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Cohere: Command R+ (08-2024)
cohere/command-r-plus-08-2024 · cohere · context 128 000 · in $2.50/1M · out $10.00/1M
Global Index
357
95% CI [328–387] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| code | 240 [202–279] | 0.080 | 0.65 | 0.17 | 0.096 | 233ms | $4.78 | |
| instruction following | 314 [237–392] | 0.245 | 0.79 | 0.48 | 0.310 | 226ms | $0.628 | |
| knowledge | 582 [435–730] | 0.469 | 0.98 | 0.90 | 0.115 | 227ms | $0.326 | |
| math | 273 [223–322] | 0.132 | 0.60 | 0.40 | 0.115 | 234ms | $2.54 | |
| multilingual | 374 [335–412] | 0.092 | 0.90 | 0.33 | 0.000 | 229ms | $0.419 | |
| reasoning | 420 [355–484] | 0.191 | 0.92 | 0.47 | 0.038 | 225ms | $0.461 | |
| terminal | 299 [225–372] | 0.217 | 0.90 | 0.33 | 0.231 | 246ms | $1.08 |
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 10/30 correct
wrongagentic.tools.ledger-v1conf 99% · 281ms · $0.005 · 337 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $875
- oscar: $889
- delta: $326
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $331 from "delta" to "oscar"
2. pay $584 from "oscar" to "echo"
3. pay $474 from "echo" to "delta"
4. pay $299 from "echo" to "oscar"
5. pay $298 from "delta" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "oscar",
"amount": 331
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "echo",
"amount": 584
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "echo",
"amount": 148
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "delta",
"amount": 474
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "echo",
"amount": 123
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "oscar",
"amount": 299
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 298
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "oscar",
"amount": 298
}
}
]wrongagentic.tools.triage-v1conf 99% · 226ms · $0.004 · 244 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → okafor
- auth → chen
- infra → silva
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 5)
2. "card declined at checkout" (category: payments, priority 5)
3. "API latency spikes" (category: infra, 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": "card declined at checkout",
"priority": 5
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-1",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 5
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "silva"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "okafor"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 655ms · $0.012 · 212 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 (209 records, format: id|customer|region|item|qty|status):
```
1694|cobalt|west|pump|44|shipped
1967|gale|north|frame|33|pending
1911|cobalt|east|sensor|77|pending
2093|ionic|south|pump|65|pending
1910|gale|north|frame|18|paid
1648|dorian|north|sensor|51|shipped
1807|dorian|south|rotor|94|paid
2120|ember|west|frame|21|shipped
1632|harbor|north|pump|76|shipped
1831|gale|west|frame|14|held
1591|birch|south|frame|28|paid
2014|acme|west|frame|88|pending
1589|gale|north|cable|32|held
2132|ember|west|rotor|36|pending
1714|ionic|east|panel|16|paid
1860|acme|south|rotor|89|shipped
1647|juno|east|valve|49|held
2024|fulton|west|pump|78|held
1406|cobalt|north|cable|27|pending
1505|harbor|east|frame|64|shipped
1756|gale|west|valve|61|held
2022|harbor|west|cable|81|paid
2020|juno|south|frame|70|shipped
1801|juno|north|gasket|16|paid
1515|birch|north|frame|27|pending
1904|ionic|east|valve|37|held
1759|cobalt|east|valve|57|shipped
1535|ionic|east|gasket|43|paid
2114|ember|south|frame|16|paid
1794|acme|east|rotor|55|paid
1701|juno|east|valve|74|shipped
1450|juno|south|valve|57|held
1386|cobalt|south|pump|97|pending
1565|gale|east|cable|32|paid
1841|gale|east|cable|76|paid
1948|acme|west|panel|35|paid
1963|birch|west|valve|24|held
2049|birch|west|rotor|27|pending
1652|harbor|east|pump|36|pending
1723|fulton|west|panel|38|pending
1776|harbor|west|frame|54|held
1427|cobalt|south|frame|41|pending
2169|ember|south|sensor|32|held
1613|dorian|east|valve|49|paid
2100|ionic|south|sensor|41|pending
1787|ember|north|frame|47|paid
1937|ember|east|panel|87|held
2133|gale|south|frame|35|pending
1628|birch|north|pump|43|paid
1998|dorian|east|sensor|25|pending
2007|harbor|east|sensor|64|pending
1867|gale|east|rotor|46|shipped
1520|acme|west|frame|83|paid
2180|cobalt|north|frame|31|held
1884|ionic|south|gasket|95|paid
2031|dorian|west|gasket|88|held
2157|cobalt|west|rotor|58|shipped
1506|fulton|south|frame|71|pending
2175|cobalt|north|cable|60|shipped
2060|gale|west|sensor|67|paid
1893|ember|west|sensor|18|shipped
2134|juno|west|frame|38|pending
1422|cobalt|south|valve|57|pending
1432|cobalt|north|pump|72|held
1737|harbor|east|sensor|35|pending
1879|birch|north|valve|58|pending
1398|cobalt|south|sensor|75|pending
1749|ember|east|cable|49|paid
2004|ionic|north|gasket|18|paid
1720|ember|south|rotor|44|pending
1992|harbor|north|gasket|44|paid
2056|fulton|west|panel|90|shipped
1986|gale|north|frame|36|pending
2061|juno|east|panel|90|shipped
1854|ember|north|cable|58|shipped
1474|dorian|north|panel|15|pending
1511|acme|east|frame|49|shipped
2189|juno|north|frame|32|paid
2076|cobalt|west|cable|10|paid
1399|cobalt|north|gasket|22|paid
1541|ember|east|valve|22|held
1618|juno|east|cable|13|pending
1574|juno|south|frame|49|pending
1814|acme|west|rotor|17|shipped
1707|acme|south|pump|68|shipped
2201|gale|east|pump|92|paid
2042|dorian|west|rotor|39|shipped
1705|ember|south|cable|50|shipped
1912|acme|west|pump|74|held
1605|ember|west|rotor|14|pending
1983|harbor|east|cable|75|held
1753|acme|south|valve|52|paid
1620|fulton|east|panel|51|shipped
2089|ember|west|panel|15|pending
1717|acme|west|gasket|95|pending
1636|dorian|east|sensor|57|pending
1847|juno|north|rotor|12|paid
1685|dorian|west|gasket|65|held
2129|fulton|east|frame|46|pending
1487|birch|east|sensor|64|shipped
1463|acme|west|valve|79|paid
1674|harbor|south|panel|85|held
1414|cobalt|north|gasket|54|held
1802|gale|east|cable|58|held
1771|harbor|south|frame|89|held
1926|cobalt|north|frame|73|pending
1558|ionic|east|frame|69|paid
1582|birch|east|cable|69|shipped
1789|acme|south|rotor|87|held
1836|dorian|west|panel|85|held
2149|gale|east|rotor|97|pending
2084|cobalt|north|gasket|73|pending
1443|harbor|south|panel|82|shipped
1477|ember|east|rotor|56|pending
1718|cobalt|west|pump|70|pending
1566|juno|south|panel|91|held
2066|fulton|west|cable|80|held
1596|ionic|north|rotor|75|pending
1603|dorian|east|cable|26|pending
1466|fulton|north|gasket|77|held
2083|gale|east|cable|61|held
1452|acme|west|frame|38|shipped
1423|cobalt|north|rotor|71|paid
1640|harbor|west|frame|71|shipped
1727|acme|east|cable|24|held
2012|ionic|west|sensor|30|paid
1493|acme|south|pump|69|held
1939|cobalt|north|cable|47|shipped
2090|birch|west|pump|49|shipped
1781|birch|east|frame|99|held
2139|juno|south|panel|40|pending
1498|ember|east|pump|23|held
1914|dorian|west|pump|92|paid
1426|cobalt|north|sensor|56|pending
1899|birch|south|rotor|95|held
1966|dorian|north|cable|55|paid
2144|gale|west|frame|30|pending
2113|cobalt|west|rotor|95|paid
1392|cobalt|north|gasket|75|paid
1672|fulton|north|rotor|52|paid
1572|cobalt|north|rotor|17|held
1393|cobalt|north|frame|76|pending
1661|ionic|south|rotor|48|paid
1436|cobalt|east|pump|70|pending
1750|cobalt|north|valve|10|paid
1480|acme|west|valve|26|shipped
1551|gale|north|panel|39|held
1610|juno|south|rotor|10|shipped
1760|ionic|east|rotor|43|shipped
1547|dorian|west|frame|32|paid
1818|birch|south|rotor|33|held
1665|ionic|east|cable|64|paid
1979|harbor|south|sensor|61|held
1889|ionic|east|pump|10|pending
2035|juno|north|sensor|86|held
1695|ember|north|rotor|61|shipped
1409|cobalt|west|valve|42|pending
1681|gale|north|gasket|42|paid
1658|juno|north|sensor|25|paid
1527|acme|south|frame|86|shipped
1383|cobalt|north|cable|80|pending
2102|birch|north|frame|78|shipped
1762|gale|east|cable|74|shipped
1715|ionic|west|panel|83|paid
1537|juno|south|pump|28|pending
1578|ember|north|gasket|98|pending
1468|acme|east|gasket|36|paid
2171|fulton|west|pump|26|held
1734|harbor|south|pump|87|pending
1622|fulton|south|rotor|50|pending
2174|juno|south|rotor|64|shipped
2127|ionic|west|frame|70|shipped
1941|gale|east|pump|26|paid
1947|dorian|west|cable|33|held
1924|gale|south|panel|80|held
1874|gale|west|cable|37|held
1687|harbor|north|valve|55|paid
1915|ionic|south|gasket|81|shipped
2152|cobalt|east|cable|53|shipped
2078|dorian|north|sensor|31|pending
2002|dorian|east|panel|37|pending
1495|ember|north|frame|13|shipped
2185|ember|east|panel|56|shipped
1974|gale|south|frame|34|shipped
1958|gale|north|gasket|17|pending
2160|gale|south|sensor|31|shipped
1825|juno|east|frame|42|held
1417|cobalt|north|sensor|83|pending
1634|acme|west|rotor|36|pending
1459|birch|south|panel|30|paid
2071|juno|west|frame|10|held
2106|ionic|south|rotor|27|paid
2165|ember|south|cable|50|paid
1542|cobalt|south|rotor|90|pending
1921|harbor|north|sensor|81|shipped
1619|gale|south|pump|15|pending
1842|ember|west|cable|87|held
1965|dorian|north|valve|58|paid
1639|gale|east|pump|73|paid
1744|ionic|east|pump|72|pending
2196|acme|west|cable|62|paid
1795|juno|north|gasket|55|pending
1764|birch|west|panel|70|held
2155|juno|north|gasket|84|shipped
2074|ember|west|pump|87|paid
1952|gale|south|frame|76|shipped
1863|birch|west|gasket|31|held
1932|harbor|west|rotor|23|held
1530|harbor|north|rotor|44|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 61, 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": 1406
}
},
{
"tool": "restock",
"args": {
"item": "pump",
"qty": 72
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 73
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 2180
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 31
}
},
{
"tool": "restock",
"args": {
"item": "gasket",
"qty": 73
}
}
]correctagentic.tools.deploy-v1conf 95% · 311ms · $0.002 · 143 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: gateway, reports
- search: reports
- gateway: (none)
- reports: 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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "reports"
}
},
{
"tool": "health_check",
"args": {
"service": "reports"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
}
]wrongagentic.tools.ledger-v1conf 99% · 280ms · $0.004 · 261 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: $656
- delta: $567
- oscar: $789
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $376 from "kilo" to "oscar"
2. pay $530 from "oscar" to "delta"
3. pay $592 from "delta" to "oscar"
4. pay $432 from "kilo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "oscar",
"amount": 376
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "delta",
"amount": 530
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 592
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "oscar",
"amount": 592
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "kilo",
"amount": 432
}
},
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "oscar",
"amount": 432
}
}
]correctagentic.tools.triage-v1conf 99% · 233ms · $0.005 · 321 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
- data → haddad
- auth → rivera
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 6)
2. "dashboard shows stale numbers" (category: data, priority 2)
3. "dashboard shows stale numbers" (category: data, priority 2)
4. "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": "webhooks not delivered",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "okafor"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 443ms · $0.008 · 208 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 (121 records, format: id|customer|region|item|qty|status):
```
1180|cobalt|west|gasket|61|pending
1352|harbor|east|valve|43|paid
1205|cobalt|east|frame|66|pending
1616|fulton|south|panel|41|held
1536|gale|north|gasket|27|shipped
1172|cobalt|west|frame|26|pending
1465|cobalt|east|valve|96|paid
1267|fulton|west|frame|46|held
1369|birch|north|panel|53|shipped
1357|cobalt|west|panel|25|paid
1188|cobalt|south|pump|74|pending
1377|ionic|north|rotor|66|paid
1365|gale|south|frame|65|held
1494|dorian|west|cable|36|pending
1291|cobalt|north|valve|71|pending
1575|acme|south|valve|50|held
1315|ionic|east|frame|34|pending
1475|ionic|east|sensor|60|shipped
1413|gale|east|valve|16|pending
1328|dorian|north|cable|92|held
1454|acme|east|rotor|42|paid
1247|acme|north|cable|25|held
1617|ember|south|gasket|49|paid
1604|juno|east|frame|48|shipped
1311|gale|south|valve|39|paid
1418|birch|north|sensor|27|paid
1396|dorian|north|pump|14|held
1611|acme|north|sensor|93|paid
1637|fulton|east|rotor|85|pending
1163|cobalt|south|valve|88|held
1234|harbor|west|rotor|98|pending
