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WizardLM-2 8x22B

microsoft/wizardlm-2-8x22b · microsoft · context 65 535 · in $0.620/1M · out $0.620/1M

Global Index

735

95% CI [676793] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
code751 [621880]
0.6950.980.940.077682ms$0.521
instruction following612 [496727]
0.4570.850.750.019834ms$0.223
knowledge723 [551894]
0.5421.000.970.000739ms$0.070
math831 [674988]
0.7230.981.000.000722ms$0.307
multilingual810 [646975]
0.6980.941.000.000708ms$0.137
terminal681 [574789]
0.7090.900.870.154612ms$0.774

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 27/30 correct
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 (248 records, format: id|customer|region|item|qty|status):
```
1856|acme|north|sensor|40|pending
2116|acme|south|panel|15|held
1917|fulton|west|cable|56|pending
1743|harbor|east|pump|87|paid
1955|ember|east|frame|29|shipped
2180|acme|east|cable|34|paid
2138|fulton|west|cable|71|held
2168|fulton|south|valve|61|paid
2283|fulton|east|pump|80|paid
2132|ember|south|gasket|68|pending
1590|juno|west|cable|96|held
1496|gale|west|cable|66|shipped
1618|ember|west|sensor|28|pending
1434|ionic|south|pump|31|pending
1556|cobalt|south|cable|93|paid
1674|ionic|east|sensor|84|pending
1490|ionic|south|frame|74|shipped
1821|dorian|west|pump|25|held
1893|cobalt|south|valve|47|held
2319|cobalt|north|frame|98|pending
2208|gale|south|panel|12|held
1638|gale|south|panel|60|shipped
2226|acme|east|sensor|29|pending
2127|dorian|west|gasket|34|pending
2188|gale|east|frame|24|shipped
1806|harbor|north|rotor|44|paid
2229|dorian|north|rotor|49|held
2215|birch|north|frame|89|pending
1485|ember|west|cable|33|held
1414|ionic|west|panel|84|shipped
2296|harbor|north|gasket|65|shipped
1537|juno|west|valve|32|shipped
1629|birch|east|rotor|44|shipped
2235|gale|south|frame|61|held
2276|dorian|south|cable|54|paid
1935|cobalt|south|gasket|17|held
1487|gale|east|gasket|66|shipped
2297|cobalt|west|sensor|37|pending
1465|birch|south|pump|82|pending
2071|cobalt|north|valve|30|held
2033|juno|west|panel|28|shipped
2084|harbor|south|cable|83|pending
1880|cobalt|east|gasket|70|held
1575|harbor|east|gasket|63|paid
1974|gale|west|cable|22|shipped
1719|juno|south|gasket|70|pending
1694|fulton|west|rotor|15|paid
1600|ember|west|panel|87|paid
2150|dorian|west|frame|44|pending
2122|ionic|north|cable|29|pending
1823|cobalt|east|panel|88|pending
2312|ionic|north|rotor|91|shipped
1836|harbor|south|frame|17|held
1670|dorian|east|valve|26|paid
2144|ionic|east|valve|95|shipped
1713|fulton|north|cable|33|pending
2309|ember|west|rotor|69|shipped
1841|juno|south|pump|47|shipped
1730|acme|south|panel|80|pending
2103|acme|east|valve|77|held
2361|juno|east|cable|50|held
1435|ionic|west|cable|27|shipped
2355|birch|west|rotor|61|paid
2070|fulton|south|valve|80|held
1985|cobalt|west|gasket|63|pending
2114|cobalt|east|frame|34|pending
1464|juno|north|sensor|82|held
1565|harbor|east|cable|65|shipped
1787|harbor|north|cable|45|held
1992|fulton|south|pump|37|pending
1626|cobalt|west|cable|27|pending
2106|acme|south|panel|66|paid
2086|acme|east|gasket|56|held
2124|juno|west|valve|81|held
1968|fulton|west|cable|45|shipped
1770|ionic|north|sensor|26|shipped
1423|ionic|north|sensor|57|pending
1858|fulton|south|gasket|73|held
1949|ionic|east|pump|10|pending
1838|dorian|south|cable|28|pending
1996|birch|west|cable|43|shipped
1612|juno|south|gasket|45|shipped
2349|ionic|south|valve|12|shipped
2238|ember|north|panel|80|held
1696|cobalt|west|gasket|92|held
1906|harbor|south|sensor|93|paid
2185|harbor|west|cable|71|held
2142|fulton|north|panel|54|held
1420|ionic|west|panel|68|pending
1532|birch|north|frame|57|pending
1452|ionic|south|valve|85|pending
2263|fulton|south|frame|68|pending
1572|juno|south|frame|67|pending
1868|acme|south|cable|37|paid
1717|cobalt|east|rotor|92|held
2008|harbor|east|cable|59|shipped
1864|ember|west|cable|86|pending
1570|fulton|east|rotor|72|paid
2289|gale|north|rotor|32|held
1723|cobalt|east|pump|63|shipped
1408|ionic|north|sensor|37|pending
1609|acme|north|pump|58|held
1924|birch|north|frame|26|held
1472|ember|east|pump|33|shipped
1451|ionic|west|sensor|17|pending
1810|harbor|north|pump|17|shipped
1519|fulton|north|frame|47|paid
1848|harbor|south|panel|16|held
2108|ionic|south|pump|43|shipped
2332|harbor|west|valve|25|shipped
1586|ember|south|pump|58|pending
2323|juno|west|frame|34|held
2367|gale|north|pump|16|pending
2175|gale|west|cable|22|pending
1543|dorian|north|gasket|17|held
2203|fulton|south|frame|14|pending
1655|birch|north|gasket|54|held
1925|ember|east|gasket|73|pending
1727|cobalt|west|pump|14|paid
1747|ionic|west|rotor|58|paid
1693|gale|west|cable|57|shipped
2052|harbor|north|gasket|82|shipped
1501|harbor|north|sensor|36|shipped
1990|acme|north|rotor|23|shipped
1447|ionic|west|pump|97|held
1936|dorian|west|cable|15|paid
2060|fulton|east|cable|26|shipped
2058|ember|west|panel|26|paid
2164|acme|south|panel|78|pending
1643|ionic|west|sensor|99|pending
1583|juno|west|gasket|98|pending
2197|acme|east|pump|98|shipped
2343|ionic|south|rotor|77|paid
2161|acme|west|panel|53|held
1829|birch|east|pump|36|paid
1892|gale|north|sensor|41|shipped
1529|acme|north|valve|62|held
2222|ember|east|pump|65|held
1766|acme|south|rotor|21|pending
1891|gale|east|valve|46|paid
2269|juno|south|frame|36|pending
1960|cobalt|west|valve|33|paid
2314|ionic|south|panel|76|held
2077|acme|north|frame|20|held
2315|gale|north|pump|27|pending
1780|juno|west|gasket|91|shipped
1664|acme|east|sensor|78|held
1814|acme|west|panel|87|held
1967|dorian|east|cable|76|shipped
2165|birch|north|pump|91|shipped
1597|dorian|west|rotor|85|pending
2091|dorian|south|rotor|63|shipped
1562|cobalt|south|rotor|43|shipped
1947|cobalt|north|gasket|78|shipped
1792|acme|south|panel|46|pending
1442|ionic|north|panel|92|pending
2225|acme|west|pump|32|paid
2001|juno|west|panel|67|held
1736|ember|east|panel|10|pending
1889|dorian|west|cable|80|held
1649|gale|west|pump|64|shipped
2266|cobalt|east|panel|70|shipped
1760|dorian|east|rotor|28|shipped
1507|dorian|south|frame|35|held
1874|cobalt|west|rotor|17|pending
1547|ember|north|rotor|89|shipped
1633|gale|north|frame|19|held
1923|ember|west|pump|27|pending
2015|dorian|south|rotor|68|pending
2094|fulton|north|rotor|63|held
2246|cobalt|south|valve|71|pending
1569|ember|east|panel|49|shipped
2063|gale|west|cable|65|paid
2151|acme|south|frame|88|paid
1761|juno|south|pump|53|shipped
1783|acme|south|panel|39|paid
1541|cobalt|north|panel|30|pending
1523|birch|north|cable|53|shipped
2267|harbor|north|rotor|64|held
2050|harbor|south|valve|54|shipped
1701|gale|east|gasket|34|held
1656|gale|west|cable|95|held
2020|ember|south|gasket|32|held
1462|birch|west|frame|25|held
1662|ionic|north|frame|79|held
1455|ionic|west|cable|62|held
2378|gale|west|cable|30|pending
1775|harbor|south|pump|89|held
2005|birch|south|gasket|83|shipped
1404|ionic|west|cable|15|pending
2040|fulton|north|sensor|51|paid
2155|harbor|west|gasket|87|pending
1973|harbor|west|sensor|65|pending
1901|acme|east|cable|33|pending
1798|harbor|east|rotor|76|shipped
1427|ionic|west|valve|64|paid
1459|fulton|south|panel|19|paid
1681|birch|south|cable|65|held
1958|gale|south|rotor|65|pending
2194|dorian|west|sensor|14|paid
1607|dorian|north|gasket|79|shipped
1530|dorian|east|frame|90|pending
1807|harbor|south|gasket|44|pending
1786|harbor|east|pump|33|shipped
2320|birch|west|gasket|13|pending
1479|acme|south|sensor|67|paid
2257|cobalt|north|pump|67|pending
2261|dorian|west|cable|62|shipped
2190|cobalt|east|panel|97|pending
1921|juno|south|rotor|75|held
1428|ionic|west|gasket|84|pending
2251|ember|east|panel|68|pending
1688|fulton|south|pump|14|paid
1945|dorian|west|cable|46|shipped
2245|ember|west|sensor|68|held
2364|acme|west|frame|54|pending
1899|juno|west|pump|84|held
2325|ionic|south|panel|73|shipped
2097|dorian|east|sensor|51|pending
1550|dorian|south|gasket|41|shipped
1882|acme|west|sensor|34|held
2259|fulton|north|panel|86|paid
1997|dorian|south|pump|50|shipped
1850|birch|east|rotor|93|paid
1625|dorian|west|gasket|98|pending
2363|birch|east|sensor|62|held
1705|ionic|north|valve|21|pending
2171|gale|south|panel|95|held
2338|birch|west|valve|64|pending
2376|birch|north|frame|35|paid
2265|fulton|west|sensor|48|held
1436|ionic|west|pump|79|pending
2374|gale|west|rotor|71|pending
1673|ember|north|cable|83|paid
1939|fulton|east|pump|49|paid
2027|ionic|north|panel|11|held
1805|ionic|east|valve|27|held
2303|juno|south|panel|22|paid
1981|gale|north|rotor|84|shipped
1632|harbor|south|valve|70|pending
1711|cobalt|west|rotor|25|shipped
1514|ember|north|sensor|31|paid
1910|ionic|north|cable|58|paid
2047|ionic|south|cable|48|pending
1579|ember|east|valve|52|paid
1754|fulton|west|pump|28|pending
2321|acme|east|pump|85|shipped
1930|harbor|south|sensor|83|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, 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)
correctagentic.tools.ledger-v1conf 100% · 826ms · $0.001 · 495 tok
question
You are a treasury agent operating strictly through tool calls.

TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)

OPENING BALANCES:
- alpha: $884
- delta: $378
- tango: $740

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $399 from "alpha" to "delta"
2. pay $224 from "delta" to "alpha"
3. pay $86 from "tango" to "delta"
4. pay $483 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": "alpha", "to": "delta", "amount": 399}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 224}}, {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 86}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 483}} ]
correctagentic.tools.triage-v1conf 100% · 905ms · $0.001 · 656 tok
question
You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- payments → silva
- data → okafor
- infra → haddad

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 8)
2. "invoice total wrong" (category: payments, priority 8)
3. "webhooks not delivered" (category: infra, priority 7)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}} ]
correctagentic.tools.ledger-v1conf 100% · 865ms · $0.001 · 607 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: $724
- lima: $757
- delta: $871

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $203 from "lima" to "echo"
2. pay $224 from "lima" to "delta"
3. pay $357 from "echo" to "delta"
4. pay $431 from "lima" to "delta"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 203}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 224}}, {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 357}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 101}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 431}} ]
correctagentic.tools.deploy-v1conf 100% · 460ms · $0.001 · 619 tok
question
You are a release agent operating strictly through tool calls.

TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: notifier, search
- notifier: (none)
- search: notifier
- billing: auth-svc

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}} ]
correctagentic.tools.triage-v1conf 100% · 750ms · $0.001 · 944 tok
question
You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- auth → rivera
- infra → tanaka
- payments → dubois

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 9)
2. "uploads failing intermittently" (category: infra, priority 2)
3. "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": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
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 (243 records, format: id|customer|region|item|qty|status):
```
2176|birch|south|rotor|12|paid
2133|birch|north|rotor|72|paid
2249|fulton|west|valve|10|paid
1535|dorian|south|valve|44|paid
1924|acme|north|rotor|83|pending
1770|dorian|west|gasket|16|shipped
1660|ember|west|panel|66|held
