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MoonshotAI: Kimi K2.5
moonshotai/kimi-k2.5 · moonshotai · context 262 144 · in $0.570/1M · out $2.85/1M
Global Index
764
95% CI [701–827] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| instruction following | 775 [638–912] | 0.678 | 0.83 | 0.94 | 0.000 | 563ms | $2.94 | |
| knowledge | 725 [553–897] | 0.542 | 1.00 | 1.00 | 0.000 | 588ms | $1.55 | |
| math | 833 [674–992] | 0.722 | 1.00 | 1.00 | 0.000 | 920ms | $3.63 | |
| multilingual | 788 [627–950] | 0.662 | 0.97 | 0.97 | 0.000 | 982ms | $2.50 | |
| reasoning | 857 [715–999] | 0.761 | 1.00 | 1.00 | 0.000 | 988ms | $3.61 | |
| vision ocr | 604 [455–754] | 0.504 | 0.98 | 0.91 | 0.115 | 2.4s | $2.09 |
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 29/30 correct
correctagentic.tools.ledger-v1conf 100% · 411ms · $0.002 · 463 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $439
- echo: $829
- bravo: $641
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $101 from "bravo" to "echo"
2. pay $223 from "echo" to "kilo"
3. pay $111 from "bravo" to "echo"
4. pay $287 from "echo" to "bravo"
5. pay $578 from "bravo" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 101}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 223}},
{"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 111}},
{"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 287}},
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 578}}
]correctagentic.tools.triage-v1conf 100% · 484ms · $0.001 · 257 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → novak
- data → haddad
- auth → rivera
INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "SSO loop on login" (category: auth, priority 3)
4. "refund double-charged" (category: payments, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.context-load-v1conf 100% · 939ms · $0.006 · 1347 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 (265 records, format: id|customer|region|item|qty|status):
```
2337|birch|south|valve|82|paid
2183|juno|south|gasket|42|paid
1657|fulton|north|rotor|13|held
1507|ionic|west|gasket|62|pending
1494|ionic|south|panel|81|pending
1796|ember|south|valve|57|pending
1966|cobalt|west|frame|74|held
2072|juno|north|sensor|66|held
1916|harbor|south|rotor|85|paid
1817|birch|east|cable|42|held
1825|gale|east|panel|30|shipped
1660|harbor|north|valve|34|shipped
1643|dorian|east|pump|19|pending
2137|cobalt|east|rotor|12|paid
1925|gale|south|sensor|19|paid
2175|cobalt|west|sensor|47|pending
2088|acme|south|frame|55|pending
2393|ember|west|sensor|70|pending
1860|cobalt|east|pump|27|paid
2309|ember|west|panel|90|held
1500|ionic|south|sensor|74|pending
2392|ionic|east|sensor|40|pending
1700|juno|east|cable|34|pending
2144|fulton|east|rotor|79|held
1679|juno|east|panel|94|paid
2247|gale|east|sensor|53|held
2162|birch|south|frame|72|shipped
1551|fulton|west|rotor|91|paid
2264|juno|east|sensor|18|shipped
2054|harbor|north|gasket|92|shipped
1729|acme|west|pump|62|pending
1479|ionic|south|pump|81|pending
1998|fulton|south|panel|12|paid
2381|ember|north|rotor|10|paid
1590|dorian|south|rotor|25|shipped
2253|acme|north|cable|80|paid
1688|dorian|east|rotor|67|paid
1935|fulton|west|gasket|91|paid
2048|cobalt|south|rotor|29|pending
1490|ionic|south|valve|74|held
1453|ionic|west|gasket|98|pending
1581|juno|south|pump|17|shipped
1648|ionic|east|pump|80|paid
1948|gale|west|panel|90|held
2228|gale|east|cable|18|paid
1672|juno|south|sensor|42|shipped
1718|fulton|east|valve|91|pending
2126|fulton|north|pump|60|held
2180|ember|west|pump|68|pending
1942|birch|south|valve|62|pending
1622|gale|west|pump|14|held
1913|cobalt|south|pump|12|pending
1576|fulton|west|gasket|97|pending
1932|ionic|north|gasket|79|paid
2302|ionic|north|frame|96|pending
2506|juno|north|sensor|50|paid
2274|acme|north|frame|76|shipped
2361|juno|west|cable|15|paid
1784|dorian|south|pump|99|pending
2251|fulton|west|rotor|85|pending
2267|birch|west|valve|24|pending
1605|dorian|south|panel|97|shipped
2020|cobalt|east|cable|12|held
2500|birch|north|frame|51|held
2380|ionic|west|valve|46|paid
2254|birch|west|cable|94|paid
2241|ionic|west|gasket|45|paid
1815|ember|south|valve|18|paid
2005|juno|east|valve|47|shipped
1703|fulton|east|cable|65|shipped
1587|acme|east|panel|86|paid
1526|cobalt|west|sensor|53|paid
1745|dorian|east|gasket|98|paid
1818|gale|south|sensor|16|paid
1915|dorian|east|panel|68|pending
1965|harbor|south|panel|84|shipped
2073|acme|south|rotor|23|shipped
2433|dorian|east|rotor|95|paid
1618|gale|south|rotor|67|paid
2445|cobalt|west|sensor|78|paid
2214|ember|south|valve|95|shipped
1623|dorian|south|pump|12|held
1721|ember|west|panel|91|paid
2110|fulton|north|frame|83|shipped
1737|dorian|south|panel|43|held
2122|cobalt|north|cable|63|pending
1602|harbor|north|frame|92|held
2210|gale|south|cable|60|held
2004|gale|south|pump|89|pending
2352|dorian|west|frame|37|shipped
2086|dorian|east|rotor|45|paid
2193|fulton|north|gasket|20|paid
2044|gale|west|rotor|74|shipped
1557|ionic|south|frame|82|held
1636|birch|north|gasket|52|pending
2407|gale|north|valve|84|paid
1712|fulton|south|valve|41|shipped
1741|fulton|north|sensor|97|shipped
2321|ember|east|sensor|34|held
1832|harbor|west|valve|23|paid
2462|fulton|north|frame|92|shipped
2223|gale|south|cable|66|held
2041|birch|north|cable|59|shipped
1496|ionic|east|cable|42|pending
1627|birch|south|valve|78|shipped
2341|ionic|south|frame|19|pending
1843|ionic|south|frame|61|held
1596|fulton|south|cable|71|held
2117|juno|north|sensor|84|pending
