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Arcee AI: Trinity Large Thinking
arcee-ai/trinity-large-thinking · arcee-ai · context 262 144 · in $0.220/1M · out $0.850/1M
Global Index
839
95% CI [788–889] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 864 [742–987] | 0.789 | 0.94 | 1.00 | 0.000 | 428ms | $1.91 | |
| code | 876 [758–994] | 0.797 | 0.98 | 1.00 | 0.000 | 367ms | $1.31 | |
| instruction following | 847 [713–981] | 0.771 | 0.90 | 1.00 | 0.000 | 353ms | $1.70 | |
| knowledge | 723 [550–896] | 0.551 | 0.95 | 1.00 | 0.000 | 294ms | $0.314 | |
| math | 843 [691–994] | 0.742 | 0.98 | 1.00 | 0.000 | 371ms | $0.764 | |
| multilingual | 826 [664–987] | 0.710 | 1.00 | 1.00 | 0.000 | 298ms | $0.487 | |
| reasoning | 849 [701–996] | 0.748 | 1.00 | 1.00 | 0.000 | 380ms | $1.46 | |
| terminal | 881 [766–996] | 0.802 | 1.00 | 1.00 | 0.000 | 386ms | $2.48 |
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 18/30 correct
truncatedagentic.tools.context-load-v1conf — · 520ms · $0.015 · 16384 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 (293 records, format: id|customer|region|item|qty|status):
```
1911|cobalt|west|sensor|41|paid
1776|cobalt|south|panel|83|paid
2371|cobalt|south|cable|24|paid
1585|acme|west|rotor|44|paid
1667|cobalt|east|gasket|48|held
2642|dorian|west|gasket|71|held
2597|birch|west|gasket|55|shipped
2193|ionic|west|sensor|49|paid
1588|harbor|north|panel|31|held
1530|dorian|south|pump|81|pending
2499|gale|south|panel|56|shipped
2158|acme|north|valve|51|paid
2072|acme|east|sensor|15|shipped
2376|gale|south|rotor|73|held
2214|birch|west|pump|28|pending
1725|fulton|north|pump|30|held
1754|dorian|west|cable|31|shipped
2635|birch|south|valve|62|held
1937|ember|north|sensor|32|shipped
2170|birch|east|sensor|93|paid
2678|harbor|west|valve|15|held
2451|acme|east|sensor|81|paid
1571|birch|east|frame|20|paid
1895|ionic|east|rotor|39|pending
1698|fulton|west|pump|90|held
1612|birch|east|rotor|11|pending
2171|ember|west|pump|73|pending
2021|dorian|west|rotor|82|paid
2648|juno|north|panel|91|paid
2418|dorian|north|pump|57|pending
1717|juno|west|sensor|14|shipped
1731|ember|north|cable|88|paid
2275|cobalt|east|sensor|33|held
2041|ember|north|sensor|61|pending
2034|ember|north|valve|82|shipped
2265|birch|north|cable|16|shipped
1514|dorian|east|panel|21|pending
1902|acme|south|pump|44|pending
1950|gale|east|gasket|96|paid
2364|ember|north|frame|48|held
1645|ember|north|cable|33|pending
2563|harbor|north|valve|63|shipped
1547|ember|north|panel|66|shipped
2600|cobalt|east|cable|69|paid
2393|juno|north|valve|74|paid
2173|harbor|west|cable|58|pending
2465|birch|west|pump|39|held
2454|harbor|east|panel|89|pending
1691|acme|west|rotor|16|pending
2601|acme|north|panel|75|held
2573|dorian|north|pump|23|shipped
2712|acme|west|pump|40|shipped
2199|juno|south|rotor|89|shipped
1812|ember|south|cable|47|held
2439|ionic|east|sensor|69|shipped
2556|dorian|east|panel|55|held
2574|gale|west|valve|21|paid
2298|cobalt|west|sensor|88|paid
2545|acme|west|valve|43|pending
1502|dorian|north|cable|73|pending
1919|birch|south|cable|88|paid
2686|harbor|west|gasket|97|paid
2733|dorian|north|rotor|14|paid
2604|cobalt|east|cable|58|held
1927|birch|north|panel|58|paid
1608|ionic|west|panel|25|held
2551|gale|north|cable|69|shipped
2388|gale|east|valve|25|shipped
2485|dorian|west|pump|72|held
2407|cobalt|south|frame|47|pending
2129|birch|west|panel|96|pending
2259|harbor|east|frame|18|held
2227|ember|north|cable|90|paid
2221|fulton|east|rotor|59|shipped
2404|acme|south|gasket|37|pending
1755|birch|south|valve|73|shipped
1680|ember|north|pump|56|shipped
1963|acme|south|sensor|42|shipped
1992|juno|north|gasket|71|pending
2645|dorian|south|panel|83|paid
2061|juno|south|rotor|22|pending
2429|ionic|west|frame|11|shipped
1657|cobalt|north|sensor|99|shipped
2204|fulton|west|pump|80|shipped
1819|birch|north|sensor|44|shipped
2519|fulton|east|cable|80|pending
2474|juno|south|sensor|25|held
2580|ember|east|sensor|16|held
2641|fulton|west|frame|26|paid
2110|harbor|north|rotor|22|shipped
2095|juno|south|cable|80|shipped
2590|cobalt|east|cable|31|paid
1947|cobalt|north|valve|52|paid
2412|juno|west|panel|73|paid
2014|gale|east|pump|26|pending
2480|juno|west|frame|88|held
1722|harbor|east|cable|53|shipped
2695|fulton|south|gasket|87|paid
2658|acme|south|frame|18|paid
1790|ionic|west|sensor|30|shipped
1540|ionic|north|sensor|36|paid
2317|juno|north|sensor|97|shipped
2507|acme|west|sensor|75|held
2621|cobalt|east|valve|66|paid
2494|dorian|east|pump|73|held
2270|acme|west|sensor|23|held
1598|cobalt|west|cable|84|pending
1601|juno|south|pump|53|held
2356|ionic|north|pump|65|held
1813|dorian|east|frame|84|paid
1506|dorian|west|valve|77|shipped
2729|fulton|east|valve|73|pending
2534|dorian|south|panel|53|pending
2625|cobalt|east|valve|12|paid
1708|fulton|south|frame|25|paid
1865|juno|north|frame|15|shipped
2007|cobalt|north|panel|29|shipped
2444|cobalt|west|panel|36|paid
2529|cobalt|east|rotor|96|paid
2080|cobalt|north|gasket|71|paid
1672|juno|west|pump|92|paid
1728|dorian|east|gasket|81|paid
2233|gale|west|sensor|79|held
2672|cobalt|west|sensor|69|paid
1646|ember|south|cable|84|paid
1681|ember|south|sensor|87|shipped
2224|juno|north|gasket|16|held
2282|juno|south|panel|50|paid
2005|acme|north|valve|67|paid
1582|ember|west|gasket|99|pending
1553|cobalt|north|cable|17|shipped
2136|cobalt|west|valve|66|pending
1820|cobalt|north|sensor|73|held
1760|fulton|north|rotor|22|pending
2397|juno|east|sensor|85|pending
2355|cobalt|east|rotor|21|held
2324|birch|east|panel|90|paid
2684|harbor|north|gasket|88|held
2092|ember|north|gasket|62|paid
1838|ember|east|gasket|54|paid
2616|acme|east|rotor|72|held
1620|gale|south|pump|71|shipped
1729|harbor|south|frame|63|pending
2238|cobalt|east|gasket|27|shipped
2390|cobalt|south|pump|21|shipped
2122|harbor|east|panel|54|pending
2687|harbor|east|gasket|95|paid
2726|birch|east|gasket|96|held
1930|juno|east|valve|22|shipped
1999|gale|east|sensor|71|held
2056|harbor|east|cable|14|pending
2291|ember|west|panel|44|held
2708|fulton|south|sensor|63|pending
2453|ionic|north|gasket|87|held
2680|acme|south|pump|51|shipped
2490|dorian|west|pump|27|shipped
2300|harbor|west|panel|25|held
1978|gale|north|gasket|26|paid
1685|harbor|west|sensor|42|pending
1824|fulton|east|cable|36|paid
2180|acme|east|cable|19|pending
2517|harbor|west|valve|45|shipped
1743|cobalt|north|valve|66|pending
1621|harbor|south|rotor|64|shipped
1533|dorian|west|pump|90|paid
2609|ember|south|rotor|39|shipped
2715|gale|west|gasket|26|pending
1879|cobalt|east|gasket|80|shipped
2331|ember|south|gasket|89|held
1807|ember|south|rotor|46|held
2339|juno|east|valve|35|held
2541|harbor|east|sensor|10|paid
1985|gale|west|cable|49|held
1993|gale|north|valve|27|shipped
2435|ionic|west|panel|96|shipped
2150|cobalt|east|cable|70|paid
2347|cobalt|west|panel|45|pending
1566|acme|north|rotor|78|paid
2343|harbor|south|rotor|84|pending
2629|birch|south|gasket|12|paid
2384|fulton|west|pump|24|pending
1904|fulton|south|gasket|48|paid
2520|juno|east|sensor|89|shipped
1970|harbor|north|cable|33|paid
1734|fulton|north|frame|56|held
1987|cobalt|south|panel|63|shipped
1525|dorian|west|sensor|18|pending
1512|dorian|west|pump|19|pending
1559|fulton|west|cable|12|shipped
1873|fulton|east|pump|23|shipped
2076|dorian|south|sensor|35|paid
1828|dorian|west|frame|98|held
2461|dorian|south|sensor|39|paid
2153|cobalt|east|pump|97|shipped
1781|gale|north|frame|13|pending
2669|gale|south|panel|82|held
2568|harbor|west|pump|61|shipped
1941|birch|east|cable|81|shipped
1888|dorian|north|pump|87|held
2544|birch|west|gasket|21|paid
2508|dorian|west|panel|72|held
1628|cobalt|north|cable|24|held
2369|cobalt|north|cable|55|pending
2310|ionic|west|frame|66|pending
2118|harbor|east|rotor|27|paid
2438|ionic|west|gasket|91|held
1593|ember|north|rotor|72|pending
2207|dorian|north|cable|35|pending
2065|ionic|south|gasket|27|shipped
1748|cobalt|north|gasket|11|shipped
2458|birch|south|gasket|21|pending
2250|acme|west|sensor|42|held
2288|ionic|south|pump|57|paid
1664|acme|east|panel|36|shipped
1852|gale|south|panel|56|pending
1737|gale|south|sensor|36|paid
2348|ionic|south|pump|31|held
2106|harbor|west|panel|38|shipped
2050|cobalt|north|cable|14|shipped
2547|fulton|east|frame|81|shipped
1654|gale|south|valve|11|paid
1676|ember|south|gasket|64|pending
1869|harbor|east|frame|29|paid
1858|ionic|south|cable|37|paid
2241|dorian|west|pump|62|pending
1886|juno|south|sensor|32|paid
1924|cobalt|west|gasket|72|shipped
2689|cobalt|north|pump|43|held
1639|birch|west|pump|41|pending
2264|acme|west|valve|57|pending
2124|dorian|east|valve|24|shipped
1787|ember|west|gasket|78|shipped
2382|gale|west|frame|35|paid
1842|gale|west|valve|93|held
1957|birch|east|valve|87|held
1632|juno|south|gasket|83|held
2505|acme|east|valve|43|held
2186|gale|east|rotor|28|paid
2043|cobalt|south|frame|21|pending
2162|harbor|north|frame|86|held
1962|gale|north|rotor|81|shipped
1770|cobalt|east|gasket|45|pending
2303|ember|south|sensor|96|pending
2242|ionic|east|panel|65|paid
2145|juno|west|valve|15|held
1766|harbor|south|gasket|29|held
2244|birch|north|cable|64|shipped
1797|cobalt|east|frame|61|pending
1710|birch|west|pump|56|pending
2085|ember|east|panel|24|held
2111|harbor|north|rotor|78|pending
1650|acme|east|cable|84|shipped
2651|cobalt|south|gasket|87|pending
1915|fulton|south|frame|43|held
2168|harbor|east|gasket|18|pending
2627|ember|south|panel|69|held
2240|acme|north|pump|52|pending
1994|harbor|north|frame|64|paid
2423|gale|west|frame|29|shipped
2099|cobalt|north|sensor|39|shipped
1700|fulton|east|rotor|33|shipped
1613|ember|north|panel|51|paid
1979|gale|west|frame|44|held
1520|dorian|west|panel|75|shipped
1934|acme|north|sensor|22|shipped
2392|birch|north|valve|37|shipped
2525|ionic|south|rotor|64|shipped
2357|birch|east|panel|89|pending
1627|ionic|west|rotor|79|held
2664|birch|east|panel|10|paid
2722|ember|north|gasket|82|paid
1498|dorian|west|pump|98|pending
1537|ember|east|valve|14|shipped
2141|cobalt|east|rotor|95|pending
1778|cobalt|east|rotor|96|pending
1575|dorian|south|rotor|94|held
1849|gale|east|rotor|44|held
1802|harbor|north|sensor|87|paid
2332|birch|east|cable|89|held
2083|harbor|west|pump|65|shipped
2255|juno|north|gasket|43|held
2232|harbor|north|pump|89|held
2510|dorian|east|panel|97|held
1701|harbor|west|panel|14|pending
2584|fulton|north|gasket|98|paid
2467|juno|east|pump|11|held
1972|dorian|south|pump|32|held
2540|ember|east|gasket|74|shipped
2027|acme|south|gasket|95|held
1560|acme|east|sensor|57|shipped
2701|ionic|south|gasket|41|pending
1835|gale|east|rotor|26|pending
1905|ionic|south|gasket|28|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.triage-v1conf — · 253ms · $0.014 · 16384 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 → chen
- infra → novak
- auth → silva
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 3)
2. "webhooks not delivered" (category: infra, priority 9)
3. "webhooks not delivered" (category: infra, 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:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 761ms · $0.001 · 745 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $498
- echo: $351
- lima: $645
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $565 from "lima" to "echo"
2. pay $384 from "oscar" to "lima"
3. pay $243 from "lima" to "echo"
4. pay $120 from "lima" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 565}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 384}},
