ "tool": "transfer", "args": { "from": "oscar", "to": "tango", "amount": 209 } },
{ "tool": "transfer", "args": { "from": "tango", "to": "kilo", "amount": 222 } },
{ "tool": "transfer", "args": { "from": "kilo", "to": "tango", "amount": 257 } }
]correctagentic.tools.triage-v1conf 98% · 278ms · $0.001 · 347 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 → silva
- payments → novak
- data → chen
INCIDENTS:
1. "cannot reset password" (category: auth, priority 8)
2. "refund double-charged" (category: payments, priority 9)
3. "refund double-charged" (category: payments, priority 9)
4. "SSO loop on login" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 8
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "silva"
}
}
]wrongagentic.tools.context-load-v1conf 62% · 373ms · $0.001 · 337 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 (261 records, format: id|customer|region|item|qty|status):
```
1533|dorian|north|cable|41|paid
2164|acme|south|rotor|32|pending
1295|ionic|west|panel|84|shipped
1678|acme|north|gasket|18|shipped
1998|ember|east|sensor|33|pending
2003|birch|north|gasket|18|shipped
1993|cobalt|east|frame|91|shipped
1878|juno|west|pump|89|paid
1908|ionic|north|valve|79|shipped
1354|harbor|east|pump|75|pending
1557|acme|east|sensor|64|paid
1578|cobalt|east|gasket|15|shipped
2084|acme|north|rotor|30|pending
2165|fulton|east|rotor|74|shipped
2018|gale|south|rotor|58|held
1851|fulton|east|frame|85|held
1365|juno|west|rotor|46|pending
2174|gale|south|rotor|65|paid
2148|acme|east|frame|23|pending
1449|acme|north|panel|73|paid
1638|ember|north|rotor|70|paid
1252|gale|north|pump|28|held
1630|harbor|south|valve|66|held
2176|acme|east|panel|22|shipped
1306|fulton|east|valve|92|paid
1745|acme|north|sensor|40|held
2159|gale|east|pump|16|shipped
1966|cobalt|south|panel|30|held
1919|cobalt|west|frame|39|shipped
1182|ionic|north|cable|27|pending
1686|harbor|south|valve|11|shipped
1586|fulton|north|sensor|59|held
1833|birch|south|valve|27|pending
2182|dorian|north|rotor|54|held
1711|gale|south|cable|28|pending
2102|fulton|west|frame|27|paid
1724|dorian|north|cable|33|paid
1440|ionic|north|panel|45|paid
1395|birch|south|frame|53|paid
1391|harbor|north|frame|28|pending
1886|birch|south|gasket|34|paid
1712|cobalt|south|pump|31|shipped
1262|fulton|east|valve|85|pending
1540|harbor|west|frame|61|shipped
1371|cobalt|south|cable|28|paid
2005|ember|south|valve|77|pending
1815|harbor|north|sensor|24|held
1647|juno|north|frame|61|pending
1195|ionic|south|cable|96|pending
1975|ionic|north|cable|62|shipped
1401|juno|west|panel|82|shipped
1512|harbor|north|valve|44|paid
1527|gale|west|valve|51|paid
1418|cobalt|south|pump|71|pending
1619|acme|south|pump|47|held
2199|fulton|east|pump|67|shipped
1879|birch|north|rotor|37|held
1629|gale|north|pump|90|pending
1623|acme|north|frame|43|paid
2007|acme|east|gasket|32|paid
1484|acme|west|frame|83|shipped
1937|ember|west|pump|12|held
2145|acme|west|rotor|41|paid
1933|juno|west|gasket|47|shipped
1744|juno|west|sensor|49|pending
1612|juno|south|panel|89|pending
2108|birch|east|rotor|37|paid
1346|fulton|east|cable|23|shipped
1173|ionic|west|rotor|90|pending
1331|dorian|east|valve|17|pending
1834|harbor|west|panel|80|shipped
2081|juno|east|cable|86|paid
1455|dorian|north|pump|23|paid
1605|acme|north|pump|58|shipped
1495|ember|west|valve|16|shipped
1274|acme|south|gasket|28|paid
1247|birch|south|rotor|20|paid
1668|cobalt|north|gasket|88|shipped
1914|juno|west|panel|15|shipped
2072|dorian|west|frame|60|pending
1375|ember|west|sensor|50|held
1829|ionic|east|frame|19|held
1353|juno|north|gasket|10|held
2191|fulton|north|panel|71|paid
1466|gale|west|gasket|12|shipped
1676|ember|east|valve|96|pending
1325|birch|south|cable|82|shipped
2114|juno|east|sensor|70|held
1318|ember|north|gasket|59|held
1445|acme|north|cable|40|shipped
1472|acme|north|valve|83|shipped
1679|gale|west|valve|28|pending
2013|juno|north|pump|89|held
1613|acme|north|pump|99|pending
1786|fulton|west|pump|80|pending
1766|cobalt|north|sensor|78|pending
1867|harbor|west|gasket|54|shipped
1911|juno|east|valve|12|shipped
1929|birch|west|valve|16|pending
2188|fulton|north|pump|91|shipped
1283|acme|south|pump|12|shipped
1382|ionic|east|sensor|90|held
1255|cobalt|south|cable|51|shipped
1765|ember|north|pump|79|paid
1864|acme|south|frame|85|pending
1535|ember|east|frame|82|shipped
2054|juno|south|cable|29|pending
1572|harbor|east|pump|55|shipped
1206|ionic|north|panel|70|pending
2045|fulton|east|frame|13|shipped
1896|ionic|south|pump|30|held
2133|dorian|north|sensor|80|shipped
1500|cobalt|south|cable|75|paid
1718|dorian|south|valve|29|paid
1959|juno|north|rotor|70|pending
1728|dorian|west|frame|62|held
1780|juno|west|panel|44|pending
1521|harbor|north|panel|30|pending
1841|birch|north|cable|34|held
1490|ember|south|rotor|42|pending
1562|gale|east|valve|62|held
1480|harbor|north|valve|67|paid
1807|ember|west|gasket|33|held
1805|birch|west|cable|42|shipped
1536|dorian|south|cable|58|held
1248|fulton|north|gasket|13|shipped
1845|juno|west|cable|71|held
1227|birch|west|rotor|24|pending
2196|birch|north|panel|51|shipped
1774|acme|south|cable|79|paid
1814|harbor|east|sensor|26|paid
1691|juno|north|rotor|75|pending
1422|cobalt|east|frame|15|shipped
1985|dorian|south|frame|93|pending
1965|juno|south|panel|64|shipped
1943|gale|south|frame|77|held
2066|harbor|east|panel|67|shipped
1826|harbor|north|valve|61|shipped
2189|birch|west|frame|24|held
1951|ember|south|rotor|81|shipped
1737|fulton|east|frame|82|held
1901|juno|north|cable|13|paid
1969|birch|east|gasket|72|paid
1284|dorian|west|frame|76|paid
1343|harbor|north|rotor|85|paid
1388|dorian|east|rotor|51|pending
2075|ionic|east|gasket|11|held
1373|cobalt|south|sensor|74|held
1219|juno|south|sensor|54|paid
1871|dorian|north|sensor|54|pending
1434|acme|south|valve|97|paid
1665|acme|east|pump|25|held
2137|dorian|east|gasket|80|paid
1565|acme|north|frame|14|held
1517|fulton|north|panel|29|paid
1462|acme|north|cable|57|shipped
1633|ember|east|rotor|31|paid
1645|fulton|east|cable|34|pending
2029|cobalt|west|sensor|18|held
2036|ionic|east|rotor|55|pending
2059|cobalt|east|frame|56|shipped
1615|fulton|south|frame|49|shipped
1429|birch|west|frame|25|paid
1858|cobalt|north|cable|10|shipped
1958|harbor|south|pump|79|pending
1794|dorian|east|gasket|79|pending
1276|ember|south|valve|70|shipped
1334|harbor|north|pump|74|pending
1716|ember|east|cable|66|pending
1949|fulton|south|frame|19|paid
1474|cobalt|south|frame|40|pending
1228|harbor|east|pump|59|shipped
2051|harbor|north|valve|63|held
1740|harbor|north|panel|82|shipped
2092|ember|south|valve|43|pending
1675|ionic|west|panel|57|shipped
1194|ionic|north|rotor|91|pending
1922|juno|west|pump|77|held
2024|dorian|north|gasket|16|paid
1980|ember|north|rotor|12|held
1481|birch|east|rotor|53|shipped
1299|ionic|north|valve|12|shipped
1752|birch|north|panel|53|shipped
1655|dorian|north|frame|76|paid
1607|gale|west|gasket|50|pending
1544|cobalt|north|valve|82|held
1800|fulton|east|panel|27|shipped
1751|dorian|south|frame|76|pending
1876|fulton|west|pump|59|paid
1364|harbor|west|pump|14|held
2121|acme|east|gasket|63|held
1731|juno|south|pump|97|paid
1405|acme|east|gasket|28|paid
1688|fulton|east|gasket|26|shipped
1409|cobalt|west|gasket|66|held
2042|harbor|west|rotor|56|held
1817|ember|east|rotor|78|shipped
1386|ionic|east|frame|99|pending
1310|birch|south|rotor|82|pending
2193|ionic|north|gasket|54|paid
2175|dorian|west|sensor|31|pending
1558|acme|north|pump|26|held
1700|gale|east|valve|46|pending
1215|ionic|north|cable|21|paid
1167|ionic|north|panel|53|pending
1732|juno|east|panel|62|shipped
1842|acme|east|rotor|95|held
1235|juno|south|sensor|92|paid
2035|gale|east|gasket|51|shipped
1224|fulton|west|pump|39|held
1720|harbor|south|sensor|22|held
2154|juno|south|cable|54|paid
1654|ember|east|cable|58|pending
1749|acme|north|panel|75|paid
2099|birch|east|pump|91|pending
1313|cobalt|north|frame|48|shipped
2167|gale|west|frame|71|paid
1660|harbor|north|panel|86|shipped
1769|birch|east|valve|29|pending
1411|fulton|south|panel|95|paid
1596|ember|west|panel|29|paid
1609|fulton|north|rotor|23|held
1288|ember|south|sensor|31|shipped
1530|fulton|south|frame|44|shipped