2403|birch|west|frame|66|held
2053|acme|north|rotor|38|pending
1517|birch|east|rotor|34|paid
1654|acme|west|rotor|87|pending
2458|birch|south|gasket|65|paid
1897|acme|north|pump|47|paid
1884|juno|west|cable|43|shipped
1486|ionic|north|rotor|79|pending
1872|dorian|north|valve|32|held
2345|ionic|south|rotor|94|held
1824|gale|west|panel|18|pending
2205|fulton|east|cable|41|held
1678|cobalt|north|rotor|75|paid
1694|dorian|west|frame|99|pending
1891|dorian|west|valve|70|shipped
2240|juno|north|gasket|32|held
1766|ionic|west|gasket|62|held
2050|juno|north|rotor|57|held
1877|dorian|south|rotor|73|pending
1768|cobalt|west|frame|18|pending
1628|harbor|east|frame|47|held
2190|cobalt|east|panel|71|pending
1461|ionic|south|valve|67|pending
1667|acme|west|sensor|36|pending
2397|dorian|north|gasket|62|shipped
1567|ember|north|sensor|56|paid
2141|acme|west|panel|53|paid
2199|harbor|west|gasket|14|pending
1650|dorian|east|frame|16|held
1759|fulton|west|sensor|39|shipped
1736|birch|west|rotor|33|paid
1804|ember|west|valve|92|held
2014|fulton|north|cable|13|pending
1514|ionic|south|valve|10|paid
1539|dorian|north|valve|81|shipped
1668|ember|east|cable|27|held
1980|cobalt|north|pump|89|held
2269|acme|north|valve|36|paid
2514|juno|east|frame|37|held
2066|ember|south|valve|58|shipped
1952|fulton|west|valve|75|paid
1543|acme|south|frame|79|pending
2056|juno|south|panel|91|shipped
1720|ember|west|panel|51|pending
1545|juno|west|frame|69|paid
2061|gale|east|panel|30|held
2474|fulton|north|cable|12|shipped
2211|dorian|west|pump|32|pending
1807|dorian|west|valve|78|pending
2508|ionic|north|frame|71|shipped
1814|dorian|east|panel|31|paid
2026|ionic|south|valve|91|pending
2492|birch|north|pump|25|paid
2317|gale|east|panel|85|paid
1705|cobalt|north|cable|81|held
2008|cobalt|north|cable|68|paid
1497|ionic|south|panel|89|held
2281|ember|west|panel|39|pending
1856|ionic|east|panel|74|held
2451|gale|north|valve|31|shipped
2079|acme|south|cable|86|paid
2248|juno|south|cable|40|held
1561|juno|south|valve|94|held
1994|birch|north|pump|15|shipped
1571|dorian|south|pump|88|paid
2527|gale|east|frame|91|shipped
1988|cobalt|north|gasket|63|shipped
1467|ionic|east|panel|79|pending
2146|dorian|east|gasket|22|paid
2411|cobalt|south|sensor|26|shipped
2330|harbor|south|panel|49|held
2357|birch|north|sensor|20|paid
2494|acme|east|panel|62|held
1612|juno|east|panel|11|pending
2133|acme|south|gasket|75|pending
2366|acme|west|pump|10|paid
2030|fulton|west|frame|77|held
2068|fulton|north|frame|85|pending
1907|ionic|north|cable|37|pending
2323|ionic|east|panel|46|held
2101|harbor|west|cable|19|pending
2172|gale|east|rotor|82|pending
1524|gale|north|rotor|68|held
1973|cobalt|west|panel|14|shipped
1866|harbor|east|gasket|21|pending
2289|cobalt|south|pump|46|pending
2328|ember|north|panel|26|pending
2239|acme|west|gasket|26|shipped
1803|birch|west|sensor|48|pending
2422|ionic|east|valve|77|pending
2429|acme|east|cable|96|paid
2389|gale|north|frame|81|pending
2415|juno|south|cable|46|pending
1790|cobalt|west|rotor|11|held
1753|fulton|south|rotor|87|pending
1456|ionic|south|panel|62|paid
1532|ember|north|panel|24|shipped
2521|harbor|east|frame|10|held
2512|juno|north|rotor|14|pending
2153|cobalt|east|panel|14|held
1903|acme|east|sensor|41|pending
1527|acme|south|panel|44|held
1474|ionic|south|frame|12|paid
2296|harbor|west|cable|16|held
1986|cobalt|west|valve|90|shipped
2158|cobalt|west|cable|75|pending
1874|gale|north|pump|14|held
2388|acme|south|rotor|26|shipped
1836|acme|south|pump|76|shipped
2130|acme|south|rotor|59|pending
1752|dorian|south|valve|85|pending
1722|fulton|west|valve|69|held
2233|ember|west|cable|19|pending
1854|fulton|west|cable|67|held
1850|harbor|north|cable|38|held
1772|fulton|west|sensor|69|held
2168|acme|south|pump|44|held
2204|dorian|east|cable|14|paid
2468|fulton|south|gasket|61|shipped
2049|harbor|north|cable|30|held
1681|dorian|east|gasket|72|held
2037|ember|south|valve|80|shipped
1568|acme|east|gasket|27|shipped
1552|juno|north|pump|40|shipped
1971|cobalt|north|cable|23|held
2438|acme|east|pump|84|paid
2260|gale|north|frame|69|held
2412|ionic|east|panel|31|paid
2283|ionic|north|sensor|68|paid
2312|cobalt|west|sensor|59|pending
2099|cobalt|south|panel|28|paid
1923|fulton|east|panel|11|held
2416|harbor|west|frame|69|shipped
1755|harbor|west|sensor|73|shipped
2517|cobalt|west|cable|86|pending
1892|juno|west|sensor|60|pending
1726|dorian|east|sensor|97|shipped
2399|birch|east|panel|34|shipped
1781|juno|north|panel|20|paid
2490|fulton|west|frame|24|shipped
2479|ionic|north|pump|57|shipped
1633|cobalt|west|frame|22|held
2018|acme|south|cable|47|pending
2218|gale|west|cable|56|shipped
2373|fulton|north|pump|52|paid
2107|ember|south|sensor|55|pending
2032|birch|north|pump|93|paid
1447|ionic|south|sensor|68|pending
2486|fulton|west|sensor|50|shipped
2311|juno|north|frame|60|shipped
1958|juno|south|frame|92|shipped
2305|ionic|north|sensor|38|pending
2257|cobalt|west|frame|83|pending
2094|juno|south|rotor|44|paid
2465|birch|north|valve|77|shipped
1779|acme|west|frame|32|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "sensor", "qty": 68}},
{"tool": "restock", "args": {"item": "valve", "qty": 67}},
{"tool": "restock", "args": {"item": "pump", "qty": 81}},
{"tool": "restock", "args": {"item": "panel", "qty": 81}},
{"tool": "restock", "args": {"item": "sensor", "qty": 74}},
{"tool": "restock", "args": {"item": "valve", "qty": 91}},
{"tool": "cancel_order", "args": {"order_id": 2341}}