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 243}},
{"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 120}}
]correctagentic.tools.deploy-v1conf 100% · 355ms · $0.002 · 1902 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
- gateway: auth-svc, notifier
- billing: auth-svc, notifier
- notifier: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 582ms · $0.002 · 2676 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: $136
- tango: $319
- delta: $826
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $274 from "tango" to "echo"
2. pay $109 from "echo" to "tango"
3. pay $474 from "echo" to "delta"
4. pay $179 from "tango" to "echo"
5. pay $287 from "delta" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 274}},
{"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 109}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 173}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 474}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 25}},
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 179}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 287}}
]truncatedagentic.tools.triage-v1conf — · 370ms · $0.014 · 16384 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 → haddad
- auth → okafor
- infra → novak
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "dashboard shows stale numbers" (category: data, priority 7)
3. "webhooks not delivered" (category: infra, priority 3)
4. "export file corrupted" (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:
(none extracted)truncatedagentic.tools.context-load-v1conf — · 703ms · $0.015 · 16384 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (255 records, format: id|customer|region|item|qty|status):
```
1306|birch|west|rotor|30|shipped
1217|dorian|east|cable|44|pending
1472|dorian|west|pump|19|paid
1622|cobalt|north|pump|82|paid
2142|juno|east|gasket|82|pending
1847|fulton|south|pump|74|pending
1544|gale|south|sensor|85|paid
1609|juno|south|valve|21|paid
1482|acme|south|panel|97|held
1503|acme|north|frame|98|shipped
1954|harbor|west|gasket|17|paid
1293|harbor|east|rotor|11|held
1523|cobalt|west|cable|81|pending
2103|birch|south|cable|50|shipped
1398|harbor|south|pump|11|pending
1554|acme|east|pump|22|shipped
1971|ember|south|gasket|28|shipped
1782|birch|south|rotor|39|shipped
1837|harbor|north|cable|51|shipped
2182|juno|west|gasket|53|held
1475|ionic|west|rotor|12|paid
1263|juno|east|frame|72|pending
1636|cobalt|east|panel|32|held
1935|acme|north|cable|71|pending
1338|dorian|west|frame|36|shipped
2093|juno|east|gasket|63|held
1756|gale|south|frame|98|held
1705|ionic|east|frame|38|held
1785|birch|west|frame|53|pending
1730|fulton|east|sensor|36|paid
1678|harbor|north|pump|59|shipped
2109|ionic|north|frame|30|held
2164|birch|west|valve|52|shipped
2015|dorian|south|panel|73|held
1435|gale|west|pump|54|shipped
1567|acme|north|cable|90|held
1839|acme|north|valve|26|held
1602|ember|east|pump|53|shipped
1818|acme|north|gasket|65|held
1934|harbor|west|panel|75|paid
1616|gale|south|valve|76|held
1926|harbor|north|rotor|21|held
2165|cobalt|east|pump|15|pending
2162|dorian|east|sensor|41|shipped
1299|ember|east|cable|68|shipped
1501|acme|south|cable|46|held
1890|dorian|east|rotor|87|shipped
1858|acme|west|sensor|47|paid
1223|dorian|north|cable|24|pending
2197|dorian|north|gasket|62|paid
1387|juno|west|gasket|80|held
1349|gale|west|pump|48|pending
1561|fulton|west|pump|42|shipped
2029|dorian|west|pump|82|pending
1451|fulton|east|cable|99|paid
1270|ionic|south|pump|42|shipped
1861|juno|south|panel|65|held
1296|birch|west|pump|31|shipped
1301|juno|south|gasket|49|held
1572|birch|east|pump|45|held
1457|harbor|east|gasket|16|held
1331|juno|east|frame|12|shipped
1698|ember|east|gasket|11|pending
1342|juno|west|rotor|54|pending
2130|acme|west|gasket|75|paid
1372|harbor|south|cable|11|paid
1949|cobalt|south|pump|13|held
1745|ionic|south|pump|28|shipped
1493|dorian|east|sensor|79|shipped
1906|birch|north|pump|29|shipped
2097|ionic|west|gasket|87|shipped
2171|ionic|east|valve|64|shipped
1467|dorian|north|valve|52|pending
2101|juno|west|pump|32|shipped
1879|fulton|south|pump|49|pending
2136|ionic|south|panel|50|paid
1707|acme|east|cable|37|shipped
1939|gale|north|pump|31|held
1218|dorian|north|frame|38|shipped
2087|dorian|west|cable|11|pending
1984|ember|south|frame|90|pending
2041|gale|south|pump|38|shipped
1360|juno|west|valve|67|shipped
2192|gale|west|pump|11|held
1533|cobalt|north|pump|55|held
1922|juno|east|panel|93|paid
1760|cobalt|east|panel|87|held
1417|ionic|east|valve|90|shipped
1750|cobalt|north|rotor|35|paid
1868|fulton|west|valve|60|shipped
1421|dorian|north|cable|65|pending
1362|acme|west|pump|37|held
1591|dorian|east|valve|64|paid
2045|acme|east|frame|34|shipped
1215|dorian|north|pump|37|pending
1584|ember|north|rotor|21|pending
1378|fulton|south|sensor|43|held
1546|gale|west|cable|77|shipped
1313|harbor|east|frame|89|pending
1688|gale|west|frame|46|paid
1918|ember|north|cable|73|shipped
2178|acme|east|panel|33|paid
1801|ember|east|sensor|55|shipped
2065|gale|south|pump|65|held
1978|birch|north|valve|51|paid
1325|dorian|north|panel|21|held
1716|ember|west|rotor|47|shipped
1239|dorian|north|pump|86|pending
1776|juno|west|gasket|25|paid
1824|fulton|east|rotor|30|held
2071|fulton|west|cable|28|shipped
1548|harbor|south|valve|33|pending
1966|cobalt|south|valve|93|paid
1713|cobalt|north|gasket|41|paid
1925|harbor|east|pump|18|shipped
1748|dorian|west|valve|46|held
2123|birch|south|panel|22|shipped
1947|juno|west|pump|82|held
2086|juno|south|cable|12|held
1430|ionic|west|pump|91|shipped
1234|dorian|north|sensor|96|paid
2006|gale|south|sensor|72|pending
1720|gale|south|frame|66|shipped
1629|dorian|west|rotor|72|pending
1672|birch|north|rotor|57|shipped
2036|birch|west|sensor|98|pending
1447|dorian|east|panel|29|paid
1876|fulton|east|frame|35|shipped
1646|gale|south|pump|88|held
1640|dorian|north|frame|77|pending
1753|juno|south|pump|43|held
1755|harbor|west|cable|19|paid
1538|fulton|west|frame|39|shipped
1365|gale|north|cable|14|pending
1912|gale|west|sensor|39|pending
2017|harbor|south|gasket|83|paid
1942|ember|east|valve|18|paid
1869|harbor|north|cable|41|paid
2095|dorian|north|sensor|58|shipped
2062|gale|east|frame|73|shipped
1405|cobalt|west|frame|25|held
2073|ember|south|valve|68|shipped
1422|juno|west|frame|41|shipped
1740|ember|west|panel|19|held
1394|birch|west|frame|36|shipped
1619|ionic|south|cable|87|pending
2023|dorian|west|pump|41|pending
1894|dorian|south|valve|37|shipped
2148|fulton|south|sensor|78|paid
1787|harbor|west|pump|66|paid
1412|cobalt|west|frame|28|pending
2010|gale|west|panel|91|paid
1576|cobalt|east|gasket|27|paid
1754|juno|west|pump|98|shipped
1735|fulton|east|valve|27|held
1440|ionic|north|panel|18|pending
1508|ember|north|rotor|36|shipped
1878|juno|north|valve|63|shipped
2051|ember|north|valve|60|paid
1816|juno|west|rotor|82|held
1671|acme|west|gasket|28|pending
2155|birch|west|pump|90|held
1806|acme|north|rotor|19|held
1796|fulton|south|sensor|40|held
1587|fulton|south|frame|34|held
1766|ember|north|panel|86|pending
1510|juno|north|panel|32|held
1772|birch|east|panel|42|held
1683|gale|south|pump|15|paid
1496|dorian|east|sensor|98|held
1429|fulton|west|gasket|32|shipped
1660|ember|east|sensor|84|shipped
1356|ember|west|pump|57|held
1309|fulton|south|valve|28|held
1832|birch|west|valve|28|held
1667|acme|north|gasket|23|paid
1601|birch|north|pump|96|paid
2125|acme|north|panel|90|shipped
2063|juno|north|frame|62|held
2043|acme|west|sensor|73|pending
1256|acme|south|cable|12|held
1703|acme|north|gasket|76|held
1652|harbor|north|cable|51|paid
1318|gale|south|rotor|83|held
1792|dorian|west|cable|15|held
1895|ionic|east|valve|35|paid
1842|cobalt|east|frame|44|held
1311|gale|west|cable|20|shipped
1729|juno|west|sensor|34|held
1573|gale|west|gasket|77|paid
1635|acme|south|panel|32|held
2058|fulton|east|pump|37|pending
2060|acme|south|rotor|36|paid
1476|acme|south|gasket|29|held
1345|fulton|south|gasket|54|pending
1286|acme|west|gasket|47|held
1800|ionic|east|panel|36|paid
1528|juno|east|gasket|75|paid
1495|dorian|south|frame|69|pending
1343|acme|south|valve|33|held
1565|cobalt|west|gasket|18|pending
2116|cobalt|west|gasket|90|held
1424|birch|north|valve|90|pending
1590|ember|east|gasket|15|shipped
1989|acme|east|sensor|79|held
1275|cobalt|east|gasket|16|held
1474|juno|south|panel|18|paid
2200|fulton|east|rotor|33|held
2079|acme|west|rotor|86|pending
1999|ionic|south|panel|84|pending
1993|cobalt|west|valve|33|pending
1461|dorian|east|panel|93|held
1444|harbor|north|gasket|55|pending
2126|harbor|east|rotor|52|held
1960|fulton|west|pump|27|held
1723|juno|south|gasket|10|pending
1997|acme|south|panel|73|shipped
1589|birch|north|panel|39|held
1579|gale|south|sensor|64|pending
1385|birch|west|cable|43|paid
1420|harbor|south|cable|31|paid
1250|dorian|north|frame|17|shipped
2018|cobalt|east|sensor|31|pending
1982|birch|south|pump|59|pending
1884|cobalt|south|panel|22|held
1951|ember|north|sensor|45|shipped
1592|cobalt|south|rotor|47|held
1312|gale|south|pump|28|paid
2031|birch|north|pump|80|paid
1244|dorian|west|valve|59|pending
1825|harbor|east|rotor|17|paid
1516|juno|east|rotor|38|held
2056|dorian|south|pump|65|held
1891|acme|north|panel|87|held
2203|harbor|east|panel|58|shipped
1931|fulton|south|cable|64|pending
1489|dorian|west|valve|66|held
1438|gale|north|valve|56|paid
1279|juno|south|panel|99|pending
2190|fulton|north|gasket|88|shipped
1695|ember|south|valve|80|held
1851|acme|east|frame|50|shipped
1811|cobalt|north|gasket|34|paid
1455|cobalt|south|valve|36|paid
1885|cobalt|east|valve|23|paid
1409|ember|west|frame|56|held
1466|birch|west|panel|71|held
1651|dorian|west|cable|82|shipped
1657|ionic|north|pump|21|paid
1229|dorian|west|valve|15|pending
1465|juno|east|valve|67|shipped
2135|ionic|west|rotor|53|pending
2183|ember|west|pump|97|shipped
1902|ionic|east|pump|10|shipped
1599|birch|south|pump|64|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.context-load-v1conf 100% · 502ms · $0.010 · 10362 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 (238 records, format: id|customer|region|item|qty|status):
```
2142|birch|west|rotor|14|shipped
2110|juno|east|sensor|28|shipped
1929|ember|west|frame|79|held
2347|juno|south|panel|62|paid
2238|juno|south|frame|98|held
1671|cobalt|south|frame|11|pending
2193|acme|east|sensor|74|pending
2056|ember|east|panel|91|paid
1855|acme|south|panel|97|shipped
1523|ember|west|cable|55|pending
1790|juno|west|pump|56|shipped
1461|harbor|west|pump|10|held
1455|harbor|north|panel|86|pending
2146|ionic|north|gasket|31|held
1597|harbor|west|panel|29|pending
1844|birch|east|cable|22|pending
2097|juno|south|cable|21|shipped
2152|dorian|east|cable|49|pending
1765|juno|east|valve|78|pending
1616|harbor|east|gasket|98|shipped
2177|juno|east|gasket|20|held
1501|dorian|north|gasket|94|shipped
1901|ionic|west|pump|23|held
1663|dorian|east|valve|94|held
2042|dorian|west|frame|22|held
2335|gale|east|panel|92|paid
1625|harbor|west|pump|60|pending
1760|juno|north|cable|25|pending
1833|dorian|north|gasket|87|paid
1507|juno|east|rotor|45|held
2067|fulton|west|valve|66|paid
1979|dorian|south|frame|50|shipped
2179|juno|east|panel|72|shipped
2054|gale|north|gasket|61|shipped
1522|fulton|south|frame|41|pending
1805|ionic|north|frame|25|shipped
1604|birch|north|pump|82|shipped
1983|ember|north|panel|45|paid
2205|acme|north|frame|90|held