1269|dorian|west|frame|64|pending
2143|harbor|south|sensor|69|pending
1352|acme|east|gasket|78|paid
2080|ionic|east|frame|27|shipped
2087|ember|east|panel|40|pending
1488|birch|east|panel|26|held
1240|fulton|west|cable|83|pending
1964|dorian|south|pump|85|pending
1693|birch|west|cable|65|shipped
1368|cobalt|west|panel|93|paid
1193|ionic|north|valve|64|shipped
2091|acme|south|cable|31|paid
1551|fulton|west|pump|30|shipped
1759|acme|north|frame|76|paid
1822|juno|west|sensor|80|shipped
1366|cobalt|east|gasket|78|pending
1212|ionic|east|gasket|89|pending
1337|juno|east|panel|59|pending
1362|juno|east|frame|43|pending
1992|birch|south|panel|20|shipped
1179|ionic|north|valve|39|shipped
1591|fulton|north|pump|25|held
1967|dorian|east|sensor|77|shipped
2128|acme|east|sensor|81|held
1890|ember|south|panel|88|held
1291|ember|west|gasket|76|shipped
1579|ember|north|sensor|11|paid
1704|acme|east|cable|25|paid
2123|cobalt|south|gasket|83|paid
1507|harbor|north|gasket|61|pending
1200|ionic|north|valve|23|shipped
1598|ember|south|gasket|30|held
1189|ionic|south|valve|40|pending
1787|acme|south|gasket|30|held
1358|ionic|north|gasket|72|held
1258|ember|north|valve|99|shipped
1790|gale|south|valve|64|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{ "tool": "cancel_order", "args": { "order_id": 1998 } },
{ "tool": "cancel_order", "args": { "order_id": 1182 } },
{ "tool": "restock", "args": { "item": "panel", "qty": 70 } },
{ "tool": "restock", "args": { "item": "cable", "qty": 96 } },
{ "tool": "cancel_order", "args": { "order_id": 1871 } },
{ "tool": "restock", "args": { "item": "rotor", "qty": 91 } },
{ "tool": "restock", "args": { "item": "gasket", "qty": 72 } },
{ "tool": "cancel_order", "args": { "order_id": 1445 } },
{ "tool": "cancel_order", "args": { "order_id": 1766 } },
{ "tool": "restock", "args": { "item": "cable", "qty": 86 } },
{ "tool": "restock", "args": { "item": "gasket", "qty": 89 } },
{ "tool": "cancel_order", "args": { "order_id": 1206 } },
{ "tool": "restock", "args": { "item": "cable", "qty": 62 } }
]correctagentic.tools.deploy-v1conf 99% · 390ms · $0.000 · 121 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: auth-svc, billing
- billing: auth-svc, notifier
- auth-svc: (none)
- notifier: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc" } },
{ "tool": "deploy", "args": { "service": "notifier" } },
{ "tool": "deploy", "args": { "service": "billing" } },
{ "tool": "deploy", "args": { "service": "gateway" } },
{ "tool": "health_check", "args": { "service": "gateway" } }
]wrongagentic.tools.ledger-v1conf 78% · 280ms · $0.000 · 105 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: $426
- lima: $362
- bravo: $301
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $354 from "bravo" to "kilo"
2. pay $437 from "bravo" to "kilo"
3. pay $386 from "bravo" to "kilo"
4. pay $246 from "kilo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":354}},
{"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":437}},
{"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":386}},
{"tool":"transfer","args":{"from":"kilo","to":"lima","amount":246}}
]wrongagentic.tools.triage-v1conf 12% · 465ms · $0.000 · 172 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → okafor
- data → dubois
- payments → haddad
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 2)
2. "locked out after 2FA change" (category: auth, priority 2)
3. "card declined at checkout" (category: payments, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "haddad"
}
}
]wrongagentic.tools.context-load-v1conf 0% · 413ms · $0.001 · 155 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (178 records, format: id|customer|region|item|qty|status):
```
1658|fulton|west|gasket|46|pending
1227|cobalt|north|cable|65|pending
1479|fulton|east|panel|41|paid
1137|harbor|east|valve|77|paid
1243|acme|west|frame|29|shipped
1557|ionic|south|frame|13|held
1734|cobalt|east|rotor|65|pending
1596|gale|east|frame|79|paid
1455|fulton|north|panel|76|pending
1702|fulton|west|panel|19|pending
1154|cobalt|south|panel|59|pending
1353|gale|south|gasket|45|held
1311|ember|south|sensor|72|pending
1324|cobalt|east|pump|92|paid
1567|acme|south|valve|91|held
1131|cobalt|south|frame|81|pending
1258|ionic|south|frame|60|held
1090|acme|north|rotor|22|paid
1471|harbor|east|cable|89|paid
1575|harbor|north|gasket|40|pending
1651|harbor|west|frame|22|pending
1188|harbor|east|sensor|56|paid
1661|ember|north|gasket|94|paid
1132|ionic|east|valve|11|held
1334|fulton|east|panel|29|pending
1215|acme|east|cable|70|paid
1108|ionic|south|gasket|96|held
1110|harbor|west|sensor|27|held
1602|cobalt|east|panel|71|shipped
1665|fulton|west|valve|18|pending
1175|ionic|south|sensor|99|shipped
1408|harbor|south|frame|18|pending
1385|fulton|north|panel|68|shipped
1078|acme|north|panel|99|pending
1221|birch|north|frame|53|shipped
1561|gale|west|valve|66|pending
1202|birch|west|cable|50|pending
1494|harbor|east|pump|37|held
1751|ember|north|gasket|18|held
1616|dorian|north|valve|63|held
1727|birch|south|gasket|26|held
1277|juno|west|pump|29|pending
1653|juno|south|valve|86|pending
1644|acme|west|rotor|49|held
1544|juno|south|cable|39|paid
1461|cobalt|north|valve|87|shipped
1678|ionic|west|frame|65|pending
1741|birch|south|pump|16|shipped
1753|gale|east|valve|34|held
1488|harbor|west|rotor|64|shipped
1481|fulton|north|pump|85|paid
1338|ember|east|panel|55|paid
1550|harbor|north|pump|82|paid
1579|gale|north|panel|60|pending
1182|dorian|north|frame|38|shipped
1694|cobalt|south|rotor|78|pending
1434|harbor|east|panel|71|paid
1061|acme|east|sensor|70|pending
1622|birch|west|valve|19|pending
1071|acme|south|sensor|23|pending
1106|birch|south|cable|33|shipped
1282|ember|east|sensor|96|held
1495|gale|north|cable|42|held
1097|ionic|west|cable|46|held
1586|cobalt|north|sensor|84|pending
1126|gale|south|sensor|95|held
1354|harbor|west|sensor|78|pending
1449|dorian|west|frame|16|pending
1698|dorian|east|frame|62|pending
1515|juno|north|gasket|63|shipped
1675|birch|west|valve|95|held
1422|dorian|north|cable|18|pending
1523|acme|east|sensor|25|held
1662|acme|north|rotor|12|pending
1194|gale|east|pump|96|pending
1712|fulton|south|sensor|32|pending
1540|harbor|south|panel|32|pending
1759|fulton|south|sensor|95|pending
1141|juno|east|cable|80|shipped
1445|dorian|east|pump|21|paid
1436|juno|north|pump|97|held
1387|gale|east|gasket|19|shipped
1720|ionic|east|sensor|63|pending
1429|cobalt|east|rotor|58|shipped
1473|juno|west|sensor|12|held
1158|cobalt|north|valve|46|held
1635|gale|west|rotor|99|paid
1111|harbor|west|pump|44|paid
1317|dorian|east|panel|49|held
1395|acme|east|pump|74|shipped
1419|dorian|north|frame|12|paid
1506|juno|east|rotor|36|paid
1329|juno|east|valve|88|held
1150|acme|west|frame|17|shipped
1414|fulton|south|gasket|36|paid
1615|ionic|south|pump|95|shipped
1611|harbor|north|pump|93|shipped
1147|juno|north|gasket|10|pending
1074|acme|north|cable|87|held
1528|fulton|east|cable|28|pending
1541|cobalt|south|sensor|40|paid
1401|ember|east|rotor|99|pending
1642|acme|south|panel|40|shipped
1180|birch|east|gasket|63|paid
1589|birch|south|valve|69|paid
1105|ionic|south|sensor|97|shipped
1499|gale|west|frame|19|shipped
1249|fulton|south|frame|36|pending
1265|cobalt|south|rotor|62|held
1667|ember|west|sensor|29|paid
1743|juno|east|gasket|66|paid
1518|gale|north|gasket|53|held
1682|gale|west|sensor|46|paid
1335|fulton|north|panel|90|pending
1352|fulton|south|frame|44|held
1382|ember|north|valve|71|pending
1709|cobalt|south|sensor|42|pending
1294|ember|south|frame|96|pending
1378|cobalt|east|rotor|84|pending
1255|harbor|west|valve|42|pending
1770|acme|west|gasket|82|pending
1165|gale|east|rotor|21|paid
1439|ionic|east|sensor|23|paid
1703|ionic|south|panel|67|paid
1507|birch|east|sensor|90|pending
1270|ember|south|cable|21|paid
1508|cobalt|south|gasket|56|shipped
1394|birch|north|panel|77|pending
1684|ionic|south|valve|45|pending
1671|ember|south|rotor|42|pending
1341|birch|north|cable|91|shipped
1101|fulton|east|gasket|38|pending
1228|cobalt|south|rotor|78|paid
1630|ember|south|cable|88|pending
1411|ember|west|rotor|40|paid
1310|cobalt|north|cable|84|shipped
1063|acme|north|sensor|23|shipped
1534|ember|south|cable|44|held