]correctagentic.tools.deploy-v1conf 100% · 408ms · $0.000 · 99 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: (none)
- notifier: billing
- auth-svc: notifier
- reports: billing, notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 565ms · $0.002 · 589 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $596
- alpha: $500
- echo: $763
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $550 from "alpha" to "echo"
2. pay $562 from "alpha" to "tango"
3. pay $233 from "tango" to "echo"
4. pay $132 from "tango" to "alpha"
5. pay $455 from "echo" 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": "top_up_from_reserve", "args": {"account": "alpha", "amount": 50}},
{"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 550}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 562}},
{"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 562}},
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 233}},
{"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 132}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 455}}
]correctagentic.tools.context-load-v1conf 100% · 641ms · $0.006 · 1172 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 (266 records, format: id|customer|region|item|qty|status):
```
1781|juno|south|cable|73|shipped
1621|ionic|east|valve|40|paid
1650|cobalt|north|panel|91|held
2305|dorian|east|pump|19|held
1703|gale|south|panel|47|shipped
1616|ember|west|frame|44|paid
2234|ember|south|gasket|90|shipped
1914|gale|south|panel|60|pending
1986|cobalt|north|sensor|31|paid
2038|acme|west|panel|20|paid
1800|gale|east|rotor|62|shipped
1407|dorian|west|gasket|51|paid
1594|gale|east|panel|72|held
1405|ionic|south|rotor|63|held
1448|acme|west|rotor|81|paid
1552|fulton|west|valve|48|paid
2028|harbor|east|frame|83|paid
2394|dorian|north|pump|18|shipped
1362|cobalt|north|cable|14|pending
1637|gale|north|valve|97|paid
1666|cobalt|east|panel|62|paid
2409|ionic|west|frame|90|held
1478|ionic|west|sensor|79|pending
2285|gale|north|pump|19|pending
2318|ionic|north|frame|34|pending
1654|ionic|south|sensor|53|pending
1878|juno|north|rotor|37|paid
2007|gale|east|panel|74|held
1669|gale|west|valve|13|pending
2156|dorian|north|sensor|46|shipped
1745|harbor|west|frame|48|held
2082|ionic|north|rotor|43|pending
2259|cobalt|south|valve|43|paid
1428|ionic|east|pump|79|shipped
1712|acme|north|gasket|78|paid
2330|gale|south|gasket|46|held
1623|fulton|north|pump|82|shipped
2107|ember|south|cable|50|pending
1716|birch|west|gasket|98|held
2137|dorian|south|frame|76|paid
2014|ember|east|valve|30|held
1358|cobalt|south|valve|78|pending
2387|birch|north|frame|75|held
2329|ionic|north|gasket|71|shipped
1701|juno|south|frame|11|paid
2068|acme|south|frame|16|shipped
1763|gale|west|pump|40|shipped
1941|ionic|north|gasket|46|shipped
1479|harbor|north|rotor|19|held
1403|birch|south|frame|40|shipped
1774|fulton|east|pump|83|pending
2289|juno|west|panel|30|paid
1675|dorian|west|sensor|53|paid
1636|cobalt|west|panel|69|paid
1453|fulton|north|pump|18|held
1709|gale|south|frame|99|paid
2091|gale|east|rotor|64|paid
1348|cobalt|south|frame|48|pending
1424|ember|west|rotor|37|paid
2348|harbor|north|valve|72|paid
1404|birch|west|panel|56|held
1658|fulton|west|valve|62|paid
2398|cobalt|north|gasket|69|shipped
1738|dorian|east|panel|82|held
1597|ionic|south|gasket|88|paid
1655|fulton|west|sensor|77|pending
1602|fulton|west|gasket|23|pending
2296|fulton|south|pump|32|shipped
2333|gale|south|pump|94|shipped
1564|acme|west|cable|33|shipped
2363|acme|north|cable|14|held
1549|dorian|east|valve|64|paid
1954|fulton|west|cable|62|shipped
1431|ionic|north|frame|54|shipped
2399|harbor|west|sensor|23|paid
1667|cobalt|west|rotor|38|paid
1851|dorian|north|sensor|63|shipped
1722|dorian|north|frame|14|paid
1992|juno|north|sensor|46|paid
2383|dorian|west|rotor|32|pending
2046|fulton|east|rotor|12|held
1833|gale|north|panel|68|shipped
1859|dorian|east|rotor|86|held
2120|ember|north|panel|49|held
2369|fulton|north|gasket|18|shipped
1764|gale|south|valve|89|held
2224|dorian|east|rotor|43|held
2218|ionic|west|valve|75|paid
1661|gale|north|gasket|32|shipped
2193|acme|west|valve|60|paid
2212|ionic|west|valve|90|pending
1493|gale|north|frame|79|pending
1832|acme|east|gasket|25|paid
2260|ionic|east|panel|99|pending
2309|ember|east|pump|23|pending
2356|gale|south|panel|73|shipped
2196|birch|west|panel|55|paid
2326|harbor|east|valve|36|shipped
2051|cobalt|east|frame|75|paid
1582|cobalt|east|valve|48|shipped
1482|gale|west|pump|41|pending
2203|cobalt|west|pump|14|paid
1877|birch|east|cable|38|shipped
1892|ember|west|gasket|97|pending
2406|dorian|east|sensor|96|shipped
2094|birch|west|panel|41|pending
1684|birch|east|sensor|53|paid
1614|ionic|north|cable|86|pending
1823|ember|west|sensor|42|paid
1921|dorian|north|rotor|36|shipped
2130|birch|south|valve|14|held
2300|gale|east|gasket|41|pending
2325|ember|south|cable|15|held
1612|ember|west|gasket|88|paid
1414|birch|east|sensor|48|pending
1971|juno|west|rotor|39|shipped
2159|fulton|west|sensor|32|paid
2202|juno|west|gasket|59|pending
2368|gale|west|rotor|33|shipped
1799|acme|north|gasket|50|shipped
2002|ember|west|frame|86|shipped
1869|acme|east|sensor|90|shipped
1626|ionic|south|frame|67|paid
2133|dorian|east|pump|75|pending
2277|dorian|north|gasket|57|pending
1643|harbor|north|panel|97|held
1934|ember|east|sensor|94|paid
1969|ember|south|valve|56|paid
2278|birch|north|valve|62|held
1720|dorian|east|cable|82|shipped
1811|dorian|north|sensor|42|paid
1607|ionic|west|cable|71|pending
1702|gale|west|sensor|80|pending