1455|gale|south|sensor|26|held
1617|juno|north|frame|91|shipped
2317|ionic|north|gasket|48|held
1789|cobalt|north|frame|50|shipped
1638|juno|east|valve|90|paid
2178|fulton|west|frame|69|shipped
1730|dorian|west|pump|69|shipped
2154|juno|east|frame|70|paid
1486|dorian|west|gasket|65|shipped
1568|cobalt|north|gasket|50|held
2066|harbor|east|sensor|63|held
2157|ember|south|valve|97|held
2005|ember|east|valve|49|shipped
1567|ionic|east|sensor|28|held
1891|ember|south|gasket|35|pending
2388|cobalt|east|sensor|84|paid
2079|ionic|south|rotor|60|held
1956|dorian|south|sensor|87|pending
1652|juno|north|pump|90|paid
2286|juno|north|gasket|73|held
1960|gale|east|pump|20|pending
1732|dorian|south|rotor|98|shipped
1900|gale|east|valve|45|held
1725|juno|south|rotor|83|paid
1510|acme|east|rotor|56|pending
1525|juno|east|valve|44|paid
1436|gale|east|sensor|72|pending
1835|dorian|south|rotor|85|held
1852|ember|south|cable|74|paid
2004|fulton|north|gasket|34|held
1596|birch|west|rotor|90|paid
1573|gale|east|panel|23|paid
2305|acme|east|panel|24|held
2312|harbor|south|cable|81|shipped
2043|dorian|west|cable|95|paid
1985|ember|west|sensor|67|shipped
1991|ionic|west|cable|95|shipped
2086|fulton|east|pump|33|paid
2202|gale|west|frame|17|shipped
2137|cobalt|east|cable|18|paid
2116|fulton|north|rotor|91|pending
1944|gale|east|valve|51|held
2349|cobalt|east|rotor|73|pending
1839|ionic|west|valve|18|pending
1599|harbor|west|frame|57|pending
1633|ionic|south|rotor|55|shipped
2172|harbor|east|frame|48|paid
2374|gale|west|gasket|87|shipped
2188|birch|north|panel|29|shipped
2270|juno|east|sensor|67|shipped
2364|ember|east|panel|37|shipped
2122|dorian|east|gasket|35|shipped
1517|juno|south|frame|23|paid
2035|gale|north|gasket|78|held
1624|fulton|north|sensor|94|shipped
1724|harbor|west|panel|98|held
2301|gale|north|gasket|69|shipped
1542|dorian|east|panel|55|held
1719|dorian|south|sensor|13|held
2372|ember|south|pump|32|shipped
1493|cobalt|south|pump|22|held
2092|acme|north|sensor|20|pending
1601|ember|north|rotor|10|paid
1777|gale|south|frame|96|shipped
1949|dorian|east|valve|72|pending
1685|birch|east|valve|96|held
1766|cobalt|east|sensor|16|pending
1461|gale|west|gasket|89|pending
1668|juno|north|valve|50|held
2073|fulton|north|panel|97|held
1826|fulton|west|pump|81|pending
1848|dorian|east|pump|72|held
1775|harbor|east|sensor|47|pending
2223|gale|east|panel|10|shipped
1581|acme|south|sensor|53|shipped
2298|birch|north|sensor|82|shipped
1882|cobalt|south|rotor|25|pending
1959|dorian|west|panel|12|pending
2029|juno|north|frame|84|pending
1703|cobalt|north|panel|31|pending
2306|juno|north|valve|26|shipped
1997|acme|north|pump|79|held
2321|juno|south|valve|98|shipped
1912|ember|east|pump|66|pending
1756|acme|north|gasket|28|pending
1888|fulton|north|frame|53|held
1715|birch|west|cable|51|pending
1657|ionic|east|gasket|39|shipped
1618|dorian|east|sensor|18|held
1654|acme|north|valve|85|shipped
1699|acme|north|frame|64|paid
1579|fulton|east|pump|19|pending
1823|acme|west|cable|59|pending
2011|cobalt|north|gasket|63|held
1645|dorian|north|frame|16|shipped
1531|birch|west|rotor|75|paid
1925|cobalt|west|gasket|80|held
1736|acme|west|cable|10|shipped
1611|acme|north|panel|95|held
1978|fulton|south|pump|91|pending
1537|birch|north|gasket|82|held
1587|ember|west|sensor|73|paid
1815|acme|north|cable|69|pending
2377|ionic|south|pump|40|shipped
1675|juno|south|gasket|10|pending
1709|cobalt|south|valve|96|held
2234|cobalt|south|pump|94|shipped
1845|juno|west|rotor|38|pending
2128|fulton|west|valve|50|held
1849|juno|west|sensor|34|pending
2114|juno|south|panel|71|paid
1665|ember|south|valve|47|pending
1812|harbor|west|valve|26|shipped
2053|acme|south|pump|32|held
1541|dorian|north|cable|72|paid
1694|dorian|west|panel|12|shipped
2243|harbor|west|pump|12|held
1831|fulton|east|rotor|55|held
1907|birch|east|valve|12|shipped
2197|dorian|west|valve|29|shipped
1489|gale|west|panel|50|held
2017|acme|north|gasket|99|held
2050|juno|north|valve|43|paid
2097|gale|west|rotor|22|shipped
2382|ember|south|frame|78|paid
1483|gale|north|valve|79|shipped
1503|gale|north|sensor|67|shipped
1784|ember|south|panel|77|shipped
2343|juno|north|valve|30|held
1512|acme|east|panel|22|paid
2098|birch|north|frame|56|pending
1970|dorian|north|sensor|92|paid
2190|juno|north|rotor|46|paid
1726|fulton|west|cable|43|shipped
2124|ember|east|panel|12|shipped
2140|ember|west|sensor|24|held
1827|ember|west|rotor|25|held
2330|birch|east|gasket|36|shipped
2070|gale|west|sensor|34|pending
2299|birch|east|rotor|20|pending
2235|acme|north|pump|24|held
1415|gale|south|rotor|26|pending
1961|gale|north|valve|87|pending
2198|harbor|west|valve|19|paid
1966|ember|west|gasket|57|pending
2294|juno|north|valve|30|shipped
1689|cobalt|east|pump|60|held
1866|juno|east|frame|94|pending
1681|harbor|south|panel|16|shipped
1524|dorian|east|sensor|85|pending
1931|harbor|west|frame|52|pending
2256|birch|south|pump|65|paid
1546|birch|south|gasket|20|held
1422|gale|north|rotor|21|pending
2022|cobalt|south|cable|59|shipped
1477|birch|east|frame|81|held
2109|dorian|west|valve|44|held
1458|gale|south|valve|98|pending
1441|gale|south|frame|53|held
2371|juno|east|rotor|30|held
2164|fulton|south|valve|54|shipped
1893|ember|west|rotor|13|shipped
1938|birch|south|rotor|54|paid
2230|acme|north|cable|49|pending
2171|fulton|east|panel|45|pending
1431|gale|south|gasket|66|pending
1821|acme|south|rotor|74|paid
2284|ember|south|rotor|62|paid
2238|ionic|east|cable|14|paid
1471|gale|east|pump|57|pending
2212|gale|north|valve|86|paid
1467|gale|south|sensor|85|shipped
1659|fulton|east|cable|60|shipped
2036|harbor|north|gasket|56|pending
1923|fulton|west|panel|58|shipped
1509|ember|south|cable|91|shipped
1574|acme|north|gasket|92|pending
1447|gale|south|gasket|35|pending
1608|acme|east|cable|21|held
1426|gale|south|rotor|33|paid
1550|harbor|north|rotor|27|shipped
2337|dorian|south|gasket|80|held
1628|ember|south|frame|82|paid
1590|acme|south|sensor|77|shipped
1561|acme|east|pump|16|held
2105|ember|west|panel|79|pending
1600|harbor|east|cable|26|paid
1969|cobalt|west|gasket|22|pending
2216|harbor|north|rotor|63|paid
2103|harbor|north|gasket|56|paid
1614|birch|west|cable|64|paid
2112|ember|west|valve|85|paid
2358|ionic|north|sensor|62|shipped
1684|gale|south|rotor|44|pending
1671|gale|west|gasket|86|pending
1450|gale|east|cable|21|pending
2054|birch|west|sensor|83|held
1875|acme|south|frame|16|shipped
2146|ember|east|rotor|75|held
1746|birch|north|gasket|58|paid
1899|acme|east|rotor|99|paid
1500|gale|west|sensor|46|held
1859|juno|south|gasket|51|held
2277|dorian|north|sensor|40|shipped
2075|gale|east|sensor|46|pending
1560|acme|north|frame|93|pending
1470|gale|south|rotor|67|pending
1975|cobalt|west|frame|76|pending
1801|acme|south|frame|34|pending
2149|fulton|west|rotor|16|pending
1992|gale|west|rotor|59|paid
1762|acme|west|rotor|87|shipped
2324|ember|west|rotor|73|paid
2291|ember|south|pump|15|pending
1697|gale|east|panel|80|pending
2182|cobalt|south|rotor|24|shipped
1630|dorian|east|sensor|43|pending
1556|acme|west|cable|41|held
2161|gale|east|sensor|41|held
1807|ionic|east|rotor|47|shipped
2353|juno|north|frame|95|paid
1473|gale|south|pump|97|held
2264|ionic|west|cable|45|shipped
1918|fulton|north|frame|29|held
1768|ember|south|valve|69|pending
1864|harbor|east|pump|75|held
2060|birch|south|rotor|30|shipped
1751|dorian|west|rotor|49|shipped
1794|fulton|east|valve|17|pending
1873|birch|east|cable|37|held
1962|ionic|north|panel|92|pending
1892|fulton|south|panel|19|shipped
1834|fulton|south|sensor|23|held
2260|gale|north|rotor|38|pending
1742|fulton|east|sensor|73|paid
2207|dorian|west|panel|68|shipped
```

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 > 49, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.context-load-v1conf 100% · 1.2s · $0.002 · 705 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 (179 records, format: id|customer|region|item|qty|status):
```
1286|juno|north|rotor|40|held
1664|ember|east|panel|62|shipped
1426|juno|south|gasket|69|paid
1626|cobalt|west|cable|23|paid
1452|juno|west|rotor|10|shipped
1394|cobalt|south|valve|75|paid
1354|dorian|south|valve|62|pending
1420|fulton|south|frame|77|pending
1663|dorian|north|valve|95|pending
1643|cobalt|south|gasket|26|paid
1715|acme|south|sensor|13|pending
1756|dorian|east|valve|42|pending
1396|ionic|east|valve|77|paid
1408|harbor|south|pump|50|held
1662|ionic|east|frame|63|pending
1302|cobalt|north|cable|15|paid
1581|birch|east|panel|21|held
1792|ionic|north|cable|22|pending
1435|harbor|east|gasket|79|shipped
1836|ionic|south|pump|48|shipped
1706|juno|south|valve|50|held
1381|harbor|south|frame|73|shipped
1227|gale|south|pump|39|held
1696|birch|east|frame|43|paid
1826|gale|west|gasket|66|pending
1612|fulton|west|cable|27|shipped
1848|birch|north|pump|80|paid
1279|acme|west|panel|52|held
1606|gale|east|valve|59|paid
1328|harbor|west|valve|42|pending
1650|dorian|west|cable|58|pending
1276|gale|east|rotor|85|shipped
1536|harbor|east|panel|84|held
1193|gale|west|pump|29|pending
1652|juno|south|valve|81|pending
1521|dorian|east|panel|13|paid
1457|ionic|east|panel|79|pending
1296|cobalt|west|cable|83|paid
1337|harbor|west|panel|77|held
1249|cobalt|west|rotor|32|paid
1477|gale|west|rotor|33|shipped
1767|birch|north|panel|40|shipped
1879|juno|south|panel|42|paid
1517|ember|north|valve|91|held
1631|birch|east|sensor|52|pending
1566|harbor|west|sensor|48|shipped
1479|cobalt|south|cable|91|pending
1600|acme|west|valve|48|pending
1639|acme|west|frame|37|paid
1424|ember|west|cable|92|paid
1737|ionic|north|rotor|10|pending
1872|fulton|south|frame|43|paid
1860|ember|west|sensor|83|pending
1344|fulton|south|frame|73|held
1818|cobalt|north|frame|55|shipped
1735|birch|east|sensor|21|held
1628|acme|north|rotor|25|held
1866|gale|east|panel|16|shipped
1449|juno|west|sensor|57|shipped
1708|cobalt|south|gasket|35|pending
1846|acme|north|valve|13|shipped
1400|ionic|west|panel|41|paid
1395|harbor|east|pump|95|pending
1762|fulton|north|rotor|78|pending
1684|juno|west|sensor|99|held
1275|fulton|north|cable|33|pending
1357|birch|south|frame|45|shipped
1306|fulton|west|panel|62|held
1779|cobalt|north|panel|59|shipped
1217|dorian|west|panel|30|held
1194|gale|south|frame|19|shipped
1486|fulton|west|frame|64|paid
1774|harbor|east|panel|74|pending
1307|acme|south|sensor|73|shipped
1463|dorian|east|cable|35|shipped
1332|ember|west|panel|35|paid
1352|cobalt|south|valve|39|shipped
1199|gale|west|frame|32|pending
1355|gale|east|frame|91|pending
1433|acme|south|gasket|85|pending
1832|acme|west|valve|99|shipped
1532|ionic|east|rotor|84|shipped
1282|birch|east|cable|48|shipped
1333|harbor|north|sensor|69|shipped
1241|birch|west|frame|30|shipped
1387|juno|east|valve|99|pending
1516|birch|east|gasket|92|pending
1442|ionic|south|gasket|61|pending
1629|dorian|east|panel|93|shipped
1186|gale|south|panel|77|pending
1212|gale|south|cable|63|held
1671|dorian|east|panel|48|shipped
1831|cobalt|east|gasket|60|pending
1545|juno|south|rotor|16|shipped
1367|birch|north|rotor|84|shipped
1476|fulton|east|pump|68|held
1219|dorian|east|gasket|85|pending
1621|ember|south|gasket|95|paid
1657|ionic|south|panel|81|held
1729|juno|west|sensor|68|paid
1601|birch|north|gasket|20|pending
1700|ionic|east|cable|95|shipped
1243|cobalt|north|panel|79|shipped
1440|ember|west|sensor|63|shipped
1369|fulton|south|pump|80|pending
1499|gale|east|valve|40|pending
1313|ionic|south|panel|50|held
1822|ember|south|pump|88|held
1271|cobalt|west|rotor|99|paid
1722|juno|west|cable|69|paid
1746|acme|east|pump|65|held
1855|birch|south|valve|15|shipped
1319|juno|west|rotor|13|paid
1618|acme|east|frame|46|held
1691|harbor|north|valve|55|pending
1432|birch|north|panel|59|shipped
1547|acme|east|gasket|78|pending