1502|ember|west|rotor|24|paid
1374|harbor|east|frame|60|paid
1390|gale|west|valve|19|paid
1577|juno|west|cable|49|held
1161|cobalt|east|cable|84|pending
1175|cobalt|south|cable|81|held
1560|harbor|south|rotor|55|held
1500|gale|north|panel|59|pending
1298|juno|south|valve|21|pending
1603|cobalt|north|frame|78|paid
1628|birch|west|panel|37|pending
1481|cobalt|east|frame|22|pending
1262|gale|south|frame|73|held
1334|ember|north|gasket|92|pending
1547|ember|north|panel|89|paid
1599|acme|south|panel|84|shipped
1246|fulton|north|frame|32|shipped
1419|gale|south|sensor|78|held
1383|ionic|south|gasket|49|pending
1564|birch|west|valve|69|held
1584|juno|east|cable|64|shipped
1624|birch|north|rotor|89|paid
1629|birch|west|pump|99|held
1489|birch|north|frame|40|held
1588|cobalt|south|panel|20|paid
1591|ember|east|sensor|32|paid
1201|cobalt|south|cable|83|pending
1504|gale|east|pump|24|shipped
1458|acme|south|valve|19|shipped
1445|ember|south|sensor|73|shipped
1593|harbor|east|gasket|66|shipped
1487|harbor|east|sensor|75|pending
1305|ember|east|cable|57|paid
1426|harbor|south|rotor|95|held
1320|harbor|west|pump|99|shipped
1562|fulton|north|rotor|37|pending
1363|fulton|west|pump|40|pending
1242|fulton|east|valve|19|held
1402|juno|south|valve|47|paid
1471|fulton|west|sensor|15|shipped
1330|juno|east|pump|22|paid
1286|juno|south|cable|34|held
1157|cobalt|south|frame|46|pending
1215|acme|south|rotor|96|paid
1191|cobalt|west|panel|77|pending
1543|harbor|north|sensor|10|pending
1568|ionic|south|panel|74|paid
1303|juno|east|frame|59|pending
1360|birch|south|pump|89|held
1182|cobalt|south|gasket|94|shipped
1239|juno|north|frame|50|shipped
1398|cobalt|west|rotor|36|held
1545|ionic|north|valve|64|pending
1255|birch|south|valve|20|held
1432|juno|south|sensor|88|shipped
1409|ember|east|pump|29|shipped
1519|cobalt|east|cable|31|paid
1516|harbor|south|frame|30|shipped
1373|harbor|north|rotor|97|held
1511|fulton|west|sensor|82|held
1322|gale|east|valve|94|shipped
1194|cobalt|south|gasket|26|shipped
1340|juno|north|panel|96|held
1429|harbor|south|valve|85|pending
1219|juno|south|sensor|40|held
1225|dorian|north|valve|71|pending
1169|cobalt|south|frame|41|pending
1531|harbor|north|cable|27|held
1525|birch|west|rotor|43|shipped
1549|ionic|east|pump|98|held
1509|harbor|south|frame|26|pending
1229|fulton|north|sensor|44|paid
1422|gale|east|sensor|72|held
1436|juno|south|panel|53|pending
1348|harbor|south|cable|50|held
1517|acme|north|rotor|51|held
1451|fulton|west|panel|70|shipped
1556|acme|north|sensor|11|shipped
1467|fulton|south|pump|59|paid
1569|acme|west|valve|77|paid
1347|birch|east|frame|99|held
1280|gale|east|valve|13|paid
1273|harbor|south|pump|68|pending
1438|birch|north|rotor|16|shipped
1253|juno|west|panel|32|shipped
1227|dorian|south|sensor|31|held
1179|cobalt|south|valve|33|pending
1208|cobalt|south|gasket|63|shipped
1634|cobalt|west|valve|34|pending
1639|harbor|south|valve|68|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "restock",
"args": {
"item": "gasket",
"qty": 94
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 46
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1179
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1188
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1191
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1201
}
}
]wrongagentic.tools.deploy-v1conf 100% · 314ms · $0.002 · 146 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: gateway, notifier
- auth-svc: (none)
- gateway: notifier
- 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 "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": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "health_check",
"args": {
"service": "notifier"
}
},
{
"tool": "deploy",
"args": {
"service": "reports"
}
}
]wrongagentic.tools.ledger-v1conf 99% · 632ms · $0.004 · 254 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $413
- lima: $609
- echo: $753
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $109 from "echo" to "delta"
2. pay $496 from "delta" to "echo"
3. pay $390 from "lima" to "echo"
4. pay $88 from "lima" to "delta"
5. pay $458 from "echo" 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": "echo",
"to": "delta",
"amount": 109
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "echo",
"amount": 496
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 496
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "echo",
"amount": 390
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "delta",
"amount": 88
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "lima",
"amount": 458
}
}
]correctagentic.tools.triage-v1conf 99% · 231ms · $0.004 · 306 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 → silva
- auth → dubois
- infra → chen
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 8)
2. "SSO loop on login" (category: auth, priority 9)
3. "SSO loop on login" (category: auth, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 1.2s · $0.016 · 513 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 (246 records, format: id|customer|region|item|qty|status):
```
2105|cobalt|south|pump|13|shipped
2231|dorian|north|rotor|36|paid
1596|fulton|north|panel|53|shipped
1392|cobalt|north|valve|83|held
2256|ember|north|gasket|60|shipped
2178|dorian|west|sensor|78|pending
2107|ionic|south|gasket|96|paid
2293|harbor|west|gasket|27|paid
1832|juno|south|rotor|51|pending
1910|acme|north|cable|65|held
1353|cobalt|north|rotor|51|pending
1905|juno|south|frame|14|held
2222|juno|east|valve|25|pending
1391|cobalt|south|rotor|33|pending
1373|cobalt|west|rotor|23|pending
1978|gale|south|frame|72|paid
1613|ember|south|frame|58|held
1943|harbor|east|cable|94|held
1836|birch|west|rotor|30|held
2343|ionic|west|valve|70|paid
1384|cobalt|north|panel|42|paid
2336|acme|east|sensor|95|pending
1935|juno|north|rotor|55|held
2123|cobalt|west|frame|42|paid
2310|ionic|south|gasket|75|held
1509|acme|south|gasket|23|shipped
1939|acme|west|rotor|93|pending
1989|harbor|west|frame|70|paid
2350|ember|south|panel|95|held
2059|dorian|north|panel|40|shipped
2215|juno|east|pump|11|held
2257|cobalt|east|valve|46|held
2133|gale|south|gasket|75|pending
1840|gale|west|gasket|81|shipped
1568|fulton|west|cable|74|pending
1536|cobalt|west|panel|23|paid
1486|ember|south|sensor|12|paid
1960|gale|north|cable|32|shipped
1922|harbor|south|valve|27|held
2305|harbor|west|cable|73|held
1865|acme|south|valve|84|shipped
1822|harbor|north|sensor|42|held
2171|gale|south|gasket|47|held
1788|dorian|east|gasket|52|shipped
2146|ember|west|cable|40|paid
2330|gale|north|rotor|97|paid
1375|cobalt|north|rotor|21|paid
1758|ember|west|valve|30|pending
1436|acme|west|cable|32|shipped
1828|harbor|west|valve|88|held
2239|ionic|east|frame|62|shipped
1530|ember|north|cable|69|pending
2197|dorian|west|pump|25|pending
1440|cobalt|west|cable|89|pending
2184|juno|south|rotor|91|held
1926|harbor|south|panel|49|pending
1360|cobalt|south|frame|98|pending
1546|cobalt|east|rotor|48|paid
1999|harbor|north|gasket|26|shipped
1682|fulton|east|cable|44|held
1995|gale|north|panel|18|shipped
2044|acme|south|pump|15|pending
1851|birch|south|panel|78|shipped
2272|gale|east|cable|22|shipped
1676|birch|south|rotor|54|shipped
1888|ember|north|pump|53|paid
1653|ionic|south|panel|15|shipped
1636|ember|north|sensor|61|shipped
1605|harbor|south|valve|36|shipped
2226|ember|east|sensor|94|pending
2114|ember|south|valve|89|held
1768|fulton|east|sensor|18|paid
2090|dorian|south|gasket|41|shipped
1452|cobalt|south|frame|60|shipped
1974|cobalt|east|pump|39|held
1714|ionic|south|pump|86|held
1809|gale|south|frame|51|shipped
1552|birch|east|frame|71|pending
1398|cobalt|west|rotor|33|pending
1660|cobalt|north|sensor|37|held
2265|cobalt|east|cable|98|held
2120|birch|north|valve|58|shipped
1612|gale|east|pump|68|pending
1983|ionic|north|panel|84|paid
1688|ember|east|sensor|69|pending
1724|cobalt|east|cable|42|shipped
1518|fulton|east|valve|26|paid
1551|gale|west|gasket|80|shipped
1793|ember|north|gasket|73|paid
1721|fulton|west|panel|61|held
2289|dorian|west|frame|22|shipped
2101|acme|north|gasket|44|paid
2334|ember|south|gasket|89|held
2384|fulton|east|panel|73|pending
2169|birch|west|gasket|98|held
2004|harbor|east|valve|50|paid
1620|ember|south|panel|50|held
1843|fulton|west|sensor|31|pending
2096|acme|north|gasket|77|held
2108|acme|north|gasket|77|shipped
1783|ember|south|panel|80|paid
1732|gale|north|sensor|68|held
2254|harbor|west|cable|48|pending
1858|birch|south|panel|61|held
1615|ionic|south|gasket|85|shipped
1548|harbor|east|cable|99|paid
1640|fulton|south|rotor|59|pending
1973|ember|east|sensor|69|shipped
2126|ember|north|rotor|83|shipped
1747|ember|west|valve|30|held
2238|juno|north|pump|77|shipped
1874|acme|south|gasket|98|shipped
1914|ember|north|cable|50|held
1912|birch|east|pump|48|pending
2064|birch|east|cable|34|paid
1915|dorian|east|sensor|64|shipped
2025|birch|south|frame|39|paid
2258|juno|east|sensor|82|pending
1671|harbor|north|cable|67|shipped
1501|fulton|north|gasket|50|paid
1869|birch|south|gasket|93|pending
2295|acme|south|rotor|27|paid
2379|acme|south|rotor|55|paid
2039|acme|north|valve|68|pending
1423|ionic|west|rotor|40|shipped
1549|acme|south|frame|51|paid
1589|acme|north|panel|99|pending
2070|birch|north|frame|67|pending
1764|fulton|south|cable|58|held
1988|dorian|east|frame|59|held
1880|ionic|south|pump|49|shipped
1664|ionic|south|gasket|96|pending
1425|ember|west|valve|44|held
2122|gale|south|sensor|32|paid
1512|birch|west|panel|27|pending
2313|dorian|north|pump|82|pending
2149|gale|south|pump|82|pending
2148|acme|east|sensor|42|pending
1572|birch|south|frame|13|held
1511|dorian|west|rotor|96|held
1464|juno|north|sensor|13|shipped
2125|ionic|south|rotor|20|shipped
2190|ionic|west|gasket|99|shipped
1953|acme|east|panel|64|shipped
2200|dorian|north|gasket|90|pending
1647|cobalt|south|gasket|25|shipped
1586|juno|west|sensor|54|held
2051|gale|south|gasket|40|held
1430|ember|east|valve|62|pending
1965|birch|west|gasket|84|pending
1908|birch|north|pump|55|shipped
2031|fulton|north|cable|12|pending
1442|dorian|east|cable|11|pending
1380|cobalt|east|frame|86|pending
2206|cobalt|north|valve|95|shipped
2298|acme|east|cable|27|paid
1990|dorian|south|valve|58|pending
2375|juno|west|valve|35|pending
1744|gale|south|panel|30|shipped
1466|ember|south|pump|30|held
1751|gale|south|sensor|31|shipped
1543|dorian|north|valve|78|held
1492|birch|east|rotor|77|pending
1368|cobalt|north|frame|98|pending
2364|acme|east|pump|39|pending
1580|fulton|south|panel|18|paid
2323|fulton|west|sensor|60|held
1893|gale|west|gasket|75|held
1799|harbor|south|frame|45|paid
2277|harbor|south|cable|90|shipped
2318|ember|north|pump|54|held
1481|juno|east|gasket|10|held
1576|ember|west|gasket|88|held
2247|ember|south|gasket|70|paid
1558|fulton|east|frame|12|shipped
1412|ember|west|frame|18|pending
2019|ionic|west|rotor|63|pending
1599|cobalt|north|sensor|96|shipped
2077|gale|east|cable|12|pending
1708|acme|west|gasket|62|shipped
2209|ionic|west|pump|67|paid
1777|cobalt|east|cable|94|paid
1498|ionic|west|rotor|17|pending
1446|fulton|north|valve|45|pending
2156|ionic|south|cable|72|pending
1625|cobalt|south|pump|91|paid
2367|acme|north|gasket|19|held
1461|harbor|west|panel|63|pending
2205|ember|south|rotor|20|shipped
1737|gale|north|sensor|39|paid
1418|harbor|east|frame|76|held
2021|cobalt|north|cable|25|pending
1727|gale|east|panel|92|held
2029|ionic|east|cable|97|paid
1457|harbor|south|cable|34|paid
2058|juno|north|valve|17|held
1801|ember|north|rotor|66|paid
2013|dorian|south|cable|27|pending
1525|juno|west|cable|71|pending
1868|dorian|west|gasket|54|held
2139|harbor|east|pump|54|held
2283|dorian|east|cable|94|pending
1812|juno|north|sensor|94|paid
2240|dorian|north|frame|69|paid
2224|juno|north|valve|42|shipped
2099|birch|west|panel|94|held
1389|cobalt|north|valve|73|pending
1441|ember|south|pump|73|paid
2162|birch|west|pump|41|pending
1946|gale|south|cable|80|held
1694|ember|east|sensor|15|pending
1806|fulton|east|frame|28|held
1474|ionic|west|valve|24|paid
1505|fulton|east|cable|45|pending
1883|gale|north|pump|17|paid
1775|juno|north|cable|79|shipped
1405|cobalt|north|valve|27|paid
1820|cobalt|north|valve|37|paid
2357|ember|north|sensor|50|held
2369|dorian|west|frame|25|shipped
1429|acme|east|cable|56|held
2009|fulton|north|cable|95|shipped
2080|gale|west|frame|66|held
1564|birch|west|pump|85|pending
1657|cobalt|north|frame|87|paid
2037|juno|west|pump|66|shipped
1379|cobalt|north|valve|78|pending
2341|birch|north|valve|67|pending
1649|harbor|east|valve|29|pending
2084|harbor|south|panel|61|held
2264|dorian|west|pump|50|held
1845|ionic|north|pump|80|paid
1361|cobalt|north|rotor|28|held
1701|harbor|east|rotor|65|paid