2321|harbor|east|gasket|18|shipped
1373|cobalt|south|cable|76|pending
1872|juno|west|sensor|15|held
1471|gale|north|valve|65|held
1855|harbor|north|frame|20|paid
1419|birch|east|valve|13|held
1736|gale|north|gasket|27|pending
2123|fulton|west|frame|70|shipped
1617|fulton|east|gasket|73|paid
2175|cobalt|south|sensor|81|paid
1460|ember|north|pump|55|pending
1353|cobalt|south|rotor|12|shipped
2084|fulton|east|valve|21|shipped
2410|ionic|south|frame|23|held
2342|gale|east|cable|11|held
2114|acme|north|valve|82|pending
2335|dorian|west|panel|31|shipped
1691|dorian|east|cable|21|paid
1973|ember|east|valve|24|paid
1523|fulton|south|valve|23|shipped
1561|gale|south|valve|18|pending
1819|gale|north|sensor|91|shipped
1391|cobalt|east|sensor|62|pending
1488|birch|south|cable|20|shipped
1530|ionic|south|gasket|89|shipped
2286|cobalt|east|cable|89|paid
1570|birch|south|rotor|94|held
1769|dorian|east|cable|15|paid
1849|harbor|south|pump|22|paid
2311|birch|south|panel|96|pending
1496|dorian|west|panel|88|shipped
1978|fulton|west|cable|48|pending
2067|fulton|east|gasket|43|held
2010|harbor|west|pump|18|paid
1632|birch|west|cable|81|pending
2031|harbor|east|rotor|54|held
2169|harbor|north|frame|20|paid
2124|acme|south|gasket|26|pending
1499|acme|north|gasket|20|paid
2054|ember|south|gasket|12|paid
2061|cobalt|east|gasket|79|held
2149|juno|north|pump|37|paid
1929|ionic|north|panel|16|shipped
1426|dorian|west|frame|48|shipped
2217|harbor|north|frame|98|pending
1383|cobalt|south|valve|32|held
1351|cobalt|east|frame|65|pending
1648|ionic|east|valve|27|held
2261|cobalt|east|cable|85|pending
1865|harbor|east|gasket|86|held
1909|ember|west|pump|39|pending
1384|cobalt|south|panel|43|pending
1656|juno|north|sensor|52|shipped
1512|cobalt|west|cable|28|pending
2013|gale|east|sensor|63|pending
1719|fulton|south|rotor|41|shipped
1505|cobalt|east|gasket|53|shipped
1665|ionic|east|panel|37|pending
1586|dorian|south|rotor|98|held
1756|ionic|north|panel|97|pending
1902|fulton|south|rotor|11|paid
1948|dorian|east|cable|13|pending
1920|birch|north|sensor|38|pending
2207|gale|south|frame|56|paid
1818|ionic|south|rotor|55|held
1368|cobalt|south|rotor|37|paid
2264|juno|south|pump|51|held
2352|birch|east|valve|79|held
1919|ionic|west|valve|40|shipped
1682|cobalt|north|cable|71|held
2382|ionic|west|gasket|18|paid
2180|birch|west|sensor|31|shipped
2376|acme|south|valve|28|shipped
1593|acme|west|panel|46|held
2100|gale|east|sensor|77|pending
2343|dorian|west|frame|21|shipped
2142|juno|east|sensor|11|held
2253|ionic|north|pump|81|held
1437|ionic|south|valve|55|shipped
1396|cobalt|south|cable|53|held
1824|ember|west|pump|48|paid
1829|ember|north|sensor|27|paid
2071|birch|west|rotor|98|held
2187|ionic|south|valve|72|shipped
1776|harbor|west|frame|48|held
2042|acme|north|pump|59|shipped
1985|birch|north|valve|18|pending
2372|birch|south|rotor|21|held
1967|dorian|west|panel|50|pending
1927|dorian|north|rotor|55|paid
2125|dorian|east|pump|80|pending
1807|acme|east|sensor|48|paid
1989|ionic|east|pump|92|paid
1884|gale|north|cable|95|held
1886|juno|west|pump|77|paid
1376|cobalt|east|rotor|41|pending
2020|cobalt|south|rotor|60|held
2239|ionic|north|rotor|17|paid
2275|ember|west|valve|59|paid
2167|juno|east|valve|87|paid
2240|ionic|east|rotor|96|paid
2246|dorian|north|gasket|85|shipped
1466|cobalt|east|valve|40|held
1995|fulton|east|gasket|95|pending
1795|ember|north|cable|93|shipped
1516|juno|north|gasket|30|held
1843|ionic|west|pump|20|pending
1442|cobalt|north|rotor|15|held
1529|fulton|north|rotor|51|paid
2023|gale|west|frame|45|paid
1696|ionic|north|panel|52|paid
1950|birch|west|gasket|29|held
2112|harbor|north|cable|58|paid
2227|acme|north|sensor|36|paid
1788|birch|south|frame|15|pending
1446|acme|west|pump|98|paid
1752|dorian|east|rotor|97|held
1577|cobalt|east|pump|52|held
2225|birch|east|panel|52|held
1544|ember|north|frame|48|shipped
2166|fulton|west|cable|40|pending
1441|cobalt|south|pump|36|shipped
2366|dorian|south|valve|83|held
1896|acme|south|panel|27|held
2078|juno|north|sensor|89|pending
2270|acme|south|frame|41|paid
1730|gale|west|valve|86|shipped
1961|cobalt|south|panel|72|held
2280|ember|west|panel|88|held
1727|fulton|west|pump|70|held
1537|cobalt|south|cable|44|held
1557|juno|north|panel|18|pending
1838|fulton|north|sensor|63|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1348}},
{"tool": "restock", "args": {"item": "valve", "qty": 78}},
{"tool": "restock", "args": {"item": "cable", "qty": 76}},
{"tool": "cancel_order", "args": {"order_id": 1384}}
]correctagentic.tools.triage-v1conf 100% · 2.0s · $0.001 · 178 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → tanaka
- auth → rivera
- data → dubois
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 6)
2. "webhooks not delivered" (category: infra, priority 6)
3. "export file corrupted" (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": "webhooks not delivered", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}
]correctagentic.tools.deploy-v1conf 100% · 461ms · $0.000 · 96 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: (none)
- billing: search
- gateway: billing, notifier
- notifier: billing, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 456ms · $0.002 · 523 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $258
- echo: $853
- tango: $206
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $393 from "tango" to "echo"
2. pay $449 from "echo" to "delta"
3. pay $314 from "delta" to "echo"
4. pay $136 from "delta" to "echo"