1299|birch|north|frame|86|pending
1464|fulton|east|frame|10|paid
1217|juno|east|pump|84|held
1359|ember|south|panel|93|pending
1276|cobalt|west|sensor|17|paid
1374|dorian|east|cable|19|shipped
1763|cobalt|west|valve|88|held
1750|gale|north|panel|46|paid
1605|ember|south|gasket|62|paid
1234|fulton|east|valve|12|held
1345|acme|south|valve|12|shipped
1418|fulton|east|frame|19|held
1673|juno|south|cable|50|paid
1289|gale|west|valve|87|held
1466|juno|east|rotor|64|held
1281|birch|west|cable|38|paid
1452|acme|north|cable|20|pending
1303|juno|south|frame|74|held
1118|juno|east|panel|94|pending
1402|harbor|south|panel|66|held
1716|birch|south|frame|24|paid
1595|ionic|west|pump|36|held
1168|ionic|north|rotor|66|paid
1121|fulton|west|pump|11|paid
1361|ionic|west|valve|84|paid
1208|juno|east|valve|89|paid
1252|ionic|north|panel|77|pending
1368|birch|east|panel|11|pending
1160|dorian|north|sensor|90|paid
1691|gale|south|cable|31|pending
1433|fulton|west|cable|15|held
1195|birch|south|panel|49|pending
1064|acme|north|sensor|20|pending
1722|ember|north|sensor|97|shipped
1239|cobalt|east|sensor|30|pending
1272|ionic|west|rotor|57|pending
1085|acme|west|pump|87|pending
1574|harbor|north|gasket|26|pending
1054|acme|north|gasket|63|pending
1627|ionic|north|cable|35|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 > 50, 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":145}},
{"tool":"restock","args":{"item":"sensor","qty":70}},
{"tool":"cancel_order","args":{"order_id":1071}},
{"tool":"cancel_order","args":{"order_id":1662}},
{"tool":"cancel_order","args":{"order_id":1627}},
{"tool":"cancel_order","args":{"order_id":1064}},
{"tool":"cancel_order","args":{"order_id":125}},
{"tool":"restock","args":{"item":"gasket","qty":63}},
{"tool":"cancel_order","args":{"order_id":1452}}
]wrongagentic.tools.ledger-v1conf 12% · 1.1s · $0.000 · 122 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $777
- echo: $643
- oscar: $310
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $132 from "oscar" to "alpha"
2. pay $92 from "alpha" to "oscar"
3. pay $387 from "oscar" to "alpha"
4. pay $196 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":"alpha","amount":132}},
{"tool":"transfer","args":{"from":"alpha","to":"oscar","amount":92}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":387}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":-51}},
{"tool":"transfer","args":{"from":"echo","to":"oscar","amount":196}}
]correctagentic.tools.deploy-v1conf 96% · 289ms · $0.000 · 84 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: (none)
- auth-svc: notifier, reports
- reports: billing, notifier
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}}
]correctagentic.tools.triage-v1conf 100% · 315ms · $0.000 · 318 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 → rivera
- infra → tanaka
- payments → chen
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 4)
2. "uploads failing intermittently" (category: infra, priority 4)
3. "invoice total wrong" (category: payments, priority 2)
4. "locked out after 2FA change" (category: auth, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-1"
}
}
]wrongagentic.tools.context-load-v1anchorconf 0% · 412ms · $0.001 · 175 tok
model answer:
[
{"tool":"cancel_order","args":{"order_id":1394}},
{"tool":"cancel_order","args":{"order_id":1357}},
{"tool":"cancel_order","args":{"order_id":1578}},
{"tool":"cancel_order","args":{"order_id":1384}},
{"tool":"cancel_order","args":{"order_id":1368}},
{"tool":"restock","args":{"item":"rotor","qty":58}},
{"tool":"restock","args":{"item":"sensor","qty":59}},
{"tool":"restock","args":{"item":"gasket","qty":60}},
{"tool":"cancel_order","args":{"order_id":1384}},
{"tool":"cancel_order","args":{"order_id":1407}}
]wrongagentic.tools.deploy-v1anchorconf 98% · 2.5s · $0.000 · 82 tok
model answer:
[
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.triage-v1anchorconf 99% · 276ms · $0.001 · 345 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 92% · 333ms · $0.000 · 207 tok
model answer:
[
{ "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": 134 } },
{ "tool": "transfer", "args": { "from": "delta", "to": "bravo", "amount": 540 } },
{ "tool": "transfer", "args": { "from": "tango", "to": "bravo", "amount": 125 } }
]code 1/30 correct
wrongcode.trace.js-v1conf 100% · 321ms · $0.000 · 15 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, 21]; 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:
228wrongcode.trace.nested-v1conf 100% · 464ms · $0.000 · 15 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 * 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:
140wrongcode.trace.python-v1conf 100% · 537ms · $0.000 · 15 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 10
while total + v <= 82:
if v % 6 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
210wrongcode.trace.js-v1conf 95% · 466ms · $0.000 · 15 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; 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:
650wrongcode.trace.nested-v1conf 95% · 334ms · $0.000 · 15 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
164wrongcode.trace.python-v1conf 98% · 336ms · $0.000 · 15 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 39:
if v % 5 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
54wrongcode.trace.nested-v1conf 96% · 315ms · $0.000 · 15 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
199wrongcode.trace.js-v1conf 98% · 264ms · $0.000 · 39 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; 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:
90wrongcode.trace.nested-v1conf 100% · 2.4s · $0.000 · 15 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 6 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:
350wrongcode.trace.js-v1conf 99% · 1.3s · $0.000 · 15 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 5) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
300wrongcode.trace.python-v1conf 98% · 336ms · $0.000 · 15 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 95:
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:
171wrongcode.trace.python-v1conf 100% · 391ms · $0.000 · 15 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 5
while total + v <= 50:
if v % 3 != 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:
0wrongcode.trace.js-v1conf 98% · 326ms · $0.000 · 15 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
590wrongcode.trace.nested-v1conf 98% · 466ms · $0.000 · 15 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, 6):
if j == 4 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:
95wrongcode.trace.python-v1conf 100% · 452ms · $0.000 · 15 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 8
while total + v <= 105:
if v % 3 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
124wrongcode.trace.js-v1conf 100% · 328ms · $0.000 · 15 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; 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:
216wrongcode.trace.python-v1conf 90% · 383ms · $0.000 · 15 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 8
while total + v <= 63:
if v % 5 != 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:
15wrongcode.trace.nested-v1conf 96% · 309ms · $0.000 · 15 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) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
63wrongcode.trace.js-v1conf 99% · 1.0s · $0.000 · 15 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 3) .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:
84wrongcode.trace.nested-v1conf 98% · 1.4s · $0.000 · 15 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
123wrongcode.trace.python-v1conf 98% · 634ms · $0.000 · 151 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 7
while total + v <= 46:
if v % 4 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
77wrongcode.trace.js-v1conf 99% · 965ms · $0.000 · 15 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
322wrongcode.trace.nested-v1conf 94% · 354ms · $0.000 · 15 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) % 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:
493wrongcode.trace.python-v1conf 96% · 461ms · $0.000 · 15 tok
question
What does this Python program print?