1898|ionic|west|frame|46|held
1470|birch|south|cable|64|shipped
1395|cobalt|north|gasket|92|pending
1504|birch|north|valve|37|pending
1929|ember|west|rotor|17|held
1815|gale|north|rotor|18|held
1813|gale|west|gasket|83|shipped
1631|ionic|south|pump|24|paid
2028|harbor|west|frame|75|pending
1578|fulton|west|valve|62|paid
1791|gale|south|sensor|59|pending
1966|harbor|west|pump|61|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 1368
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1373
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1375
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1379
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1380
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1389
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1391
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1392
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1395
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1398
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1440
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1660
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 2120
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 2206
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 2257
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 2265
}
}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1conf — · — · — · — 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 (183 records, format: id|customer|region|item|qty|status):
```
1869|gale|north|valve|24|held
1700|juno|east|panel|91|held
1710|ionic|north|rotor|84|held
1425|gale|north|pump|95|held
1642|harbor|north|pump|37|held
1943|birch|south|rotor|66|pending
1803|gale|south|cable|56|pending
2028|cobalt|south|valve|18|held
1967|harbor|south|cable|79|paid
1408|gale|east|frame|51|pending
1486|birch|east|panel|85|shipped
1380|harbor|east|cable|23|shipped
1705|harbor|south|frame|91|held
1841|ember|east|pump|86|shipped
1478|birch|north|sensor|81|pending
1933|acme|east|sensor|26|shipped
1464|ionic|west|rotor|75|shipped
1513|ionic|south|panel|51|pending
1729|fulton|south|panel|60|pending
1783|ember|south|gasket|48|paid
1655|acme|north|rotor|87|shipped
1978|fulton|east|panel|27|held
1714|harbor|east|gasket|70|held
1360|ember|north|pump|87|shipped
1844|ember|north|rotor|22|pending
1769|harbor|east|panel|82|pending
2034|gale|north|sensor|27|held
1648|ember|north|gasket|96|paid
1762|juno|south|frame|38|held
1753|harbor|north|rotor|88|shipped
1766|dorian|west|cable|62|held
1388|gale|south|panel|23|pending
1306|dorian|east|pump|50|pending
1506|harbor|south|cable|50|held
1522|ionic|south|frame|95|paid
1751|dorian|east|rotor|27|paid
2032|dorian|north|frame|38|paid
1721|ionic|west|sensor|54|paid
1757|ember|east|valve|45|held
1667|gale|east|panel|26|paid
1859|ember|south|panel|61|pending
1722|birch|north|pump|29|paid
1618|juno|east|pump|73|shipped
1823|harbor|west|sensor|19|pending
1352|ionic|west|gasket|73|held
1335|ionic|north|cable|13|pending
1349|fulton|west|cable|89|shipped
1403|dorian|south|rotor|28|shipped
1445|cobalt|north|sensor|67|paid
1707|dorian|east|cable|99|pending
1643|juno|south|pump|36|shipped
1793|cobalt|west|pump|43|shipped
1586|ionic|south|sensor|19|shipped
1675|ionic|south|valve|60|shipped
1384|birch|north|rotor|19|held
1960|harbor|west|valve|71|held
1299|dorian|west|sensor|34|shipped
1723|acme|east|sensor|97|held
1772|cobalt|north|rotor|95|paid
1670|dorian|north|valve|92|paid
1333|dorian|west|pump|80|paid
1450|gale|north|sensor|59|held
1476|dorian|south|valve|27|paid
1535|ember|north|pump|62|shipped
1770|cobalt|east|sensor|80|pending
1636|ionic|west|panel|54|paid
1995|acme|north|sensor|63|paid
1903|birch|west|panel|69|paid
1571|dorian|north|panel|90|pending
1920|ember|north|sensor|88|shipped
1637|gale|east|cable|20|held
1405|juno|west|sensor|60|paid
1972|harbor|south|rotor|78|shipped
1498|ionic|east|valve|94|held
1864|ember|east|panel|84|shipped
1739|ionic|east|rotor|74|paid
1787|juno|west|panel|96|held
1552|acme|west|cable|43|pending
1919|fulton|east|gasket|71|paid
2003|birch|east|pump|65|paid
1452|harbor|south|rotor|78|held
1697|acme|west|panel|28|shipped
1547|juno|east|pump|72|shipped
1485|harbor|north|panel|89|held
2000|gale|south|gasket|61|paid
1514|birch|north|gasket|70|shipped
1607|ionic|east|valve|11|shipped
1936|fulton|east|valve|12|paid
1926|harbor|east|panel|76|held
1511|birch|south|frame|53|paid
2024|acme|north|cable|10|held
2018|juno|south|sensor|10|shipped
1683|ionic|north|valve|13|held
1807|gale|east|gasket|90|held
1526|dorian|east|panel|53|shipped
1691|juno|south|sensor|60|paid
1901|acme|north|cable|32|pending
1311|dorian|west|cable|35|pending
1887|birch|east|panel|92|paid
1563|ember|south|sensor|98|pending
1461|gale|east|pump|88|pending
1393|ionic|east|cable|26|paid
2012|fulton|west|valve|32|pending
1332|dorian|south|rotor|61|pending
1689|ionic|west|valve|54|paid
1979|ember|south|frame|30|paid
1533|dorian|south|cable|13|pending
1373|juno|west|valve|70|pending
1942|gale|north|pump|11|shipped
1950|cobalt|south|sensor|38|shipped
1491|dorian|east|sensor|16|shipped
1660|fulton|west|valve|60|shipped
1676|cobalt|east|frame|78|pending
1501|acme|east|cable|42|shipped
1614|ionic|east|pump|88|shipped
1989|birch|north|cable|21|held
1625|birch|east|sensor|83|held
1541|birch|south|panel|96|held
1835|ember|west|gasket|37|pending
1441|ionic|north|gasket|43|paid
1404|dorian|west|valve|38|held
1654|juno|north|rotor|10|paid
1521|dorian|south|valve|23|shipped
1665|birch|north|rotor|95|held
1323|dorian|west|panel|63|held
1481|cobalt|north|pump|61|shipped
1779|birch|east|pump|42|pending
1436|gale|north|sensor|82|shipped
1309|dorian|west|cable|81|shipped
2031|ember|east|rotor|63|pending
1317|dorian|east|sensor|50|pending
1353|fulton|west|sensor|71|shipped
1736|acme|east|valve|14|held
1415|acme|east|cable|63|shipped
1900|juno|south|panel|68|pending
1400|dorian|west|sensor|43|paid
1910|ionic|south|cable|32|held
1850|ionic|west|rotor|42|pending
2008|fulton|south|panel|61|shipped
1594|gale|west|sensor|68|held
1301|dorian|west|valve|57|pending
1295|dorian|east|valve|84|pending
1558|ionic|north|gasket|54|shipped
1289|dorian|west|cable|33|pending
1458|birch|north|valve|21|paid
1599|dorian|south|cable|91|shipped
1422|fulton|west|gasket|50|pending
1694|acme|west|valve|24|paid
1330|dorian|west|cable|70|pending
1733|harbor|west|pump|60|paid
1882|cobalt|west|pump|88|pending
2015|gale|north|panel|45|pending
1471|juno|east|gasket|79|paid
1876|dorian|west|gasket|37|paid
1529|ember|south|rotor|92|paid
1958|cobalt|south|cable|17|paid
1603|ember|west|cable|79|pending
1583|gale|north|frame|52|held
1580|birch|north|rotor|69|pending
1584|harbor|north|gasket|25|pending
1871|birch|south|frame|96|shipped
1429|juno|south|gasket|58|pending
1854|gale|south|sensor|98|held
1956|birch|north|sensor|19|shipped
1565|fulton|south|pump|93|pending
1715|harbor|east|valve|82|paid
1830|dorian|west|cable|94|shipped
1568|dorian|north|valve|87|held
1800|birch|east|sensor|58|paid
1646|dorian|north|sensor|33|paid
1983|cobalt|south|rotor|88|pending
1894|cobalt|west|cable|78|paid
1588|juno|north|valve|66|pending
1367|birch|north|sensor|78|shipped
1917|birch|south|rotor|61|held
1836|gale|north|sensor|60|pending
1821|ember|north|frame|44|pending
1814|acme|east|sensor|65|held
1629|ember|west|frame|93|pending
1786|dorian|east|sensor|38|pending
1745|gale|north|valve|78|pending
1578|fulton|west|panel|51|shipped
1342|fulton|west|rotor|20|shipped
```
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 > 52, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.deploy-v1conf 95% · 232ms · $0.002 · 145 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- auth-svc: billing
- billing: reports
- search: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "reports"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "billing"
}
},
{
"tool": "health_check",
"args": {
"service": "billing"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
}
]wrongagentic.tools.ledger-v1conf 99% · 605ms · $0.003 · 222 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: $551
- tango: $254
- echo: $822
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $398 from "echo" to "tango"
2. pay $201 from "tango" to "bravo"
3. pay $234 from "tango" to "echo"
4. pay $117 from "tango" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "tango",
"amount": 398
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 201
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 117
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "echo",
"amount": 234
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 117
}
}
]wrongagentic.tools.triage-v1conf 95% · 442ms · $0.005 · 323 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → tanaka
- payments → haddad
- data → okafor
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 2)
2. "uploads failing intermittently" (category: infra, priority 2)
3. "records missing after import" (category: data, priority 3)
4. "webhooks not delivered" (category: infra, 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": "uploads failing intermittently",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-1",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "tanaka"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 661ms · $0.011 · 315 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 (159 records, format: id|customer|region|item|qty|status):
```
1401|gale|west|rotor|22|pending
1495|fulton|south|frame|89|held
1603|birch|west|rotor|37|pending
1914|ionic|west|sensor|92|pending
1838|dorian|south|valve|76|pending
1510|gale|west|pump|62|shipped
1828|gale|north|panel|38|held
1458|acme|north|rotor|92|paid
1424|gale|south|sensor|58|shipped
1434|gale|west|cable|15|pending
1875|harbor|north|valve|67|held
2053|harbor|south|gasket|54|paid
1452|ember|east|valve|97|paid
1746|juno|north|frame|45|pending
1589|ember|south|rotor|94|shipped
1610|juno|south|sensor|39|paid
1683|cobalt|west|gasket|94|pending
1796|gale|east|rotor|56|shipped
1803|acme|east|pump|68|pending
1748|harbor|west|gasket|53|pending
1633|ionic|south|frame|12|paid
1493|gale|west|sensor|11|paid
1601|dorian|west|sensor|48|shipped
1605|birch|west|rotor|35|pending
1447|harbor|east|rotor|63|shipped
1852|fulton|east|panel|75|pending
1445|ember|west|valve|98|shipped
1387|gale|south|cable|92|pending
1970|cobalt|north|gasket|87|pending
1877|ember|north|panel|71|held
1865|fulton|north|sensor|60|pending
1626|gale|north|cable|96|shipped
1638|birch|west|frame|67|shipped
1732|juno|east|frame|98|held
1408|gale|south|frame|44|paid
1597|dorian|south|sensor|82|held
1996|ionic|south|panel|72|shipped
1670|gale|west|pump|99|shipped
1904|harbor|west|gasket|61|paid
1388|gale|north|pump|26|pending
1635|gale|east|rotor|55|shipped
2059|harbor|north|frame|92|held
1907|dorian|west|panel|94|pending
2012|ionic|east|pump|50|paid
1784|ionic|north|gasket|90|paid
2035|harbor|south|panel|63|shipped
1814|gale|east|rotor|50|paid
1708|ember|south|valve|33|paid
1737|juno|east|sensor|62|shipped
1391|gale|south|valve|92|paid
2066|dorian|west|pump|56|shipped
2020|fulton|south|valve|91|pending
1935|dorian|south|gasket|94|pending
2038|harbor|east|panel|22|pending
1890|ember|west|pump|21|pending
1517|juno|east|valve|33|paid
1469|acme|west|frame|22|shipped
1382|gale|south|panel|18|paid
1762|gale|west|frame|24|pending
1883|harbor|north|panel|77|held
1530|fulton|south|panel|28|paid
2026|harbor|east|gasket|99|shipped
1960|gale|west|cable|26|paid
1777|dorian|west|frame|62|held
1842|dorian|east|gasket|82|paid
1483|ember|west|valve|39|held
1657|dorian|north|cable|87|paid
2061|gale|south|valve|85|pending
1965|cobalt|north|rotor|36|pending
1654|acme|east|pump|95|paid
1773|harbor|west|cable|45|pending
2009|gale|north|pump|51|shipped
1984|ionic|east|pump|27|shipped
1942|acme|north|frame|80|shipped
2058|acme|north|valve|12|pending
1734|birch|east|gasket|49|pending
2002|juno|east|gasket|18|paid
1560|gale|south|rotor|94|shipped
2047|juno|east|gasket|37|shipped
2016|harbor|west|cable|84|paid
1579|ember|south|panel|29|held
1845|ionic|west|cable|12|pending
1575|dorian|south|valve|14|held
1617|fulton|east|valve|36|held
1720|acme|south|rotor|50|shipped
1503|dorian|north|valve|65|held
2011|acme|north|cable|23|held
1973|harbor|west|valve|70|pending
1948|ionic|east|panel|80|pending
1851|acme|west|valve|96|pending
1465|harbor|east|pump|84|pending
2045|fulton|west|frame|99|pending
1431|gale|south|cable|53|pending
1755|dorian|north|cable|10|held
1808|ionic|south|gasket|57|pending
1538|dorian|south|cable|41|held
1586|ember|south|panel|56|pending
1868|ember|west|rotor|89|shipped
1928|harbor|west|valve|34|held
1930|ember|south|valve|54|paid