5. pay $254 from "echo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 187}},
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 393}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 449}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 314}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 136}},
{"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 254}}
]correctagentic.tools.triage-v1conf 100% · 439ms · $0.001 · 179 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 → rivera
- infra → silva
- data → dubois
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 7)
2. "API latency spikes" (category: infra, priority 6)
3. "SSO loop on login" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.ledger-v1conf 100% · 3.5s · $0.005 · 1556 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $162
- kilo: $313
- alpha: $587
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $197 from "delta" to "kilo"
2. pay $192 from "alpha" to "kilo"
3. pay $133 from "delta" to "kilo"
4. pay $439 from "kilo" 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": "top_up_from_reserve", "args": {"account": "delta", "amount": 35}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 197}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 192}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 133}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 133}},
{"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 439}}
]correctagentic.tools.context-load-v1conf 100% · 634ms · $0.005 · 730 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 (297 records, format: id|customer|region|item|qty|status):
```
2612|ember|west|cable|43|pending
2478|ember|west|rotor|52|pending
2510|ionic|south|pump|64|shipped
2020|cobalt|south|panel|38|shipped
1465|birch|east|gasket|18|pending
2127|juno|south|valve|65|pending
1958|gale|east|sensor|69|shipped
1993|ionic|west|sensor|30|held
1961|ember|west|pump|25|paid
2264|birch|north|sensor|14|shipped
2284|ionic|south|valve|88|pending
1897|birch|north|cable|17|pending
2108|acme|south|sensor|24|shipped
2172|ember|south|pump|16|paid
1524|juno|north|sensor|40|shipped
2437|gale|north|pump|28|held
2035|ionic|south|pump|77|pending
2331|cobalt|west|sensor|53|paid
1685|ember|east|rotor|29|shipped
1704|ionic|east|rotor|81|shipped
2474|dorian|west|sensor|98|shipped
2273|acme|east|frame|20|shipped
1434|ember|west|panel|37|pending
1624|ember|east|cable|75|held
1433|ember|west|panel|51|shipped
2320|gale|north|gasket|52|shipped
1445|ember|west|sensor|19|paid
1803|acme|east|rotor|66|held
1593|acme|east|gasket|81|shipped
2611|ember|south|pump|31|paid
1860|acme|west|gasket|56|paid
1653|fulton|east|valve|92|paid
2302|ember|east|frame|76|held
1777|harbor|east|panel|11|held
2026|gale|west|pump|49|held
1883|juno|north|gasket|18|held
2332|birch|south|rotor|86|held
1757|ionic|north|cable|48|held
2409|harbor|north|panel|20|shipped
2180|harbor|west|frame|47|paid
2051|acme|east|panel|52|pending
1544|fulton|south|sensor|10|held
2496|harbor|east|frame|48|paid
1477|fulton|south|panel|26|held
2618|birch|west|pump|88|shipped
2586|ember|north|rotor|14|shipped
2555|harbor|east|gasket|12|paid
2154|fulton|south|gasket|31|held
2501|birch|north|frame|75|held
2492|gale|east|cable|45|pending
2317|harbor|west|gasket|95|shipped
2118|dorian|south|cable|16|paid
2592|fulton|east|sensor|52|held
2545|juno|west|sensor|38|paid
2043|ionic|south|panel|23|paid
1824|birch|west|frame|39|pending
2207|cobalt|south|sensor|45|paid
1899|fulton|south|panel|55|paid
2441|birch|north|rotor|46|shipped
1618|cobalt|south|frame|93|pending
1879|ionic|east|gasket|44|shipped
1849|acme|west|gasket|92|pending
2144|juno|east|frame|24|held
1697|gale|south|cable|83|held
1424|ember|west|sensor|31|pending
2054|gale|north|rotor|66|paid
2139|ember|south|frame|14|paid
1592|birch|east|pump|15|shipped
2298|acme|south|panel|26|shipped
2076|dorian|west|cable|79|paid
1521|juno|east|frame|89|paid
1669|dorian|south|cable|47|paid
2542|juno|south|rotor|87|shipped
2243|fulton|east|gasket|21|paid
2107|acme|south|valve|31|shipped
2173|ember|north|panel|26|pending
2318|harbor|south|frame|37|held
2343|harbor|north|pump|12|held
2140|harbor|east|gasket|69|paid
2522|ionic|east|rotor|22|pending
2039|acme|north|panel|74|held
1531|gale|north|pump|93|paid
1489|birch|south|pump|70|shipped
1733|gale|west|cable|11|paid
1917|cobalt|west|pump|67|held
1604|cobalt|north|rotor|59|shipped
1736|juno|south|sensor|84|held
2116|ember|north|frame|37|held
1789|juno|south|valve|11|shipped
1418|ember|west|cable|13|shipped
2356|fulton|west|rotor|91|shipped
1939|ionic|north|cable|94|pending
1838|ember|west|pump|63|held
2031|juno|east|pump|17|pending
2198|juno|north|sensor|33|pending
1854|birch|south|pump|60|held
2565|cobalt|west|frame|53|pending
1842|harbor|north|pump|10|held
1584|birch|east|frame|88|held
2132|gale|west|sensor|27|paid
2274|gale|south|frame|27|shipped
1796|juno|north|panel|41|held
2336|harbor|east|cable|46|shipped
2350|ionic|east|panel|27|paid
2176|juno|north|gasket|31|paid
1925|dorian|north|panel|43|paid
1723|gale|east|sensor|27|paid
1930|juno|west|frame|68|held
2505|harbor|east|valve|95|paid
1638|acme|west|gasket|97|pending
1924|acme|south|frame|59|held
1976|fulton|east|sensor|98|pending
2096|acme|east|cable|93|pending
2310|gale|west|frame|34|shipped
2212|dorian|west|sensor|98|pending
1498|fulton|south|gasket|64|paid
2070|acme|south|frame|96|paid
1977|dorian|north|cable|98|held
2459|dorian|west|valve|30|held
1482|ionic|east|sensor|77|held
2351|juno|west|cable|52|shipped