1325|harbor|west|panel|56|pending
1377|ionic|east|sensor|85|shipped
1363|gale|south|sensor|13|held
1807|fulton|east|cable|53|paid
1568|harbor|south|pump|94|held
1501|cobalt|east|frame|69|paid
1580|dorian|south|pump|32|held
1487|fulton|west|rotor|41|pending
1574|juno|north|rotor|68|paid
1266|fulton|south|cable|27|held
1503|birch|east|cable|56|pending
1753|ember|south|panel|52|held
1638|fulton|east|frame|43|shipped
1677|gale|west|gasket|83|pending
1255|juno|north|sensor|55|held
1403|fulton|south|valve|75|shipped
1622|ionic|north|gasket|16|held
1608|acme|north|valve|18|shipped
1561|ionic|south|frame|14|shipped
1540|birch|south|valve|97|pending
1761|acme|south|rotor|84|paid
1587|cobalt|east|valve|57|paid
1820|ember|west|sensor|19|shipped
1206|gale|south|sensor|53|pending
1202|gale|south|frame|86|paid
1704|fulton|east|panel|47|held
1386|birch|west|frame|83|paid
1285|juno|east|valve|97|held
1407|juno|south|frame|36|held
1805|ionic|south|rotor|30|pending
1644|acme|north|panel|89|shipped
1208|gale|north|gasket|91|pending
1676|dorian|south|gasket|52|shipped
1785|juno|west|pump|74|paid
1228|ionic|east|valve|16|held
1744|cobalt|south|valve|24|held
1373|juno|west|gasket|96|shipped
1259|cobalt|north|cable|72|pending
1525|ember|east|pump|37|pending
1290|dorian|east|sensor|50|paid
1510|ionic|south|valve|81|shipped
1625|harbor|north|valve|79|paid
1213|gale|south|sensor|30|paid
1593|cobalt|south|frame|18|shipped
1554|ember|west|panel|49|shipped
1235|gale|north|cable|63|held
1783|birch|east|panel|78|held
1533|birch|south|panel|49|paid
1350|fulton|west|pump|45|held
1839|juno|east|panel|62|held
1466|harbor|east|rotor|14|held
1723|dorian|north|rotor|26|paid
1634|ember|south|pump|74|pending
1651|fulton|north|panel|31|paid
1811|gale|south|sensor|26|pending
1366|cobalt|south|panel|79|paid
1798|birch|west|frame|90|paid
1414|ionic|south|gasket|39|held
1472|gale|east|cable|17|paid
1195|gale|south|sensor|85|pending
1494|birch|east|frame|40|shipped
1226|gale|north|panel|37|shipped
```

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 > 58, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "panel", "qty": 77}}, {"tool": "restock", "args": {"item": "sensor", "qty": 85}}, {"tool": "cancel_order", "args": {"order_id": 1206}}, {"tool": "cancel_order", "args": {"order_id": 1811}} ]
correctagentic.tools.deploy-v1conf 100% · 500ms · $0.001 · 803 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)
- search: billing, notifier
- billing: notifier, reports
- notifier: reports

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"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 (276 records, format: id|customer|region|item|qty|status):
```
1513|ember|north|cable|50|held
1593|ionic|north|pump|88|paid
1875|ionic|south|gasket|67|paid
2009|dorian|west|pump|22|paid
2340|gale|west|valve|49|paid
2368|ember|north|gasket|45|shipped
1546|ember|north|rotor|40|held
1821|dorian|north|rotor|35|pending
2066|juno|west|cable|21|held
2024|acme|north|cable|25|shipped
2262|acme|west|frame|23|held
2053|ember|north|panel|60|held
2256|gale|west|frame|48|shipped
1375|dorian|west|gasket|52|shipped
2244|birch|north|rotor|14|paid
1454|juno|south|panel|28|held
1614|cobalt|west|gasket|89|pending
1796|gale|west|gasket|58|pending
2125|ionic|north|valve|39|pending
1569|birch|east|valve|96|shipped
2375|ember|west|panel|94|paid
1540|birch|west|panel|32|shipped
2308|acme|east|panel|41|pending
1784|gale|north|cable|15|held
1740|birch|north|cable|67|held
2290|ember|east|frame|66|shipped
2181|birch|east|frame|57|shipped
1660|acme|west|valve|77|held
2438|ember|west|cable|28|held
1616|ember|west|gasket|78|shipped
2210|fulton|north|valve|18|held
1729|dorian|north|gasket|65|shipped
1412|fulton|south|pump|51|shipped
1608|acme|south|sensor|11|pending
2281|acme|west|gasket|83|held
1657|harbor|north|cable|26|pending
2443|acme|west|rotor|22|held
1984|harbor|north|valve|96|shipped
2198|juno|east|sensor|40|pending
2366|ember|west|rotor|48|paid
1469|gale|south|frame|58|held
2272|dorian|north|cable|38|paid
2274|ionic|north|rotor|99|pending
1930|birch|east|pump|12|paid
2151|acme|east|sensor|53|paid
2321|harbor|west|panel|84|pending
1444|acme|west|valve|83|paid
2178|fulton|east|gasket|42|paid
1706|birch|north|frame|90|pending
1667|ionic|east|sensor|29|shipped
1426|ionic|north|cable|72|paid
1477|harbor|west|pump|34|shipped
1704|acme|east|rotor|14|pending
2287|ember|west|pump|52|paid
1861|acme|south|cable|86|pending
1541|gale|south|pump|96|pending
2096|birch|west|sensor|51|paid
1482|ionic|east|pump|97|paid
1586|cobalt|west|pump|10|paid
1536|ember|west|valve|81|shipped
1562|harbor|west|sensor|90|pending
2381|juno|east|sensor|51|held
2030|birch|north|rotor|61|held
1462|dorian|north|cable|56|paid
1726|birch|south|frame|86|shipped
2140|dorian|west|gasket|48|pending
1925|acme|north|panel|14|shipped
2180|gale|west|cable|84|shipped
2084|birch|south|cable|16|paid
1901|juno|east|panel|22|paid
1922|fulton|east|pump|61|paid
2167|fulton|north|valve|21|paid
1775|birch|south|rotor|15|pending
1410|ionic|east|cable|52|paid
1472|ember|south|panel|26|shipped
1483|gale|west|pump|95|paid
1781|harbor|south|sensor|62|pending
1620|juno|north|pump|67|shipped
1935|ember|west|sensor|19|pending
2061|fulton|east|frame|39|held
2428|cobalt|north|gasket|89|paid
2312|birch|west|sensor|89|held
2027|birch|west|pump|80|paid
1494|cobalt|north|valve|33|shipped
2227|ionic|north|pump|66|shipped
2326|fulton|east|sensor|40|held
1765|fulton|north|sensor|90|pending
2083|gale|east|pump|55|shipped
2280|cobalt|north|frame|55|pending
1839|birch|south|panel|54|shipped
2303|dorian|east|sensor|83|held
1663|acme|east|panel|52|paid
1400|ionic|south|gasket|22|pending
2201|ionic|west|panel|55|paid
1364|dorian|west|gasket|95|pending
1654|fulton|south|cable|58|held
2158|ember|south|frame|86|shipped
2271|gale|north|pump|83|pending
1373|dorian|west|sensor|59|pending
2455|birch|south|rotor|25|paid
1506|birch|west|sensor|40|paid
1668|fulton|south|pump|74|shipped
2389|cobalt|north|sensor|57|held
2484|fulton|west|panel|16|held
2155|fulton|north|frame|75|held
2330|birch|east|frame|66|held
2393|ionic|north|gasket|70|shipped
1700|birch|west|gasket|76|paid
2007|dorian|west|valve|10|paid
1882|acme|north|gasket|33|pending
1974|acme|east|rotor|68|shipped
2333|ember|south|gasket|68|held
2460|fulton|south|panel|46|held
1915|cobalt|east|valve|39|pending
2278|juno|east|panel|42|paid
1736|harbor|north|rotor|59|paid
1499|birch|east|valve|54|shipped
1662|cobalt|west|valve|17|shipped
1993|acme|west|gasket|90|pending
2464|ember|north|frame|30|paid
2092|dorian|north|cable|83|pending
2006|birch|east|gasket|93|pending
1971|gale|east|sensor|79|shipped
1873|acme|north|rotor|92|paid
1707|birch|west|rotor|71|held
2420|birch|south|panel|86|paid
1442|ionic|south|frame|35|held
2468|acme|north|rotor|89|paid
1622|juno|south|valve|69|paid
2070|dorian|east|sensor|86|pending
1938|fulton|east|sensor|38|shipped
2413|birch|west|cable|15|paid
2150|birch|east|valve|73|held
2108|cobalt|east|sensor|35|paid
1867|birch|north|gasket|85|held
2018|gale|south|sensor|63|held
2378|gale|east|pump|42|pending
1365|dorian|east|panel|83|pending
1638|juno|north|pump|80|pending
2343|juno|north|sensor|43|shipped
2425|dorian|south|gasket|10|shipped
1381|dorian|west|rotor|69|pending
1480|gale|east|rotor|91|shipped
1673|acme|south|cable|12|paid
1980|gale|north|pump|73|pending
1718|dorian|north|frame|41|paid
1559|fulton|east|frame|70|held
1845|juno|north|frame|11|paid
2356|juno|south|frame|54|held
2103|fulton|north|sensor|16|paid
1907|acme|east|valve|75|pending
2011|fulton|south|valve|12|pending
2362|birch|east|gasket|19|held
1576|acme|north|sensor|40|held
2297|fulton|east|valve|83|shipped
2453|juno|west|pump|33|paid
1648|gale|east|sensor|57|pending
2113|harbor|east|cable|69|shipped
2128|juno|south|frame|30|paid
1894|birch|east|pump|98|shipped
2175|gale|west|sensor|11|paid
1489|cobalt|east|pump|91|held
1832|acme|west|frame|90|shipped
1556|dorian|west|cable|43|paid
1599|ember|west|rotor|90|held
1687|acme|south|cable|26|shipped
2395|fulton|north|sensor|29|paid
2106|ionic|south|gasket|56|held
1705|harbor|east|pump|78|shipped
1416|gale|south|gasket|28|held
2165|cobalt|north|rotor|90|held
2192|ionic|north|pump|81|pending
1582|ionic|south|sensor|29|held
1828|fulton|east|cable|61|pending
2390|ionic|north|sensor|31|held
2172|juno|north|cable|21|paid
1850|fulton|north|sensor|36|pending
1619|ionic|west|cable|25|paid
1713|birch|north|pump|63|shipped
2317|juno|west|sensor|17|pending
2388|harbor|west|rotor|32|shipped
1403|ionic|south|valve|47|pending
1843|ember|east|pump|12|paid
2401|birch|north|sensor|46|shipped
1374|dorian|east|gasket|26|pending
1720|acme|north|gasket|79|paid
2473|gale|east|sensor|89|held
1417|fulton|north|rotor|58|paid
1760|gale|south|gasket|43|held
2076|acme|north|valve|38|paid
2313|cobalt|north|sensor|90|pending
2207|dorian|north|valve|64|pending
2225|juno|north|valve|45|held
2118|harbor|north|frame|18|shipped
1913|harbor|west|cable|61|held
2269|birch|north|rotor|49|shipped
1841|juno|west|gasket|60|paid
2478|birch|west|frame|42|held
1460|gale|north|valve|93|pending
2034|fulton|east|frame|30|paid
1987|gale|south|frame|74|shipped
2132|fulton|east|cable|79|held
2039|birch|west|frame|24|held
1449|harbor|south|panel|30|pending
2184|acme|west|panel|76|held
1565|ionic|north|frame|51|paid
1888|juno|east|panel|72|held
2129|ember|west|cable|47|shipped
2186|juno|west|panel|67|pending
2214|fulton|west|pump|14|pending
2432|fulton|east|frame|99|shipped
2231|acme|south|valve|76|shipped
1847|dorian|north|sensor|15|pending
1815|acme|north|valve|64|pending
2091|harbor|west|cable|69|shipped
1754|harbor|south|panel|51|shipped
2342|dorian|west|sensor|52|held
1604|dorian|west|rotor|19|paid
1437|gale|north|sensor|14|paid
1463|cobalt|west|sensor|73|paid
1817|harbor|west|panel|40|pending
1905|dorian|west|frame|62|paid
2235|ionic|east|cable|56|pending
1680|ember|south|gasket|94|shipped
2406|gale|west|sensor|51|paid
2474|acme|west|rotor|44|paid
1802|juno|south|pump|27|pending
1943|harbor|east|valve|70|paid
1771|birch|south|gasket|31|shipped
1957|juno|west|frame|50|held
1790|birch|south|gasket|56|shipped
1530|juno|east|valve|15|pending
2448|gale|south|frame|52|held
1703|harbor|north|gasket|19|held
2000|cobalt|west|gasket|65|held
1391|dorian|west|sensor|86|held
1526|fulton|north|cable|19|paid
1369|dorian|west|frame|95|paid
1419|fulton|east|cable|91|held
1456|acme|south|rotor|27|shipped
2049|ember|south|pump|71|paid
1544|dorian|east|rotor|57|shipped
1646|gale|east|valve|14|paid
1384|dorian|south|rotor|61|pending
1520|cobalt|west|panel|96|held
1964|cobalt|north|sensor|79|paid
1550|cobalt|south|gasket|47|paid
1950|cobalt|south|cable|71|shipped
2045|harbor|west|gasket|32|pending
1396|harbor|east|panel|25|pending
1958|ember|south|valve|14|held
1693|acme|east|valve|30|paid
1701|dorian|south|gasket|43|paid
1898|ember|north|sensor|57|held
2488|fulton|south|pump|52|paid
1629|harbor|north|pump|63|shipped
2054|ember|east|gasket|68|shipped
2145|fulton|west|frame|21|held
1997|ember|west|sensor|70|shipped
1413|ionic|south|valve|32|pending
1475|ember|south|cable|53|shipped
2298|harbor|south|pump|73|paid
2241|fulton|west|panel|75|shipped
1634|birch|east|valve|91|paid
1432|harbor|east|sensor|36|paid
2251|harbor|south|gasket|98|shipped
1854|birch|west|valve|91|paid
1579|acme|north|rotor|62|paid
1643|gale|west|frame|26|shipped
2349|harbor|north|panel|27|held
2136|fulton|east|rotor|79|pending
1809|ionic|west|cable|68|pending
1716|juno|west|gasket|72|held
2163|dorian|west|cable|88|pending
2221|fulton|south|rotor|74|pending
1747|gale|east|sensor|17|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.ledger-v1conf 100% · 677ms · $0.001 · 684 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: $195
- delta: $850
- echo: $581