1726|cobalt|east|panel|48|held
1376|gale|north|panel|49|pending
1824|harbor|north|rotor|63|paid
1553|birch|east|pump|28|paid
1926|fulton|west|frame|54|held
1695|gale|east|gasket|69|shipped
1595|cobalt|east|gasket|44|shipped
1572|ember|south|valve|49|held
1419|gale|north|panel|23|pending
1394|gale|south|frame|52|pending
1701|gale|south|panel|62|held
1785|harbor|west|rotor|18|held
1790|ember|north|gasket|19|held
1719|harbor|east|gasket|18|pending
1488|gale|south|rotor|38|paid
1648|gale|west|gasket|84|held
1594|ionic|west|cable|45|paid
1497|fulton|west|cable|26|shipped
1688|juno|north|gasket|23|shipped
1834|ember|south|valve|85|shipped
1640|juno|north|gasket|52|held
1604|birch|south|sensor|49|paid
1791|birch|south|panel|62|pending
1966|ember|west|valve|79|paid
1451|ember|west|frame|41|shipped
1822|cobalt|north|sensor|33|pending
1978|birch|south|rotor|33|shipped
1898|ionic|east|panel|95|shipped
2031|cobalt|west|cable|21|held
1663|acme|east|gasket|44|shipped
1769|juno|south|cable|90|shipped
1739|gale|west|sensor|81|pending
1937|fulton|west|panel|29|shipped
1859|gale|south|frame|13|paid
1820|juno|north|pump|44|shipped
1917|juno|east|cable|30|held
1643|harbor|south|sensor|61|shipped
1522|ionic|east|sensor|69|shipped
1713|ionic|north|sensor|23|shipped
2042|ember|west|panel|39|paid
1369|gale|south|frame|12|pending
1567|cobalt|north|rotor|94|paid
1953|dorian|west|cable|59|held
1920|acme|north|rotor|16|pending
1622|gale|east|valve|87|held
1441|gale|south|panel|55|held
1476|cobalt|south|panel|86|shipped
1676|gale|east|valve|12|shipped
1897|fulton|north|gasket|78|held
1545|acme|east|pump|57|held
1412|gale|south|gasket|73|pending
1527|dorian|north|valve|43|paid
1471|dorian|north|pump|89|paid
1533|acme|west|cable|23|shipped
1962|birch|east|rotor|68|held
1991|ionic|north|rotor|85|held
2003|fulton|south|rotor|66|held
1857|acme|west|frame|56|shipped
1552|ember|east|pump|97|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 22
}
},
{
"tool": "restock",
"args": {
"item": "sensor",
"qty": 58
}
},
{
"tool": "restock",
"args": {
"item": "cable",
"qty": 92
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 44
}
},
{
"tool": "restock",
"args": {
"item": "panel",
"qty": 18
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 52
}
},
{
"tool": "restock",
"args": {
"item": "panel",
"qty": 62
}
},
{
"tool": "restock",
"args": {
"item": "frame",
"qty": 12
}
},
{
"tool": "restock",
"args": {
"item": "valve",
"qty": 85
}
}
]correctagentic.tools.deploy-v1conf 95% · 265ms · $0.002 · 143 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- search: notifier
- notifier: gateway
- billing: 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 "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": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "billing"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "health_check",
"args": {
"service": "notifier"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1conf — · — · — · — 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 (239 records, format: id|customer|region|item|qty|status):
```
2049|harbor|south|gasket|58|held
2079|harbor|east|rotor|24|pending
2128|fulton|north|sensor|36|pending
1962|gale|north|panel|32|held
2118|juno|south|panel|75|paid
1663|acme|east|rotor|23|paid
1439|cobalt|south|valve|53|held
2257|acme|west|cable|26|shipped
1766|acme|north|cable|69|paid
1626|birch|west|panel|87|pending
1653|ionic|east|gasket|11|shipped
1964|cobalt|east|valve|70|pending
2105|gale|north|panel|32|held
1556|cobalt|north|rotor|77|held
1390|dorian|south|pump|90|paid
1790|birch|north|sensor|75|held
1558|cobalt|north|rotor|92|paid
2037|birch|west|panel|15|shipped
2158|acme|south|panel|45|shipped
1593|harbor|east|panel|86|pending
2263|harbor|north|sensor|57|shipped
1878|ember|north|cable|69|paid
1687|ionic|south|gasket|31|paid
2295|dorian|south|cable|68|held
2011|gale|east|pump|80|held
2271|cobalt|west|sensor|15|held
1622|cobalt|south|valve|47|paid
1699|ember|west|valve|49|held
2053|juno|east|frame|64|held
1475|juno|east|pump|66|pending
1858|ionic|west|rotor|51|pending
1871|cobalt|west|panel|31|held
2043|harbor|south|frame|51|shipped
1641|gale|north|valve|64|shipped
1924|cobalt|east|rotor|92|pending
1928|ionic|west|valve|45|held
1915|acme|east|pump|57|paid
1621|ember|east|gasket|56|paid
1611|birch|west|pump|36|paid
2028|ember|west|gasket|51|held
2046|fulton|south|rotor|52|paid
2159|ember|south|valve|87|pending
2181|juno|west|sensor|21|shipped
1936|fulton|north|panel|98|shipped
1897|harbor|north|pump|13|paid
1492|cobalt|north|pump|98|shipped
1948|fulton|west|sensor|36|paid
1908|harbor|east|cable|20|paid
1886|fulton|west|rotor|90|shipped
2214|fulton|north|pump|78|paid
1763|juno|north|gasket|30|held
2035|birch|east|pump|21|paid
1942|ember|south|valve|70|paid
1862|juno|south|pump|34|paid
2166|harbor|west|rotor|97|paid
1575|acme|north|cable|80|held
1461|acme|south|panel|58|held
2114|gale|west|frame|85|held
1989|dorian|east|frame|73|held
2060|fulton|west|cable|84|pending
1428|gale|east|sensor|80|pending
1818|acme|east|panel|62|shipped
1827|ionic|east|gasket|44|pending
2232|dorian|west|panel|60|pending
1409|dorian|north|pump|86|pending
1786|juno|south|sensor|48|held
1754|ionic|north|valve|59|held
1686|gale|north|sensor|16|pending
2151|acme|south|panel|85|shipped
1970|harbor|west|valve|87|shipped
1887|ember|north|cable|52|held
1927|ember|north|rotor|88|paid
1464|dorian|east|valve|65|pending
2143|acme|east|panel|67|pending
2136|ember|west|sensor|75|held
2315|ember|south|pump|11|shipped
1519|juno|west|frame|57|held
1446|acme|north|panel|11|paid
1374|dorian|east|sensor|14|pending
1640|acme|north|pump|48|paid
1901|harbor|north|gasket|94|held
1395|dorian|south|cable|94|pending
1712|ionic|east|rotor|99|held
1660|birch|east|gasket|90|paid
1384|dorian|north|gasket|69|pending
2073|birch|west|rotor|41|shipped
2277|dorian|east|frame|53|shipped
1879|ionic|south|gasket|66|held
2296|birch|south|panel|17|held
1833|dorian|south|panel|35|pending
2205|dorian|north|cable|30|held
2201|acme|north|sensor|53|held
1722|acme|west|rotor|33|paid
1719|birch|west|gasket|49|pending
1532|juno|east|pump|61|pending
1632|ionic|north|cable|27|held
2241|juno|west|rotor|41|paid
2048|acme|west|sensor|28|pending
1531|ember|west|valve|15|pending
1727|acme|east|valve|60|pending
1848|acme|west|sensor|24|paid
1955|ember|south|cable|23|paid
2297|dorian|east|sensor|97|pending
2187|acme|west|panel|15|pending
2064|birch|south|rotor|84|held
1455|cobalt|north|gasket|33|paid
2099|ionic|west|cable|13|pending
1651|ember|east|cable|18|held
1926|cobalt|south|cable|14|pending
1535|juno|south|pump|71|paid
2291|acme|north|sensor|70|paid
2093|harbor|east|panel|45|paid
1777|ionic|north|frame|15|shipped
1783|gale|north|cable|37|paid
2174|ionic|north|pump|26|paid
1975|dorian|north|gasket|45|pending
2212|ember|east|sensor|96|paid
1869|harbor|north|sensor|66|paid
1967|fulton|north|cable|57|pending
2147|cobalt|south|pump|59|pending
1585|harbor|east|frame|43|paid
2110|ionic|west|panel|75|shipped
1813|cobalt|south|cable|69|pending
1842|cobalt|north|pump|45|pending
2236|dorian|west|cable|42|paid
1518|fulton|west|frame|62|pending
2165|ionic|north|cable|13|held
1629|dorian|east|sensor|12|held
1473|juno|east|pump|45|held
1835|harbor|south|rotor|61|shipped
1547|gale|east|sensor|48|pending
1996|gale|south|pump|11|held
1485|ember|south|frame|10|paid
1448|juno|west|valve|24|shipped
2134|ember|south|rotor|17|pending
1422|juno|west|frame|26|shipped
1739|fulton|north|valve|52|held
1808|cobalt|west|frame|34|paid
2091|cobalt|south|rotor|70|held
2196|ionic|east|valve|52|shipped
2267|gale|east|rotor|84|shipped
1371|dorian|south|frame|64|pending
1605|birch|south|rotor|66|shipped
2262|juno|north|gasket|32|held
1669|acme|west|rotor|27|pending
1889|gale|north|gasket|26|paid
1514|gale|north|frame|52|paid
1676|gale|north|pump|69|pending
1693|birch|south|pump|70|pending
1772|fulton|east|valve|37|held
1540|gale|north|sensor|64|pending
1470|fulton|east|frame|16|pending
2144|harbor|east|rotor|83|held
2194|harbor|north|gasket|28|paid
1756|acme|north|gasket|72|paid
2308|birch|south|rotor|45|shipped
1940|birch|west|frame|38|shipped
2020|birch|west|gasket|56|shipped
2311|ionic|east|valve|27|pending
1933|dorian|east|gasket|74|held
2117|gale|east|pump|86|pending
1589|birch|west|sensor|55|paid
1750|ionic|north|rotor|51|paid
2293|ember|south|gasket|56|paid
1625|acme|north|valve|20|held
1628|gale|east|frame|27|pending
1584|ember|south|cable|74|shipped
1572|ember|west|cable|17|pending
1551|ionic|south|gasket|53|pending
1597|birch|east|gasket|20|paid
2220|harbor|south|frame|35|held
1503|cobalt|north|gasket|11|shipped
2223|dorian|south|panel|78|held
2253|cobalt|north|rotor|65|held
2298|ionic|west|valve|74|shipped
1743|harbor|north|rotor|11|shipped
1581|cobalt|east|frame|94|shipped
2169|ember|north|cable|40|shipped
1732|ember|west|valve|14|shipped
1917|ember|east|pump|20|paid
1602|cobalt|south|valve|29|shipped
1820|fulton|north|rotor|77|held
2238|cobalt|east|cable|73|pending
2284|harbor|west|rotor|50|shipped
1776|cobalt|north|valve|59|paid
1984|dorian|south|sensor|69|held
1638|dorian|east|rotor|49|pending
1679|cobalt|south|valve|34|paid
2231|harbor|west|rotor|10|pending
1802|ionic|west|sensor|56|held
1850|ionic|south|frame|95|held
1728|fulton|east|pump|89|shipped
1498|dorian|south|cable|20|pending
2121|harbor|west|cable|90|shipped
2326|gale|north|sensor|78|shipped
2230|juno|west|frame|17|paid
1569|birch|west|sensor|28|held
1853|gale|north|sensor|80|paid
2001|juno|east|valve|76|pending
1380|dorian|south|frame|68|shipped
2312|ionic|north|panel|92|pending
1382|dorian|south|panel|35|pending
2026|acme|north|rotor|68|shipped
1644|birch|east|panel|95|pending
1460|fulton|west|sensor|92|held
1480|harbor|south|pump|72|shipped
1416|dorian|south|valve|46|held
2033|harbor|north|rotor|58|held
1916|harbor|north|rotor|95|shipped
1424|birch|east|gasket|71|held
2084|dorian|north|gasket|63|pending
1809|dorian|south|gasket|99|paid
1979|ember|east|panel|64|held
2322|cobalt|east|frame|71|shipped
1513|dorian|south|cable|10|pending
1406|dorian|south|rotor|52|pending
1615|birch|east|frame|69|held
1797|harbor|north|rotor|66|pending
1565|harbor|west|frame|23|paid
1893|ember|east|pump|99|paid
1399|dorian|north|gasket|52|pending
1402|dorian|south|pump|40|paid
2140|ember|north|sensor|75|pending
1432|fulton|east|frame|60|pending
1832|harbor|south|rotor|59|pending
1507|juno|south|sensor|31|pending
2004|harbor|west|pump|63|pending
1866|ember|east|panel|15|shipped
2018|harbor|east|frame|12|paid
1875|birch|south|pump|22|pending
1525|ionic|north|gasket|34|shipped
2069|harbor|north|panel|75|pending
1568|ember|east|valve|32|held
2162|cobalt|west|panel|78|paid
1467|birch|south|valve|57|pending
2304|acme|east|frame|80|pending
2248|fulton|north|frame|79|held
1706|gale|north|cable|95|shipped
2123|juno|east|panel|51|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf 99% · 315ms · $0.003 · 222 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: $263
- oscar: $394
- echo: $246
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $218 from "oscar" to "bravo"
2. pay $219 from "echo" to "oscar"
3. pay $377 from "bravo" to "oscar"
4. pay $97 from "oscar" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "bravo",
"amount": 218
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "oscar",
"amount": 219
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "bravo",
"amount": 111
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "oscar",
"amount": 377
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "bravo",
"amount": 97
}
}
]wrongagentic.tools.triage-v1conf 99% · 546ms · $0.004 · 249 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → dubois
- auth → rivera
- infra → haddad
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "locked out after 2FA change" (category: auth, priority 2)
3. "locked out after 2FA change" (category: auth, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 7
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-3"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "rivera"
}
}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1anchorconf — · — · — · — tok
model answer:
(none extracted)correctagentic.tools.deploy-v1conf 95% · 241ms · $0.002 · 145 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc, search
- auth-svc: (none)
- reports: auth-svc, search
- search: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
},
{
"tool": "health_check",
"args": {
"service": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "billing"
}
},
{
"tool": "deploy",
"args": {
"service": "reports"
}
}
]wrongagentic.tools.ledger-v1conf 99% · 317ms · $0.004 · 297 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: $460