1451|acme|west|pump|86|shipped
2286|ember|south|panel|32|shipped
2391|harbor|east|panel|72|shipped
2372|fulton|east|sensor|81|shipped
1783|birch|north|sensor|76|shipped
1576|gale|south|gasket|39|pending
1730|cobalt|south|cable|26|held
2079|fulton|north|gasket|27|pending
2000|ember|south|panel|12|shipped
1743|harbor|south|frame|20|held
2339|ember|east|valve|63|shipped
2092|acme|east|sensor|47|pending
1863|cobalt|west|pump|25|held
2353|dorian|west|sensor|91|held
2585|juno|west|cable|44|held
1914|harbor|south|gasket|30|pending
2296|gale|east|sensor|72|held
2599|fulton|north|rotor|82|shipped
2200|acme|north|gasket|54|paid
1556|acme|east|gasket|66|held
1470|acme|north|frame|37|shipped
2013|juno|south|gasket|21|paid
2219|birch|north|gasket|34|paid
1430|ember|east|valve|72|pending
1463|ember|north|sensor|58|paid
2535|ionic|north|panel|85|pending
1671|gale|west|cable|92|paid
2279|ember|north|panel|90|shipped
1945|dorian|east|pump|40|shipped
2571|birch|north|frame|30|shipped
2272|ember|west|pump|67|shipped
2262|birch|south|rotor|98|paid
1642|gale|south|frame|51|shipped
2115|harbor|east|panel|57|held
1969|acme|west|pump|69|pending
2508|ember|south|pump|75|held
2299|ionic|east|frame|18|held
1507|ember|south|panel|13|paid
1680|gale|east|sensor|26|shipped
2434|ionic|south|frame|11|shipped
1746|dorian|south|valve|89|held
2345|fulton|south|cable|22|shipped
1413|ember|east|sensor|64|pending
2190|cobalt|north|cable|12|held
1577|ember|west|cable|15|pending
2367|harbor|east|rotor|36|held
1503|ionic|north|sensor|14|shipped
2209|ionic|west|cable|42|paid
1985|birch|north|sensor|37|shipped
1771|ionic|south|valve|19|pending
1875|ionic|south|rotor|14|paid
2379|gale|south|panel|92|pending
1684|ionic|east|cable|44|held
2386|acme|south|rotor|68|paid
2371|ionic|east|panel|12|paid
2603|cobalt|west|pump|65|pending
1785|harbor|west|pump|99|paid
2418|birch|west|valve|21|held
2081|dorian|west|pump|51|shipped
1764|cobalt|north|panel|60|shipped
1648|cobalt|east|frame|46|paid
1900|dorian|east|panel|81|held
2360|cobalt|north|panel|26|shipped
1907|juno|east|rotor|89|held
2450|birch|north|rotor|26|paid
2291|ember|north|cable|67|pending
1810|ember|east|gasket|77|pending
1871|fulton|south|panel|64|held
2448|cobalt|west|sensor|68|shipped
2402|dorian|south|rotor|49|shipped
1918|acme|north|sensor|98|held
2184|ember|south|rotor|18|held
1484|fulton|north|sensor|95|pending
1692|birch|north|sensor|90|shipped
1647|ionic|north|valve|39|held
2158|dorian|east|panel|28|held
1952|birch|south|cable|85|pending
2472|harbor|north|gasket|80|shipped
1611|ionic|north|cable|12|paid
2398|harbor|east|gasket|21|shipped
1744|ionic|south|pump|21|shipped
2222|fulton|south|gasket|13|held
1965|juno|north|rotor|15|pending
2525|ember|west|frame|44|shipped
1986|ember|west|sensor|90|paid
1439|ember|north|sensor|49|pending
2607|ionic|north|cable|40|shipped
1601|juno|south|gasket|78|shipped
2149|birch|south|cable|65|shipped
2517|ember|north|rotor|96|pending
2433|fulton|north|sensor|51|pending
1711|fulton|north|panel|53|shipped
1628|fulton|east|frame|22|paid
1499|juno|south|valve|55|held
1520|dorian|west|panel|54|shipped
1570|ionic|north|cable|36|pending
2238|acme|north|sensor|67|paid
2467|birch|west|pump|21|shipped
1832|acme|south|frame|60|pending
1817|fulton|north|rotor|69|shipped
2471|birch|north|panel|76|shipped
2170|ember|west|pump|55|shipped
1664|fulton|south|pump|53|shipped
1953|juno|north|panel|67|shipped
2484|gale|west|valve|57|paid
2215|birch|east|pump|21|pending
2427|juno|south|sensor|21|held
1923|ember|north|valve|99|paid
1763|harbor|south|frame|40|pending
1522|acme|east|frame|77|paid
2305|juno|west|pump|72|held
2561|gale|east|pump|13|shipped
2574|dorian|east|frame|14|held
1891|birch|east|gasket|69|paid
2197|juno|south|sensor|76|paid
2125|dorian|south|panel|74|shipped
2415|juno|west|rotor|25|pending
2088|birch|north|rotor|60|shipped
2261|cobalt|west|panel|81|shipped
2129|gale|north|sensor|51|paid
1565|harbor|north|valve|19|shipped
1828|harbor|south|pump|59|paid
2265|ionic|west|pump|19|paid
1866|acme|east|panel|49|held
2453|ionic|south|cable|54|pending
1740|ionic|north|gasket|52|pending
1675|birch|south|panel|13|pending
2103|cobalt|north|sensor|82|pending
1501|juno|west|valve|53|held
2392|fulton|north|sensor|78|pending
1716|fulton|north|frame|84|paid
2049|ember|south|sensor|93|held
2064|gale|south|sensor|46|paid
1595|cobalt|west|pump|54|pending
1513|cobalt|east|gasket|81|pending
1884|dorian|west|cable|89|paid
2309|juno|north|sensor|58|held
1561|acme|south|panel|68|shipped
1660|harbor|east|frame|11|shipped
1906|ionic|east|gasket|86|shipped
1408|ember|west|sensor|55|pending
2006|harbor|south|rotor|35|held
1932|ionic|west|panel|85|shipped
1494|gale|west|cable|16|held
1586|ember|east|pump|64|pending
2325|dorian|north|rotor|92|held
2165|juno|west|sensor|37|pending
2531|juno|south|rotor|66|paid
1633|ionic|west|rotor|91|held
2355|fulton|east|sensor|89|held
2232|ember|south|frame|25|pending
2420|cobalt|north|sensor|26|held
2255|ember|east|rotor|22|pending
2553|acme|south|frame|86|held
2625|juno|east|frame|56|shipped
1551|acme|east|pump|92|paid
2488|cobalt|west|valve|79|paid
2550|dorian|west|sensor|94|held
2057|ionic|east|panel|55|pending
1486|ember|west|cable|33|pending
2195|harbor|west|sensor|28|pending
2373|juno|south|rotor|27|shipped
1752|cobalt|south|frame|48|shipped
1456|dorian|west|valve|29|paid
1677|juno|east|frame|45|paid
2460|juno|west|sensor|47|paid
1893|dorian|south|sensor|82|shipped
2248|gale|west|rotor|54|shipped
2579|harbor|south|rotor|34|shipped