```python
total = 0
v = 4
while total + v <= 96:
if v % 6 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
88correctcode.trace.js-v1conf 100% · 651ms · $0.000 · 83 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [7, 8, 9, 10, 11, 12, 13]; 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:
84wrongcode.trace.nested-v1conf 92% · 412ms · $0.000 · 15 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
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:
225wrongcode.trace.python-v1anchorconf 100% · 396ms · $0.000 · 15 tok
model answer:
132wrongcode.trace.js-v1anchorconf 99% · 345ms · $0.000 · 15 tok
model answer:
126wrongcode.trace.nested-v1anchorconf 98% · 498ms · $0.000 · 15 tok
model answer:
262wrongcode.trace.python-v1anchorconf 96% · 498ms · $0.000 · 15 tok
model answer:
90instruction following 13/30 correct
wrongif.constraints.stack-v1conf 96% · 529ms · $0.000 · 38 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "orbit" and the last word must be "lumen". 3. Use the word "zephyr" 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:
orbit remembers old gears; zephyr passes through rusted valves, zephyr hums, zephyr guides dim circuits toward lumenwrongif.format.acronym-v1conf 100% · 300ms · $0.000 · 16 tok
question
Take the third letter of each of these words, in order: delta, comet, prism, falcon, basalt, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LTIMRwrongif.constraints.stack-v1conf 92% · 823ms · $0.000 · 35 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 "tundra" and the last word must be "delta". 3. Use the word "comet" 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:
tundra city glows at night, streetlights shimmer; comet whispers, shadows drift, comet fades into deltacorrectif.format.repeat-v1conf 100% · 419ms · $0.000 · 49 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRwrongif.format.acronym-v1conf 100% · 306ms · $0.000 · 17 tok
question
Take the second letter of each of these words, in order: flint, basalt, falcon, ember, 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:
LASOEBwrongif.constraints.stack-v1conf 72% · 1.9s · $0.000 · 37 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "ember" and the last word must be "comet". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
emberlit streets breathe; neon hums, echo through alleys, echo under moon, rooftops shimmer, distant cometwrongif.format.repeat-v1conf 60% · 436ms · $0.000 · 24 tok
question
Write the word "basalt" 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:
BASELT-BASELT-BASELT-BASELTwrongif.format.acronym-v1conf 73% · 356ms · $0.000 · 17 tok
question
Take the third letter of each of these words, in order: cedar, tundra, lumen, orbit, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DUNLTFwrongif.constraints.stack-v1conf 78% · 845ms · $0.000 · 46 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "delta" and the last word must be "falcon". 3. Use the word "ember" 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:
delta remembers rusty gears, an ember hums beside dusted levers; i watch its slow sparks as hours unwind like paper, guiding stray thoughts home, falconcorrectif.format.repeat-v1conf 100% · 402ms · $0.000 · 36 tok
question
Write the word "basalt" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALTwrongif.format.acronym-v1conf 55% · 595ms · $0.000 · 18 tok
question
Take the third letter of each of these words, in order: basalt, quartz, orbit, falcon, 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:
S U B L Mcorrectif.format.repeat-v1conf 100% · 808ms · $0.000 · 21 tok
question
Write the word "orbit" 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:
ORBIT-ORBIT-ORBITcorrectif.constraints.stack-v1conf 78% · 2.6s · $0.000 · 38 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "zephyr" and the last word must be "ember". 3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr guided my weary steps across distant plains, where nova visions flared, and storms softened; nova promised return, emberwrongif.constraints.stack-v1conf 93% · 345ms · $0.000 · 31 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 "tundra" and the last word must be "nova". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra lights shimmer; midnight streets echo, silence echo, rooftops glow like distant novacorrectif.format.acronym-v1conf 100% · 408ms · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: quartz, nova, cedar, prism, 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:
QNCPZcorrectif.format.repeat-v1conf 100% · 456ms · $0.000 · 34 tok
question
Write the word "falcon" 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:
FALCON_FALCON_FALCON_FALCON_FALCON_FALCON_FALCONwrongif.format.acronym-v1conf 100% · 2.6s · $0.000 · 16 tok
question
Take the second letter of each of these words, in order: basalt, flint, falcon, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ALICOCcorrectif.format.acronym-v1conf 100% · 429ms · $0.000 · 16 tok
question
Take the first letter of each of these words, in order: quartz, basalt, cedar, 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:
QBCLcorrectif.format.repeat-v1conf 100% · 300ms · $0.000 · 30 tok
question
Write the word "comet" in capitalized form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
COMET/COMET/COMET/COMET/COMET/COMETwrongif.constraints.stack-v1conf 86% · 497ms · $0.000 · 37 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 "echo" and the last word must be "quartz". 3. Use the word "zephyr" 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:
echo city lights shimmer, zephyr whispers through empty streets, zephyr carries distant drums, zephyr glows beyond quartzcorrectif.format.repeat-v1conf 100% · 516ms · $0.000 · 21 tok
question
Write the word "flint" 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:
FLINT/FLINT/FLINTwrongif.format.acronym-v1conf 99% · 913ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: echo, prism, quartz, cedar, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CHPDRwrongif.constraints.stack-v1conf 62% · 663ms · $0.000 · 40 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "orbit" and the last word must be "lumen". 3. Use the word "basalt" 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:
orbiting westward, i carried basalt memories across deserts, rivers, and dawns, until footsteps became songs, lifting into silent lumencorrectif.format.repeat-v1conf 100% · 522ms · $0.000 · 27 tok
question
Write the word "nova" in uppercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NOVA_NOVA_NOVA_NOVA_NOVA_NOVA_NOVAwrongif.format.acronym-v1conf 98% · 416ms · $0.000 · 17 tok
question
Take the third letter of each of these words, in order: drift, orbit, prism, delta, 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:
IRTDDAwrongif.constraints.stack-v1conf 86% · 386ms · $0.000 · 29 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "ember" and the last word must be "cedar". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember gears hum through basalt rust, remembering basalt summers, while oil smells like cedarwrongif.constraints.stack-v1anchorconf 86% · 326ms · $0.000 · 48 tok
model answer:
drift beneath neon bridges, lumen lanterns flicker; streets breathe softly, empty cars hum; distant laughter fades, cathedral spires reflect lumen in rain, commuters dissolve into orbitcorrectif.format.repeat-v1anchorconf 100% · 440ms · $0.000 · 29 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1anchorconf 100% · 334ms · $0.000 · 37 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 415ms · $0.000 · 16 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 99% · 6.9s · $0.000 · 17 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% · 325ms · $0.000 · 14 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 99% · 411ms · $0.000 · 15 tok
question
Identify the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 98% · 546ms · $0.000 · 14 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 98% · 261ms · $0.000 · 15 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 99% · 433ms · $0.000 · 15 tok
question
Name the element whose symbol is W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 99% · 2.1s · $0.000 · 18 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 549ms · $0.000 · 14 tok
question
What is 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 99% · 448ms · $0.000 · 18 tok
question
Identify the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 98% · 581ms · $0.000 · 15 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 99% · 356ms · $0.000 · 17 tok
question
Name the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 97% · 1.0s · $0.000 · 15 tok
question
Identify the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 580ms · $0.000 · 14 tok
question
Name the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 99% · 319ms · $0.000 · 15 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 99% · 427ms · $0.000 · 14 tok
question
Name the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 366ms · $0.000 · 15 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 99% · 275ms · $0.000 · 15 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 99% · 421ms · $0.000 · 14 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 99% · 296ms · $0.000 · 18 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% · 261ms · $0.000 · 14 tok
question