- lima: $132
- delta: $784
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $118 from "delta" to "lima"
2. pay $448 from "lima" to "delta"
3. pay $97 from "tango" to "delta"
4. pay $529 from "tango" to "delta"
5. pay $142 from "delta" 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": "delta",
"to": "lima",
"amount": 118
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "delta",
"amount": 448
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 97
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "delta",
"amount": 97
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 529
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "delta",
"amount": 529
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "tango",
"amount": 142
}
}
]correctagentic.tools.triage-v1conf 99% · 478ms · $0.005 · 385 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 → okafor
- auth → dubois
- infra → haddad
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 9)
2. "locked out after 2FA change" (category: auth, priority 9)
3. "card declined at checkout" (category: payments, priority 9)
4. "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": "card declined at checkout",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "okafor"
}
}
]correctagentic.tools.deploy-v1conf 95% · 915ms · $0.002 · 143 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: billing, search
- search: billing
- notifier: gateway, search
- billing: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "billing"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
},
{
"tool": "health_check",
"args": {
"service": "search"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
}
]wrongagentic.tools.ledger-v1conf 99% · 391ms · $0.004 · 259 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $779
- oscar: $822
- bravo: $443
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $327 from "delta" to "bravo"
2. pay $432 from "delta" to "bravo"
3. pay $406 from "delta" to "oscar"
4. pay $170 from "bravo" to "delta"
5. pay $95 from "bravo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 327
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 432
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 41
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "oscar",
"amount": 406
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "delta",
"amount": 170
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "oscar",
"amount": 95
}
}
]correctagentic.tools.triage-v1conf 95% · 316ms · $0.005 · 355 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 → novak
- data → dubois
- infra → chen
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 2)
2. "records missing after import" (category: data, priority 7)
3. "records missing after import" (category: data, priority 7)
4. "locked out after 2FA change" (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": "locked out after 2FA change",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 7
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 7
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-4"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "novak"
}
}
]correctagentic.tools.deploy-v1anchorconf 95% · 207ms · $0.002 · 145 tok
model answer:
[
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "health_check",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "reports"
}
}
]correctagentic.tools.triage-v1anchorconf 99% · 357ms · $0.005 · 348 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 99% · 354ms · $0.005 · 338 tok
model answer:
[
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 451
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "delta",
"amount": 292
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 97
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "tango",
"amount": 97
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 540
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 540
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 125
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 125
}
}
]code 5/30 correct
wrongcode.trace.nested-v1conf 100% · 259ms · $0.014 · 1321 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
127correctcode.trace.js-v1conf 100% · 378ms · $0.002 · 171 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7]; 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:
18wrongcode.trace.nested-v1conf 100% · 253ms · $0.005 · 486 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
36wrongcode.trace.python-v1conf 100% · 209ms · $0.000 · 16 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 8
while total + v <= 103:
if v % 3 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
103wrongcode.trace.js-v1conf 100% · 233ms · $0.001 · 54 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 6) .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:
270wrongcode.trace.nested-v1conf 100% · 217ms · $0.010 · 957 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, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
69wrongcode.trace.python-v1conf 100% · 236ms · $0.000 · 15 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 2
while total + v <= 92:
if v % 6 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84wrongcode.trace.nested-v1conf 100% · 232ms · $0.019 · 1835 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 == 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:
200correctcode.trace.js-v1conf 100% · 354ms · $0.002 · 200 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; const out = arr .map(n => n * 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:
84wrongcode.trace.python-v1conf 100% · 253ms · $0.000 · 16 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 15
while total + v <= 99:
if v % 3 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
104wrongcode.trace.nested-v1conf 100% · 248ms · $0.005 · 465 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, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
100wrongcode.trace.js-v1conf 100% · 202ms · $0.003 · 211 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
330wrongcode.trace.python-v1conf 100% · 210ms · $0.002 · 180 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 55:
if v % 6 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
55wrongcode.trace.js-v1conf 100% · 245ms · $0.003 · 234 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 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:
196wrongcode.trace.nested-v1conf 100% · 1.0s · $0.012 · 1185 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
100wrongcode.trace.python-v1conf 100% · 230ms · $0.000 · 15 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 9
while total + v <= 31:
if v % 7 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
17wrongcode.trace.nested-v1conf 100% · 227ms · $0.011 · 1083 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
281correctcode.trace.js-v1conf 100% · 227ms · $0.002 · 152 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60correctcode.trace.python-v1conf 100% · 246ms · $0.004 · 366 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 109:
if v % 4 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
79wrongcode.trace.js-v1conf 100% · 231ms · $0.001 · 77 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; const out = arr .map(n => n * 6) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150wrongcode.trace.python-v1conf 100% · 215ms · $0.003 · 303 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 8
while total + v <= 61:
if v % 7 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
74wrongcode.trace.nested-v1conf 100% · 220ms · $0.007 · 661 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) % 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:
265wrongcode.trace.js-v1conf 100% · 412ms · $0.002 · 113 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 2) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
120wrongcode.trace.nested-v1conf 100% · 210ms · $0.008 · 726 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
28wrongcode.trace.python-v1conf 100% · 248ms · $0.005 · 437 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 82:
if v % 4 != 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:
88wrongcode.trace.js-v1conf 100% · 402ms · $0.001 · 65 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10]; const out = arr .map(n => n * 6) .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:
150wrongcode.trace.python-v1anchorconf 100% · 1.8s · $0.005 · 452 tok
model answer:
144wrongcode.trace.nested-v1anchorconf 100% · 225ms · $0.011 · 1052 tok
model answer:
100wrongcode.trace.python-v1anchorconf 100% · 226ms · $0.003 · 224 tok
model answer:
48correctcode.trace.js-v1anchorconf 100% · 205ms · $0.002 · 192 tok
model answer:
63instruction following 14/30 correct
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "ember" and the last word must be "lumen". 3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.constraints.stack-v1conf 100% · 554ms · $0.001 · 58 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "lumen" and the last word must be "flint". 3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen, a falcon, soars over the ancient machine, its gears turning with the power of flint.wrongif.format.acronym-v1conf 100% · 207ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: ember, lumen, nova, falcon, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MNVCSwrongif.constraints.stack-v1conf 100% · 224ms · $0.001 · 55 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "comet" and the last word must be "echo". 3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet, the sea, a cedar ship, sails, cedar-scented, cedar echo.correctif.format.repeat-v1conf 100% · 209ms · $0.001 · 32 tok
question
Write the word "ember" 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:
EMBER/EMBER/EMBER/EMBER/EMBER/EMBER/EMBERwrongif.format.acronym-v1conf 100% · 215ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: nova, delta, comet, zephyr, 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:
TMOIRcorrectif.format.repeat-v1conf 100% · 215ms · $0.001 · 35 tok
question
Write the word "echo" in capitalized 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:
ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHOcorrectif.format.repeat-v1conf 100% · 560ms · $0.000 · 19 tok
question
Write the word "basalt" in lowercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
basalt_basalt_basaltwrongif.format.acronym-v1conf 100% · 234ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: flint, nova, echo, falcon, quartz, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FNECFQwrongif.constraints.stack-v1conf 100% · 600ms · $0.001 · 71 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "tundra" 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:
tundra echoes, a silent morning.wrongif.constraints.stack-v1conf 100% · 255ms · $0.001 · 42 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 "quartz" and the last word must be "delta". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz echoes through the ancient machine, a forgotten relic in the delta.correctif.format.acronym-v1conf 100% · 232ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: nova, zephyr, ember, comet, quartz, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NZECQCcorrectif.format.repeat-v1conf 100% · 232ms · $0.001 · 32 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.constraints.stack-v1conf 100% · 225ms · $0.001 · 70 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "zephyr" and the last word must be "flint". 3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "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, a comet, streaks across the sky, guiding me on my journey. i follow, a comet, to the flint.wrongif.format.acronym-v1conf 100% · 10.0s · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: delta, lumen, tundra, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LTAEcorrectif.format.acronym-v1conf 100% · 229ms · $0.000 · 14 tok
question
Take the first letter of each of these words, in order: lumen, comet, echo, 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:
LCETcorrectif.format.repeat-v1conf 100% · 219ms · $0.001 · 32 tok
question
Write the word "flint" 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:
FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINTwrongif.constraints.stack-v1conf 100% · 226ms · $0.001 · 56 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "prism" and the last word must be "flint". 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:
prism of winter mornings, basalt and flint,correctif.format.repeat-v1conf 100% · 213ms · $0.000 · 25 tok
question