2228|juno|west|rotor|11|held
1538|gale|west|sensor|32|shipped
1877|fulton|east|sensor|55|held
1725|juno|west|frame|43|held
1793|cobalt|east|valve|42|pending
1479|birch|south|panel|15|shipped
1983|gale|east|rotor|51|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" 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:
[
{"tool": "restock", "args": {"item": "sensor", "qty": 55}},
{"tool": "cancel_order", "args": {"order_id": 1424}},
{"tool": "cancel_order", "args": {"order_id": 1434}},
{"tool": "cancel_order", "args": {"order_id": 1486}},
{"tool": "cancel_order", "args": {"order_id": 1577}},
{"tool": "restock", "args": {"item": "rotor", "qty": 52}},
{"tool": "cancel_order", "args": {"order_id": 2612}}
]correctagentic.tools.deploy-v1conf 100% · 519ms · $0.000 · 97 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
- auth-svc: billing, gateway
- search: auth-svc, 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 "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": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 426ms · $0.001 · 414 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: $641
- tango: $490
- alpha: $374
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $167 from "tango" to "echo"
2. pay $571 from "tango" to "alpha"
3. pay $229 from "echo" to "tango"
4. pay $352 from "echo" 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": "tango", "to": "echo", "amount": 167}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 248}},
{"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 571}},
{"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 229}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 352}}
]correctagentic.tools.triage-v1conf 100% · 456ms · $0.001 · 255 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- data → haddad
- payments → silva
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "export file corrupted" (category: data, priority 7)
3. "refund double-charged" (category: payments, priority 7)
4. "export file corrupted" (category: data, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.context-load-v1conf 100% · 694ms · $0.004 · 764 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (222 records, format: id|customer|region|item|qty|status):
```
2175|cobalt|east|frame|77|shipped
1923|fulton|north|frame|80|paid
1426|juno|south|valve|36|held
1533|harbor|east|valve|13|shipped
1786|gale|east|frame|35|held
1562|harbor|east|frame|18|paid
1586|gale|west|gasket|73|shipped
1489|birch|east|rotor|47|pending
2005|cobalt|west|pump|87|shipped
1776|juno|north|panel|82|pending
1483|harbor|north|panel|23|shipped
1959|acme|south|panel|80|shipped
2099|dorian|east|cable|67|shipped
1701|birch|north|sensor|79|shipped
1383|juno|north|cable|36|pending
2014|fulton|east|frame|36|pending
2051|dorian|south|sensor|63|shipped
1932|gale|west|gasket|73|shipped
1707|harbor|west|sensor|79|pending
1928|gale|west|panel|76|paid
1530|acme|west|panel|95|paid
1479|ember|east|sensor|75|paid
2019|acme|north|sensor|61|paid
1945|juno|north|sensor|82|shipped
2207|acme|south|panel|17|paid
1601|cobalt|north|frame|73|held
2054|acme|west|cable|18|shipped
2123|birch|north|panel|31|pending
2094|gale|west|sensor|67|held
2251|acme|west|valve|16|held
1766|birch|west|rotor|29|held
1723|dorian|west|frame|77|pending
1808|cobalt|south|rotor|89|pending
1771|acme|west|valve|76|pending
1780|birch|east|cable|58|pending
1591|birch|east|rotor|38|paid
2048|cobalt|south|rotor|53|paid
1471|ionic|north|sensor|66|paid
1868|ionic|south|gasket|90|pending
1828|cobalt|south|sensor|78|pending
1642|dorian|north|valve|43|held
1826|cobalt|east|cable|67|held
1534|juno|east|gasket|97|shipped
2155|harbor|south|sensor|93|paid
1762|birch|west|valve|63|pending
2150|harbor|south|valve|64|held
1971|birch|north|pump|11|paid
1730|acme|south|sensor|51|shipped
1838|birch|south|gasket|70|held
2222|cobalt|north|sensor|44|pending
1674|fulton|south|gasket|21|shipped
1687|harbor|south|gasket|19|paid
1735|ember|north|pump|88|shipped
1741|cobalt|south|valve|86|held
1956|birch|west|cable|25|paid
1846|cobalt|west|panel|59|shipped
1736|ember|east|rotor|63|pending
1523|birch|north|panel|91|shipped
2077|juno|south|sensor|15|pending
1789|gale|north|pump|84|shipped
2234|juno|west|valve|38|shipped
1763|harbor|south|sensor|95|held
1866|dorian|north|gasket|57|held
1512|cobalt|east|sensor|71|pending
2146|cobalt|north|frame|29|pending
1545|fulton|west|sensor|41|held
1794|birch|south|pump|76|paid
2081|harbor|north|sensor|10|paid
1429|cobalt|south|cable|58|held
1743|gale|north|panel|76|held
1612|birch|east|gasket|21|held
1706|ionic|west|sensor|99|paid
2137|ember|west|sensor|46|pending
1668|fulton|north|gasket|83|pending
1814|acme|north|rotor|43|held
2139|harbor|east|sensor|34|paid
1681|juno|west|sensor|60|held
2130|juno|west|pump|71|pending
1638|gale|south|gasket|60|pending
1597|gale|west|pump|22|pending
2210|fulton|south|rotor|71|held
1548|fulton|north|sensor|13|shipped
1651|birch|east|gasket|86|shipped
1751|dorian|east|gasket|35|shipped
1903|gale|west|cable|89|held
1497|fulton|west|panel|17|paid
1538|ember|north|sensor|93|pending
1859|cobalt|south|frame|59|shipped
2191|cobalt|south|panel|46|held
1816|dorian|south|valve|45|pending
1606|acme|west|rotor|73|shipped
2074|juno|east|gasket|37|shipped
1567|birch|east|rotor|87|held
2216|birch|east|rotor|15|pending
1713|ionic|north|rotor|94|held
1940|dorian|south|frame|53|pending
1850|cobalt|east|valve|84|pending
1759|birch|south|frame|15|shipped
1516|harbor|north|panel|86|pending