2197|cobalt|north|pump|89|pending
1836|fulton|north|pump|88|pending
2289|cobalt|east|panel|69|pending
1749|dorian|east|cable|34|shipped
1738|cobalt|north|cable|35|pending
1771|dorian|north|valve|61|pending
1948|juno|south|gasket|97|pending
2317|dorian|south|panel|81|held
1874|juno|north|sensor|62|paid
1933|juno|west|cable|86|held
2206|juno|south|panel|67|paid
2340|dorian|north|frame|37|pending
2353|juno|north|pump|59|pending
1858|acme|north|sensor|99|held
1930|cobalt|north|panel|37|shipped
2073|juno|south|cable|80|held
2093|ember|south|sensor|22|held
2312|juno|west|sensor|87|shipped
1463|harbor|west|frame|46|pending
2015|ember|north|valve|89|pending
2116|juno|east|rotor|94|paid
1894|fulton|north|cable|21|paid
1639|cobalt|south|sensor|95|paid
2212|birch|north|panel|77|pending
2332|ember|east|cable|86|paid
2244|harbor|east|rotor|96|paid
2011|acme|south|gasket|89|held
1470|harbor|east|valve|39|pending
1880|harbor|south|cable|77|held
2295|ember|east|rotor|57|shipped
1610|cobalt|north|panel|35|held
2216|ember|south|gasket|25|pending
2391|cobalt|west|gasket|10|shipped
2259|ionic|west|cable|22|paid
2371|cobalt|south|gasket|82|paid
2022|ionic|south|sensor|43|shipped
2049|dorian|west|valve|22|shipped
1871|ember|south|valve|59|pending
2158|fulton|west|valve|30|shipped
1782|ionic|south|frame|93|held
1499|juno|west|panel|83|paid
1701|ember|east|panel|81|pending
2397|dorian|east|rotor|12|shipped
1845|fulton|west|valve|81|held
2378|ember|north|gasket|30|pending
1688|birch|west|rotor|95|pending
1865|ionic|west|valve|77|shipped
2236|dorian|west|rotor|58|paid
2123|cobalt|north|pump|21|pending
2286|acme|east|frame|62|pending
1735|harbor|east|gasket|35|pending
2194|birch|east|gasket|58|paid
1842|ember|south|valve|94|held
1492|gale|west|pump|28|shipped
1644|birch|west|gasket|91|shipped
1969|fulton|east|rotor|65|pending
1528|cobalt|east|valve|24|pending
2219|harbor|west|gasket|61|held
2345|gale|west|frame|25|pending
1725|ionic|west|valve|14|shipped
1711|birch|west|cable|91|paid
2249|gale|north|rotor|75|held
2003|dorian|north|panel|88|pending
2404|gale|south|panel|96|held
1681|harbor|south|gasket|27|paid
1708|cobalt|north|rotor|89|held
1797|ionic|north|rotor|18|shipped
1689|juno|east|pump|95|pending
1577|birch|south|frame|21|shipped
2186|birch|north|panel|82|held
2274|ionic|west|sensor|77|shipped
2213|juno|south|sensor|28|pending
1941|ionic|north|gasket|48|paid
1954|gale|north|panel|37|held
1882|harbor|east|rotor|26|paid
1754|juno|south|pump|66|shipped
2271|juno|north|rotor|59|held
1552|harbor|north|panel|83|pending
2305|acme|south|frame|72|pending
1873|harbor|west|frame|32|shipped
1477|harbor|west|gasket|30|shipped
2225|fulton|north|sensor|36|pending
1558|gale|east|gasket|58|pending
2389|ember|north|frame|32|paid
1570|gale|east|pump|88|held
2408|ember|north|pump|41|pending
1853|ionic|east|panel|18|shipped
2053|cobalt|north|cable|63|pending
1990|ionic|south|frame|55|paid
1678|birch|west|panel|26|paid
1562|harbor|north|gasket|68|held
1896|ember|west|sensor|43|shipped
1583|ionic|east|pump|81|held
1634|harbor|east|cable|89|pending
1994|ionic|north|panel|42|held
1802|birch|south|gasket|44|held
1696|gale|west|rotor|28|shipped
1574|acme|south|pump|38|held
2062|dorian|south|rotor|27|pending
2314|ionic|west|cable|95|pending
2304|ember|south|panel|86|paid
1529|acme|east|panel|87|paid
1974|acme|north|gasket|87|held
1568|birch|south|valve|80|pending
1592|juno|north|valve|49|shipped
1612|ember|west|rotor|75|shipped
1714|dorian|east|panel|46|paid
1478|harbor|west|pump|63|pending
1956|gale|south|cable|47|shipped
1927|acme|south|pump|76|paid
2163|cobalt|west|panel|80|shipped
1615|acme|east|cable|38|held
1480|harbor|south|panel|38|pending
2028|ionic|west|cable|76|paid
1508|harbor|west|sensor|93|shipped
2108|birch|west|rotor|24|paid
1516|harbor|north|frame|30|held
2161|cobalt|south|gasket|41|shipped
1653|fulton|south|cable|28|held
1486|harbor|west|rotor|79|paid
1907|juno|west|panel|93|shipped
1726|harbor|west|rotor|45|held
1938|birch|north|sensor|52|pending
2297|cobalt|north|gasket|11|pending
2032|ember|west|sensor|12|pending
2008|gale|north|cable|18|paid
1620|juno|west|gasket|83|pending
2407|fulton|south|rotor|39|paid
1939|birch|east|rotor|43|held
1789|juno|east|rotor|14|pending
1720|juno|south|cable|66|held
1796|ember|east|cable|24|held
2078|juno|north|panel|59|held
1776|dorian|north|panel|44|paid
2089|gale|east|rotor|15|paid
1648|juno|south|valve|57|held
1626|dorian|west|sensor|71|held
1541|ionic|west|gasket|40|paid
1674|gale|east|panel|47|shipped
2038|acme|north|panel|95|paid
2322|acme|east|valve|60|held
2044|harbor|east|valve|68|paid
2232|dorian|north|frame|15|held
1827|dorian|east|cable|57|pending
1737|cobalt|west|rotor|25|held
2357|ionic|west|gasket|91|shipped
1721|juno|east|panel|89|pending
1627|harbor|west|pump|65|pending
1964|gale|west|rotor|43|paid
1815|ionic|west|pump|57|held
2265|birch|west|cable|26|paid
2199|ionic|north|rotor|62|paid
1820|cobalt|north|pump|33|pending
2329|ionic|east|gasket|64|paid
2231|acme|north|sensor|63|pending
2256|birch|east|panel|38|paid
2082|birch|south|frame|35|shipped
1921|harbor|east|sensor|99|paid
2383|juno|west|valve|93|shipped
2280|cobalt|east|frame|32|held
1635|cobalt|east|frame|72|pending
1669|birch|north|panel|64|paid
1767|birch|north|rotor|24|held
1814|acme|west|panel|98|pending
2117|dorian|east|valve|81|paid
1656|fulton|east|rotor|95|pending
1916|ionic|south|pump|37|held
2101|fulton|west|cable|38|paid
1961|gale|east|gasket|38|shipped
1587|harbor|east|valve|72|paid
1830|juno|south|rotor|95|shipped
2363|harbor|south|rotor|83|paid
1638|gale|north|sensor|61|paid
1702|birch|east|pump|38|paid
1719|harbor|north|sensor|16|held
1849|birch|south|gasket|26|paid
1545|gale|south|cable|78|pending
1536|birch|south|pump|14|held
1740|ionic|east|cable|70|held
1888|juno|south|panel|15|paid
1730|cobalt|east|gasket|28|held
1913|dorian|south|pump|28|paid
2298|juno|south|rotor|91|held
2075|birch|east|frame|84|paid
1803|ember|north|pump|77|paid
2369|harbor|south|frame|22|paid
1533|cobalt|north|sensor|16|held
1959|harbor|south|pump|46|pending
1807|ember|east|sensor|47|held
1452|harbor|west|rotor|76|pending
1999|birch|north|panel|82|held
1886|fulton|east|gasket|53|paid
1744|dorian|east|gasket|29|pending
1509|birch|east|pump|87|held
1867|gale|north|panel|83|paid
2136|cobalt|north|pump|93|pending
2109|cobalt|north|frame|78|shipped
2130|dorian|south|cable|71|shipped
2170|ember|west|pump|87|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "rotor", "qty": 76}},
{"tool": "cancel_order", "args": {"order_id": 1463}},
{"tool": "cancel_order", "args": {"order_id": 1478}},
{"tool": "cancel_order", "args": {"order_id": 1597}},
{"tool": "cancel_order", "args": {"order_id": 1625}},
{"tool": "restock", "args": {"item": "pump", "qty": 65}}
]truncatedagentic.tools.triage-v1conf — · 394ms · $0.014 · 16384 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 → dubois
- payments → novak
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 6)
2. "webhooks not delivered" (category: infra, priority 5)
3. "invoice total wrong" (category: payments, priority 3)
4. "SSO loop on login" (category: auth, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 462ms · $0.001 · 872 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: billing, gateway
- billing: gateway
- notifier: gateway
- gateway: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 332ms · $0.001 · 1409 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $735
- delta: $460
- oscar: $176
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $167 from "oscar" to "delta"
2. pay $591 from "oscar" to "delta"
3. pay $82 from "lima" to "oscar"
4. pay $200 from "lima" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 167}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 582}},
{"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 591}},
{"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 82}},
{"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 200}}
]correctagentic.tools.deploy-v1conf 100% · 388ms · $0.002 · 2419 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, search
- search: gateway
- notifier: gateway, search
- gateway: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]truncatedagentic.tools.triage-v1conf — · 628ms · $0.014 · 16384 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 → okafor
- data → haddad
- payments → silva
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 7)
2. "SSO loop on login" (category: auth, priority 7)
3. "card declined at checkout" (category: payments, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 495ms · $0.001 · 1310 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $552
- tango: $614
- kilo: $308
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $229 from "lima" to "kilo"
2. pay $516 from "kilo" to "lima"
3. pay $481 from "kilo" to "tango"
4. pay $188 from "kilo" to "lima"
5. pay $349 from "lima" 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": "lima", "to": "kilo", "amount": 229}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 516}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 460}},
{"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 481}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 188}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 188}},
{"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 349}}
]truncatedagentic.tools.context-load-v1conf — · 513ms · $0.015 · 16384 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 (217 records, format: id|customer|region|item|qty|status):
```
2202|gale|south|gasket|31|pending
1961|juno|north|rotor|98|held
1763|cobalt|north|gasket|99|shipped
1827|juno|south|pump|51|paid
1321|juno|east|frame|29|pending
1626|cobalt|south|frame|81|shipped
1710|gale|south|pump|86|shipped
2127|dorian|west|valve|93|held
1342|juno|south|frame|13|shipped
1844|gale|west|panel|25|held
1457|harbor|north|frame|48|pending
1461|harbor|east|sensor|68|shipped
1569|cobalt|west|valve|95|pending
1926|harbor|south|gasket|94|held
1509|birch|north|cable|24|paid
1452|ionic|south|valve|99|held
1430|acme|east|panel|95|paid
1487|juno|west|cable|91|pending
1684|birch|south|rotor|35|shipped
1500|gale|south|frame|52|pending
1807|ember|south|gasket|79|pending
2157|ionic|west|valve|28|pending
1931|harbor|east|cable|48|shipped
1886|fulton|south|pump|16|pending
1815|gale|south|panel|45|pending
1426|birch|east|frame|49|shipped
1680|fulton|east|valve|49|pending
1377|dorian|south|pump|20|held
1756|ember|east|frame|33|held
2158|juno|north|pump|55|paid
1820|dorian|east|cable|95|paid
1390|acme|east|gasket|35|paid
1448|gale|west|pump|24|held
1871|ember|south|cable|58|pending
1329|juno|south|sensor|12|paid
2015|dorian|east|cable|79|held
1393|acme|north|gasket|91|paid
1805|cobalt|west|rotor|60|shipped
1370|gale|north|rotor|20|held
1544|fulton|south|valve|77|held
1840|dorian|north|pump|65|held
1741|harbor|west|cable|76|shipped
2190|cobalt|north|frame|83|held
1834|birch|south|panel|86|held
2068|ionic|west|panel|21|paid
1527|ionic|west|pump|41|shipped
1477|gale|west|cable|23|held
2164|harbor|north|sensor|55|held
2167|harbor|east|frame|47|shipped
2063|juno|west|pump|80|shipped
1405|gale|south|gasket|51|shipped
2124|fulton|west|panel|34|held
1911|juno|east|cable|42|held
1838|acme|west|gasket|73|pending
1402|fulton|north|rotor|77|pending
1717|acme|south|pump|76|shipped
2134|dorian|north|pump|70|paid
2074|acme|east|pump|35|pending
1917|fulton|south|valve|54|pending
1454|ember|south|frame|97|pending