Write the word "quartz" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz_quartz_quartz_quartz_quartz_quartz_quartzwrongif.constraints.stack-v1conf 100% · 217ms · $0.001 · 69 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "falcon" and the last word must be "drift". 3. Use the word "delta" 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:
falcon's delta, a city's heart, beats in the dark. neon lights, a river's delta, flow. shadows drift.wrongif.format.acronym-v1conf 100% · 209ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: zephyr, ember, delta, basalt, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EEDBPcorrectif.format.repeat-v1conf 100% · 226ms · $0.000 · 19 tok
question
Write the word "delta" 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:
DELTA-DELTA-DELTA-DELTAwrongif.format.acronym-v1conf 100% · 226ms · $0.000 · 14 tok
question
Take the first letter of each of these words, in order: lumen, echo, ember, delta, zephyr, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LEDZBwrongif.constraints.stack-v1conf 100% · 209ms · $0.001 · 67 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "comet" and the last word must be "zephyr". 3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet's tail, a city's skyline, glitters like flint. the wind's breath, a cool flint zephyr.correctif.format.repeat-v1conf 100% · 243ms · $0.001 · 29 tok
question
Write the word "cedar" 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:
CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDARcorrectif.format.acronym-v1conf 100% · 226ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: comet, nova, orbit, drift, tundra, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CNODTFcorrectif.format.repeat-v1anchorconf 100% · 224ms · $0.001 · 35 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOwrongif.constraints.stack-v1anchorconf 100% · 227ms · $0.001 · 66 tok
model answer:
drift through the city, a lumen in the dark. neon lights, a lumen glow, guide me. i orbit.correctif.format.repeat-v1anchorconf 100% · 225ms · $0.001 · 36 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 225ms · $0.000 · 14 tok
model answer:
ZDFQknowledge 27/30 correct
correctknowledge.fr.factbank-v2conf 100% · 222ms · $0.000 · 15 tok
question
Name the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 495ms · $0.000 · 14 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 248ms · $0.000 · 16 tok
question
Identify the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 231ms · $0.000 · 14 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 100% · 220ms · $0.000 · 13 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 100% · 209ms · $0.000 · 13 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 100% · 241ms · $0.000 · 13 tok
question
What is the chemical element with symbol Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 219ms · $0.000 · 17 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% · 214ms · $0.000 · 13 tok
question
Name the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 209ms · $0.000 · 13 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 222ms · $0.000 · 15 tok
question
Identify 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 Bulgakovwrongknowledge.fr.factbank-v2conf 100% · 205ms · $0.000 · 13 tok
question
What is the Brazilian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasiliacorrectknowledge.fr.factbank-v2conf 100% · 193ms · $0.000 · 13 tok
question
Identify the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 204ms · $0.000 · 14 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 100% · 420ms · $0.000 · 13 tok
question
Identify 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% · 264ms · $0.000 · 14 tok
question
Name the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 195ms · $0.000 · 13 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 1.7s · $0.000 · 13 tok
question
Name the Swiss capital (de facto). Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 326ms · $0.000 · 15 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% · 699ms · $0.000 · 14 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 100% · 214ms · $0.000 · 13 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliawrongknowledge.fr.factbank-v2conf 100% · 221ms · $0.000 · 13 tok
question
What is the Brazilian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasiliacorrectknowledge.fr.factbank-v2conf 100% · 516ms · $0.000 · 13 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 223ms · $0.000 · 15 tok
question
Identify the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezwrongknowledge.fr.factbank-v2conf 100% · 222ms · $0.000 · 13 tok
question
Name the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasiliacorrectknowledge.fr.factbank-v2conf 100% · 227ms · $0.000 · 15 tok
question
Name the writer of the novel "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2anchorconf 100% · 261ms · $0.000 · 13 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 289ms · $0.000 · 14 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 336ms · $0.000 · 14 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 236ms · $0.000 · 13 tok
model answer:
Leadmath 12/30 correct
correctmath.algebra.system-v2conf 100% · 243ms · $0.005 · 510 tok
question
Solve the system, then answer the derived question. 6x + 9y = 75 3x − 5y = -238 What is the value of 2x − 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:
-178correctmath.chained.pipeline-v1conf 100% · 269ms · $0.002 · 130 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 76 × 64. Step 2: Q = P × 8 − 833. 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:
9522wrongmath.counterfactual.base-v1conf 100% · 212ms · $0.003 · 282 tok
question
Work strictly in base 8. Multiply the base-8 numbers 15 and 22. 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:
156wrongmath.percent.chain-v2conf 100% · 224ms · $0.002 · 131 tok
question
An inventory starts at 96000 units. The company was founded 111 kilometers from the port. In the first month the inventory grows by 41%. The warehouse was painted 178 years ago. The next month it shrinks by 8%, and the month after it grows by 5%. 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:
130758wrongmath.algebra.system-v2conf 100% · 234ms · $0.009 · 876 tok
question
Solve the system, then answer the derived question. 4x + 9y = 256 3x − 4y = -238 What is the value of 4x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
\frac{33337}{43}correctmath.arith.chain-v2conf 100% · 2.6s · $0.002 · 165 tok
question
Calculate the following. Show your reasoning, then answer. (((36 × 70 − 490) × 5 + 5889) − 82 × 63) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
21746correctmath.chained.pipeline-v1conf 100% · 232ms · $0.002 · 140 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 80 × 86. Step 2: Q = P × 6 − 327. 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:
10239wrongmath.counterfactual.base-v1conf 100% · 214ms · $0.002 · 205 tok
question
Work strictly in base 11. Add the base-11 numbers 195A and 227. 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:
3855wrongmath.percent.chain-v2conf 100% · 381ms · $0.002 · 136 tok
question
An inventory starts at 36000 units. The warehouse was painted 161 years ago. In the first month the inventory grows by 21%. The delivery van has a 151-liter fuel tank. The next month it shrinks by 41%, and the month after it grows by 45%. 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:
37264.13wrongmath.arith.chain-v2conf 100% · 223ms · $0.001 · 62 tok
question
Evaluate the expression below and give the result. (((94 × 36 − 733) × 9 + 5545) − 49 × 75) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
10000wrongmath.chained.pipeline-v1conf 100% · 245ms · $0.001 · 111 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 63 × 70. Step 2: Q = P × 4 − 129. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3508wrongmath.counterfactual.base-v1conf 100% · 212ms · $0.001 · 74 tok
question
Work strictly in base 13. Multiply the base-13 numbers 2B and 2B. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B01correctmath.algebra.system-v2conf 100% · 221ms · $0.004 · 381 tok
question
Solve the system, then answer the derived question. 9x + 8y = 26 8x − 9y = 442 What is the value of 6x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
286correctmath.percent.chain-v2conf 100% · 215ms · $0.002 · 164 tok
question
An inventory starts at 34000 units. A rival firm shipped 91 unrelated parcels the same week. In the first month the inventory grows by 34%. Each pallet weighs about 53 grams more when wet. The next month it shrinks by 32%, and the month after it grows by 45%. 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:
44,922.16 unitscorrectmath.arith.chain-v2conf 100% · 210ms · $0.002 · 200 tok
question
Compute the value of the following expression. (((30 × 37 − 217) × 7 + 7478) − 59 × 70) × 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:
67193wrongmath.counterfactual.base-v1conf 100% · 10.0s · $0.002 · 209 tok
question
Work strictly in base 7. Multiply the base-7 numbers 121 and 26. 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:
490correctmath.chained.pipeline-v1conf 100% · 227ms · $0.002 · 132 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 77 × 45. Step 2: Q = P × 5 − 601. 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:
1860correctmath.percent.chain-v2conf 100% · 255ms · $0.003 · 245 tok
question
An inventory starts at 53000 units. The company was founded 64 kilometers from the port. In the first month the inventory grows by 23%. A rival firm shipped 168 unrelated parcels the same week. The next month it shrinks by 41%, and the month after it grows by 38%. 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:
53,077.7wrongmath.algebra.system-v2conf 100% · 227ms · $0.006 · 587 tok
question
Solve the system, then answer the derived question. 3x + 7y = 143 4x − 3y = 18 What is the value of 6x − 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:
−58.56wrongmath.arith.chain-v2conf 100% · 232ms · $0.002 · 153 tok
question
Work out the exact value of this expression. (((25 × 52 − 301) × 3 + 4219) − 44 × 87) × 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:
-19580correctmath.chained.pipeline-v1conf 100% · 277ms · $0.002 · 135 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 13 × 45. Step 2: Q = P × 4 − 799. 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:
173wrongmath.counterfactual.base-v1conf 95% · 307ms · $0.002 · 185 tok
question
Work strictly in base 11. Add the base-11 numbers A62 and 1222. 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:
107585wrongmath.algebra.system-v2conf 100% · 248ms · $0.003 · 309 tok
question
Solve the system, then answer the derived question. 5x + 7y = -388 6x − 6y = 24 What is the value of 4x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
5.35926773455378wrongmath.percent.chain-v2conf 100% · 223ms · $0.002 · 130 tok
question
An inventory starts at 9000 units. The warehouse was painted 137 years ago. In the first month the inventory grows by 37%. A rival firm shipped 175 unrelated parcels the same week. The next month it shrinks by 19%, and the month after it grows by 23%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
12300.86wrongmath.arith.chain-v2conf 100% · 207ms · $0.002 · 150 tok
question
Work out the exact value of this expression. (((55 × 63 − 613) × 5 + 7813) − 50 × 54) × 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:
19373wrongmath.counterfactual.base-v1anchorconf 100% · 245ms · $0.003 · 239 tok
model answer:
4040_7wrongmath.chained.pipeline-v1conf 100% · 264ms · $0.001 · 110 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 74 × 57. Step 2: Q = P × 9 − 592. 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:
9494correctmath.arith.chain-v2anchorconf 100% · 1.0s · $0.002 · 175 tok
model answer:
108153correctmath.percent.chain-v2anchorconf 100% · 224ms · $0.002 · 175 tok
model answer:
61,896.52wrongmath.algebra.system-v2anchorconf 100% · 320ms · $0.003 · 258 tok
model answer:
109.29multilingual 10/30 correct
wrongmultilingual.wordnum-v1conf 100% · 224ms · $0.000 · 16 tok
question
A number is written in French: « cent neuf ». Another is written in Spanish: « seiscientos veintitrés ». 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:
722wrongmultilingual.numword-v2conf 100% · 220ms · $0.000 · 25 tok
question
Compute 345 + 151, 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 cincuenta y seiscorrectmultilingual.wordnum-v1conf 100% · 225ms · $0.000 · 17 tok
question