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $315 from "kilo" to "echo"
2. pay $274 from "echo" to "kilo"
3. pay $150 from "delta" to "kilo"
4. pay $549 from "delta" to "kilo"
5. pay $165 from "echo" to "kilo"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 120}}, {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 315}}, {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 274}}, {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 150}}, {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 549}}, {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 165}} ]
correctagentic.tools.triage-v1conf 100% · 1.0s · $0.001 · 921 tok
question
You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- auth → chen
- infra → rivera
- payments → okafor

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
3. "card declined at checkout" (category: payments, priority 5)
4. "cannot reset password" (category: auth, priority 4)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}} ]
correctagentic.tools.deploy-v1conf 100% · 569ms · $0.001 · 804 tok
question
You are a release agent operating strictly through tool calls.

TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: auth-svc
- gateway: (none)
- auth-svc: gateway
- billing: auth-svc, gateway

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.4s · $0.004 · 4470 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 (145 records, format: id|customer|region|item|qty|status):
```
1513|fulton|south|panel|19|paid
1273|ember|south|gasket|84|pending
1561|harbor|east|gasket|74|shipped
1381|acme|east|pump|43|pending
1423|juno|north|gasket|13|pending
1587|gale|north|pump|22|shipped
1742|cobalt|south|pump|31|paid
1398|fulton|west|gasket|66|held
1437|birch|east|valve|56|paid
1566|harbor|south|frame|55|pending
1802|fulton|east|rotor|93|shipped
1785|ionic|north|frame|18|held
1294|ember|north|panel|39|held
1636|fulton|east|gasket|70|shipped
1597|harbor|west|valve|51|shipped
1509|fulton|west|sensor|96|pending
1487|fulton|west|cable|55|pending
1760|birch|east|gasket|74|held
1677|gale|south|valve|58|shipped
1739|harbor|east|valve|18|paid
1719|juno|east|rotor|84|pending
1646|juno|east|gasket|27|pending
1526|ember|south|gasket|20|held
1461|birch|west|panel|43|paid
1283|ember|north|panel|91|pending
1576|gale|south|valve|40|pending
1756|juno|north|panel|16|paid
1392|birch|west|frame|62|held
1702|fulton|east|panel|33|shipped
1313|ember|north|valve|18|pending
1396|cobalt|west|cable|23|paid
1483|fulton|north|pump|52|paid
1737|dorian|south|cable|12|paid
1554|fulton|west|rotor|42|held
1749|harbor|west|rotor|47|shipped
1292|ember|east|cable|17|pending
1365|harbor|west|pump|36|pending
1284|ember|east|pump|62|pending
1469|juno|north|sensor|99|paid
1404|ionic|south|gasket|47|paid
1794|birch|east|panel|25|shipped
1412|gale|east|rotor|28|held
1675|acme|west|cable|33|pending
1495|gale|north|sensor|68|held
1747|juno|south|rotor|48|held
1520|acme|north|frame|68|shipped
1542|acme|north|pump|92|shipped
1452|juno|north|rotor|57|held
1775|fulton|west|cable|13|pending
1267|ember|north|rotor|77|pending
1492|dorian|east|valve|92|paid
1324|juno|north|sensor|58|pending
1591|gale|north|panel|65|held
1711|juno|north|gasket|77|shipped
1661|acme|east|frame|55|shipped
1665|ember|north|frame|51|held
1613|birch|south|gasket|74|held
1343|acme|east|rotor|27|held
1592|dorian|south|sensor|48|shipped
1695|birch|south|valve|18|held
1681|dorian|south|valve|27|held
1289|ember|north|gasket|11|pending
1370|birch|east|panel|67|paid
1476|ember|south|pump|77|held
1689|ember|south|cable|97|pending
1816|birch|north|frame|27|shipped
1725|ember|east|gasket|77|shipped
1570|dorian|south|sensor|24|pending
1580|juno|east|gasket|23|pending
1765|fulton|south|pump|60|held
1373|harbor|north|rotor|76|shipped
1569|gale|south|frame|17|paid
1642|birch|north|sensor|87|held
1350|cobalt|east|rotor|12|held
1277|ember|north|valve|52|held
1285|ember|north|sensor|92|shipped
1431|cobalt|north|pump|65|shipped
1740|ionic|east|gasket|13|held
1652|gale|east|cable|28|held
1671|juno|north|panel|79|paid
1505|cobalt|east|frame|69|held
1782|juno|east|cable|24|paid
1536|ionic|south|gasket|53|shipped
1374|ember|east|gasket|79|pending
1626|harbor|north|gasket|13|held
1530|dorian|west|rotor|40|paid
1331|dorian|north|panel|69|paid
1357|cobalt|west|rotor|33|paid
1799|harbor|west|sensor|80|shipped
1623|juno|west|rotor|89|paid
1601|cobalt|north|gasket|28|shipped
1338|dorian|south|pump|94|shipped
1321|ember|north|cable|48|shipped
1822|gale|west|valve|15|held
1416|juno|east|gasket|20|pending
1764|ionic|east|sensor|79|shipped
1358|juno|west|cable|39|pending
1619|dorian|south|frame|97|held
1633|ember|south|valve|67|paid
1659|fulton|north|pump|48|shipped
1684|harbor|north|rotor|63|pending
1300|ember|north|pump|59|pending
1459|juno|north|rotor|84|held
1726|dorian|north|sensor|90|pending
1606|juno|north|pump|29|shipped
1748|acme|west|pump|46|pending
1771|ember|east|valve|78|shipped
1707|acme|south|frame|91|held
1475|birch|west|sensor|84|shipped
1729|fulton|south|sensor|68|shipped
1584|dorian|north|cable|91|pending
1499|gale|east|frame|75|paid
1441|dorian|north|pump|85|shipped
1304|ember|south|cable|65|pending
1778|juno|north|gasket|25|shipped
1424|juno|north|cable|23|pending
1715|cobalt|south|panel|16|paid
1821|birch|south|gasket|61|paid
1716|birch|east|gasket|65|paid
1468|ionic|south|valve|12|shipped
1388|harbor|north|valve|25|shipped
1524|acme|west|cable|30|paid
1438|cobalt|south|valve|20|held
1409|fulton|south|frame|13|shipped
1732|juno|north|gasket|72|pending
1759|ionic|north|rotor|20|paid
1809|birch|east|valve|67|pending
1815|ionic|north|pump|62|held
1528|gale|east|sensor|76|held
1769|juno|east|rotor|12|shipped
1336|gale|north|pump|47|shipped
1378|dorian|west|valve|13|held
1557|fulton|west|gasket|84|pending
1330|ionic|south|valve|44|paid
1792|acme|south|frame|44|held
1482|dorian|south|pump|36|shipped
1508|gale|south|valve|81|paid
1307|ember|north|gasket|84|paid
1363|cobalt|east|panel|11|paid
1595|acme|north|panel|92|shipped
1804|ember|east|sensor|94|paid
1447|fulton|east|valve|74|pending
1510|dorian|east|sensor|11|held
1548|juno|east|sensor|39|paid
1315|ember|west|frame|66|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "rotor", "qty": 77}}, {"tool": "restock", "args": {"item": "panel", "qty": 91}}, {"tool": "cancel_order", "args": {"order_id": 1289}}, {"tool": "cancel_order", "args": {"order_id": 1300}}, {"tool": "cancel_order", "args": {"order_id": 1313}} ]
correctagentic.tools.ledger-v1conf 100% · 957ms · $0.001 · 821 tok
question
You are a treasury agent operating strictly through tool calls.

TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)

OPENING BALANCES:
- alpha: $659
- kilo: $168
- oscar: $333

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $522 from "oscar" to "alpha"
2. pay $411 from "oscar" to "alpha"
3. pay $292 from "alpha" to "oscar"
4. pay $263 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": "top_up_from_reserve", "args": {"account": "oscar", "amount": 189}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 522}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 411}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 411}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 292}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 95}}, {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 263}} ]
correctagentic.tools.triage-v1conf 100% · 707ms · $0.001 · 606 tok
question
You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- data → rivera
- infra → chen
- payments → okafor

INCIDENTS:
1. "records missing after import" (category: data, priority 4)
2. "records missing after import" (category: data, priority 4)
3. "invoice total wrong" (category: payments, priority 3)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}} ]
correctagentic.tools.ledger-v1conf 100% · 744ms · $0.001 · 825 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: $885
- bravo: $462
- kilo: $454

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $531 from "echo" to "bravo"
2. pay $302 from "kilo" to "bravo"
3. pay $171 from "echo" to "bravo"
4. pay $154 from "kilo" to "echo"
5. pay $385 from "echo" to "kilo"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 531}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 302}}, {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 171}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 2}}, {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 154}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 48}}, {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 385}} ]
correctagentic.tools.deploy-v1conf 100% · 598ms · $0.000 · 425 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: search
- search: (none)
- notifier: search
- billing: notifier, search

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}} ]
correctagentic.tools.triage-v1conf 95% · 818ms · $0.001 · 1197 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 → tanaka
- infra → okafor
- payments → chen

INCIDENTS:
1. "cannot reset password" (category: auth, priority 2)
2. "cannot reset password" (category: auth, priority 2)
3. "refund double-charged" (category: payments, 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": "cannot reset password", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.0s · $0.004 · 3208 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 (149 records, format: id|customer|region|item|qty|status):
```
1406|dorian|south|panel|65|shipped
1659|birch|north|valve|31|paid
1837|ember|west|panel|15|paid
1424|fulton|north|rotor|15|held
1686|ember|south|sensor|45|shipped
1516|dorian|south|gasket|16|shipped
1843|juno|south|valve|91|shipped
1932|ionic|north|frame|46|pending
1411|gale|south|sensor|17|held
1398|harbor|north|valve|49|shipped
1641|ember|west|gasket|28|shipped
1937|fulton|north|valve|56|held
1682|fulton|west|rotor|55|paid
1908|acme|east|valve|83|paid
1905|juno|east|gasket|53|held
1740|cobalt|south|valve|76|pending
1394|harbor|east|valve|96|pending
1865|acme|north|sensor|19|held
1826|ember|east|frame|57|shipped
1915|gale|south|pump|79|pending
1728|cobalt|north|sensor|70|held
1811|acme|south|valve|63|held
1707|ionic|south|valve|86|shipped
1465|birch|north|rotor|52|paid
1853|ember|east|panel|52|held
1560|gale|west|cable|46|shipped
1661|fulton|north|panel|44|held
1346|harbor|north|gasket|11|pending
1547|ember|north|cable|17|paid
1565|acme|north|frame|47|pending
1405|fulton|north|pump|86|paid
1705|harbor|west|frame|61|shipped
1935|harbor|east|sensor|67|paid
1429|gale|east|rotor|95|held
1616|harbor|north|gasket|83|shipped
1584|birch|north|panel|63|pending
1472|gale|west|frame|87|pending
1660|cobalt|east|cable|34|pending
1412|dorian|east|rotor|93|shipped
1437|harbor|west|sensor|92|pending
1510|dorian|south|valve|95|paid
1665|cobalt|south|rotor|70|shipped
1487|gale|south|pump|42|shipped
1921|cobalt|east|gasket|77|held
1610|gale|west|frame|82|held
1655|harbor|south|sensor|42|paid
1903|birch|east|cable|55|held
1709|gale|north|frame|97|shipped
1906|fulton|south|cable|17|held
1941|birch|north|sensor|50|pending
1498|juno|north|sensor|61|pending
1798|ionic|west|gasket|52|paid
1715|dorian|north|frame|43|pending
1369|harbor|north|sensor|19|shipped
1805|juno|east|sensor|92|paid
1557|cobalt|east|gasket|62|shipped
1700|gale|north|valve|51|pending
1541|acme|west|pump|30|paid
1772|fulton|north|panel|13|paid
1693|harbor|west|sensor|26|held
1676|ember|east|gasket|17|held
1387|harbor|north|rotor|47|pending
1451|juno|north|pump|88|held
1745|gale|south|sensor|69|paid
1371|harbor|north|rotor|61|pending
1627|fulton|east|pump|13|pending
1378|harbor|south|rotor|18|pending
1788|gale|east|sensor|15|shipped
1974|fulton|west|frame|95|paid
1600|ionic|east|panel|28|held
1414|ionic|south|rotor|75|pending
1929|harbor|north|gasket|23|paid
1765|juno|south|panel|54|held
1926|ionic|east|cable|15|held
1351|harbor|west|panel|35|pending
1959|harbor|north|frame|59|paid
1874|cobalt|west|rotor|93|pending
1750|ionic|south|panel|77|held
1956|juno|south|rotor|35|pending
1630|fulton|west|frame|18|pending
1755|fulton|north|rotor|87|shipped
1819|ionic|north|frame|40|paid
1889|birch|north|sensor|32|pending
1790|dorian|east|sensor|85|shipped
1493|birch|south|frame|27|pending
1526|dorian|south|pump|62|pending
1858|acme|south|gasket|13|paid
1779|juno|north|sensor|60|held
1838|birch|east|valve|34|held
1799|dorian|south|panel|61|pending
1620|fulton|north|cable|33|paid
1880|cobalt|west|rotor|68|shipped
1776|cobalt|north|sensor|48|held
1572|cobalt|east|valve|12|paid
1431|gale|west|rotor|25|paid
1795|juno|north|gasket|50|held
1896|juno|east|rotor|20|shipped
1552|birch|south|valve|75|paid
1847|dorian|east|panel|75|paid
1539|acme|west|cable|43|shipped
1605|harbor|north|gasket|89|paid
1440|gale|north|pump|82|held
1358|harbor|north|panel|86|pending
1589|ember|west|gasket|20|shipped
1859|ionic|south|frame|58|held
1883|ember|west|gasket|89|shipped
1695|ember|north|valve|95|paid
1485|ionic|east|gasket|37|paid
1933|gale|west|sensor|18|pending
1380|harbor|north|panel|24|paid
1593|juno|north|panel|18|held
1949|birch|west|cable|32|pending
1786|birch|south|frame|20|held
1830|acme|north|panel|68|paid
1542|harbor|south|panel|47|held
1722|cobalt|east|pump|15|pending
1943|birch|north|sensor|44|pending
1353|harbor|north|sensor|83|paid
1522|dorian|west|valve|40|held
1608|fulton|north|pump|70|paid
1885|gale|east|pump|10|pending
1446|ember|west|frame|17|shipped
1456|dorian|south|gasket|87|pending
1421|juno|south|gasket|89|shipped
1762|ember|south|panel|84|pending
1576|ember|north|pump|38|held
1634|dorian|south|frame|98|shipped
1577|birch|east|gasket|45|paid
1734|dorian|east|cable|76|shipped
1601|gale|west|valve|62|paid
1533|birch|south|panel|74|pending
1626|dorian|north|pump|53|paid
1408|fulton|east|cable|96|pending
1365|harbor|south|rotor|40|pending
1505|birch|south|pump|35|held
1794|juno|west|valve|56|pending
1868|cobalt|east|pump|79|paid
1459|birch|north|rotor|46|shipped
1647|gale|north|cable|74|shipped
1670|ember|south|pump|14|shipped
1893|fulton|south|cable|52|shipped
1966|fulton|west|panel|41|shipped
1814|ionic|south|gasket|20|paid
1618|fulton|west|pump|71|held
1650|ionic|north|pump|39|paid
1478|harbor|south|gasket|91|paid
1828|dorian|east|valve|21|shipped
1968|juno|north|sensor|29|paid
1930|ember|west|frame|40|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1346}}, {"tool": "restock", "args": {"item": "panel", "qty": 86}}, {"tool": "cancel_order", "args": {"order_id": 1371}}, {"tool": "cancel_order", "args": {"order_id": 1387}} ]
correctagentic.tools.deploy-v1conf 95% · 615ms · $0.001 · 631 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: gateway, reports
- notifier: gateway
- 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": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
correctagentic.tools.ledger-v1conf 100% · 704ms · $0.001 · 584 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: $645
- lima: $692
- tango: $829