1603|birch|east|panel|11|held
1389|gale|south|gasket|19|held
2180|juno|west|gasket|36|paid
1765|acme|east|gasket|51|pending
1464|cobalt|west|cable|86|paid
1687|gale|north|valve|11|held
1878|juno|east|frame|51|paid
1983|cobalt|west|panel|11|held
2048|acme|west|gasket|92|shipped
1323|juno|south|valve|96|shipped
1491|acme|south|gasket|39|pending
1988|juno|north|pump|81|paid
1328|juno|east|panel|95|pending
1355|juno|south|sensor|18|shipped
1780|juno|north|gasket|67|pending
2119|acme|east|valve|47|shipped
1622|dorian|east|valve|48|pending
1346|juno|south|gasket|13|pending
1489|birch|west|rotor|72|shipped
1360|cobalt|south|rotor|70|pending
1513|juno|east|valve|98|held
1315|juno|south|sensor|23|pending
1530|dorian|north|pump|35|pending
1769|juno|west|sensor|52|shipped
1919|ionic|east|pump|40|pending
1535|acme|east|cable|48|pending
1555|juno|south|valve|36|held
1947|gale|south|gasket|74|pending
1860|cobalt|east|gasket|60|held
1776|ember|east|frame|95|pending
2187|cobalt|south|sensor|80|held
1471|dorian|north|panel|45|paid
1582|ionic|south|panel|64|pending
1427|dorian|south|pump|52|held
1747|juno|north|pump|28|pending
1631|ember|south|sensor|55|held
2174|harbor|east|gasket|33|shipped
1800|cobalt|north|rotor|82|held
1784|acme|east|cable|47|paid
1987|gale|west|gasket|27|pending
2012|acme|south|pump|20|held
1906|birch|south|cable|34|pending
1904|fulton|east|valve|62|shipped
1991|ember|east|sensor|44|shipped
1638|ember|south|rotor|81|pending
1559|ember|west|frame|86|paid
1396|fulton|east|frame|43|pending
1501|fulton|south|sensor|64|shipped
1379|gale|east|cable|26|pending
1654|birch|west|cable|21|held
1429|cobalt|west|valve|63|pending
1565|cobalt|west|panel|88|shipped
1996|ionic|south|frame|63|paid
1443|ember|south|cable|77|shipped
2052|dorian|north|pump|44|pending
2008|juno|east|pump|28|pending
1470|acme|north|panel|48|pending
1659|dorian|east|valve|17|pending
1674|birch|west|rotor|71|paid
1332|juno|south|valve|66|pending
1759|cobalt|north|frame|67|shipped
1589|acme|north|pump|86|shipped
1722|ember|north|valve|97|pending
1642|acme|north|panel|21|pending
1367|acme|south|rotor|50|held
1483|ionic|south|panel|39|pending
1596|birch|west|pump|52|shipped
1352|juno|west|valve|75|pending
2091|gale|west|frame|45|shipped
1337|juno|north|valve|93|pending
1504|gale|north|sensor|34|shipped
2111|birch|west|panel|14|held
2031|ember|east|sensor|31|held
2003|ember|north|panel|22|paid
1580|fulton|north|rotor|78|shipped
1327|juno|south|pump|68|pending
1866|acme|south|frame|21|shipped
1570|dorian|east|sensor|38|paid
1667|harbor|north|pump|41|shipped
1616|ionic|north|cable|43|held
2159|juno|south|sensor|71|held
1727|gale|west|cable|34|shipped
2081|harbor|east|cable|26|held
1553|birch|west|valve|12|shipped
1787|cobalt|west|valve|37|shipped
2085|cobalt|south|valve|37|held
2053|ionic|west|panel|17|paid
2169|cobalt|north|panel|32|shipped
1528|ember|south|sensor|84|pending
2108|acme|south|rotor|92|shipped
2022|ionic|north|cable|68|paid
1663|acme|south|valve|70|pending
1647|cobalt|south|pump|97|held
1416|cobalt|north|frame|49|shipped
1808|fulton|east|rotor|50|paid
1966|ionic|south|cable|80|held
1625|ionic|south|gasket|78|pending
1918|juno|west|valve|33|pending
2140|ionic|south|valve|62|paid
1696|ionic|west|frame|19|shipped
1943|acme|south|valve|30|shipped
1868|cobalt|west|sensor|67|paid
2094|harbor|east|pump|18|held
1689|ember|east|valve|27|shipped
2070|harbor|west|sensor|42|held
1383|dorian|west|sensor|32|shipped
1880|dorian|north|cable|97|pending
1923|harbor|south|frame|13|held
1793|gale|north|sensor|22|held
1517|birch|east|rotor|89|held
1609|ionic|west|sensor|69|shipped
1551|ionic|west|rotor|19|held
2036|gale|west|sensor|18|paid
1411|fulton|east|gasket|41|held
2151|ionic|north|cable|74|pending
1357|fulton|east|panel|98|pending
1751|gale|east|rotor|68|paid
1938|dorian|south|panel|34|shipped
1734|harbor|north|valve|82|pending
1849|acme|east|cable|41|shipped
1420|fulton|north|gasket|83|shipped
1954|birch|east|sensor|10|held
2029|dorian|south|cable|92|held
1512|birch|west|gasket|99|held
1703|gale|west|frame|14|held
1436|cobalt|east|pump|24|paid
2146|ionic|south|valve|62|paid
1855|juno|south|frame|83|shipped
1974|ionic|south|valve|70|pending
1978|gale|east|sensor|30|held
2059|fulton|north|panel|11|pending
2197|ember|west|sensor|97|shipped
2007|dorian|west|cable|19|held
1660|fulton|north|gasket|63|pending
1720|cobalt|east|panel|12|pending
1384|fulton|west|panel|73|pending
1890|ionic|west|rotor|50|paid
1576|dorian|south|panel|23|pending
1494|harbor|south|panel|76|held
1897|birch|north|sensor|59|held
2101|juno|east|valve|35|pending
2118|gale|south|gasket|84|shipped
1733|cobalt|east|gasket|69|pending
1522|juno|west|pump|93|held
2116|juno|east|gasket|46|held
2035|ember|west|sensor|56|held
2016|ionic|north|sensor|77|paid
1786|ember|south|panel|51|shipped
1537|birch|north|sensor|35|shipped
1968|ember|west|gasket|42|pending
1549|dorian|south|cable|46|held
1651|ember|west|pump|12|held
1519|gale|east|pump|58|shipped
2043|ember|west|rotor|41|paid
1538|gale|south|rotor|18|pending
1366|harbor|west|frame|15|paid
1771|harbor|south|sensor|24|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.context-load-v1conf — · 608ms · $0.014 · 16384 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (121 records, format: id|customer|region|item|qty|status):
```
1682|juno|east|panel|18|paid
1596|birch|west|cable|25|paid
1619|ionic|south|panel|46|paid
1434|harbor|east|rotor|56|pending
1405|cobalt|south|rotor|98|pending
1390|cobalt|east|valve|41|pending
1531|cobalt|east|cable|79|shipped
1644|juno|south|pump|24|held
1481|fulton|west|frame|23|shipped
1737|dorian|south|valve|14|shipped
1758|gale|east|panel|75|held
1684|cobalt|south|cable|71|paid
1678|ember|west|cable|88|shipped
1650|juno|north|pump|10|paid
1658|acme|west|pump|42|shipped
1607|fulton|west|cable|85|pending
1528|harbor|south|sensor|77|pending
1693|harbor|north|pump|29|shipped
1490|ionic|north|panel|27|paid
1557|fulton|north|cable|19|shipped
1742|gale|north|panel|78|held
1775|ionic|south|pump|60|held
1621|gale|west|rotor|64|held
1698|ionic|west|gasket|21|shipped
1591|ember|south|gasket|66|held
1424|gale|north|valve|55|shipped
1808|ionic|west|valve|93|held
1799|birch|south|panel|28|shipped
1532|harbor|north|valve|52|held
1473|juno|north|gasket|60|shipped
1637|juno|north|valve|65|paid
1501|ember|west|frame|38|paid
1605|acme|south|rotor|80|shipped
1427|acme|west|valve|14|paid
1830|cobalt|south|cable|75|pending
1653|cobalt|south|panel|62|pending
1389|cobalt|north|panel|14|pending
1611|juno|east|frame|21|paid
1418|cobalt|north|sensor|26|held
1519|dorian|south|sensor|66|shipped
1533|birch|north|cable|45|paid
1540|acme|north|valve|14|shipped
1703|acme|north|cable|57|shipped
1515|harbor|east|valve|30|shipped
1367|cobalt|east|gasket|92|pending
1777|birch|west|cable|85|paid
1782|ionic|south|valve|45|pending
1368|cobalt|north|sensor|52|shipped
1814|dorian|north|panel|30|pending
1552|fulton|north|rotor|10|held
1761|fulton|south|pump|79|paid
1396|cobalt|north|frame|90|held
1665|gale|north|frame|61|shipped
1571|gale|north|pump|67|held
1771|cobalt|east|sensor|96|paid
1452|cobalt|east|rotor|68|shipped
1616|fulton|north|valve|98|paid
1558|birch|west|gasket|64|paid
1416|cobalt|south|frame|28|pending
1677|dorian|west|gasket|63|paid
1821|cobalt|south|sensor|29|paid
1633|cobalt|north|rotor|38|held
1457|ionic|east|frame|27|held
1728|dorian|west|cable|20|paid
1379|cobalt|south|panel|33|pending
1702|birch|west|panel|30|paid
1803|fulton|west|sensor|29|paid
1478|ember|north|panel|49|pending
1747|ionic|east|valve|22|paid
1459|gale|south|valve|55|held
1462|ember|south|pump|35|pending
1384|cobalt|north|cable|64|shipped
1765|harbor|south|rotor|26|paid
1541|juno|east|sensor|21|paid
1628|juno|east|panel|94|held
1766|dorian|south|valve|12|shipped
1602|ember|east|gasket|62|paid
1837|ember|north|panel|25|paid
1600|fulton|east|gasket|70|pending
1497|birch|west|gasket|74|pending
1483|dorian|west|frame|20|held
1375|cobalt|north|panel|24|pending
1715|ember|west|sensor|21|paid
1534|ember|south|pump|82|paid
1823|fulton|west|panel|75|held
1686|dorian|north|panel|45|pending
1740|juno|south|valve|73|shipped
1469|cobalt|north|cable|64|held
1708|cobalt|south|valve|22|paid
1415|cobalt|north|cable|10|pending
1546|fulton|north|pump|81|held
1741|acme|north|rotor|64|held
1521|birch|east|valve|51|shipped
1576|birch|west|pump|54|pending
1508|gale|west|cable|21|paid
1793|acme|north|gasket|65|shipped
1525|acme|south|rotor|53|shipped
1363|cobalt|north|frame|10|pending
1586|cobalt|west|frame|27|pending
1466|cobalt|east|cable|75|pending
1797|dorian|west|frame|31|shipped
1568|juno|west|valve|84|paid
1788|fulton|north|gasket|58|held
1412|cobalt|north|pump|17|held
1601|harbor|north|sensor|11|pending
1580|harbor|east|gasket|81|pending
1721|dorian|north|panel|94|shipped
1700|acme|north|panel|24|pending
1675|ember|south|panel|20|held
1449|gale|east|pump|33|paid
1668|fulton|west|gasket|86|pending
1818|fulton|south|pump|49|shipped
1812|acme|south|cable|16|paid
1444|cobalt|south|valve|18|pending
1752|cobalt|south|rotor|11|held
1732|cobalt|east|rotor|89|pending
1683|birch|east|rotor|19|paid
1401|cobalt|north|sensor|43|pending
1437|fulton|west|panel|13|paid
1561|ember|east|sensor|57|held
1550|ember|south|panel|72|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 412ms · $0.001 · 928 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
- billing: notifier
- notifier: (none)
- gateway: notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 336ms · $0.002 · 1797 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $832
- tango: $615
- alpha: $626
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $250 from "oscar" to "alpha"
2. pay $487 from "alpha" to "oscar"
3. pay $163 from "oscar" to "tango"
4. pay $445 from "alpha" to "oscar"
5. pay $414 from "tango" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 250}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 487}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 163}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 56}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 445}},
{"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 414}}
]correctagentic.tools.triage-v1conf 100% · 430ms · $0.003 · 3623 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → dubois
- infra → tanaka
- data → chen
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 4)
2. "SSO loop on login" (category: auth, priority 4)
3. "records missing after import" (category: data, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "chen"
}
}
]truncatedagentic.tools.context-load-v1conf — · 635ms · $0.015 · 16384 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (246 records, format: id|customer|region|item|qty|status):
```
1340|dorian|north|panel|42|shipped
2218|dorian|east|sensor|85|paid
1536|gale|south|gasket|12|shipped
1398|juno|south|pump|34|pending
1814|gale|east|rotor|21|shipped
2159|dorian|west|valve|34|pending
1655|cobalt|north|frame|16|held
2096|dorian|west|cable|76|shipped
2067|ember|north|cable|94|shipped
1671|juno|west|valve|41|shipped
2187|fulton|east|valve|54|shipped
1589|ember|south|frame|59|pending
1314|gale|west|gasket|70|pending
1823|fulton|east|panel|74|paid
2103|gale|south|rotor|45|paid
1642|fulton|west|panel|71|pending
1407|cobalt|south|gasket|86|shipped
1442|fulton|north|cable|88|paid
1561|birch|south|frame|87|shipped
1965|fulton|south|cable|16|shipped
1947|birch|east|valve|91|held