A number is written in French: « sept cent trente-quatre ». Another is written in Spanish: « cuatrocientos cuarenta 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:
1179wrongmultilingual.numword-v2conf 100% · 201ms · $0.000 · 28 tok
question
Compute 344 + 56, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent quatre-vingt-dixcorrectmultilingual.wordnum-v1conf 100% · 216ms · $0.000 · 16 tok
question
A number is written in French: « six cent trente-cinq ». Another is written in Spanish: « cuatrocientos setenta 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:
158wrongmultilingual.numword-v2conf 100% · 238ms · $0.000 · 17 tok
question
Compute 424 + 291, 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 cuarenta y cincocorrectmultilingual.wordnum-v1conf 100% · 209ms · $0.000 · 17 tok
question
A number is written in French: « quatre cent soixante ». Another is written in Spanish: « seiscientos setenta 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:
1137wrongmultilingual.numword-v2conf 100% · 261ms · $0.000 · 16 tok
question
Compute 111 + 226, 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 vingt-septcorrectmultilingual.wordnum-v1conf 100% · 224ms · $0.000 · 17 tok
question
A number is written in French: « six cent onze ». Another is written in Spanish: « setecientos veintidós ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1333wrongmultilingual.numword-v2conf 100% · 231ms · $0.000 · 16 tok
question
Compute 136 + 323, 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 sesenta y nuevewrongmultilingual.numword-v2conf 100% · 209ms · $0.000 · 26 tok
question
Compute 294 + 452, 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:
dos mil ciento cuarenta y seiscorrectmultilingual.wordnum-v1conf 100% · 203ms · $0.000 · 16 tok
question
A number is written in French: « neuf cent vingt-neuf ». Another is written in Spanish: « doscientos cincuenta ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
679correctmultilingual.wordnum-v1conf 100% · 207ms · $0.000 · 16 tok
question
A number is written in French: « quatre cent cinq ». Another is written in Spanish: « cuatrocientos cuarenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
854wrongmultilingual.numword-v2conf 100% · 235ms · $0.000 · 24 tok
question
Compute 66 + 98, 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:
soixante-quatorzewrongmultilingual.wordnum-v1conf 100% · 226ms · $0.000 · 15 tok
question
A number is written in French: « trois cent quarante et un ». Another is written in Spanish: « trescientos treinta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
42wrongmultilingual.numword-v2conf 100% · 215ms · $0.000 · 24 tok
question
Compute 209 + 228, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos treinta y sietewrongmultilingual.wordnum-v1conf 100% · 263ms · $0.000 · 17 tok
question
A number is written in French: « neuf cent soixante-dix ». Another is written in Spanish: « ochocientos noventa ». 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:
1770wrongmultilingual.numword-v2conf 100% · 190ms · $0.000 · 19 tok
question
Compute 309 + 169, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent soixante-dix-huitwrongmultilingual.numword-v2conf 100% · 631ms · $0.000 · 25 tok
question
Compute 454 + 103, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos cincuenta y sietewrongmultilingual.wordnum-v1conf 100% · 208ms · $0.000 · 16 tok
question
A number is written in French: « quatre cent vingt ». Another is written in Spanish: « cuatrocientos ochenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
889wrongmultilingual.numword-v2conf 100% · 309ms · $0.000 · 22 tok
question
Compute 52 + 76, 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:
cincuenta y ochocorrectmultilingual.wordnum-v1conf 100% · 229ms · $0.000 · 16 tok
question
A number is written in French: « deux cent trente et un ». Another is written in Spanish: « ciento sesenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
399wrongmultilingual.numword-v2conf 100% · 581ms · $0.000 · 17 tok
question
Compute 332 + 425, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent cinquante-septcorrectmultilingual.wordnum-v1conf 100% · 670ms · $0.000 · 17 tok
question
A number is written in French: « cinq cent trente-sept ». Another is written in Spanish: « seiscientos cincuenta 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:
1189wrongmultilingual.numword-v2conf 100% · 328ms · $0.000 · 27 tok
question
Compute 96 + 101, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
novecientos noventa y sietecorrectmultilingual.wordnum-v1conf 100% · 191ms · $0.000 · 16 tok
question
A number is written in French: « cent quatre-vingt-sept ». Another is written in Spanish: « trescientos cincuenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
541correctmultilingual.wordnum-v1anchorconf 100% · 280ms · $0.000 · 16 tok
model answer:
150wrongmultilingual.numword-v2anchorconf 100% · 238ms · $0.000 · 19 tok
model answer:
quatre cent soixante-dix-neufwrongmultilingual.wordnum-v1anchorconf 100% · 590ms · $0.000 · 16 tok
model answer:
177wrongmultilingual.numword-v2anchorconf 100% · 647ms · $0.000 · 24 tok
model answer:
dos mil ochenta y ochoreasoning 14/30 correct
correctreasoning.deduction.order-v2conf 100% · 194ms · $0.001 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Farah. Bruno is older than Nadir. Ines is older than Farah. Ines is older than Mona. Tessa is older than Bruno. Ines is older than Mona. Farah is older than Mona. Hana is heavier than everyone here, but Hana is not being ranked. Kira is older than Tessa. Nadir is older than Ines. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadirwrongreasoning.deduction.position-v1conf 100% · 190ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 3 in the queue. Emil is directly ahead of Hana. Hana 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 223ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 4 in the queue. Farah is directly ahead of Nadir. Quinn is directly ahead of Farah. Nadir is directly ahead of Mona. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadirwrongreasoning.deduction.order-v2conf 100% · 254ms · $0.001 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Kira. Sami is older than Rosa. Hana is older than Nadir. Ines is older than Emil. Sami is older than Ines. Ines is older than Kira. Emil is older than Hana. Emil is older than Rosa. Quinn is taller than everyone here, but Quinn is not being ranked. Kira is older than Hana. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 465ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 4 in the queue. Jonas is directly ahead of Bruno. Ines is directly ahead of Jonas. Ola is directly ahead of Ines. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olawrongreasoning.deduction.order-v2conf 100% · 311ms · $0.001 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Emil. Ola is heavier than Alice. Emil is heavier than Priya. Emil is heavier than Goran. Ola is heavier than Priya. Alice is heavier than Priya. Alice is heavier than Kira. Priya is heavier than Goran. Farah is heavier than Ola. Rosa is taller than everyone here, but Rosa 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:
Emilcorrectreasoning.deduction.position-v1conf 100% · 222ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Tessa. Tessa is directly ahead of Farah. Farah is directly ahead of Bruno. Bruno 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:
Farahwrongreasoning.deduction.order-v2conf 100% · 226ms · $0.001 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Dara. Dara is taller than Mona. Bruno is taller than Ola. Ola is taller than Alice. Mona is taller than Liam. Bruno is taller than Alice. Bruno is taller than Mona. Emil is faster than everyone here, but Emil is not being ranked. Bruno is taller than Liam. Liam is taller than Rosa. 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 100% · 226ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Quinn. Quinn is directly ahead of Jonas. Jonas is number 3 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonaswrongreasoning.deduction.order-v2conf 100% · 224ms · $0.001 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is faster than everyone here, but Goran is not being ranked. Priya is taller than Rosa. Chen is taller than Kira. Chen is taller than Ola. Tessa is taller than Chen. Ines is taller than Rosa. Kira is taller than Priya. Kira is taller than Ines. Ola is taller than Priya. Ines is taller than Ola. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 100% · 217ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Quinn. Dara is number 3 in the queue. Quinn is directly ahead of Dara. 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 100% · 224ms · $0.001 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Jonas is taller than Hana. Bruno is taller than Ola. Hana is taller than Nadir. Dara is taller than Jonas. Nadir is taller than Bruno. Alice is taller than Ola. Kira is faster than everyone here, but Kira is not being ranked. Jonas is taller than Ola. Bruno is taller than Ola. Bruno is taller than Alice. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 261ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Rosa. Quinn is directly ahead of Priya. Rosa is directly ahead of Quinn. Priya is number 4 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyawrongreasoning.deduction.order-v2conf 100% · 207ms · $0.001 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Quinn. Bruno is taller than Sami. Jonas is taller than Sami. Jonas is taller than Bruno. Tessa is faster than everyone here, but Tessa is not being ranked. Chen is taller than Jonas. Alice is taller than Jonas. Quinn is taller than Alice. Jonas is taller than Sami. Alice is taller than Chen. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1conf 100% · 200ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Kira. Kira is directly ahead of Bruno. Tessa is number 1 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.order-v2conf 100% · 539ms · $0.001 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Liam. Bruno is older than Ola. Rosa is older than Ola. Liam is older than Sami. Jonas is taller than everyone here, but Jonas is not being ranked. Goran is older than Rosa. Liam is older than Goran. Goran is older than Ola. Sami is older than Goran. Bruno is older than Alice. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.position-v1conf 100% · 213ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 3 in the queue. Dara is directly ahead of Kira. Kira is directly ahead of Emil. 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:
Emilwrongreasoning.deduction.order-v2conf 100% · 217ms · $0.001 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Farah. Chen is heavier than everyone here, but Chen is not being ranked. Farah is older than Priya. Rosa is older than Dara. Emil is older than Rosa. Priya is older than Dara. Priya is older than Emil. Rosa is older than Bruno. Dara is older than Bruno. Farah is older than Dara. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 223ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Ines. Quinn is directly ahead of Jonas. Ines is directly ahead of Hana. Hana is number 4 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.order-v2conf 100% · 217ms · $0.001 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Chen. Farah is taller than Tessa. Quinn is taller than Farah. Sami is faster than everyone here, but Sami is not being ranked. Chen is taller than Quinn. Tessa is taller than Ines. Quinn is taller than Ines. Quinn is taller than Ines. Chen is taller than Ines. Rosa is taller than Dara. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chenwrongreasoning.deduction.position-v1conf 100% · 232ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 4 in the queue. Farah is directly ahead of Mona. Emil is directly ahead of Jonas. Jonas is directly ahead of Farah. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilwrongreasoning.deduction.order-v2conf 100% · 215ms · $0.001 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Sami. Mona is heavier than Jonas. Liam is heavier than Hana. Tessa is heavier than Farah. Sami is heavier than Hana. Nadir is taller than everyone here, but Nadir is not being ranked. Farah is heavier than Mona. Mona is heavier than Hana. Jonas is heavier than Liam. Liam is heavier 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:
Samiwrongreasoning.deduction.position-v1conf 100% · 234ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Ines. Ines is directly ahead of Dara. Dara is number 3 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.order-v2conf 100% · 212ms · $0.001 · 13 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Quinn is heavier than Chen. Hana is heavier than Chen. Rosa is heavier than Quinn. Quinn is heavier than Emil. Rosa is heavier than Hana. Tessa is heavier than Rosa. Emil is heavier than Hana. Ines is heavier than Chen. Hana is heavier than Ines. Priya is older than everyone here, but Priya is not being ranked. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.order-v2conf 100% · 239ms · $0.001 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Chen. Kira is heavier than everyone here, but Kira is not being ranked. Bruno is older than Quinn. Quinn is older than Chen. Ines is older than Priya. Nadir is older than Ines. Priya is older than Mona. Mona is older than Bruno. Priya is older than Chen. Mona is older 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:
Quinnwrongreasoning.deduction.position-v1conf 100% · 232ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Chen. Priya is number 1 in the queue. Chen 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:
Chencorrectreasoning.deduction.position-v1anchorconf 100% · 225ms · $0.000 · 13 tok
model answer:
Quinnwrongreasoning.deduction.order-v2anchorconf 100% · 234ms · $0.001 · 13 tok
model answer:
Nadirwrongreasoning.deduction.order-v2anchorconf 100% · 301ms · $0.001 · 13 tok
model answer:
Olacorrectreasoning.deduction.position-v1anchorconf 100% · 299ms · $0.000 · 13 tok
model answer:
Farahterminal 9/30 correct
wrongterminal.exit.chain-v1conf 100% · 231ms · $0.001 · 24 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 false && echo C || echo D test -f data.txt && echo E || echo F test -f tmp.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
H
exit:0wrongterminal.fs.tree-v1conf 95% · 226ms · $0.001 · 56 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/build`, `/proj/src`): ``` /proj/build/setup.md /proj/build/util.log /proj/conf/notes.cfg /proj/draft.log /proj/report.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch src/notes-2.log mkdir -p build/logs-7 cp report.log build/ mv build/setup.md build/ rm build/report.log cd src mkdir -p ../../proj/conf/logs-2 cd ../../proj/conf/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/build/setup.md
/proj/build/util.log
/proj/conf/notes.cfg
/proj/draft.log
/proj/src/notes-2.logwrongterminal.pipeline.predict-v1conf 100% · 228ms · $0.001 · 42 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` jon,legal,100,83 fay,hr,109,21 lou,eng,41,45 ana,ops,102,91 gus,eng,93,12 oli,legal,58,91 kim,hr,84,94 pam,ops,68,19 ivy,ops,34,42 eli,ops,37,38 dev,ops,93,59 hal,eng,84,79 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' 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:
gus,eng,93,12
hal,eng,84,79
lou,eng,41,45wrongterminal.fs.tree-v1conf 100% · 537ms · $0.001 · 48 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/logs`, `/proj/conf`): ``` /proj/conf/setup.md /proj/docs/index.cfg /proj/docs/todo.md /proj/report.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp report.md conf/ rm docs/todo.md mkdir -p conf/conf-9 rm conf/report.md mv docs/index.cfg docs/index-3.md cd . cp report.md 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/setup.md
/proj/docs/index-3.md
/proj/docs/report.md
/proj/util.mdcorrectterminal.exit.chain-v1conf 100% · 231ms · $0.001 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B true && 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
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 264ms · $0.001 · 24 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,hr,81,61 kim,ops,52,51 lou,legal,19,25 gus,sales,35,35 hal,sales,67,22 bo,eng,17,19 jon,eng,13,77 pam,eng,34,67 max,hr,38,72 fay,ops,31,19 cy,ops,118,30 ivy,sales,109,82 ned,ops,34,19 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cy,118
fay,31wrongterminal.fs.tree-v1conf 100% · 237ms · $0.001 · 57 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/docs`, `/proj/build`): ``` /proj/build/util.cfg /proj/docs/setup.md /proj/docs/todo.md /proj/draft.txt /proj/index.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp docs/todo.md ./ cd src touch ../../proj/docs/index-5.log cd ../../proj/docs mkdir -p ../../proj/src/logs-7 mkdir -p logs-2 cp ../../proj/draft.txt ../../proj/src/ rm ../../proj/build/util.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/index-5.log
/proj/docs/setup.md
/proj/docs/todo.md
/proj/draft.txt
/proj/src/draft.txtcorrectterminal.exit.chain-v1conf 95% · 246ms · $0.001 · 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, amber (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f app.txt && echo C || echo D true && echo E || echo F test -f tmp.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
H
Z
exit:0wrongterminal.pipeline.predict-v1conf 100% · 327ms · $0.001 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
gus,sales,32,83
lou,hr,32,46
dev,sales,25,10
eli,eng,93,70
pam,legal,96,38
fay,sales,82,92
ana,sales,75,16
max,ops,22,11
bo,ops,84,69
oli,hr,46,86
hal,eng,4,93
cy,ops,83,45
kim,legal,64,80
jon,eng,57,88
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 63 { 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:
2wrongterminal.fs.tree-v1conf 90% · 225ms · $0.002 · 85 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/logs`): ``` /proj/build/index.cfg /proj/draft.md /proj/logs/main.txt /proj/src/report.txt /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p build/conf-9 mv draft.md setup-5.log touch build/main-6.md touch build/main-8.txt cp build/main-6.md ./ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/conf-9
/proj/build/index.cfg
/proj/build/main-6.md
/proj/build/main-8.txt
/proj/logs/main.txt
/proj/setup-5.log
/proj/src/report.txt
/proj/todo.mdcorrectterminal.exit.chain-v1conf 95% · 358ms · $0.001 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f ghost.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
H
Z
exit:0wrongterminal.fs.tree-v1conf 95% · 257ms · $0.001 · 58 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/logs`): ``` /proj/conf/index.md /proj/conf/main.txt /proj/draft.txt /proj/logs/todo.log /proj/report.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv conf/main.txt assets/ rm logs/todo.log mv draft.txt index-1.cfg rm assets/main.txt cd logs touch ../../proj/assets/notes-8.cfg cp ../../proj/index-1.cfg ../../proj/conf/ cd ../../proj rm assets/notes-8.cfg touch conf/notes-6.log cd conf ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/index.md
/proj/conf/main.txt
/proj/conf/notes-6.log
/proj/conf/index-1.cfg
/proj/report.txtwrongterminal.pipeline.predict-v1conf 100% · 352ms · $0.001 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ivy,eng,22,78
cy,hr,51,41
jon,sales,72,45
max,hr,100,79
ned,eng,30,82
bo,ops,94,27
pam,legal,104,83
eli,eng,67,62
hal,legal,111,96
dev,sales,43,52
fay,legal,81,61
gus,legal,113,29
oli,legal,39,33
ana,hr,54,56
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 48 { 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:
2correctterminal.exit.chain-v1conf 95% · 545ms · $0.001 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 grep -q basil notes.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
Z
exit:0wrongterminal.fs.tree-v1conf 95% · 303ms · $0.001 · 45 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/src`, `/proj/conf`): ``` /proj/conf/main.cfg /proj/logs/report.log /proj/notes.txt /proj/setup.cfg /proj/src/index.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 cp src/index.txt logs/ mv notes.txt todo-3.cfg cd . rm logs/index.txt cp logs/report.log ./ rm logs/report.log mv report.log conf/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/main.cfg
/proj/conf/report.log
/proj/setup.cfg
/proj/todo-3.cfgwrongterminal.pipeline.predict-v1conf 100% · 208ms · $0.001 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` jon,sales,5,88 max,hr,66,91 ana,ops,95,33 ivy,ops,103,59 eli,sales,100,41 kim,ops,47,49 lou,ops,101,80 fay,hr,103,39 bo,eng,96,86 hal,hr,101,91 dev,sales,109,29 cy,legal,54,37 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cy
54wrongterminal.exit.chain-v1conf 95% · 231ms · $0.001 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B false && 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
D
E
exit:0wrongterminal.fs.tree-v1conf 90% · 292ms · $0.001 · 67 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/assets`): ``` /proj/assets/draft.md /proj/build/util.md /proj/logs/setup.md /proj/main.md /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm logs/setup.md cd logs touch ../../proj/main-4.cfg cp ../../proj/assets/draft.md ../../proj/ mkdir -p ../../proj/assets-8 cp ../../proj/main.md ../../proj/assets/ cp ../../proj/main-4.cfg ../../proj/build/ rm ../../proj/main-4.cfg cd ../../proj mv main.md assets/ cd build ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/assets/main.md
/proj/assets/draft.md
/proj/build/util.md
/proj/build/main-4.cfg
/proj/main-4.cfg
/proj/todo.logwrongterminal.pipeline.predict-v1conf 100% · 353ms · $0.001 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
dev,hr,39,80
jon,legal,40,77
lou,hr,54,61
eli,sales,53,19
oli,hr,81,77
hal,hr,118,43
fay,eng,72,39
cy,legal,92,76
max,sales,113,13
kim,ops,36,44
pam,sales,101,21
ivy,sales,3,32
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 52 { 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:
2correctterminal.exit.chain-v1conf 100% · 212ms · $0.001 · 22 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh test -f app.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:
A
C
F
exit:1wrongterminal.fs.tree-v1conf 95% · 475ms · $0.002 · 76 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/assets`): ``` /proj/build/index.cfg /proj/build/notes.txt /proj/main.md /proj/src/todo.txt /proj/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv build/index.cfg src/ cd build mkdir -p ../../proj/src/src-5 cp ../../proj/src/todo.txt ../../proj/assets/ cd . cp ../../proj/main.md ../../proj/assets/ touch ../../proj/assets/report-1.log touch ../../proj/src/draft-6.cfg cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/main.md
/proj/assets/report-1.log
/proj/assets/todo.txt
/proj/src/draft-6.cfg
/proj/src/src-5
/proj/src/todo.txt
/proj/util.cfgcorrectterminal.pipeline.predict-v1conf 100% · 311ms · $0.001 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ivy,eng,70,73
kim,ops,64,11
max,eng,28,80
lou,hr,39,99
bo,sales,10,12
fay,eng,12,91
gus,eng,18,79
ned,legal,58,63
dev,legal,92,50
oli,sales,115,87
eli,hr,59,83
pam,sales,56,23
cy,sales,99,76
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
64wrongterminal.exit.chain-v1conf 100% · 230ms · $0.001 · 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, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q coral notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f app.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
G
exit:0wrongterminal.pipeline.predict-v1conf 100% · 230ms · $0.001 · 22 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,hr,47,89 bo,eng,116,86 jon,legal,11,55 eli,eng,98,33 fay,sales,7,12 hal,eng,21,30 lou,eng,94,86 ana,legal,17,69 max,hr,79,62 ``` 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:
dev 47
max 79wrongterminal.fs.tree-v1conf 90% · 239ms · $0.001 · 58 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/docs`, `/proj/build`): ``` /proj/build/util.cfg /proj/docs/report.cfg /proj/docs/todo.cfg /proj/index.md /proj/main.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 docs/todo.cfg build/ cd build mkdir -p ../../proj/docs/assets-7 touch ../../proj/docs/assets-7/notes-5.txt cp ../../proj/docs/todo.cfg ../../proj/docs/assets-7/ cd . rm ../../proj/docs/assets-7/notes-5.txt cd ../../proj/docs/assets-7 mv ../../../proj/index.md ../../../proj/util-3.log mkdir -p ../../../proj/src-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/build/util.cfg
/proj/docs/assets-7/todo.cfg
/proj/docs/report.cfg
/proj/src-4
/proj/util-3.logwrongterminal.exit.chain-v1conf 90% · 259ms · $0.001 · 19 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f tmp.txt && 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:
F
D
exit:1wrongterminal.pipeline.predict-v1anchorconf 100% · 231ms · $0.001 · 43 tok
model answer:
cy,eng,115,45
dev,eng,81,95
eli,eng,60,55wrongterminal.fs.tree-v1anchorconf 90% · 260ms · $0.002 · 96 tok
model answer:
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfg
/proj/build-4/todo-4.md
/proj/build/logs-1
/proj/build/logs-8
/proj/build/setup-8.mdcorrectterminal.exit.chain-v1anchorconf 95% · 236ms · $0.001 · 23 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 235ms · $0.001 · 14 tok
model answer:
1Run history
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