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $286 from "bravo" to "tango"
2. pay $478 from "tango" to "bravo"
3. pay $278 from "bravo" to "tango"
4. pay $352 from "lima" to "bravo"
5. pay $566 from "bravo" to "lima"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 286}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 478}}, {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 278}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 352}}, {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 566}} ]
correctagentic.tools.triage-v1conf 100% · 1.0s · $0.001 · 880 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
- infra → novak
- data → silva

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 7)
2. "webhooks not delivered" (category: infra, priority 5)
3. "card declined at checkout" (category: payments, priority 7)
4. "refund double-charged" (category: payments, priority 7)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "okafor"}} ]
correctagentic.tools.ledger-v1conf 100% · 650ms · $0.001 · 729 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: $314
- kilo: $664
- tango: $458

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $327 from "echo" to "tango"
2. pay $535 from "tango" to "kilo"
3. pay $386 from "echo" to "kilo"
4. pay $347 from "kilo" to "tango"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 13}}, {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 327}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 535}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 386}}, {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 386}}, {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 347}} ]
correctagentic.tools.deploy-v1conf 100% · 792ms · $0.000 · 367 tok
question
You are a release agent operating strictly through tool calls.

TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: notifier
- notifier: (none)
- gateway: notifier
- 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 "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.context-load-v1anchorconf 100% · 1.2s · $0.003 · 934 tok
model answer: [ {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}} ]
correctagentic.tools.triage-v1conf 95% · 1.3s · $0.001 · 857 tok
question
You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- data → rivera
- payments → tanaka
- infra → okafor

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 2)
2. "dashboard shows stale numbers" (category: data, priority 2)
3. "API latency spikes" (category: infra, priority 6)
4. "records missing after import" (category: data, priority 8)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "rivera"}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 589ms · $0.000 · 425 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.ledger-v1anchorconf 100% · 708ms · $0.001 · 792 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
correctagentic.tools.triage-v1anchorconf 100% · 648ms · $0.001 · 802 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
code 28/30 correct
correctcode.trace.nested-v1conf 95% · 461ms · $0.001 · 1412 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 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: 158
wrongcode.trace.js-v1conf 100% · 699ms · $0.000 · 13 tok
question
What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 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: 300
correctcode.trace.python-v1conf 100% · 413ms · $0.000 · 285 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 41:
    if v % 5 != 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: 38
correctcode.trace.nested-v1conf 100% · 425ms · $0.001 · 1227 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 81
correctcode.trace.js-v1conf 100% · 459ms · $0.000 · 296 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
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: 605
correctcode.trace.nested-v1conf 100% · 537ms · $0.001 · 1297 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 217
correctcode.trace.python-v1conf 100% · 581ms · $0.000 · 416 tok
question
What does this Python program print?

```python
total = 0
v = 5
while total + v <= 67:
    if v % 4 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 50
wrongcode.trace.js-v1conf 100% · 761ms · $0.000 · 13 tok
question
What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 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: 275
correctcode.trace.nested-v1conf 100% · 620ms · $0.001 · 1777 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 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: 102
correctcode.trace.python-v1conf 100% · 772ms · $0.000 · 443 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 105:
    if v % 3 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 100
correctcode.trace.js-v1conf 100% · 854ms · $0.000 · 279 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6];
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: 20
correctcode.trace.nested-v1conf 100% · 560ms · $0.001 · 1186 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 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: 122
correctcode.trace.python-v1conf 95% · 587ms · $0.000 · 370 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 48:
    if v % 7 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 40
correctcode.trace.js-v1conf 100% · 641ms · $0.000 · 254 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];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
correctcode.trace.python-v1conf 100% · 528ms · $0.000 · 284 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 85:
    if v % 3 != 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: 60
correctcode.trace.nested-v1conf 100% · 455ms · $0.001 · 1587 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) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 332
correctcode.trace.js-v1conf 100% · 669ms · $0.000 · 398 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [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: 540
correctcode.trace.nested-v1conf 100% · 900ms · $0.001 · 1270 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) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 228
correctcode.trace.python-v1conf 100% · 2.3s · $0.000 · 287 tok
question
What does this Python program print?