What is the element whose symbol is Pb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 340ms · $0.000 · 14 tok
question
Identify the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 99% · 503ms · $0.000 · 18 tok
question
What is 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 99% · 285ms · $0.000 · 17 tok
question
Identify the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 99% · 490ms · $0.000 · 15 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 99% · 282ms · $0.000 · 17 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 99% · 823ms · $0.000 · 18 tok
question
What is the writer of the novel "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2anchorconf 99% · 483ms · $0.000 · 15 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 99% · 2.5s · $0.000 · 14 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 99% · 434ms · $0.000 · 15 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 99% · 434ms · $0.000 · 14 tok
model answer:
Leadmath 15/30 correct
correctmath.chained.pipeline-v1conf 99% · 2.7s · $0.000 · 101 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 51 × 22. Step 2: Q = P × 4 − 216. 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:
1068correctmath.algebra.system-v2conf 98% · 1.1s · $0.000 · 190 tok
question
Solve the system, then answer the derived question. 4x + 5y = -105 8x − 2y = -102 What is the value of 3x − 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:
-18wrongmath.counterfactual.base-v1conf 95% · 343ms · $0.000 · 16 tok
question
Work strictly in base 7. Multiply the base-7 numbers 120 and 101. 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:
14130wrongmath.percent.chain-v2conf 92% · 360ms · $0.000 · 18 tok
question
An inventory starts at 84000 units. The warehouse was painted 5 years ago. In the first month the inventory grows by 14%. The warehouse was painted 31 years ago. The next month it shrinks by 19%, 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:
99129.71wrongmath.arith.chain-v2conf 98% · 808ms · $0.000 · 17 tok
question
Work out the exact value of this expression. (((79 × 49 − 339) × 5 + 7151) − 84 × 94) × 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:
2388848correctmath.chained.pipeline-v1conf 92% · 437ms · $0.000 · 171 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 26 × 85. Step 2: Q = P × 9 − 126. 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:
2474correctmath.percent.chain-v2conf 72% · 466ms · $0.000 · 266 tok
question
An inventory starts at 61000 units. The warehouse was painted 68 years ago. In the first month the inventory grows by 42%. The delivery van has a 85-liter fuel tank. The next month it shrinks by 23%, and the month after it grows by 27%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84705.70wrongmath.counterfactual.base-v1conf 94% · 363ms · $0.000 · 16 tok
question
Work strictly in base 7. Multiply the base-7 numbers 101 and 65. 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:
4525correctmath.algebra.system-v2conf 98% · 458ms · $0.000 · 265 tok
question
Solve the system, then answer the derived question. 9x + 2y = -252 5x − 7y = 6 What is the value of 2x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-12correctmath.algebra.system-v2conf 99% · 438ms · $0.000 · 200 tok
question
Solve the system, then answer the derived question. 7x + 5y = 66 6x − 4y = -250 What is the value of 3x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-125correctmath.chained.pipeline-v1conf 99% · 396ms · $0.000 · 128 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 78 × 35. Step 2: Q = P × 7 − 355. 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:
2091wrongmath.arith.chain-v2conf 98% · 563ms · $0.000 · 16 tok
question
Compute the value of the following expression. (((41 × 90 − 742) × 3 + 2802) − 97 × 61) × 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:
59508wrongmath.counterfactual.base-v1conf 98% · 262ms · $0.000 · 16 tok
question
Work strictly in base 8. Add the base-8 numbers 5064 and 1716. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
10262wrongmath.percent.chain-v2conf 0% · 363ms · $0.000 · 13 tok
question
An inventory starts at 22000 units. The warehouse was painted 113 years ago. In the first month the inventory grows by 28%. The delivery van has a 124-liter fuel tank. The next month it shrinks by 26%, and the month after it grows by 6%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctmath.arith.chain-v2conf 98% · 2.3s · $0.000 · 130 tok
question
Work out the exact value of this expression. (((85 × 54 − 596) × 9 + 1477) − 18 × 44) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
109893correctmath.chained.pipeline-v1conf 99% · 2.5s · $0.000 · 126 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 39 × 58. Step 2: Q = P × 3 − 773. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2005wrongmath.counterfactual.base-v1conf 86% · 461ms · $0.000 · 16 tok
question
Work strictly in base 9. Multiply the base-9 numbers 67 and 63. 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:
3265correctmath.algebra.system-v2conf 98% · 518ms · $0.000 · 178 tok
question
Solve the system, then answer the derived question. 3x + 6y = 240 4x − 9y = -54 What is the value of 6x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84wrongmath.arith.chain-v2conf 96% · 1.4s · $0.000 · 16 tok
question
Evaluate the expression below and give the result. (((92 × 77 − 319) × 4 + 9424) − 92 × 32) × 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:
29232wrongmath.percent.chain-v2conf 74% · 671ms · $0.000 · 18 tok
question
An inventory starts at 98000 units. The warehouse was painted 162 years ago. In the first month the inventory grows by 34%. Each pallet weighs about 60 grams more when wet. The next month it shrinks by 31%, and the month after it grows by 6%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30737.41correctmath.chained.pipeline-v1conf 100% · 783ms · $0.000 · 112 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 41 × 86. Step 2: Q = P × 4 − 933. 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:
1649wrongmath.counterfactual.base-v1conf 98% · 415ms · $0.000 · 84 tok
question
Work strictly in base 11. Add the base-11 numbers 522 and 936. 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:
1441correctmath.algebra.system-v2conf 98% · 342ms · $0.000 · 230 tok
question
Solve the system, then answer the derived question. 2x + 5y = -51 9x − 2y = 187 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:
170wrongmath.percent.chain-v2conf 96% · 289ms · $0.000 · 47 tok
question
An inventory starts at 4000 units. The warehouse was painted 149 years ago. In the first month the inventory grows by 39%. The delivery van has a 4-liter fuel tank. The next month it shrinks by 7%, and the month after it grows by 12%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4580.64correctmath.arith.chain-v2conf 99% · 451ms · $0.000 · 114 tok
question
Calculate the following. Show your reasoning, then answer. (((37 × 54 − 746) × 9 + 3856) − 41 × 51) × 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:
78198correctmath.algebra.system-v2anchorconf 98% · 946ms · $0.000 · 126 tok
model answer:
87correctmath.chained.pipeline-v1conf 100% · 331ms · $0.000 · 114 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 85 × 50. Step 2: Q = P × 6 − 504. 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:
6249wrongmath.counterfactual.base-v1anchorconf 92% · 597ms · $0.000 · 16 tok
model answer:
10433wrongmath.percent.chain-v2anchorconf 78% · 680ms · $0.000 · 18 tok
model answer:
63607.23wrongmath.arith.chain-v2anchorconf 98% · 498ms · $0.000 · 16 tok
model answer:
525786multilingual 12/30 correct
correctmultilingual.numword-v2conf 99% · 3.6s · $0.000 · 20 tok
question
Compute 86 + 387, 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 treswrongmultilingual.wordnum-v1conf 92% · 318ms · $0.000 · 15 tok
question
A number is written in French: « sept cent quatre-vingt-huit ». Another is written in Spanish: « ciento ochenta 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:
313correctmultilingual.numword-v2conf 100% · 481ms · $0.000 · 18 tok
question
Compute 51 + 146, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ciento noventa y sietewrongmultilingual.wordnum-v1conf 99% · 503ms · $0.000 · 15 tok
question
A number is written in French: « cent vingt-trois ». Another is written in Spanish: « cuatrocientos ochenta 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:
-357wrongmultilingual.wordnum-v1conf 99% · 385ms · $0.000 · 16 tok
question
A number is written in French: « huit cent quarante-huit ». Another is written in Spanish: « setecientos 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:
1573correctmultilingual.numword-v2conf 99% · 545ms · $0.000 · 19 tok
question
Compute 381 + 266, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent quarante-septwrongmultilingual.wordnum-v1conf 72% · 403ms · $0.000 · 15 tok
question
A number is written in French: « neuf cent soixante et onze ». Another is written in Spanish: « trescientos noventa y 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:
198wrongmultilingual.numword-v2conf 100% · 406ms · $0.000 · 17 tok
question
Compute 140 + 161, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos unwrongmultilingual.wordnum-v1conf 98% · 270ms · $0.000 · 15 tok
question
A number is written in French: « cent cinq ». Another is written in Spanish: « cuatrocientos veintiocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