2083|acme|west|gasket|16|pending
2256|juno|north|pump|81|shipped
1866|acme|east|frame|16|held
1513|ember|west|pump|96|shipped
1510|ionic|north|frame|88|held
1374|juno|west|sensor|10|paid
2260|harbor|west|pump|85|shipped
1662|juno|east|pump|10|pending
1433|cobalt|north|gasket|20|pending
1703|ionic|east|valve|54|held
1405|gale|south|cable|85|pending
1819|ember|west|gasket|54|pending
1838|fulton|west|frame|49|paid
1274|gale|south|panel|88|pending
1615|fulton|west|valve|44|held
1603|ember|west|sensor|66|held
1520|gale|east|cable|38|held
1766|cobalt|west|frame|67|pending
1541|harbor|south|cable|54|held
2072|acme|east|panel|63|paid
1351|dorian|north|panel|90|pending
1464|fulton|east|sensor|33|pending
1728|dorian|north|frame|18|held
1355|juno|north|frame|77|held
1383|ionic|north|frame|95|shipped
1986|cobalt|west|cable|68|held
1798|fulton|east|frame|12|paid
1808|fulton|north|rotor|24|pending
1829|juno|south|valve|25|paid
2132|dorian|west|sensor|48|shipped
1478|ionic|east|valve|54|paid
1636|dorian|south|rotor|53|paid
1877|gale|north|panel|16|shipped
2089|ionic|west|gasket|28|pending
2194|juno|west|valve|51|shipped
1419|harbor|west|panel|10|pending
1774|birch|south|panel|45|held
1604|acme|north|gasket|40|shipped
2049|ionic|south|sensor|19|held
2148|harbor|south|panel|63|pending
1750|ember|west|gasket|49|shipped
1664|dorian|east|sensor|62|paid
1617|ember|north|valve|86|paid
1349|ionic|east|valve|18|paid
1858|gale|east|pump|71|paid
1440|harbor|north|pump|83|held
1295|gale|west|sensor|42|held
1482|juno|east|sensor|83|shipped
2209|harbor|south|valve|97|paid
1469|dorian|south|rotor|53|pending
1623|acme|east|panel|88|shipped
1337|gale|south|cable|52|paid
1911|birch|east|frame|82|paid
1831|ionic|north|pump|12|held
2175|gale|east|panel|41|held
1497|gale|north|sensor|38|paid
1583|dorian|west|panel|93|paid
1312|gale|west|sensor|84|shipped
1326|gale|east|rotor|62|pending
2216|ionic|north|rotor|84|pending
1288|gale|north|pump|79|pending
1681|gale|north|panel|96|shipped
1906|birch|west|panel|24|pending
1807|cobalt|west|rotor|41|pending
2127|fulton|east|sensor|64|shipped
2214|juno|north|frame|35|shipped
1438|juno|west|valve|55|pending
1929|fulton|west|sensor|22|held
1884|cobalt|east|frame|25|pending
1966|ember|north|gasket|86|shipped
1282|gale|west|sensor|67|paid
1505|birch|east|pump|12|pending
1941|dorian|south|rotor|69|held
1839|ionic|east|gasket|35|paid
1773|dorian|north|gasket|88|held
2006|cobalt|west|valve|49|paid
2227|gale|south|pump|36|shipped
2220|juno|east|valve|43|paid
1489|ember|south|panel|45|pending
1330|cobalt|north|cable|10|shipped
2002|ember|south|cable|35|paid
2112|birch|north|rotor|79|pending
1970|ember|east|gasket|22|paid
1472|gale|west|valve|66|shipped
1856|dorian|east|valve|68|shipped
1802|gale|south|gasket|86|pending
1426|dorian|south|valve|44|paid
1492|acme|west|panel|19|pending
1678|cobalt|east|pump|41|shipped
1428|dorian|south|pump|48|paid
2050|harbor|north|cable|20|shipped
1316|gale|south|valve|84|pending
1360|acme|east|sensor|98|held
1611|cobalt|east|gasket|33|paid
1722|ember|east|cable|27|held
1552|gale|south|sensor|76|paid
1546|fulton|north|panel|66|shipped
1900|ember|north|gasket|62|pending
1919|ember|east|valve|45|pending
1715|birch|south|valve|78|held
1467|ionic|south|gasket|95|shipped
2040|birch|north|rotor|39|shipped
1833|gale|south|gasket|52|held
1797|dorian|east|rotor|35|paid
1688|birch|south|cable|20|shipped
2232|cobalt|south|valve|90|shipped
1350|ionic|west|cable|44|pending
2221|cobalt|south|sensor|38|shipped
1936|juno|south|cable|94|shipped
1406|cobalt|east|pump|49|pending
1632|cobalt|north|sensor|96|pending
1320|gale|west|valve|33|paid
1887|ionic|west|pump|90|held
1458|harbor|west|gasket|33|paid
1927|gale|east|rotor|48|shipped
2217|harbor|south|valve|57|pending
2037|harbor|west|pump|25|paid
1914|fulton|west|gasket|44|paid
1348|acme|east|gasket|35|pending
1599|fulton|north|frame|23|pending
1850|dorian|north|gasket|41|shipped
1559|juno|east|gasket|34|held
2101|juno|north|panel|30|pending
2203|dorian|west|rotor|18|held
1379|dorian|south|panel|63|paid
1764|ember|north|rotor|88|paid
2027|fulton|south|gasket|90|held
1366|birch|east|sensor|90|shipped
1587|birch|west|sensor|95|pending
1533|ember|east|frame|93|shipped
2154|fulton|south|sensor|96|pending
1273|gale|west|rotor|26|pending
1452|harbor|west|panel|79|shipped
1781|dorian|north|panel|10|held
1707|acme|north|pump|45|pending
1627|fulton|north|cable|13|paid
1577|cobalt|north|cable|13|shipped
1765|cobalt|west|frame|74|held
2022|harbor|east|valve|21|shipped
2031|ember|south|pump|90|paid
1844|cobalt|west|cable|72|pending
1708|birch|west|panel|85|shipped
1961|birch|west|valve|37|pending
2073|acme|east|panel|84|pending
2173|cobalt|west|frame|31|pending
1521|birch|north|panel|28|shipped
1391|birch|east|pump|25|held
1281|gale|east|panel|88|pending
2007|gale|west|sensor|58|shipped
1825|dorian|south|cable|31|held
1574|cobalt|west|frame|94|paid
2249|cobalt|east|rotor|21|pending
2164|harbor|north|panel|49|pending
1997|dorian|east|cable|66|paid
1475|cobalt|west|cable|36|shipped
1759|dorian|north|panel|17|shipped
1872|cobalt|west|sensor|63|paid
2266|dorian|east|rotor|21|held
1411|birch|east|valve|19|shipped
2015|acme|south|cable|84|paid
2190|acme|east|cable|37|shipped
2167|ionic|east|cable|67|shipped
1507|juno|north|sensor|53|pending
1993|birch|east|frame|44|paid
2157|juno|west|gasket|43|pending
1893|acme|east|gasket|74|held
1975|dorian|west|panel|16|paid
1745|dorian|north|cable|69|pending
1277|gale|west|valve|32|shipped
1279|gale|west|cable|10|pending
1595|juno|east|frame|50|paid
1687|cobalt|north|valve|84|pending
2208|ember|east|gasket|62|held
1429|birch|south|pump|48|paid
1793|ember|north|valve|45|held
2064|acme|north|sensor|58|paid
1300|gale|west|pump|99|pending
1388|juno|west|gasket|67|paid
1982|fulton|north|valve|53|shipped
2109|fulton|west|valve|37|held
1924|dorian|south|cable|89|held
2054|juno|south|frame|64|pending
2063|ember|south|gasket|27|paid
1343|gale|east|cable|23|paid
2179|acme|north|frame|76|shipped
1754|ember|north|rotor|12|paid
2060|juno|north|frame|25|held
1600|ember|east|rotor|42|pending
1371|acme|north|sensor|27|paid
1648|acme|south|sensor|43|held
2136|ember|west|cable|24|held
1864|acme|west|pump|39|shipped
2193|gale|east|sensor|24|pending
2043|acme|south|rotor|17|held
2239|birch|east|cable|57|held
1738|harbor|north|rotor|19|shipped
1667|juno|south|pump|74|paid
1796|ionic|south|rotor|57|paid
2146|fulton|north|panel|12|held
2080|fulton|north|rotor|19|paid
1733|juno|east|cable|94|held
1787|birch|south|pump|91|shipped
1447|gale|west|gasket|27|pending
2183|juno|north|pump|11|held
2118|ionic|north|pump|35|pending
2125|harbor|east|cable|33|pending
2014|fulton|east|gasket|67|held
1878|ionic|south|valve|75|pending
1677|ember|south|frame|81|held
1526|fulton|west|frame|91|pending
1417|dorian|north|sensor|55|pending
1695|dorian|west|pump|27|held
1954|ember|east|frame|44|pending
1305|gale|south|pump|46|pending
2199|cobalt|west|frame|12|pending
1287|gale|west|panel|84|pending
1755|cobalt|north|valve|75|held
2143|ember|north|panel|95|shipped
2145|juno|north|cable|11|pending
2243|harbor|west|valve|58|held
1625|birch|south|sensor|27|held
1568|juno|west|sensor|25|shipped
1500|ionic|south|gasket|19|shipped
2105|fulton|north|frame|86|pending
1702|cobalt|north|pump|19|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 420ms · $0.001 · 1130 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: reports, search
- notifier: billing, reports
- search: (none)
- reports: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]correctagentic.tools.ledger-v1conf 100% · 428ms · $0.002 · 1815 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: $474
- tango: $314
- lima: $532
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $203 from "echo" to "tango"
2. pay $151 from "tango" to "echo"
3. pay $125 from "tango" to "lima"
4. pay $293 from "lima" to "tango"
5. pay $173 from "tango" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 203}},
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 151}},
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 125}},
{"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 293}},
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 173}}
]correctagentic.tools.triage-v1conf 100% · 259ms · $0.002 · 1777 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 → tanaka
- auth → novak
- payments → silva
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 4)
2. "locked out after 2FA change" (category: auth, priority 8)
3. "dashboard shows stale numbers" (category: data, 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": "dashboard shows stale numbers", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]truncatedagentic.tools.context-load-v1anchorconf — · 562ms · $0.015 · 16384 tok
model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 496ms · $0.001 · 915 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: reports
- gateway: notifier, reports
- auth-svc: notifier
- reports: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 625ms · $0.001 · 1011 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: $151
- oscar: $857
- kilo: $301
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $258 from "kilo" to "oscar"
2. pay $558 from "oscar" to "alpha"
3. pay $579 from "kilo" to "oscar"
4. pay $164 from "oscar" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 258}},
{"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 558}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 536}},
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 579}},
{"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 164}}
]truncatedagentic.tools.ledger-v1anchorconf — · 479ms · $0.014 · 16384 tok
model answer:
(none extracted)correctagentic.tools.triage-v1conf 100% · 379ms · $0.002 · 1933 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 → rivera
- infra → okafor
- auth → dubois
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 8)
2. "webhooks not delivered" (category: infra, priority 6)
3. "card declined at checkout" (category: payments, 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": "card declined at checkout", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]truncatedagentic.tools.triage-v1anchorconf — · 425ms · $0.014 · 16384 tok
model answer:
(none extracted)correctagentic.tools.deploy-v1anchorconf 100% · 335ms · $0.001 · 1105 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"}}
]code 30/30 correct
correctcode.trace.nested-v1conf 100% · 309ms · $0.002 · 2027 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
200correctcode.trace.js-v1conf 100% · 444ms · $0.000 · 354 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6, 7]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
36correctcode.trace.python-v1conf 100% · 243ms · $0.001 · 1292 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 9
while total + v <= 106:
if v % 5 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
90correctcode.trace.nested-v1conf 100% · 226ms · $0.003 · 3824 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
226correctcode.trace.js-v1conf 100% · 404ms · $0.001 · 718 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 7) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
294correctcode.trace.nested-v1conf 100% · 245ms · $0.001 · 1629 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
42correctcode.trace.python-v1conf 100% · 242ms · $0.001 · 569 tok
question
What does this Python program print?