```python
total = 0
v = 7
while total + v <= 36:
    if v % 5 != 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: 18
correctcode.trace.js-v1conf 100% · 932ms · $0.000 · 330 tok
question
What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 528
correctcode.trace.python-v1conf 100% · 682ms · $0.000 · 504 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 15
while total + v <= 91:
    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: 84
correctcode.trace.nested-v1conf 95% · 888ms · $0.001 · 1134 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 291
correctcode.trace.js-v1conf 100% · 661ms · $0.000 · 360 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 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: 180
correctcode.trace.nested-v1conf 100% · 933ms · $0.001 · 1424 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 156
correctcode.trace.python-v1conf 100% · 727ms · $0.000 · 305 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 69:
    if v % 4 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 58
correctcode.trace.js-v1conf 100% · 786ms · $0.000 · 397 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 744
correctcode.trace.nested-v1anchorconf 100% · 619ms · $0.001 · 1370 tok
model answer: 283
correctcode.trace.python-v1anchorconf 100% · 895ms · $0.001 · 736 tok
model answer: 0
correctcode.trace.js-v1anchorconf 100% · 10.0s · $0.000 · 272 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 831ms · $0.000 · 365 tok
model answer: 40
instruction following 22/30 correct
correctif.constraints.stack-v1conf 90% · 800ms · $0.001 · 1148 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "tundra" and the last word must be "orbit".
3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra cold city lights glow like a nova bright nova in the dark night sky orbit
wrongif.constraints.stack-v1conf 100% · 586ms · $0.000 · 601 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "flint" and the last word must be "ember".
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: (none extracted)
correctif.format.acronym-v1conf 100% · 714ms · $0.000 · 105 tok
question
Take the third letter of each of these words, in order: delta, orbit, nova, 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: LBVD
correctif.format.repeat-v1conf 100% · 385ms · $0.000 · 34 tok
question
Write the word "basalt" in lowercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: basalt_basalt_basalt_basalt_basalt_basalt_basalt_basalt
correctif.constraints.stack-v1conf 100% · 871ms · $0.001 · 2061 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "cedar" and the last word must be "basalt".
3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar forests gave way to open plains where zephyr whispered, zephyr sighed, zephyr danced, then basalt.
correctif.format.acronym-v1conf 100% · 800ms · $0.000 · 161 tok
question
Take the second letter of each of these words, in order: drift, delta, zephyr, falcon. 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: REEA
wrongif.constraints.stack-v1conf 100% · 834ms · $0.001 · 851 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "prism" and the last word must be "flint".
3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism of winter morning light, a silent falcon flies, another falcon waits, cold air bites, frost glitters like a falcon's eye, sharp as flint
correctif.format.repeat-v1conf 100% · 611ms · $0.000 · 34 tok
question
Write the word "basalt" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT
wrongif.constraints.stack-v1conf 100% · 796ms · $0.000 · 52 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "prism" and the last word must be "drift".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism of city lights, a tundra of concrete, a tundra of stars, silent dreams drift.
correctif.format.acronym-v1conf 100% · 542ms · $0.000 · 101 tok
question
Take the third letter of each of these words, in order: prism, zephyr, falcon, quartz, basalt, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IPLASM
correctif.format.repeat-v1conf 100% · 626ms · $0.000 · 31 tok
question
Write the word "basalt" 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: basalt_basalt_basalt_basalt_basalt_basalt_basalt
correctif.format.acronym-v1conf 100% · 1.2s · $0.000 · 114 tok
question
Take the second letter of each of these words, in order: falcon, comet, ember, orbit, 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: AOMRL
correctif.format.repeat-v1conf 95% · 639ms · $0.000 · 19 tok
question
Write the word "basalt" in capitalized form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BASALT-BASALT-BASALT
wrongif.constraints.stack-v1conf 100% · 1.7s · $0.000 · 42 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "tundra" and the last word must be "delta".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra flint flint flint cold crisp air sharp as a delta
correctif.format.acronym-v1conf 100% · 1.1s · $0.000 · 45 tok
question
Take the first letter of each of these words, in order: echo, falcon, ember, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EFEQ
correctif.format.repeat-v1conf 95% · 1.6s · $0.000 · 20 tok
question
Write the word "lumen" in uppercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LUMEN/LUMEN/LUMEN
correctif.format.acronym-v1conf 95% · 1.6s · $0.000 · 334 tok
question
Take the second letter of each of these words, in order: basalt, delta, nova, ember, flint, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: AEOMLO
wrongif.constraints.stack-v1conf 95% · 673ms · $0.000 · 30 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "comet" and the last word must be "orbit".
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 strikes flint, sparks fly; flint ignites neon city lights in a silent orbit
correctif.format.repeat-v1conf 100% · 1.0s · $0.000 · 28 tok
question
Write the word "echo" in lowercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo-echo-echo-echo-echo-echo-echo-echo-echo
wrongif.constraints.stack-v1conf 95% · 720ms · $0.000 · 26 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "lumen" and the last word must be "basalt".
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 falcon falcon machine, old and silent, rests on basalt
correctif.format.acronym-v1conf 100% · 916ms · $0.000 · 135 tok
question
Take the second letter of each of these words, in order: flint, cedar, lumen, nova, tundra, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LEUOUR
correctif.format.repeat-v1conf 100% · 470ms · $0.000 · 22 tok
question
Write the word "orbit" 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: ORBIT_ORBIT_ORBIT_ORBIT
correctif.format.acronym-v1conf 100% · 854ms · $0.000 · 92 tok
question
Take the second letter of each of these words, in order: basalt, quartz, prism, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: AURC
correctif.format.repeat-v1conf 100% · 1.5s · $0.000 · 28 tok
question
Write the word "flint" in uppercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT/FLINT/FLINT/FLINT/FLINT/FLINT
correctif.format.acronym-v1conf 100% · 927ms · $0.000 · 158 tok
question
Take the second letter of each of these words, in order: orbit, cedar, falcon, 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: REAU
wrongif.constraints.stack-v1conf 100% · 1.5s · $0.000 · 27 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "nova" and the last word must be "prism".
3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova sea holds an ember, a fading ember, in its vast prism
correctif.format.repeat-v1anchorconf 100% · 487ms · $0.000 · 34 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.acronym-v1anchorconf 100% · 1.1s · $0.000 · 107 tok
model answer: ZDFQ
wrongif.constraints.stack-v1anchorconf 100% · 698ms · $0.000 · 55 tok
model answer: drift through the city's lumen, a lumen of neon signs, each lumen a star in our shared orbit.
correctif.format.repeat-v1anchorconf 100% · 2.7s · $0.000 · 35 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 681ms · $0.000 · 12 tok
question
What is 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: Abuja
correctknowledge.fr.factbank-v2conf 100% · 511ms · $0.000 · 12 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: Ottawa
correctknowledge.fr.factbank-v2conf 95% · 520ms · $0.000 · 13 tok
question
Identify the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 95% · 607ms · $0.000 · 12 tok
question
Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 519ms · $0.000 · 12 tok
question
Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 95% · 889ms · $0.000 · 12 tok
question
What is the element whose symbol is Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 831ms · $0.000 · 15 tok
question
What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 739ms · $0.000 · 12 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 95% · 679ms · $0.000 · 12 tok
question
Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 95% · 783ms · $0.000 · 12 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: Ottawa
correctknowledge.fr.factbank-v2conf 95% · 684ms · $0.000 · 12 tok
question
Identify 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: Mercury
correctknowledge.fr.factbank-v2conf 95% · 664ms · $0.000 · 13 tok
question
Identify the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 95% · 606ms · $0.000 · 12 tok
question
Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 95% · 10.0s · $0.000 · 12 tok
question
Name the capital of Switzerland.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 12 tok
question
What is the Canadian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 95% · 673ms · $0.000 · 12 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: Tin
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $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: Brasília
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 12 tok
question
Name the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 95% · 1.2s · $0.000 · 13 tok
question
What is the chemical element with symbol W?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 981ms · $0.000 · 13 tok
question
What is the element whose symbol is W?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 95% · 1.1s · $0.000 · 17 tok
question
What is the author of "Snow Country"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $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: Brasília
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 12 tok
question
What is the chemical element with symbol K?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 12 tok
question
Name 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: Mercury
correctknowledge.fr.factbank-v2conf 95% · 616ms · $0.000 · 13 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: Antimony
correctknowledge.fr.factbank-v2conf 100% · 554ms · $0.000 · 12 tok
question
Identify the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2anchorconf 95% · 633ms · $0.000 · 12 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 633ms · $0.000 · 13 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 95% · 1.1s · $0.000 · 13 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 639ms · $0.000 · 12 tok
model answer: Lead
math 30/30 correct
correctmath.counterfactual.base-v1conf 100% · 762ms · $0.002 · 2383 tok
question
Work strictly in base 11. Multiply the base-11 numbers 79 and 14. 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: A73
correctmath.chained.pipeline-v1conf 100% · 626ms · $0.000 · 129 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 22 × 60.
Step 2: Q = P × 9 − 939.
Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3647
correctmath.counterfactual.base-v1conf 100% · 653ms · $0.000 · 506 tok
question
Work strictly in base 11. Multiply the base-11 numbers 21 and 60. 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: 1160
correctmath.percent.chain-v2conf 100% · 1.2s · $0.000 · 341 tok
question
An inventory starts at 25000 units. Each pallet weighs about 98 grams more when wet. In the first month the inventory grows by 45%. The warehouse was painted 77 years ago. The next month it shrinks by 24%, 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: 33886.5
correctmath.algebra.system-v2conf 100% · 786ms · $0.000 · 169 tok
question
Solve the system, then answer the derived question.

8x + 3y = 308
9x − 9y = 297

What is the value of 6x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 206
correctmath.arith.chain-v2conf 100% · 651ms · $0.000 · 171 tok
question
Work out the exact value of this expression.

(((97 × 89 − 665) × 7 + 5176) − 17 × 65) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 359082
correctmath.chained.pipeline-v1conf 100% · 630ms · $0.000 · 127 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 16 × 27.
Step 2: Q = P × 7 − 795.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 374
correctmath.percent.chain-v2conf 100% · 454ms · $0.000 · 267 tok
question
An inventory starts at 16000 units. Each pallet weighs about 89 grams more when wet. In the first month the inventory grows by 44%. A rival firm shipped 99 unrelated parcels the same week. The next month it shrinks by 32%, and the month after it grows by 20%. 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: 18800.64
correctmath.arith.chain-v2conf 100% · 750ms · $0.000 · 207 tok
question
Work out the exact value of this expression.

(((69 × 53 − 322) × 5 + 8741) − 38 × 45) × 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: 165942
correctmath.algebra.system-v2conf 100% · 775ms · $0.000 · 256 tok
question
Solve the system, then answer the derived question.

4x + 9y = -154
6x − 6y = 354

What is the value of 5x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 295
correctmath.counterfactual.base-v1conf 100% · 844ms · $0.000 · 582 tok
question
Work strictly in base 13. Add the base-13 numbers 7A7 and 5B1. 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: 1088
correctmath.chained.pipeline-v1conf 100% · 785ms · $0.000 · 136 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 79 × 47.
Step 2: Q = P × 6 − 271.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3672
correctmath.percent.chain-v2conf 100% · 591ms · $0.000 · 493 tok
question
An inventory starts at 42000 units. Each pallet weighs about 25 grams more when wet. In the first month the inventory grows by 41%. Each pallet weighs about 173 grams more when wet. The next month it shrinks by 5%, and the month after it grows by 37%. 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: 77074.83
correctmath.algebra.system-v2conf 100% · 821ms · $0.000 · 183 tok
question
Solve the system, then answer the derived question.

6x + 4y = -100
6x − 7y = -419

What is the value of 5x − 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: -267
correctmath.counterfactual.base-v1conf 100% · 650ms · $0.000 · 670 tok
question
Work strictly in base 7. Add the base-7 numbers 1423 and 11466. 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: 13222
correctmath.arith.chain-v2conf 100% · 1.0s · $0.000 · 164 tok
question
Compute the value of the following expression.

(((60 × 36 − 278) × 6 + 1359) − 28 × 62) × 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: 32745
correctmath.chained.pipeline-v1conf 100% · 571ms · $0.000 · 110 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 30 × 13.
Step 2: Q = P × 3 − 638.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 76
correctmath.percent.chain-v2conf 100% · 695ms · $0.000 · 248 tok
question
An inventory starts at 31000 units. Each pallet weighs about 105 grams more when wet. In the first month the inventory grows by 45%. Each pallet weighs about 112 grams more when wet. The next month it shrinks by 43%, and the month after it grows by 12%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 28696.08
correctmath.counterfactual.base-v1conf 100% · 450ms · $0.001 · 782 tok
question
Work strictly in base 13. Add the base-13 numbers 4CA and 1390. 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: 188A
correctmath.algebra.system-v2conf 100% · 561ms · $0.000 · 202 tok
question
Solve the system, then answer the derived question.

5x + 6y = 103
6x − 3y = -9

What is the value of 3x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -11
correctmath.arith.chain-v2conf 100% · 660ms · $0.000 · 195 tok
question
Calculate the following. Show your reasoning, then answer.

(((96 × 54 − 680) × 7 + 4525) − 83 × 86) × 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: 57830
correctmath.chained.pipeline-v1conf 100% · 787ms · $0.000 · 135 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 86 × 88.
Step 2: Q = P × 9 − 641.
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: 16870
correctmath.percent.chain-v2conf 100% · 1.5s · $0.000 · 205 tok
question
An inventory starts at 45000 units. A rival firm shipped 95 unrelated parcels the same week. In the first month the inventory grows by 28%. A rival firm shipped 56 unrelated parcels the same week. The next month it shrinks by 43%, and the month after it grows by 29%. 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: 42353.28
correctmath.algebra.system-v2conf 100% · 1.5s · $0.000 · 273 tok
question
Solve the system, then answer the derived question.