619correctmultilingual.wordnum-v1conf 95% · 935ms · $0.000 · 15 tok
question
A number is written in French: « cent quatre-vingt-trois ». Another is written in Spanish: « quinientos 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:
688correctmultilingual.numword-v2conf 100% · 610ms · $0.000 · 19 tok
question
Compute 492 + 342, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos treinta y cuatrowrongmultilingual.numword-v2conf 99% · 290ms · $0.000 · 18 tok
question
Compute 309 + 220, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent trente-neufwrongmultilingual.wordnum-v1conf 92% · 489ms · $0.000 · 15 tok
question
A number is written in French: « trois cent quatre-vingt-treize ». Another is written in Spanish: « cuatrocientos noventa 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:
889correctmultilingual.numword-v2conf 99% · 335ms · $0.000 · 16 tok
question
Compute 458 + 57, 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 quinzewrongmultilingual.numword-v2conf 99% · 1.6s · $0.000 · 16 tok
question
Compute 403 + 198, 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 unecorrectmultilingual.wordnum-v1conf 92% · 313ms · $0.000 · 15 tok
question
A number is written in French: « soixante-cinq ». Another is written in Spanish: « setecientos noventa y tres ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
858wrongmultilingual.wordnum-v1conf 98% · 1.3s · $0.000 · 15 tok
question
A number is written in French: « neuf cent vingt-sept ». Another is written in Spanish: « quinientos cuarenta y seis ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
14wrongmultilingual.numword-v2conf 100% · 764ms · $0.000 · 18 tok
question
Compute 113 + 457, 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 soixantecorrectmultilingual.wordnum-v1conf 93% · 627ms · $0.000 · 16 tok
question
A number is written in French: « neuf cent quatorze ». Another is written in Spanish: « doscientos ochenta y tres ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1197correctmultilingual.numword-v2conf 100% · 549ms · $0.000 · 17 tok
question
Compute 396 + 454, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
huit cent cinquantecorrectmultilingual.numword-v2conf 100% · 735ms · $0.000 · 20 tok
question
Compute 381 + 338, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos diecinuevewrongmultilingual.wordnum-v1conf 96% · 993ms · $0.000 · 15 tok
question
A number is written in French: « trois cent six ». Another is written in Spanish: « setecientos sesenta 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:
647wrongmultilingual.wordnum-v1conf 96% · 304ms · $0.000 · 15 tok
question
A number is written in French: « quatre cent vingt-trois ». Another is written in Spanish: « ciento veintiocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
995wrongmultilingual.wordnum-v1anchorconf 98% · 577ms · $0.000 · 15 tok
model answer:
-50wrongmultilingual.numword-v2conf 100% · 276ms · $0.000 · 16 tok
question
Compute 478 + 302, 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 95% · 296ms · $0.000 · 15 tok
question
A number is written in French: « neuf cent cinquante-trois ». Another is written in Spanish: « ochocientos setenta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
178correctmultilingual.numword-v2conf 100% · 474ms · $0.000 · 20 tok
question
Compute 105 + 68, 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:
cent soixante-treizewrongmultilingual.numword-v2anchorconf 99% · 466ms · $0.000 · 20 tok
model answer:
neuf cent soixante-neufcorrectmultilingual.numword-v2anchorconf 100% · 427ms · $0.000 · 17 tok
model answer:
seiscientos ochowrongmultilingual.wordnum-v1anchorconf 95% · 849ms · $0.000 · 16 tok
model answer:
66562reasoning 8/30 correct
correctreasoning.deduction.position-v1conf 98% · 537ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Priya. Priya is number 4 in the queue. Tessa is directly ahead of Ines. Nadir is directly ahead of Tessa. 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:
Tessawrongreasoning.deduction.order-v2conf 78% · 301ms · $0.000 · 14 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Goran. Farah is faster than Liam. Dara is faster than Farah. Bruno is faster than Dara. Farah is faster than Priya. Goran is faster than Priya. Goran is faster than Liam. Jonas is faster than Bruno. Quinn is taller than everyone here, but Quinn is not being ranked. Priya is faster than Liam. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Darawrongreasoning.deduction.position-v1conf 86% · 522ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Ines. Farah is number 3 in the queue. Ines is directly ahead of Farah. 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:
Ineswrongreasoning.deduction.order-v2conf 78% · 281ms · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Mona is heavier than everyone here, but Mona is not being ranked. Sami is older than Ines. Sami is older than Dara. Alice is older than Priya. Ines is older than Dara. Jonas is older than Priya. Priya is older than Sami. Priya is older than Dara. Alice is older than Liam. Liam is older 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:
Ineswrongreasoning.deduction.order-v2conf 86% · 485ms · $0.000 · 14 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Nadir is older than Kira. Kira is older than Jonas. Jonas is older than Sami. Sami is older than Hana. Ines is heavier than everyone here, but Ines is not being ranked. Bruno is older than Hana. Sami is older than Farah. Farah is older than Bruno. Jonas is older than Hana. Nadir is older than Hana. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 92% · 292ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Goran. Kira is number 4 in the queue. Alice is directly ahead of Kira. Goran is directly ahead of Alice. 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:
Goranwrongreasoning.deduction.order-v2conf 78% · 765ms · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Kira. Mona is heavier than Alice. Alice is heavier than Liam. Jonas is heavier than Quinn. Liam is heavier than Ola. Quinn is heavier than Mona. Liam is heavier than Kira. Hana is taller than everyone here, but Hana is not being ranked. Jonas is heavier than Mona. Alice is heavier 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 308ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Dara. Dara is directly ahead of Mona. Ola is number 4 in the queue. Mona is directly ahead of Ola. 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:
Farahcorrectreasoning.deduction.position-v1conf 98% · 291ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 3 in the queue. Nadir is directly ahead of Farah. Liam is directly ahead of Nadir. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.position-v1conf 86% · 782ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Hana. Nadir is directly ahead of Chen. Hana is directly ahead of Nadir. Chen 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:
Hanawrongreasoning.deduction.order-v2conf 78% · 374ms · $0.000 · 15 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Sami is heavier than Tessa. Ola is heavier than Mona. Priya is heavier than Dara. Dara is heavier than Farah. Tessa is heavier than Priya. Mona is heavier than Sami. Sami is heavier than Priya. Tessa is heavier than Dara. Bruno is taller than everyone here, but Bruno is not being ranked. Ola is heavier 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:
Tessawrongreasoning.deduction.order-v2conf 78% · 1.2s · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Ines. Dara is taller than Ola. Emil is taller than Alice. Hana is faster than everyone here, but Hana is not being ranked. Alice is taller than Rosa. Jonas is taller than Dara. Emil is taller than Rosa. Ines is taller than Ola. Ines is taller than Jonas. Ines is taller than Dara. 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:
Inescorrectreasoning.deduction.position-v1conf 99% · 470ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 3 in the queue. Nadir is directly ahead of Emil. Bruno is directly ahead of Nadir. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunowrongreasoning.deduction.order-v2conf 90% · 340ms · $0.000 · 15 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Sami. Ola is heavier than Ines. Priya is heavier than Liam. Quinn is heavier than Priya. Tessa is heavier than Ines. Quinn is heavier than Tessa. Sami is heavier than Ines. Jonas is faster than everyone here, but Jonas is not being ranked. Sami is heavier than Tessa. Ola is heavier than Quinn. 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:
Ineswrongreasoning.deduction.position-v1conf 100% · 373ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Alice. Alice is directly ahead of Priya. Hana is directly ahead of Emil. Priya is number 4 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:
Hanawrongreasoning.deduction.position-v1conf 100% · 485ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 3 in the queue. Bruno is directly ahead of Quinn. Chen is directly ahead of Bruno. 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:
Chenwrongreasoning.deduction.order-v2conf 82% · 412ms · $0.000 · 15 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Mona. Goran is heavier than Mona. Goran is heavier than Tessa. Nadir is taller than everyone here, but Nadir is not being ranked. Goran is heavier than Liam. Dara is heavier than Tessa. Bruno is heavier than Dara. Sami is heavier than Goran. Mona is heavier than Bruno. Liam is heavier than Tessa. 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:
Tessawrongreasoning.deduction.position-v1conf 98% · 2.5s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Dara. Dara is number 3 in the queue. Quinn is directly ahead of Liam. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinnwrongreasoning.deduction.order-v2conf 74% · 2.5s · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Jonas. Kira is heavier than Dara. Liam is heavier than Kira. Dara is heavier than Jonas. Alice is heavier than Liam. Dara is heavier than Chen. Chen is heavier than Rosa. Jonas is heavier than Chen. Alice is heavier than Jonas. Goran is taller than everyone here, but Goran is not being ranked. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosawrongreasoning.deduction.position-v1conf 98% · 980ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Farah. Rosa is number 1 in the queue. Farah is directly ahead of Liam. 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:
Goranwrongreasoning.deduction.order-v2conf 93% · 433ms · $0.000 · 14 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Hana. Priya is older than Alice. Mona is older than Kira. Sami is heavier than everyone here, but Sami is not being ranked. Alice is older than Kira. Jonas is older than Quinn. Priya is older than Hana. Kira is older than Hana. Quinn is older than Mona. Mona is older than Priya. 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:
Alicewrongreasoning.deduction.order-v2conf 34% · 345ms · $0.000 · 14 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Bruno. Priya is taller than everyone here, but Priya is not being ranked. Rosa is faster than Dara. Quinn is faster than Sami. Bruno is faster than Quinn. Dara is faster than Hana. Rosa is faster than Bruno. Nadir is faster than Quinn. Bruno is faster than Nadir. Bruno is faster than Sami. 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:
Quinnwrongreasoning.deduction.position-v1conf 92% · 485ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Quinn. Mona is number 3 in the queue. Quinn is directly ahead of Mona. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicewrongreasoning.deduction.order-v2conf 86% · 333ms · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Hana is older than everyone here, but Hana is not being ranked. Rosa is heavier than Quinn. Ola is heavier than Rosa. Tessa is heavier than Jonas. Jonas is heavier than Quinn. Jonas is heavier than Sami. Mona is heavier than Sami. Mona is heavier than Ola. Rosa is heavier than Tessa. Sami is heavier than Quinn. 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:
Quinncorrectreasoning.deduction.position-v1conf 92% · 892ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 2 in the queue. Mona is directly ahead of Tessa. Bruno is directly ahead of Farah. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monawrongreasoning.deduction.order-v2conf 58% · 474ms · $0.000 · 14 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Quinn. Mona is faster than Quinn. Hana is faster than Quinn. Farah is faster than Hana. Mona is faster than Kira. Hana is faster than Mona. Emil is older than everyone here, but Emil is not being ranked. Kira is faster than Bruno. Quinn is faster than Kira. Bruno is faster than Ines. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunowrongreasoning.deduction.position-v1anchorconf 100% · 415ms · $0.000 · 15 tok
model answer:
Gorancorrectreasoning.deduction.order-v2anchorconf 90% · 475ms · $0.000 · 14 tok
model answer:
Quinnwrongreasoning.deduction.position-v1anchorconf 20% · 430ms · $0.000 · 14 tok
model answer:
Samiwrongreasoning.deduction.order-v2anchorconf 82% · 397ms · $0.000 · 14 tok
model answer:
Quinnterminal 7/30 correct
wrongterminal.exit.chain-v1conf 86% · 2.3s · $0.000 · 27 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 false && echo A || echo B false && echo C || echo D false && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
Z
exit:0wrongterminal.fs.tree-v1conf 0% · 376ms · $0.000 · 135 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/build`, `/proj/assets`): ``` /proj/assets/report.txt /proj/build/setup.log /proj/docs/notes.md /proj/draft.cfg /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch docs/draft-2.md mv assets/report.txt assets/todo-8.log mv assets/todo-8.log assets/report-3.txt mv draft.cfg setup-7.md rm docs/notes.md mv docs/draft-2.md docs/report-6.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/report-3.txt
/proj/assets/report-3.txt
/proj/assets/todo-8.log
/proj/assets/todo-8.log
/proj/assets/report-3.txt
/proj/assets/todo-8.log
/proj/assets/report-3.txt
/proj/assets/todo-8.log
/proj/build/setup-7.md
/proj/build/setup.log
/proj/docs/draft-2.md
/proj/docs/draft-2.md
/proj/docs/report-6.txt
/proj/draft.cfg
/proj/todo.mdwrongterminal.pipeline.predict-v1conf 100% · 287ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,eng,33,24
cy,eng,29,31
max,hr,59,54
ana,sales,35,60
lou,eng,16,44
pam,ops,38,38
ivy,eng,103,35
fay,eng,44,99
kim,ops,109,15
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 65 { 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.exit.chain-v1conf 99% · 394ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:0wrongterminal.fs.tree-v1conf 12% · 491ms · $0.000 · 46 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/main.cfg /proj/logs/index.cfg /proj/logs/report.txt /proj/setup.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm conf/main.cfg cd conf rm ../../proj/util.md touch ../../proj/src/draft-6.md mv ../../proj/logs/report.txt ../../proj/logs/index-9.md cd ../../proj mv setup.md src/ cd . mv logs/index.cfg src/ mv logs/index-9.md logs/main-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/logs/index.cfg
/proj/logs/main-8.md
/proj/src/draft-6.md
/proj/src/index.cfgwrongterminal.pipeline.predict-v1conf 98% · 593ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
bo,ops,57,79
jon,ops,14,21
ned,ops,53,69
max,legal,79,60
ivy,hr,60,99
lou,sales,119,39
gus,hr,91,27
kim,sales,96,22
cy,sales,107,58
pam,legal,89,96
eli,legal,64,75
fay,ops,7,92
dev,legal,66,57
ana,legal,119,32
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 50 { 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 72% · 697ms · $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/docs`): ``` /proj/docs/draft.md /proj/docs/notes.txt /proj/docs/report.txt /proj/index.txt /proj/setup.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm index.txt rm docs/notes.txt touch report-6.cfg cd . cp docs/draft.md conf/ mv conf/draft.md docs/ cd docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft.md
/proj/conf/report-6.cfg
/proj/docs/notes.txt
/proj/docs/report.txt
/proj/docs/draft.mdcorrectterminal.exit.chain-v1conf 100% · 329ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B true && echo C || echo D false && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:1wrongterminal.pipeline.predict-v1conf 96% · 809ms · $0.000 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,ops,73,80 ned,ops,9,21 fay,sales,23,94 max,sales,86,76 bo,ops,100,83 lou,hr,96,60 gus,sales,71,69 eli,eng,34,57 ivy,sales,9,76 pam,ops,3,27 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ivy 9
lou 96correctterminal.exit.chain-v1conf 98% · 567ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B true && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:1wrongterminal.fs.tree-v1conf 62% · 323ms · $0.000 · 77 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/docs`): ``` /proj/assets/notes.txt /proj/docs/index.txt /proj/docs/todo.log /proj/setup.txt /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch index-3.md touch report-8.txt touch assets/todo-1.txt cp docs/index.txt assets/ cd logs rm ../../proj/util.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/notes.txt
/proj/assets/todo-1.txt
/proj/assets/index.txt
/proj/assets/index-3.md
/proj/docs/index.txt
/proj/docs/todo.log
/proj/index-3.md
/proj/report-8.txt
/proj/setup.txtcorrectterminal.pipeline.predict-v1conf 99% · 464ms · $0.000 · 31 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` fay,eng,44,68 pam,eng,113,47 cy,sales,90,33 lou,sales,58,71 ivy,hr,17,34 bo,legal,30,99 max,ops,79,29 oli,eng,93,19 jon,ops,46,24 ana,eng,87,90 ned,eng,41,61 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
jon,ops,46,24
max,ops,79,29correctterminal.exit.chain-v1conf 99% · 3.0s · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q amber notes.txt && 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:1wrongterminal.fs.tree-v1conf 5% · 290ms · $0.000 · 250 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/conf`): ``` /proj/build/report.cfg /proj/build/util.txt /proj/draft.cfg /proj/notes.cfg /proj/src/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch src/notes-2.cfg mkdir -p src/conf-9 cd conf mkdir -p ../../proj/build/assets-3 cd ../../proj/src/conf-9 touch ../../../proj/src/main-6.md mkdir -p ../../../proj/src/conf-3 cd ../../../proj/src/conf-3 mv ../../../proj/notes.cfg ../../../proj/build/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/assets-3
/proj/build/assets-3/main-6.md
/proj/build/report.cfg
/proj/build/util.txt
/proj/build/notes.cfg
/proj/build/assets-3/main-6.md
/proj/src/main-6.md
/proj/src/setup.md
/proj/src/notes-2.cfg
/proj/src/conf-3
/proj/src/conf-9
/proj/src/conf-9/main-6.md
/proj/src/conf-9/conf-3
/proj/src/conf-3
/proj/src/conf-3/conf-9
/proj/src/conf-3/notes.cfg