```python
total = 0
v = 11
while total + v <= 98:
if v % 7 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
97correctcode.trace.js-v1conf 100% · 479ms · $0.000 · 495 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8]; 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:
198correctcode.trace.python-v1conf 100% · 418ms · $0.002 · 2296 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 9
while total + v <= 103:
if v % 6 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
72correctcode.trace.nested-v1conf 100% · 460ms · $0.003 · 3952 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 6 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:
250correctcode.trace.js-v1conf 100% · 316ms · $0.000 · 389 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 5) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
75correctcode.trace.python-v1conf 100% · 238ms · $0.001 · 1017 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 3
while total + v <= 35:
if v % 5 != 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:
30correctcode.trace.nested-v1conf 100% · 294ms · $0.002 · 2370 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 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:
210correctcode.trace.js-v1conf 100% · 417ms · $0.000 · 481 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
360correctcode.trace.python-v1conf 100% · 367ms · $0.001 · 819 tok
question
What does this Python program print?
```python
total = 0
v = 6
while total + v <= 101:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
78correctcode.trace.js-v1conf 100% · 375ms · $0.000 · 470 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; 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:
120correctcode.trace.python-v1conf 100% · 241ms · $0.002 · 2211 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 1
while total + v <= 106:
if v % 3 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
90correctcode.trace.nested-v1conf 100% · 381ms · $0.002 · 2641 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
129correctcode.trace.nested-v1conf 100% · 325ms · $0.002 · 2647 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 * 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:
122correctcode.trace.js-v1conf 100% · 361ms · $0.000 · 332 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
72correctcode.trace.nested-v1conf 100% · 349ms · $0.003 · 3556 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
385correctcode.trace.python-v1conf 100% · 378ms · $0.000 · 474 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 42:
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:
31correctcode.trace.js-v1conf 100% · 345ms · $0.000 · 407 tok
question
What does this JavaScript program log? ```js const arr = [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:
405correctcode.trace.python-v1conf 100% · 320ms · $0.001 · 929 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 1
while total + v <= 110:
if v % 6 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
96correctcode.trace.js-v1conf 100% · 439ms · $0.000 · 374 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 5) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
180correctcode.trace.nested-v1conf 100% · 428ms · $0.003 · 2948 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
277correctcode.trace.python-v1anchorconf 100% · 287ms · $0.001 · 1509 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 542ms · $0.003 · 3106 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 634ms · $0.000 · 477 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 442ms · $0.001 · 868 tok
model answer:
40instruction following 27/30 correct
truncatedif.constraints.stack-v1conf — · 254ms · $0.014 · 16384 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "lumen" and the last word must be "orbit". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.repeat-v1conf 100% · 554ms · $0.005 · 5552 tok
question
Write the word "falcon" in lowercase 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:
falcon-falcon-falcon-falcon-falcon-falconcorrectif.format.acronym-v1conf 100% · 279ms · $0.000 · 133 tok
question
Take the first letter of each of these words, in order: nova, delta, basalt, 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:
NDBFcorrectif.constraints.stack-v1conf 100% · 460ms · $0.003 · 4022 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "comet" and the last word must be "orbit". 3. Use the word "lumen" 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 powered relic of the industrial age its gears grind casting shadows that measure lumen by lumen in the dim workshop finds its orbitcorrectif.format.acronym-v1conf 100% · 306ms · $0.001 · 648 tok
question
Take the second letter of each of these words, in order: echo, tundra, lumen, cedar, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CUUEMcorrectif.constraints.stack-v1conf 100% · 370ms · $0.004 · 4322 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "quartz" and the last word must be "cedar". 3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz falcon soars above, leading the long trek across deserts and rivers, and falcon guides the ancient tall cedarcorrectif.format.repeat-v1conf 100% · 486ms · $0.000 · 531 tok
question
Write the word "echo" 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:
echo-echo-echo-echo-echo-echo-echo-echocorrectif.format.acronym-v1conf 100% · 475ms · $0.000 · 232 tok
question
Take the third letter of each of these words, in order: ember, echo, comet, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
BHMMtruncatedif.constraints.stack-v1conf — · 389ms · $0.014 · 16384 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "lumen" and the last word must be "ember". 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:
(none extracted)correctif.format.repeat-v1conf 100% · 248ms · $0.001 · 842 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.constraints.stack-v1conf 100% · 416ms · $0.006 · 6779 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "basalt" and the last word must be "nova". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
basalt cliffs overlook the sea where zephyr whispers to zephyr and the tide sings novacorrectif.constraints.stack-v1conf 100% · 332ms · $0.002 · 2501 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "cedar" and the last word must be "nova". 3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cedar blue waves crash like a comet, painting the moonlit sea with comet trails, comet songs echo across the ancient deep vast novacorrectif.format.acronym-v1conf 100% · 869ms · $0.001 · 663 tok
question
Take the second letter of each of these words, in order: basalt, delta, ember, zephyr, orbit, 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:
AEMEROcorrectif.format.repeat-v1conf 100% · 368ms · $0.001 · 817 tok
question
Write the word "zephyr" in uppercase form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1conf 100% · 247ms · $0.000 · 148 tok
question
Take the first letter of each of these words, in order: falcon, nova, drift, delta, 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:
FNDDEcorrectif.format.repeat-v1conf 100% · 575ms · $0.001 · 655 tok
question
Write the word "echo" in lowercase 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:
echo_echo_echo_echo_echo_echocorrectif.constraints.stack-v1conf 100% · 353ms · $0.005 · 6295 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "cedar" and the last word must be "comet". 3. Use the word "tundra" 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 waves whisper over the sand, tundra echoes, tundra shadows, tundra sighs, and the deep blue sea glows bright like a shimmering silver cometcorrectif.format.acronym-v1conf 100% · 290ms · $0.000 · 339 tok
question
Take the third letter of each of these words, in order: lumen, prism, flint, echo, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MIIHPcorrectif.constraints.stack-v1conf 100% · 392ms · $0.003 · 3223 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "comet" and the last word must be "lumen". 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:
comet soars above the neon city; a falcon glides, a falcon dives, a falcon rests, illuminating lumencorrectif.format.repeat-v1conf 100% · 227ms · $0.000 · 260 tok
question
Write the word "flint" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINTcorrectif.format.acronym-v1conf 100% · 254ms · $0.000 · 198 tok
question
Take the third letter of each of these words, in order: orbit, nova, ember, prism, delta, 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:
BVBILHcorrectif.format.repeat-v1conf 100% · 370ms · $0.001 · 961 tok
question
Write the word "quartz" in capitalized form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZcorrectif.format.acronym-v1conf 100% · 288ms · $0.000 · 280 tok
question
Take the third letter of each of these words, in order: comet, cedar, basalt, delta, quartz, 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:
MDSLANtruncatedif.constraints.stack-v1anchorconf — · 492ms · $0.014 · 16384 tok
model answer:
(none extracted)correctif.format.repeat-v1conf 100% · 235ms · $0.000 · 210 tok
question
Write the word "cedar" in uppercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR_CEDAR_CEDAR_CEDAR_CEDARcorrectif.constraints.stack-v1conf 100% · 382ms · $0.008 · 9555 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "delta" and the last word must be "cedar". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta waters merge with ocean, echo echo echo, salt spray rises, soft gentle cedarcorrectif.format.acronym-v1conf 100% · 369ms · $0.000 · 440 tok
question
Take the third letter of each of these words, in order: cedar, lumen, flint, falcon, prism, 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:
DMILIAcorrectif.format.repeat-v1anchorconf 100% · 233ms · $0.001 · 813 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.acronym-v1anchorconf 100% · 242ms · $0.001 · 1073 tok
model answer:
ZDFQcorrectif.format.repeat-v1anchorconf 100% · 263ms · $0.001 · 1582 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 244ms · $0.000 · 309 tok
question
What is the Burmese 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:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 232ms · $0.000 · 244 tok
question
Name the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 240ms · $0.000 · 275 tok
question
What is the capital of Australia? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 317ms · $0.000 · 143 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 671ms · $0.000 · 245 tok
question
What is the chemical element with symbol Pb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 291ms · $0.000 · 249 tok
question
Identify the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 246ms · $0.000 · 137 tok
question
Name the capital of Australia. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 257ms · $0.000 · 211 tok
question
Name the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 242ms · $0.000 · 217 tok
question
Identify the Swiss capital (de facto). Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 224ms · $0.000 · 151 tok
question
Name the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 372ms · $0.000 · 206 tok
question
Identify the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 384ms · $0.000 · 204 tok
question
Name the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 379ms · $0.000 · 192 tok
question
Name the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 297ms · $0.000 · 384 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 376ms · $0.000 · 312 tok
question
What is the Kazakh capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 383ms · $0.002 · 2345 tok
question
Name the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 237ms · $0.000 · 293 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 381ms · $0.000 · 266 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 312ms · $0.000 · 146 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 224ms · $0.001 · 1454 tok
question
Name the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 236ms · $0.000 · 318 tok
question
Name the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 283ms · $0.000 · 340 tok
question
What is 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:
Berncorrectknowledge.fr.factbank-v2anchorconf 100% · 221ms · $0.001 · 625 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 241ms · $0.000 · 171 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 294ms · $0.000 · 203 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:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 249ms · $0.000 · 238 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 456ms · $0.000 · 186 tok
question
Name the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2anchorconf 100% · 468ms · $0.000 · 151 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 484ms · $0.000 · 175 tok
model answer:
leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 490ms · $0.000 · 110 tok
model answer:
Antimonymath 30/30 correct
correctmath.chained.pipeline-v1conf 100% · 380ms · $0.000 · 324 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 79 × 42. Step 2: Q = P × 7 − 816. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4482correctmath.counterfactual.base-v1conf 100% · 242ms · $0.002 · 1744 tok
question
Work strictly in base 11. Add the base-11 numbers 32A and 128A. 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:
1609correctmath.percent.chain-v2conf 100% · 413ms · $0.001 · 1067 tok
question
An inventory starts at 54000 units. A rival firm shipped 162 unrelated parcels the same week. In the first month the inventory grows by 25%. Each pallet weighs about 16 grams more when wet. The next month it shrinks by 18%, and the month after it grows by 39%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
76936.5correctmath.algebra.system-v2conf 100% · 310ms · $0.000 · 397 tok
question
Solve the system, then answer the derived question. 8x + 4y = 240 6x − 9y = 84 What is the value of 5x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
82correctmath.arith.chain-v2conf 100% · 283ms · $0.000 · 313 tok
question
Compute the value of the following expression. (((60 × 63 − 224) × 8 + 7001) − 32 × 74) × 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:
231567correctmath.percent.chain-v2conf 100% · 341ms · $0.001 · 931 tok
question
An inventory starts at 84000 units. The warehouse was painted 50 years ago. In the first month the inventory grows by 39%. The company was founded 59 kilometers from the port. The next month it shrinks by 20%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
103682.88correctmath.chained.pipeline-v1conf 100% · 371ms · $0.000 · 352 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 82 × 51. Step 2: Q = P × 9 − 455. Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4654correctmath.counterfactual.base-v1conf 100% · 228ms · $0.001 · 591 tok
question