6x + 8y = -264
8x − 9y = -116

What is the value of 5x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -80
correctmath.arith.chain-v2conf 100% · 947ms · $0.000 · 149 tok
question
Evaluate the expression below and give the result.

(((30 × 65 − 640) × 5 + 4473) − 17 × 32) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 62874
correctmath.counterfactual.base-v1anchorconf 100% · 693ms · $0.000 · 652 tok
model answer: 11236
correctmath.chained.pipeline-v1conf 100% · 10.0s · $0.000 · 108 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 14 × 15.
Step 2: Q = P × 8 − 684.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 166
correctmath.percent.chain-v2anchorconf 95% · 599ms · $0.000 · 397 tok
model answer: 61896.52
correctmath.arith.chain-v2anchorconf 100% · 722ms · $0.000 · 292 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 100% · 503ms · $0.000 · 218 tok
model answer: 87
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 791ms · $0.000 · 163 tok
question
A number is written in French: « deux cent cinquante-six ». Another is written in Spanish: « doscientos once ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 45
correctmultilingual.wordnum-v1conf 100% · 870ms · $0.000 · 152 tok
question
A number is written in French: « quatre cent soixante ». Another is written in Spanish: « quinientos 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: 1037
correctmultilingual.numword-v2conf 100% · 669ms · $0.000 · 15 tok
question
Compute 66 + 447, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos trece
correctmultilingual.numword-v2conf 100% · 464ms · $0.000 · 48 tok
question
Compute 359 + 241, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos
correctmultilingual.wordnum-v1conf 100% · 572ms · $0.000 · 83 tok
question
A number is written in French: « quatre cent vingt-quatre ». Another is written in Spanish: « doscientos treinta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 655
correctmultilingual.wordnum-v1conf 100% · 494ms · $0.000 · 79 tok
question
A number is written in French: « deux cent trente-quatre ». Another is written in Spanish: « doscientos cuarenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 480.
correctmultilingual.numword-v2conf 100% · 746ms · $0.000 · 18 tok
question
Compute 386 + 200, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos ochenta y seis
correctmultilingual.wordnum-v1conf 100% · 909ms · $0.000 · 220 tok
question
A number is written in French: « sept cent quatre-vingt-dix-sept ». Another is written in Spanish: « trescientos setenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1170
correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 317 tok
question
Compute 480 + 114, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent quatre-vingt-quatorze
correctmultilingual.numword-v2conf 100% · 641ms · $0.000 · 57 tok
question
Compute 494 + 250, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos cuarenta y cuatro
correctmultilingual.wordnum-v1conf 100% · 690ms · $0.000 · 240 tok
question
A number is written in French: « six cent quatre-vingt-dix-huit ». Another is written in Spanish: « 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: 644
correctmultilingual.wordnum-v1conf 100% · 885ms · $0.000 · 98 tok
question
A number is written in French: « trois cent soixante et un ». Another is written in Spanish: « novecientos cuarenta 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: 1305
correctmultilingual.numword-v2conf 100% · 834ms · $0.000 · 60 tok
question
Compute 204 + 163, 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 sesenta y siete
correctmultilingual.wordnum-v1conf 100% · 708ms · $0.000 · 156 tok
question
A number is written in French: « sept cent soixante-trois ». Another is written in Spanish: « ochocientos 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: 1570
correctmultilingual.numword-v2conf 100% · 541ms · $0.000 · 59 tok
question
Compute 464 + 456, 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 veinte
correctmultilingual.numword-v2conf 100% · 908ms · $0.000 · 62 tok
question
Compute 474 + 167, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos cuarenta y uno
correctmultilingual.wordnum-v1conf 100% · 556ms · $0.000 · 84 tok
question
A number is written in French: « six cent un ». Another is written in Spanish: « doscientos 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: 397
correctmultilingual.wordnum-v1conf 100% · 604ms · $0.000 · 78 tok
question
A number is written in French: « six cent onze ». Another is written in Spanish: « ciento sesenta 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: 778
correctmultilingual.numword-v2conf 100% · 708ms · $0.000 · 16 tok
question
Compute 443 + 129, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos setenta y dos
correctmultilingual.wordnum-v1conf 100% · 815ms · $0.000 · 157 tok
question
A number is written in French: « sept cent cinquante-sept ». Another is written in Spanish: « ciento cuarenta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 898
correctmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 34 tok
question
Compute 240 + 277, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent dix-sept
correctmultilingual.numword-v2conf 100% · 606ms · $0.000 · 104 tok
question
Compute 330 + 189, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent dix-neuf
correctmultilingual.wordnum-v1conf 100% · 619ms · $0.000 · 81 tok
question
A number is written in French: « cinq cent deux ». Another is written in Spanish: « trescientos sesenta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 863
correctmultilingual.numword-v2conf 100% · 681ms · $0.000 · 76 tok
question
Compute 450 + 369, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: huit cent dix-neuf
correctmultilingual.wordnum-v1conf 100% · 666ms · $0.000 · 112 tok
question
A number is written in French: « quatre-vingt-un ». Another is written in Spanish: « trescientos sesenta 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: -281.
correctmultilingual.numword-v2anchorconf 100% · 10.0s · $0.000 · 100 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.numword-v2conf 100% · 985ms · $0.000 · 58 tok
question
Compute 218 + 61, 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 setenta y nueve
correctmultilingual.wordnum-v1anchorconf 100% · 515ms · $0.000 · 152 tok
model answer: 150
correctmultilingual.wordnum-v1anchorconf 100% · 1.2s · $0.000 · 142 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 100% · 1.2s · $0.000 · 51 tok
model answer: seiscientos ocho
reasoning 29/30 correct
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.position-v1conf · · · tok
question
Four people stand in a queue (number 1 is the front). Goran is number 3 in the queue. Chen is directly ahead of Nadir. Nadir is directly ahead of Goran. 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: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 468ms · $0.000 · 76 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 3 in the queue. Bruno is directly ahead of Ola. Priya is directly ahead of Bruno. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf 100% · 430ms · $0.000 · 377 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Rosa. Emil is faster than Goran. Goran is faster than Bruno. Rosa is faster than Bruno. Emil is faster than Bruno. Ines is faster than Emil. Farah is taller than everyone here, but Farah is not being ranked. Goran is faster than Kira. Tessa is faster than Ines. Emil is faster than Rosa. 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: Goran
correctreasoning.deduction.position-v1conf 100% · 538ms · $0.000 · 233 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Kira. Kira is directly ahead of Mona. Jonas is number 4 in the queue. Mona is directly ahead of Jonas. 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: Mona
correctreasoning.deduction.order-v2conf 100% · 500ms · $0.000 · 456 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Alice. Tessa is taller than Sami. Alice is taller than Liam. Priya is taller than Ola. Priya is taller than Alice. Nadir is heavier than everyone here, but Nadir is not being ranked. Priya is taller than Liam. Liam is taller than Quinn. Sami is taller than Priya. Sami is taller than Quinn. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 843ms · $0.000 · 144 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Ola. Ola is number 3 in the queue. Chen is directly ahead of Jonas. 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: Jonas
correctreasoning.deduction.order-v2conf 100% · 607ms · $0.000 · 402 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Emil. Kira is older than Bruno. Kira is older than Nadir. Bruno is older than Ines. Emil is older than Rosa. Emil is older than Nadir. Goran is older than Kira. Bruno is older than Emil. Hana is heavier than everyone here, but Hana is not being ranked. Nadir is older than Rosa. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
correctreasoning.deduction.position-v1conf 100% · 466ms · $0.000 · 229 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Chen. Farah is number 2 in the queue. Rosa is directly ahead of Farah. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.order-v2conf 100% · 673ms · $0.000 · 302 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Goran. Liam is older than Ines. Quinn is older than Liam. Liam is older than Ines. Goran is older than Quinn. Tessa is older than Dara. Dara is older than Ines. Tessa is older than Ines. Jonas is taller than everyone here, but Jonas is not being ranked. Liam is older than Tessa. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.position-v1conf 100% · 804ms · $0.000 · 300 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Ola. Priya is directly ahead of Tessa. Bruno is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 630ms · $0.000 · 389 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Rosa. Rosa is heavier than Kira. Goran is heavier than Liam. Rosa is heavier than Goran. Goran is heavier than Kira. Alice is heavier than Priya. Priya is heavier than Emil. Liam is heavier than Kira. Nadir is faster than everyone here, but Nadir is not being ranked. Goran is heavier than Kira. 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: Emil
correctreasoning.deduction.order-v2conf 100% · 3.8s · $0.000 · 298 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Rosa. Quinn is taller than Sami. Rosa is taller than Ines. Mona is taller than Sami. Tessa is taller than Sami. Mona is taller than Tessa. Ines is taller than Quinn. Jonas is taller than Mona. Jonas is taller than Sami. Kira is older than everyone here, but Kira 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: Rosa
correctreasoning.deduction.position-v1conf 100% · 802ms · $0.000 · 290 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 2 in the queue. Tessa is directly ahead of Jonas. Nadir 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: Farah
correctreasoning.deduction.order-v2conf 100% · 694ms · $0.000 · 390 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is taller than everyone here, but Nadir is not being ranked. Ines is heavier than Quinn. Ola is heavier than Hana. Ines is heavier than Hana. Priya is heavier than Goran. Quinn is heavier than Hana. Bruno is heavier than Quinn. Hana is heavier than Priya. Bruno is heavier than Ines. Ola is heavier than Bruno. 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: Priya
correctreasoning.deduction.position-v1conf 100% · 791ms · $0.000 · 220 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 4 in the queue. Ines is directly ahead of Mona. Nadir is directly ahead of Ines. Chen is directly ahead of Nadir. 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: Nadir
correctreasoning.deduction.order-v2conf 100% · 630ms · $0.000 · 306 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Ola. Mona is older than Ines. Nadir is older than Chen. Alice is older than Mona. Nadir is older than Emil. Ola is older than Nadir. Sami is faster than everyone here, but Sami is not being ranked. Chen is older than Emil. Ola is older than Chen. Ola is older than Chen. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 100% · 469ms · $0.000 · 552 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Jonas. Jonas is faster than Chen. Tessa is faster than Hana. Farah is faster than Tessa. Quinn is heavier than everyone here, but Quinn is not being ranked. Chen is faster than Kira. Kira is faster than Farah. Dara is faster than Chen. Chen is faster than Hana. Kira is faster than Hana. 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: Farah
correctreasoning.deduction.position-v1conf 100% · 419ms · $0.000 · 198 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Kira. Kira is number 4 in the queue. Bruno is directly ahead of Ines. Ines is directly ahead of Priya. 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: Ines
correctreasoning.deduction.order-v2conf 100% · 658ms · $0.000 · 584 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Rosa. Rosa is faster than Nadir. Alice is faster than Nadir. Hana is faster than Priya. Kira is heavier than everyone here, but Kira is not being ranked. Nadir is faster than Jonas. Alice is faster than Hana. Ines is faster than Nadir. Alice is faster than Rosa. Priya is faster than Ines. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 829ms · $0.000 · 175 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 2 in the queue. Rosa is directly ahead of Goran. Chen is directly ahead of Hana. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 100% · 697ms · $0.000 · 469 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Chen. Sami is heavier than Emil. Hana is heavier than Sami. Kira is older than everyone here, but Kira is not being ranked. Quinn is heavier than Liam. Quinn is heavier than Ines. Liam is heavier than Sami. Emil is heavier than Ines. Chen is heavier than Hana. Chen is heavier than Emil. 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: Chen
correctreasoning.deduction.position-v1conf 100% · 731ms · $0.000 · 93 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Alice. Alice is number 2 in the queue. Quinn 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: Quinn
correctreasoning.deduction.position-v1conf 100% · 768ms · $0.000 · 177 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Ola. Ola is number 2 in the queue. Chen is directly ahead of Dara. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.position-v1conf 100% · 690ms · $0.000 · 260 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Chen. Chen is directly ahead of Quinn. Farah is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.order-v2conf 100% · 707ms · $0.000 · 384 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Rosa. Priya is heavier than Rosa. Priya is heavier than Ola. Emil is taller than everyone here, but Emil is not being ranked. Tessa is heavier than Chen. Chen is heavier than Ola. Kira is heavier than Priya. Chen is heavier than Kira. Kira is heavier than Ola. Farah is heavier than Tessa. 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: Kira
correctreasoning.deduction.order-v2conf 100% · 10.0s · $0.000 · 513 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Ola. Hana is taller than Goran. Goran is taller than Quinn. Goran is taller than Ola. Bruno is faster than everyone here, but Bruno is not being ranked. Quinn is taller than Priya. Ola is taller than Nadir. Kira is taller than Priya. Goran is taller than Kira. Quinn is taller than Kira. 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: Kira
correctreasoning.deduction.order-v2anchorconf 100% · 421ms · $0.000 · 449 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 659ms · $0.000 · 425 tok
model answer: Quinn.
correctreasoning.deduction.order-v2anchorconf 100% · 625ms · $0.001 · 653 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 100% · 600ms · $0.000 · 257 tok
model answer: Farah
terminal 26/30 correct
correctterminal.exit.chain-v1conf 100% · 612ms · $0.001 · 755 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
app.txt
data.txt
notes.txt
```

`notes.txt` contains exactly the words: amber, dune (one per line). No other files exist.

These statements run in order:

```sh
test -f app.txt && echo A || echo B
test -f ghost.txt && echo C || echo D
test -f ghost.txt && echo E || echo F
test -f app.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F Z exit:0
correctterminal.fs.tree-v1conf 95% · 506ms · $0.001 · 1660 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/build`):

```
/proj/build/notes.log
/proj/docs/index.txt
/proj/docs/setup.txt
/proj/draft.log
/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
rm draft.log
cp main.md docs/
cp docs/index.txt build/
mkdir -p build/assets-7
cp build/index.txt ./
mkdir -p build/conf-3
mv build/index.txt logs/
mkdir -p build/assets-7/logs-1
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/notes.log /proj/docs/index.txt /proj/docs/main.md /proj/docs/setup.txt /proj/index.txt /proj/logs/index.txt /proj/main.md
correctterminal.fs.tree-v1conf 100% · 622ms · $0.001 · 903 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/src`):

```
/proj/conf/draft.log
/proj/conf/util.cfg
/proj/docs/index.txt
/proj/setup.cfg
/proj/todo.log
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
mkdir -p conf/build-1
mv conf/draft.log conf/report-7.log
cp docs/index.txt src/
rm docs/index.txt
rm src/index.txt
cp conf/util.cfg docs/
mkdir -p conf/logs-8
rm setup.cfg
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/report-7.log /proj/conf/util.cfg /proj/docs/util.cfg /proj/todo.log
correctterminal.pipeline.predict-v1conf 100% · 797ms · $0.000 · 260 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,legal,60,25
ana,legal,57,41
ivy,eng,74,16
fay,hr,88,47
gus,sales,64,32
oli,ops,84,17
dev,ops,102,12
pam,ops,116,48
lou,hr,53,40
ned,sales,32,10
jon,eng,75,62
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 49 { n += 1 } END { print n }'
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
correctterminal.exit.chain-v1conf · 458ms · $0.001 · 571 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
data.txt
notes.txt
```

`notes.txt` contains exactly the words: amber, basil (one per line). No other files exist.

These statements run in order:

```sh
grep -q coral notes.txt && echo A || echo B
false && echo C || echo D
test -f ghost.txt && echo E || echo F
test -f data.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 583ms · $0.000 · 326 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,legal,65,83
cy,sales,92,68
ivy,ops,22,86
gus,hr,82,74
eli,eng,115,75
bo,ops,32,87
ana,sales,17,50
lou,eng,72,86
oli,ops,5,62
ned,legal,43,22
hal,legal,76,49
jon,sales,14,21
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 57 { 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: 1
correctterminal.fs.tree-v1conf 95% · 592ms · $0.001 · 1512 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/build`):

```
/proj/build/todo.txt
/proj/build/util.md
/proj/conf/setup.txt
/proj/index.cfg
/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 build/draft-9.md
touch docs/draft-8.cfg
rm report.log
cd build
rm ../../proj/docs/draft-8.cfg
touch ../../proj/docs/index-4.txt
mv ../../proj/docs/index-4.txt ../../proj/
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft-9.md /proj/build/todo.txt /proj/build/util.md /proj/conf/setup.txt /proj/index-4.txt /proj/index.cfg
wrongterminal.exit.chain-v1conf 95% · 590ms · $0.001 · 1147 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
app.txt
data.txt
notes.txt
```

`notes.txt` contains exactly the words: dune, coral (one per line). No other files exist.

These statements run in order:

```sh
test -f tmp.txt && echo A || echo B
test -f data.txt && echo C || echo D
true && 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: C E exit:1
correctterminal.exit.chain-v1conf 95% · 460ms · $0.001 · 644 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
false && echo A || echo B
true && echo C || echo D
grep -q dune notes.txt && echo E || echo F
test -f ghost.txt && echo G || echo H
test -f ghost.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E H exit:1
correctterminal.pipeline.predict-v1conf 100% · 762ms · $0.000 · 321 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,legal,47,76
ned,legal,9,31
bo,ops,99,64
hal,eng,19,48
dev,sales,41,30
pam,eng,87,10
ana,ops,75,74
kim,hr,93,66
lou,eng,98,40
cy,hr,56,61
gus,sales,54,38
eli,legal,28,33
fay,hr,58,39
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 76 { 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: 0
correctterminal.fs.tree-v1conf 95% · 612ms · $0.001 · 1918 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/src`):

```
/proj/assets/notes.log
/proj/conf/index.cfg
/proj/conf/todo.cfg
/proj/report.cfg
/proj/util.md
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
rm report.cfg
mkdir -p conf/docs-8
cd conf/docs-8
rm ../../../proj/conf/todo.cfg
cd ../../../proj/conf
mkdir -p ../../proj/src/docs-7
mkdir -p docs-8/src-5
cd docs-8
touch draft-4.md
mv ../../../proj/assets/notes.log ../../../proj/assets/util-7.cfg
cd ../../../proj/src
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/util-7.cfg /proj/conf/docs-8/draft-4.md /proj/conf/index.cfg /proj/util.md
correctterminal.pipeline.predict-v1conf 100% · 555ms · $0.000 · 162 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,sales,30,13
bo,hr,90,16
max,ops,45,82
eli,eng,55,32
pam,legal,75,97
gus,ops,21,71
hal,sales,91,46
oli,ops,96,38
dev,eng,60,55
ivy,eng,110,49
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' 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: bo,90
wrongterminal.exit.chain-v1conf 100% · 531ms · $0.001 · 587 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
app.txt
notes.txt
```

`notes.txt` contains exactly the words: dune, coral (one per line). No other files exist.

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
true && echo C || echo D
test -f tmp.txt && echo E || echo F
test -f ghost.txt && echo G || echo H
test -f ghost.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: C F H exit:1
correctterminal.fs.tree-v1conf 95% · 768ms · $0.001 · 991 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/assets`, `/proj/logs`):

```
/proj/assets/notes.md
/proj/docs/util.txt
/proj/logs/index.md
/proj/main.cfg
/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
mkdir -p assets-1
rm logs/index.md
cp docs/util.txt assets/
mkdir -p logs/src-1
mv assets/notes.md assets/draft-6.txt
cd .
mkdir -p docs-1
rm docs/util.txt
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft-6.txt /proj/assets/util.txt /proj/main.cfg /proj/report.txt
correctterminal.fs.tree-v1conf · 509ms · $0.002 · 2899 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/assets`):

```
/proj/assets/notes.cfg
/proj/logs/draft.log
/proj/logs/index.md
/proj/main.md
/proj/todo.md
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
touch notes-8.txt
cd logs
touch ../../proj/main-9.md
cp index.md ../../proj/conf/
mkdir -p ../../proj/assets/assets-3
touch ../../proj/todo-4.md
mv ../../proj/notes-8.txt ../../proj/draft-2.log
cd ../../proj/assets/assets-3
mv ../../../proj/main.md ../../../proj/
mv ../../../proj/todo.md ../../../proj/setup-8.txt
cd ../../../proj/conf
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/notes.cfg /proj/conf/index.md /proj/draft-2.log /proj/logs/draft.log /proj/logs/index.md /proj/main-9.md /proj/main.md /proj/setup-8.txt /proj/todo-4.md
correctterminal.pipeline.predict-v1conf 100% · 454ms · $0.000 · 357 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,hr,26,11
cy,hr,4,74
gus,sales,32,99
ned,legal,71,18
lou,sales,34,69
oli,hr,65,69
eli,ops,17,40
dev,sales,30,75
kim,legal,12,76
fay,ops,101,41
hal,hr,97,53
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 60 { n += 1 } END { print n }'
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3
correctterminal.exit.chain-v1conf · 617ms · $0.001 · 684 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, amber (one per line). No other files exist.

These statements run in order:

```sh
test -f app.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
test -f data.txt && echo E || echo F
test -f app.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E Z exit:0
correctterminal.fs.tree-v1conf 95% · 971ms · $0.002 · 2738 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`):

```
/proj/logs/main.cfg
/proj/notes.md
/proj/setup.md
/proj/src/draft.txt
/proj/src/todo.md
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
touch logs/report-3.md
cd .
touch notes-5.log
cd src
mv draft.txt ./
mv ../../proj/setup.md ../../proj/setup-4.txt
cd ../../proj
touch build/draft-5.md
cp logs/report-3.md build/
cd logs
rm ../../proj/build/report-3.md
cd .
rm main.cfg
cd ../../proj/src
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft-5.md /proj/logs/report-3.md /proj/notes-5.log /proj/notes.md /proj/setup-4.txt /proj/src/draft.txt /proj/src/todo.md
correctterminal.pipeline.predict-v1conf 100% · 531ms · $0.001 · 859 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,ops,119,26
jon,eng,91,82
bo,sales,100,59
kim,eng,88,31
ned,ops,93,86
max,legal,51,39
gus,hr,96,59
eli,sales,111,51
dev,sales,17,67
ana,sales,94,26
fay,ops,7,81
lou,ops,70,44
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 2
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: jon,91 kim,88
correctterminal.exit.chain-v1conf 100% · 967ms · $0.000 · 475 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
app.txt
data.txt
notes.txt
```

`notes.txt` contains exactly the words: amber, basil (one per line). No other files exist.

These statements run in order:

```sh
false && echo A || echo B
grep -q amber notes.txt && echo C || echo D
grep -q amber notes.txt && echo E || echo F
true && echo G || echo H
test -f app.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E G Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 466ms · $0.001 · 658 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,hr,41,84
ana,eng,111,99
dev,ops,89,96
eli,ops,92,44
cy,ops,17,39
bo,legal,114,12
pam,legal,80,90
fay,eng,69,63
hal,ops,108,43
kim,legal,120,79
lou,sales,21,96
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' 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: pam,legal,80,90 bo,legal,114,12 kim,legal,120,79
correctterminal.fs.tree-v1conf 95% · 742ms · $0.001 · 1205 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/assets`, `/proj/logs`):

```
/proj/assets/draft.cfg
/proj/assets/setup.md
/proj/build/todo.log
/proj/report.log
/proj/util.cfg
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
mkdir -p logs/assets-6
touch logs/index-8.log
cd build
rm ../../proj/assets/setup.md
cd .
touch ../../proj/main-4.md
cp todo.log ../../proj/logs/assets-6/
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.cfg /proj/build/todo.log /proj/logs/assets-6/todo.log /proj/logs/index-8.log /proj/main-4.md /proj/report.log /proj/util.cfg
correctterminal.exit.chain-v1conf · 657ms · $0.001 · 606 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
test -f data.txt && echo A || echo B
test -f app.txt && 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:0
wrongterminal.pipeline.predict-v1conf 100% · 817ms · $0.001 · 585 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,legal,73,21
fay,legal,39,28
max,hr,100,31
bo,hr,74,46
hal,sales,63,10
dev,ops,34,41
oli,legal,117,27
ivy,hr,10,85
ana,legal,67,14
gus,eng,104,95
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: hal,63 CONFIDENCE: 100
correctterminal.fs.tree-v1conf 95% · 532ms · $0.001 · 1749 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/src`, `/proj/build`):

```
/proj/build/index.txt
/proj/draft.md
/proj/main.txt
/proj/src/report.txt
/proj/src/setup.cfg
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
mkdir -p build/docs-8
cp src/report.txt build/
cd build/docs-8
mv ../../../proj/src/report.txt ../../../proj/src/todo-1.log
mkdir -p conf-8
cp ../../../proj/build/index.txt conf-8/
cd ../../../proj/build
touch ../../proj/main-3.txt
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/docs-8/conf-8/index.txt /proj/build/index.txt /proj/build/report.txt /proj/draft.md /proj/main-3.txt /proj/main.txt /proj/src/setup.cfg /proj/src/todo-1.log
wrongterminal.exit.chain-v1conf 100% · 601ms · $0.001 · 783 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, amber (one per line). No other files exist.

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
test -f app.txt && echo C || echo D
test -f ghost.txt && echo E || echo F
grep -q coral notes.txt && echo G || echo H
test -f ghost.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: C F H exit:1
correctterminal.pipeline.predict-v1anchorconf 100% · 2.3s · $0.000 · 492 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.fs.tree-v1anchorconf 95% · 744ms · $0.001 · 1522 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
correctterminal.exit.chain-v1anchorconf 100% · 1.0s · $0.001 · 750 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 100% · 10.1s · $0.001 · 512 tok
model answer: 1

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