/proj/src/conf-3/main-6.md
/proj/src/conf-9/main-6.md
/proj/src/conf-9/notes.cfg
/proj/src/conf-3/main-6.md
/proj/src/conf-3/notes-2.cfg
/proj/src/conf-3/draft.cfg
/proj/src/conf-3/setup.md
/proj/src/conf-3/notes.cfg
/proj/src/conf-3/report.cfg
/proj/src/conf-3/util.txtcorrectterminal.exit.chain-v1conf 98% · 364ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
exit:1wrongterminal.pipeline.predict-v1conf 100% · 340ms · $0.000 · 31 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,ops,61,89 ned,ops,97,46 ivy,eng,74,49 eli,eng,117,94 jon,sales,7,70 pam,legal,116,39 max,eng,14,66 gus,eng,4,53 kim,sales,69,19 cy,eng,48,81 dev,ops,105,53 bo,ops,63,45 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,ops,61,89
dev,ops,105,53wrongterminal.exit.chain-v1conf 98% · 353ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:0wrongterminal.fs.tree-v1conf 55% · 1.0s · $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/logs`, `/proj/build`, `/proj/docs`): ``` /proj/build/todo.cfg /proj/docs/index.cfg /proj/docs/setup.md /proj/main.log /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 docs/build-2 rm docs/setup.md rm build/todo.cfg cd logs mv ../../proj/util.log ../../proj/report-3.md touch ../../proj/docs/build-2/todo-4.cfg mv ../../proj/main.log ../../proj/report-3.cfg mkdir -p ../../proj/docs/build-2/logs-8 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/build-2/logs-8/todo-4.cfg
/proj/docs/build-2/todo-4.cfg
/proj/report-3.cfg
/proj/report-3.md
/proj/docs/index.cfgwrongterminal.pipeline.predict-v1conf 97% · 305ms · $0.000 · 31 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ned,ops,67,25 fay,sales,23,92 max,ops,115,11 gus,eng,95,68 lou,eng,91,70 ana,hr,63,60 ivy,legal,110,88 cy,hr,9,93 hal,hr,113,65 ``` 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:
cy,hr,9,93
hal,hr,113,65wrongterminal.fs.tree-v1conf 92% · 334ms · $0.000 · 80 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/docs`, `/proj/assets`): ``` /proj/conf/report.md /proj/conf/todo.log /proj/docs/util.log /proj/main.txt /proj/notes.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p src-9 cp conf/todo.log ./ cd assets touch ../../proj/conf/util-3.md cd ../../proj cd . rm conf/util-3.md touch src-9/setup-4.txt cd conf touch util-9.md mv todo.log todo-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/conf/report.md
/proj/conf/todo.log
/proj/conf/util-9.md
/proj/docs/util.log
/proj/main.txt
/proj/notes.log
/proj/src-9/setup-4.txt
/proj/assets/util-3.md
/proj/assets/todo-2.cfgcorrectterminal.exit.chain-v1conf 98% · 1.4s · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:1wrongterminal.fs.tree-v1anchorconf 3% · 685ms · $0.002 · 1470 tok
model answer:
/proj/build-4/todo-4.md
/proj/build-4/setup-8.md
/proj/build-4/build-4/todo-4.md
/proj/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/todo-4.md
/proj/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/build-4/setup-8.md
/proj/docs/util.log
/proj/docs/report-8.cfg
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgwrongterminal.pipeline.predict-v1conf 99% · 696ms · $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):
```
gus,eng,81,95
jon,sales,42,67
lou,sales,60,39
eli,eng,63,28
pam,hr,32,18
dev,sales,8,77
hal,legal,30,29
ana,legal,83,80
bo,hr,30,51
oli,ops,39,44
fay,ops,76,71
ned,legal,66,72
cy,ops,114,68
ivy,ops,33,15
```
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:
134wrongterminal.fs.tree-v1conf 22% · 301ms · $0.000 · 81 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/logs`): ``` /proj/conf/index.cfg /proj/conf/setup.md /proj/conf/util.md /proj/draft.txt /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp conf/util.md ./ cd . mkdir -p conf/src-3 mv util.md setup-9.md mkdir -p conf/assets-9 cd conf/src-3 mkdir -p ../../../proj/docs/src-2 mkdir -p ../../../proj/logs/logs-8 mkdir -p ../../../proj/logs/logs-8/logs-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/index.cfg
/proj/conf/setup-9.md
/proj/conf/util.md
/proj/docs/src-2
/proj/logs/logs-8/logs-2
/proj/draft.txt
/proj/todo.md
/proj/conf/util.md
/proj/conf/setup-9.mdcorrectterminal.pipeline.predict-v1conf 98% · 278ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,hr,70,53
ana,sales,66,65
dev,hr,103,12
max,hr,24,43
bo,eng,76,58
fay,ops,114,89
cy,sales,76,38
eli,sales,28,13
gus,hr,33,77
pam,ops,73,61
ivy,hr,109,75
lou,legal,54,90
```
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:
1wrongterminal.exit.chain-v1conf 99% · 276ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f app.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
exit:0wrongterminal.fs.tree-v1conf 12% · 878ms · $0.000 · 69 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/build`): ``` /proj/assets/util.txt /proj/build/setup.txt /proj/draft.txt /proj/src/main.cfg /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv src/main.cfg src/todo-3.md cd . mv draft.txt todo-7.txt cd build mv ../../proj/assets/util.txt ../../proj/assets/ mkdir -p ../../proj/src/conf-9 cd ../../proj mv todo.log index-9.md cd src mkdir -p docs-4 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/util.txt
/proj/build/setup.txt
/proj/index-9.md
/proj/src/conf-9/.keep
/proj/src/docs-4/.keep
/proj/src/todo-3.md
/proj/todo-7.txtwrongterminal.pipeline.predict-v1anchorconf 32% · 823ms · $0.000 · 39 tok
model answer:
dev,eng,81,95
max,eng,43,64
cy,eng,115,45wrongterminal.pipeline.predict-v1anchorconf 99% · 4.0s · $0.000 · 17 tok
model answer:
4wrongterminal.exit.chain-v1anchorconf 98% · 461ms · $0.000 · 27 tok
model answer:
B
D
E
G
exit:0vision ocr 8/30 correct
correctvision.ocr.table-read-v1conf 98% · 6.7s · $0.000 · 15 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:
38wrongvision.ocr.table-read-v1conf 98% · 449ms · $0.000 · 15 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:
175wrongvision.ocr.code-hunt-v1conf 86% · 329ms · $0.000 · 17 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:
CNVEPJwrongvision.ocr.table-read-v1conf 98% · 3.0s · $0.000 · 15 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:
126wrongvision.ocr.code-hunt-v1conf 45% · 590ms · $0.000 · 16 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
WPXF XEwrongvision.ocr.code-hunt-v1conf 78% · 334ms · $0.000 · 20 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:
4FEJFPWRPcorrectvision.ocr.table-read-v1conf 98% · 434ms · $0.000 · 15 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:
44wrongvision.ocr.code-hunt-v1conf 62% · 399ms · $0.000 · 19 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:
A3PPCFBEwrongvision.ocr.code-hunt-v1conf 92% · 754ms · $0.000 · 17 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:
RT3CKRcorrectvision.ocr.table-read-v1conf 96% · 336ms · $0.000 · 15 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:
93wrongvision.ocr.table-read-v1conf 93% · 2.3s · $0.000 · 15 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:
89correctvision.ocr.code-hunt-v1conf 97% · 619ms · $0.000 · 18 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:
AN4UFPHCwrongvision.ocr.table-read-v1conf 92% · 266ms · $0.000 · 15 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:
54wrongvision.ocr.code-hunt-v1conf 15% · 624ms · $0.000 · 17 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:
MA DNM93wrongvision.ocr.code-hunt-v1conf 96% · 2.4s · $0.000 · 19 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:
WV3P3N7wrongvision.ocr.code-hunt-v1conf 94% · 3.1s · $0.000 · 17 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:
PV9WVKYwrongvision.ocr.table-read-v1conf — · 613ms · $0.000 · 7 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:
(none extracted)correctvision.ocr.table-read-v1conf 96% · 310ms · $0.000 · 15 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:
41correctvision.ocr.table-read-v1conf 92% · 626ms · $0.000 · 15 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:
68wrongvision.ocr.code-hunt-v1conf 26% · 339ms · $0.000 · 18 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:
XNNV4NNwrongvision.ocr.code-hunt-v1conf 22% · 2.0s · $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:
4F6JCHJUJwrongvision.ocr.table-read-v1conf 95% · 492ms · $0.000 · 15 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:
145wrongvision.ocr.code-hunt-v1conf 62% · 431ms · $0.000 · 18 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:
UKI2DUHwrongvision.ocr.table-read-v1conf 98% · 777ms · $0.000 · 12 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:
(none extracted)correctvision.ocr.code-hunt-v1conf 92% · 628ms · $0.000 · 19 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:
JDYV4CNHwrongvision.ocr.table-read-v1conf 98% · 310ms · $0.000 · 15 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:
69wrongvision.ocr.code-hunt-v1anchorconf 28% · 1.2s · $0.000 · 19 tok
model answer:
K+9D3Dwrongvision.ocr.table-read-v1anchorconf 95% · 305ms · $0.000 · 12 tok
model answer:
(none extracted)wrongvision.ocr.code-hunt-v1anchorconf 92% · 1.1s · $0.000 · 20 tok
model answer:
YH9EAAANPcorrectvision.ocr.table-read-v1anchorconf 100% · 490ms · $0.000 · 15 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit402
- 2026-08-05v0.2.0index_fit402
- 2026-08-05v0.2.0index_fit402
- 2026-08-05v0.2.0index_fit402
- 2026-08-05v0.2.0index_fit403
- 2026-08-05v0.2.0index_fit403
- 2026-08-05v0.2.0index_fit405
- 2026-08-05v0.2.0index_fit406
- 2026-08-05v0.2.0index_fit408
- 2026-08-05v0.2.0index_fit409
- 2026-08-05v0.2.0index_fit410
- 2026-08-05v0.2.0index_fit410
- 2026-08-05v0.2.0index_fit263