Work strictly in base 11. Multiply the base-11 numbers 3A and 39. 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:
13A2correctmath.algebra.system-v2conf 100% · 250ms · $0.001 · 974 tok
question
Solve the system, then answer the derived question. 6x + 9y = 69 8x − 3y = -343 What is the value of 3x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-183correctmath.percent.chain-v2conf 100% · 400ms · $0.002 · 2012 tok
question
An inventory starts at 90000 units. The warehouse was painted 7 years ago. In the first month the inventory grows by 43%. A rival firm shipped 165 unrelated parcels the same week. The next month it shrinks by 14%, 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:
132818.4correctmath.arith.chain-v2conf 100% · 293ms · $0.001 · 782 tok
question
Calculate the following. Show your reasoning, then answer. (((53 × 96 − 871) × 8 + 1295) − 21 × 27) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
172320correctmath.counterfactual.base-v1conf 100% · 255ms · $0.001 · 833 tok
question
Work strictly in base 9. Add the base-9 numbers 2147 and 2653. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4811correctmath.chained.pipeline-v1conf 100% · 462ms · $0.000 · 250 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 18 × 24. Step 2: Q = P × 6 − 719. 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:
271correctmath.algebra.system-v2conf 100% · 233ms · $0.000 · 337 tok
question
Solve the system, then answer the derived question. 5x + 2y = -116 2x − 9y = 326 What is the value of 3x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90correctmath.arith.chain-v2conf 100% · 380ms · $0.000 · 374 tok
question
Work out the exact value of this expression. (((27 × 50 − 510) × 7 + 8996) − 37 × 68) × 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:
74160correctmath.chained.pipeline-v1conf 100% · 337ms · $0.000 · 421 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 18 × 29. Step 2: Q = P × 9 − 252. 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:
1482correctmath.counterfactual.base-v1conf 100% · 398ms · $0.001 · 681 tok
question
Work strictly in base 13. Add the base-13 numbers 327 and 404. 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:
72Bcorrectmath.percent.chain-v2conf 100% · 419ms · $0.001 · 1010 tok
question
An inventory starts at 11000 units. The company was founded 172 kilometers from the port. In the first month the inventory grows by 40%. A rival firm shipped 78 unrelated parcels the same week. The next month it shrinks by 44%, and the month after it grows by 41%. 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:
12159.84correctmath.percent.chain-v2anchorconf 100% · 465ms · $0.004 · 5244 tok
model answer:
61896.522correctmath.algebra.system-v2conf 100% · 244ms · $0.000 · 491 tok
question
Solve the system, then answer the derived question. 8x + 3y = -179 3x − 8y = 88 What is the value of 6x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
6correctmath.counterfactual.base-v1conf 100% · 443ms · $0.001 · 1394 tok
question
Work strictly in base 8. Multiply the base-8 numbers 26 and 125. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3516correctmath.arith.chain-v2conf 100% · 223ms · $0.001 · 613 tok
question
Work out the exact value of this expression. (((32 × 78 − 489) × 5 + 1566) − 66 × 43) × 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:
17526correctmath.chained.pipeline-v1conf 100% · 529ms · $0.000 · 276 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 39 × 69. Step 2: Q = P × 5 − 913. 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:
2092correctmath.percent.chain-v2conf 100% · 399ms · $0.001 · 1267 tok
question
An inventory starts at 4000 units. The delivery van has a 107-liter fuel tank. In the first month the inventory grows by 5%. The warehouse was painted 171 years ago. The next month it shrinks by 38%, and the month after it grows by 45%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3775.8correctmath.algebra.system-v2conf 100% · 531ms · $0.000 · 259 tok
question
Solve the system, then answer the derived question. 7x + 7y = -280 7x − 3y = 120 What is the value of 2x − 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:
200correctmath.arith.chain-v2conf 100% · 335ms · $0.001 · 780 tok
question
Evaluate the expression below and give the result. (((69 × 56 − 319) × 5 + 2799) − 82 × 91) × 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:
91434correctmath.counterfactual.base-v1anchorconf 100% · 236ms · $0.001 · 1219 tok
model answer:
11236correctmath.chained.pipeline-v1conf 100% · 480ms · $0.000 · 329 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 38 × 49. Step 2: Q = P × 9 − 145. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1853correctmath.arith.chain-v2anchorconf 100% · 596ms · $0.001 · 629 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 337ms · $0.000 · 229 tok
model answer:
87multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 423ms · $0.000 · 420 tok
question
A number is written in French: « cinq cent soixante-dix-huit ». Another is written in Spanish: « cuatrocientos treinta 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:
1011correctmultilingual.numword-v2conf 100% · 245ms · $0.000 · 294 tok
question
Compute 441 + 204, 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 cincocorrectmultilingual.wordnum-v1conf 100% · 221ms · $0.000 · 195 tok
question
A number is written in French: « deux cent soixante-trois ». Another is written in Spanish: « setecientos setenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1038correctmultilingual.numword-v2conf 100% · 362ms · $0.000 · 241 tok
question
Compute 415 + 263, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos setenta y ochocorrectmultilingual.wordnum-v1conf 100% · 223ms · $0.001 · 596 tok
question
A number is written in French: « quatre-vingt-quatorze ». Another is written in Spanish: « trescientos cuarenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-255correctmultilingual.numword-v2conf 100% · 374ms · $0.001 · 976 tok
question
Compute 298 + 212, 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 diezcorrectmultilingual.numword-v2conf 100% · 251ms · $0.001 · 1451 tok
question
Compute 211 + 253, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent soixante-quatrecorrectmultilingual.wordnum-v1conf 100% · 368ms · $0.000 · 316 tok
question
A number is written in French: « six cent quatre-vingt-seize ». Another is written in Spanish: « doscientos 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:
969correctmultilingual.wordnum-v1conf 100% · 379ms · $0.000 · 368 tok
question
A number is written in French: « sept cent cinquante-six ». Another is written in Spanish: « trescientos cincuenta 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:
1113correctmultilingual.numword-v2conf 100% · 248ms · $0.000 · 401 tok
question
Compute 427 + 217, 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 cuatrocorrectmultilingual.wordnum-v1conf 100% · 298ms · $0.000 · 146 tok
question
A number is written in French: « trois cent onze ». Another is written in Spanish: « sesenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
242correctmultilingual.numword-v2conf 100% · 238ms · $0.001 · 1143 tok
question
Compute 324 + 155, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent soixante-dix-neufcorrectmultilingual.numword-v2conf 100% · 229ms · $0.001 · 648 tok
question
Compute 449 + 336, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos ochenta y cincocorrectmultilingual.wordnum-v1conf 100% · 414ms · $0.000 · 458 tok
question
A number is written in French: « sept cent quatre ». Another is written in Spanish: « 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:
637correctmultilingual.wordnum-v1conf 100% · 242ms · $0.000 · 227 tok
question
A number is written in French: « cent seize ». Another is written in Spanish: « ciento veintisiete ». 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:
243correctmultilingual.numword-v2conf 100% · 231ms · $0.000 · 296 tok
question
Compute 122 + 198, 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 veintecorrectmultilingual.wordnum-v1conf 100% · 240ms · $0.000 · 393 tok
question
A number is written in French: « six cent soixante-huit ». Another is written in Spanish: « trescientos trece ». 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:
981correctmultilingual.numword-v2conf 100% · 401ms · $0.000 · 391 tok
question
Compute 366 + 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:
seiscientos dieciséiscorrectmultilingual.numword-v2conf 100% · 395ms · $0.002 · 1993 tok
question
Compute 131 + 154, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent quatre-vingt-cinqcorrectmultilingual.wordnum-v1conf 100% · 425ms · $0.000 · 260 tok
question
A number is written in French: « cent cinquante ». Another is written in Spanish: « setecientos noventa ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
940correctmultilingual.wordnum-v1conf 100% · 235ms · $0.000 · 441 tok
question
A number is written in French: « trois cent vingt-sept ». Another is written in Spanish: « cincuenta 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:
384correctmultilingual.numword-v2conf 100% · 317ms · $0.000 · 538 tok
question
Compute 337 + 355, 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 noventa y doscorrectmultilingual.wordnum-v1conf 100% · 394ms · $0.001 · 1194 tok
question
A number is written in French: « trois cent dix-neuf ». Another is written in Spanish: « novecientos cincuenta 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:
-638correctmultilingual.wordnum-v1conf 100% · 295ms · $0.000 · 527 tok
question
A number is written in French: « trois cent dix-neuf ». Another is written in Spanish: « seiscientos ochenta y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1006correctmultilingual.numword-v2anchorconf 100% · 218ms · $0.001 · 894 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.numword-v2conf 100% · 227ms · $0.000 · 226 tok
question
Compute 205 + 408, 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 trececorrectmultilingual.numword-v2conf 100% · 386ms · $0.000 · 314 tok
question
Compute 177 + 53, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent trentecorrectmultilingual.wordnum-v1anchorconf 100% · 235ms · $0.000 · 314 tok
model answer:
150correctmultilingual.wordnum-v1anchorconf 100% · 370ms · $0.000 · 481 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 399ms · $0.000 · 328 tok
model answer:
seiscientos ochoreasoning 30/30 correct
correctreasoning.deduction.order-v2conf 100% · 352ms · $0.004 · 5229 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Bruno. Goran is heavier than Priya. Quinn is heavier than Goran. Emil is heavier than Goran. Ola is taller than everyone here, but Ola is not being ranked. Priya is heavier than Bruno. Quinn is heavier than Chen. Chen is heavier than Tessa. Chen is heavier than Emil. Bruno is heavier than Tessa. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.position-v1conf 100% · 426ms · $0.000 · 348 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Rosa. Rosa is number 4 in the queue. Alice is directly ahead of Quinn. Quinn 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:
Quinncorrectreasoning.deduction.order-v2conf 100% · 233ms · $0.002 · 2863 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Farah. Chen is older than Quinn. Chen is older than Ines. Farah is older than Jonas. Emil is older than Bruno. Jonas is older than Chen. Bruno is older than Chen. Mona is heavier than everyone here, but Mona is not being ranked. Ines is older than Quinn. Farah is older than Chen. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.order-v2conf 100% · 209ms · $0.003 · 3707 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is older than Quinn. Mona is taller than everyone here, but Mona is not being ranked. Jonas is older than Alice. Rosa is older than Sami. Sami is older than Emil. Alice is older than Farah. Farah is older than Quinn. Quinn is older than Sami. Quinn is older than Rosa. Jonas is older than Emil. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.position-v1conf 100% · 626ms · $0.000 · 288 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 1 in the queue. Quinn is directly ahead of Mona. Mona is directly ahead of Chen. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 364ms · $0.001 · 867 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Quinn. Hana is number 2 in the queue. Rosa is directly ahead of Hana. 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:
Hanacorrectreasoning.deduction.order-v2conf 100% · 400ms · $0.003 · 3511 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Quinn. Priya is older than Kira. Dara is faster than everyone here, but Dara is not being ranked. Jonas is older than Ola. Emil is older than Jonas. Kira is older than Emil. Kira is older than Quinn. Kira is older than Ola. Ola is older than Chen. Ola is older than Quinn. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 100% · 380ms · $0.001 · 909 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Dara. Priya is directly ahead of Kira. Dara is number 2 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.order-v2conf 100% · 320ms · $0.002 · 1886 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Rosa. Kira is older than Liam. Goran is older than Quinn. Goran is older than Rosa. Priya is older than Goran. Kira is older than Rosa. Sami is older than Priya. Nadir is faster than everyone here, but Nadir is not being ranked. Quinn is older than Kira. Rosa is older than Liam. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.position-v1conf 100% · 375ms · $0.001 · 718 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Kira. Liam is number 1 in the queue. Bruno is directly ahead of Chen. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.position-v1conf 100% · 236ms · $0.000 · 540 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Dara. Priya is directly ahead of Hana. Hana is number 4 in the queue. Dara is directly ahead of Priya. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.order-v2conf 100% · 218ms · $0.003 · 3671 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Quinn is taller than Emil. Liam is taller than Rosa. Goran is taller than Sami. Chen is taller than Quinn. Liam is taller than Goran. Rosa is taller than Sami. Rosa is taller than Goran. Emil is taller than Liam. Hana is older than everyone here, but Hana is not being ranked. Quinn is taller than Goran. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.order-v2conf 100% · 376ms · $0.002 · 2490 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is heavier than Alice. Liam is heavier than Hana. Kira is heavier than Quinn. Alice is heavier than Hana. Quinn is heavier than Jonas. Hana is heavier than Jonas. Quinn is heavier than Liam. Nadir is heavier than Hana. Farah is older than everyone here, but Farah is not being ranked. Liam is heavier than Nadir. 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 373ms · $0.001 · 1080 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 1 in the queue. Liam is directly ahead of Bruno. Nadir is directly ahead of Liam. 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:
Brunocorrectreasoning.deduction.position-v1conf 100% · 427ms · $0.001 · 757 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Dara. Dara is directly ahead of Bruno. Mona is number 4 in the queue. Bruno is directly ahead of Mona. 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:
Daracorrectreasoning.deduction.order-v2conf 100% · 369ms · $0.001 · 1447 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Kira. Quinn is heavier than Tessa. Chen is heavier than Rosa. Mona is faster than everyone here, but Mona is not being ranked. Chen is heavier than Kira. Jonas is heavier than Chen. Tessa is heavier than Jonas. Rosa is heavier than Nadir. Kira is heavier than Rosa. Kira is heavier than Nadir. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 100% · 381ms · $0.001 · 751 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Alice. Ines is number 1 in the queue. Alice is directly ahead of Liam. 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 381ms · $0.003 · 3275 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is older than everyone here, but Priya is not being ranked. Sami is faster than Tessa. Liam is faster than Dara. Goran is faster than Rosa. Chen is faster than Liam. Rosa is faster than Dara. Tessa is faster than Goran. Tessa is faster than Liam. Rosa is faster than Liam. Rosa is faster than Chen. 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 468ms · $0.001 · 1713 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Liam. Chen is faster than Nadir. Quinn is faster than Priya. Chen is faster than Ines. Farah is faster than Quinn. Priya is faster than Nadir. Liam is faster than Nadir. Rosa is taller than everyone here, but Rosa is not being ranked. Chen is faster than Nadir. Priya is faster 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:
Quinncorrectreasoning.deduction.order-v2conf 100% · 366ms · $0.002 · 2431 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is taller than everyone here, but Chen is not being ranked. Nadir is faster than Ola. Ola is faster than Kira. Quinn is faster than Nadir. Mona is faster than Quinn. Alice is faster than Mona. Nadir is faster than Kira. Jonas is faster than Mona. Alice is faster than Jonas. Quinn is faster than Kira. 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:
Olacorrectreasoning.deduction.position-v1conf 100% · 392ms · $0.000 · 498 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 3 in the queue. Sami is directly ahead of Bruno. Bruno is directly ahead of Tessa. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1conf 100% · 651ms · $0.000 · 435 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 4 in the queue. Bruno is directly ahead of Dara. Dara is directly ahead of Priya. Priya is directly ahead of Goran. 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:
Brunocorrectreasoning.deduction.order-v2conf 100% · 393ms · $0.001 · 1176 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Mona. Dara is taller than Nadir. Rosa is taller than Liam. Goran is taller than Dara. Chen is taller than Rosa. Quinn is heavier than everyone here, but Quinn is not being ranked. Rosa is taller than Goran. Nadir is taller than Liam. Liam is taller than Mona. Dara is taller than Mona. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 546ms · $0.001 · 1482 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Jonas. Jonas is directly ahead of Liam. Chen is number 1 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.order-v2conf 100% · 370ms · $0.003 · 3052 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Jonas is taller than Liam. Chen is heavier than everyone here, but Chen is not being ranked. Ola is taller than Ines. Kira is taller than Ola. Ines is taller than Liam. Dara is taller than Kira. Jonas is taller than Quinn. Quinn is taller than Liam. Dara is taller than Ola. Ines is taller than Jonas. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.order-v2anchorconf 100% · 372ms · $0.002 · 2209 tok
model answer:
Monacorrectreasoning.deduction.position-v1conf 100% · 289ms · $0.000 · 388 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Dara. Goran is directly ahead of Mona. Dara is number 4 in the queue. Mona is directly ahead of Alice. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 644ms · $0.001 · 799 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 390ms · $0.001 · 1605 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 482ms · $0.000 · 404 tok
model answer:
Farahterminal 21/30 correct
correctterminal.fs.tree-v1conf 100% · 388ms · $0.006 · 7561 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/build`, `/proj/src`): ``` /proj/draft.md /proj/logs/report.txt /proj/logs/setup.md /proj/notes.log /proj/src/todo.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 cd logs touch ../../proj/index-2.md touch ../../proj/build/index-3.md cd ../../proj/build touch util-6.cfg cd . cp ../../proj/logs/report.txt ./ cd ../../proj/logs cp ../../proj/notes.log ../../proj/build/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/index-3.md
/proj/build/notes.log
/proj/build/report.txt
/proj/build/util-6.cfg
/proj/draft.md
/proj/index-2.md
/proj/logs/report.txt
/proj/logs/setup.md
/proj/notes.log
/proj/src/todo.txtcorrectterminal.exit.chain-v1conf 100% · 228ms · $0.001 · 1649 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
Z
exit:0truncatedterminal.fs.tree-v1conf — · 315ms · $0.014 · 16384 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/docs`, `/proj/logs`): ``` /proj/assets/setup.md /proj/docs/draft.md /proj/docs/report.txt /proj/notes.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 cp util.cfg logs/ cd assets mv ../../proj/docs/draft.md ../../proj/docs/util-8.log cd . cp ../../proj/docs/report.txt ./ mkdir -p docs-6 mv report.txt report-7.cfg cp report-7.cfg ../../proj/logs/ cd docs-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:
(none extracted)correctterminal.pipeline.predict-v1conf 100% · 516ms · $0.001 · 766 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,sales,16,28
cy,legal,84,87
dev,hr,22,22
ned,legal,26,87
ivy,legal,110,87
eli,eng,80,49
hal,legal,13,25
lou,legal,108,68
ana,legal,80,13
oli,hr,87,35
jon,sales,119,34
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
421correctterminal.exit.chain-v1conf 100% · 237ms · $0.001 · 1186 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B false && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f tmp.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
H
exit:1correctterminal.exit.chain-v1conf 100% · 259ms · $0.006 · 7426 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, coral (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D false && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:1correctterminal.pipeline.predict-v1conf 100% · 507ms · $0.001 · 1400 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
eli,sales,32,53
oli,hr,8,96
ana,hr,4,33
lou,ops,14,40
jon,eng,92,17
gus,sales,10,49
cy,eng,51,27
fay,eng,43,99
hal,sales,58,25
kim,hr,100,57
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 71 { 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:
0truncatedterminal.fs.tree-v1conf — · 637ms · $0.014 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/logs`, `/proj/assets`): ``` /proj/assets/index.cfg /proj/logs/setup.log /proj/main.cfg /proj/src/util.txt /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp todo.txt assets/ mv assets/todo.txt logs/ mkdir -p logs/build-4 cd src mkdir -p ../../proj/logs/build-1 cp ../../proj/logs/todo.txt ../../proj/ mv ../../proj/logs/setup.log ../../proj/logs/report-7.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)truncatedterminal.exit.chain-v1conf — · 440ms · $0.014 · 16384 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B true && 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:
(none extracted)truncatedterminal.fs.tree-v1conf — · 568ms · $0.014 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/assets`): ``` /proj/assets/draft.md /proj/assets/report.log /proj/docs/index.cfg /proj/notes.cfg /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp docs/index.cfg ./ cd docs mkdir -p src-4 cp ../../proj/notes.cfg ../../proj/assets/ rm ../../proj/assets/notes.cfg rm ../../proj/assets/report.log mv index.cfg ../../proj/conf/ touch ../../proj/assets/notes-5.cfg rm ../../proj/index.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:
(none extracted)correctterminal.pipeline.predict-v1conf 100% · 256ms · $0.001 · 1062 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ned,legal,29,92 oli,hr,69,16 ivy,legal,45,90 bo,ops,92,96 max,eng,41,72 kim,hr,40,95 eli,ops,14,81 gus,eng,84,22 hal,legal,78,48 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
kim,40
oli,69truncatedterminal.fs.tree-v1conf — · 510ms · $0.014 · 16384 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/docs`): ``` /proj/build/main.cfg /proj/build/notes.txt /proj/docs/todo.txt /proj/report.txt /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p logs/conf-9 mv docs/todo.txt docs/notes-9.txt rm build/main.cfg mkdir -p docs/src-3 touch docs/src-3/todo-9.md mv docs/src-3/todo-9.md docs/src-3/setup-3.cfg mv report.txt logs/conf-9/ ``` 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:
(none extracted)correctterminal.pipeline.predict-v1conf 100% · 511ms · $0.003 · 3140 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,eng,5,81 bo,hr,63,76 dev,ops,57,71 max,eng,48,58 ned,ops,86,14 hal,hr,66,51 ana,hr,57,27 jon,eng,96,78 cy,ops,97,31 oli,legal,78,87 pam,ops,101,48 fay,legal,113,65 eli,hr,19,45 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' 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:
ana,hr,57,27
bo,hr,63,76
hal,hr,66,51truncatedterminal.fs.tree-v1conf — · 448ms · $0.014 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/conf`): ``` /proj/conf/main.md /proj/conf/notes.txt /proj/draft.txt /proj/logs/setup.txt /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm draft.txt rm conf/notes.txt cd . cp conf/main.md ./ mkdir -p docs/logs-9 cd docs/logs-9 rm ../../../proj/main.md touch ../../../proj/notes-4.txt mkdir -p src-1 touch ../../../proj/docs/report-5.log cd ../../../proj/docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 390ms · $0.002 · 1959 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B true && echo C || echo D false && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 226ms · $0.001 · 1591 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
gus,ops,51,64
bo,sales,103,11
oli,eng,17,32
dev,sales,30,63
hal,sales,55,74
lou,legal,108,73
kim,legal,118,91
eli,sales,11,13
cy,hr,90,61
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 58 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1correctterminal.exit.chain-v1conf 100% · 216ms · $0.002 · 1710 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 false && echo A || echo B true && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:1truncatedterminal.fs.tree-v1conf — · 328ms · $0.014 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/conf`): ``` /proj/assets/report.md /proj/conf/main.txt /proj/logs/todo.log /proj/notes.log /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 assets/report.md rm notes.log touch logs/todo-3.txt cd logs touch notes-3.cfg cp ../../proj/conf/main.txt ../../proj/ cd ../../proj mkdir -p assets-2 cd . touch conf/index-7.md cd conf ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.pipeline.predict-v1conf 100% · 566ms · $0.001 · 560 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` pam,legal,98,15 dev,ops,56,25 ivy,sales,35,36 ned,hr,86,64 fay,ops,38,43 bo,legal,90,86 oli,ops,18,55 jon,eng,41,41 eli,ops,5,17 hal,hr,93,36 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
jon,eng,41,41correctterminal.exit.chain-v1conf 100% · 418ms · $0.002 · 1990 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B true && echo C || echo D test -f ghost.txt && echo E || echo F test -f data.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
exit:1correctterminal.fs.tree-v1conf 100% · 510ms · $0.012 · 14360 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/src`): ``` /proj/setup.log /proj/src/index.log /proj/src/report.cfg /proj/src/util.log /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv todo.txt setup-2.cfg touch main-5.md rm src/report.cfg touch conf/main-8.md cd src rm ../../proj/main-5.md cd ../../proj/conf mv ../../proj/src/util.log ../../proj/docs/ mv ../../proj/docs/util.log ../../proj/src/ mkdir -p ../../proj/docs-2 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/conf/main-8.md
/proj/setup-2.cfg
/proj/setup.log
/proj/src/index.log
/proj/src/util.logcorrectterminal.pipeline.predict-v1conf 100% · 386ms · $0.001 · 1104 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` fay,legal,28,83 eli,hr,18,95 bo,hr,60,80 max,eng,9,81 ivy,legal,59,29 jon,legal,83,67 hal,sales,17,20 kim,sales,18,82 lou,sales,19,12 pam,legal,73,60 gus,hr,34,27 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' 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:
hal,sales,17,20
kim,sales,18,82
lou,sales,19,12correctterminal.exit.chain-v1conf 100% · 240ms · $0.002 · 2153 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 test -f tmp.txt && echo C || echo D true && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
H
Z
exit:0truncatedterminal.fs.tree-v1conf — · 412ms · $0.014 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/docs`): ``` /proj/docs/notes.cfg /proj/draft.txt /proj/logs/setup.md /proj/logs/todo.log /proj/main.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp logs/todo.log assets/ mv draft.txt index-1.cfg rm main.log rm docs/notes.cfg mkdir -p docs/assets-7 cd docs mv ../../proj/logs/setup.md ../../proj/logs/setup-2.md cd ../../proj/logs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.pipeline.predict-v1conf 100% · 318ms · $0.002 · 1919 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,hr,24,18 kim,sales,95,10 oli,legal,81,69 hal,legal,32,77 ivy,hr,118,28 dev,ops,81,39 max,eng,37,73 ned,hr,110,73 cy,eng,117,69 lou,ops,83,13 jon,hr,102,88 gus,eng,52,66 eli,sales,72,48 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' 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:
eli,sales,72,48
kim,sales,95,10correctterminal.exit.chain-v1conf 100% · 415ms · $0.002 · 2081 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B test -f tmp.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f app.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
G
Z
exit:0truncatedterminal.fs.tree-v1anchorconf — · 486ms · $0.014 · 16384 tok
model answer:
(none extracted)correctterminal.pipeline.predict-v1anchorconf 100% · 348ms · $0.001 · 1519 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 265ms · $0.003 · 3995 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 515ms · $0.001 · 860 tok
model answer:
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