1517|gale|east|valve|76|pending
2068|gale|south|frame|88|shipped
2021|cobalt|south|rotor|39|held
2229|birch|east|frame|24|shipped
1411|juno|north|gasket|89|pending
1820|harbor|north|gasket|76|paid
1464|birch|west|frame|21|shipped
2196|birch|north|pump|40|shipped
1985|ember|west|gasket|30|pending
1692|gale|east|pump|10|shipped
1555|ember|west|cable|15|shipped
1966|fulton|east|gasket|60|pending
1988|fulton|east|rotor|63|held
2089|ember|north|frame|46|shipped
1413|juno|east|cable|11|paid
1712|gale|east|panel|42|held
1522|acme|south|panel|82|paid
1395|juno|west|panel|69|pending
1491|dorian|west|panel|16|paid
1755|ionic|east|cable|21|pending
1671|birch|west|gasket|56|pending
1400|juno|east|cable|51|held
1775|ember|west|frame|85|paid
1689|cobalt|south|panel|30|pending
1831|harbor|south|pump|56|paid
2160|ionic|east|rotor|23|paid
1618|ionic|east|rotor|72|shipped
1418|juno|north|valve|78|pending
1492|acme|west|cable|55|shipped
1631|harbor|east|valve|23|pending
1875|ionic|west|rotor|83|paid
1540|acme|east|frame|83|pending
1930|acme|east|cable|68|paid
2172|fulton|west|cable|87|paid
1914|harbor|east|valve|70|held
1377|juno|east|cable|41|pending
2202|birch|south|panel|31|pending
1433|ionic|west|panel|12|pending
1431|birch|south|sensor|93|held
2047|ember|east|cable|60|shipped
2031|gale|east|pump|58|held
1524|birch|west|frame|47|pending
1391|juno|east|sensor|47|pending
2027|acme|south|gasket|39|shipped
2042|birch|north|valve|52|held
2256|acme|north|rotor|68|pending
1640|fulton|east|rotor|56|held
2117|ember|west|sensor|53|shipped
2112|dorian|west|pump|62|paid
2034|cobalt|west|frame|55|shipped
1800|gale|south|valve|41|pending
2179|harbor|west|pump|70|held
1695|juno|south|pump|98|pending
2167|gale|east|sensor|45|pending
1440|birch|west|sensor|94|shipped
1936|gale|south|gasket|66|shipped
1837|gale|west|rotor|40|shipped
1921|fulton|south|panel|41|held
1915|ionic|south|rotor|31|paid
1742|ember|north|cable|28|pending
1799|harbor|south|gasket|96|shipped
1884|dorian|west|gasket|14|held
1891|cobalt|west|valve|91|pending
2250|gale|north|valve|60|pending
1573|dorian|east|pump|93|held
1733|gale|south|frame|62|pending
1507|juno|east|rotor|25|shipped
1484|juno|east|frame|35|held
1896|dorian|west|panel|41|paid
2012|cobalt|south|rotor|96|held
1976|acme|east|pump|84|paid
1465|harbor|south|rotor|99|pending
1626|gale|north|gasket|99|paid
2032|cobalt|south|rotor|84|paid
1949|acme|west|rotor|68|held
1416|juno|east|gasket|88|pending
1445|fulton|south|pump|92|shipped
1957|cobalt|west|cable|44|pending
1502|birch|south|frame|72|pending
1803|ember|west|gasket|12|shipped
1809|fulton|east|panel|45|held
1648|juno|east|valve|85|shipped
2116|ember|west|sensor|98|held
2061|harbor|south|cable|30|held
1565|gale|east|panel|54|held
1849|acme|west|gasket|41|held
2076|cobalt|east|panel|86|pending
2253|harbor|west|pump|54|paid
1406|juno|east|rotor|94|pending
2038|harbor|north|cable|44|shipped
2185|gale|south|gasket|65|shipped
2240|ionic|east|rotor|13|shipped
2085|ionic|west|gasket|52|paid
2103|ember|north|rotor|96|held
1661|acme|north|pump|85|paid
1844|birch|south|gasket|27|paid
1456|harbor|south|sensor|82|paid
2125|fulton|north|rotor|14|shipped
2110|acme|south|valve|94|paid
1929|gale|east|valve|13|shipped
1450|fulton|east|sensor|99|held
1980|ember|south|frame|81|held
1993|fulton|north|rotor|68|held
1451|acme|west|frame|13|held
1854|harbor|north|cable|86|held
1657|ionic|west|sensor|24|shipped
1552|cobalt|east|frame|98|shipped
1994|dorian|south|gasket|50|shipped
2120|birch|south|valve|80|shipped
2086|gale|north|panel|58|paid
1579|cobalt|west|valve|63|paid
1717|juno|east|gasket|24|pending
1385|juno|east|panel|70|shipped
1909|ionic|east|pump|71|pending
1745|dorian|east|panel|60|held
1459|gale|east|sensor|36|shipped
1619|harbor|north|sensor|28|held
1476|ember|east|frame|70|shipped
1765|birch|east|pump|57|held
1877|dorian|east|frame|68|shipped
1421|juno|east|sensor|67|held
2000|birch|west|pump|48|pending
2244|juno|west|gasket|30|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1377}},
{"tool": "restock", "args": {"item": "sensor", "qty": 47}},
{"tool": "restock", "args": {"item": "rotor", "qty": 94}},
{"tool": "restock", "args": {"item": "gasket", "qty": 88}},
{"tool": "cancel_order", "args": {"order_id": 1717}}
]correctagentic.tools.context-load-v1conf 100% · 1.9s · $0.010 · 3105 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 (176 records, format: id|customer|region|item|qty|status):
```
1537|acme|east|sensor|28|shipped
1336|cobalt|north|gasket|34|paid
1565|gale|north|frame|47|shipped
1760|juno|east|panel|34|paid
1496|dorian|north|cable|59|pending
1135|ember|south|pump|59|pending
1801|cobalt|south|rotor|20|paid
1702|juno|west|gasket|22|pending
1333|harbor|north|valve|97|paid
1323|gale|south|frame|60|shipped
1715|harbor|south|valve|65|pending
1679|birch|west|rotor|73|shipped
1789|harbor|east|rotor|14|paid
1219|juno|south|gasket|59|shipped
1607|birch|north|sensor|48|paid
1145|ember|south|cable|44|pending
1255|acme|north|gasket|77|pending
1399|acme|west|valve|24|paid
1241|fulton|south|rotor|71|held
1153|ember|north|panel|79|pending
1741|dorian|north|panel|52|paid
1621|acme|north|gasket|90|held
1651|birch|west|pump|23|shipped
1549|acme|south|gasket|29|pending
1822|dorian|north|rotor|90|shipped
1554|gale|north|rotor|19|shipped
1445|fulton|east|cable|60|pending
1786|fulton|east|panel|48|shipped
1248|acme|south|panel|81|held
1577|acme|south|pump|97|held
1771|ionic|east|panel|79|paid
1658|juno|east|sensor|56|shipped
1681|acme|south|cable|24|paid
1389|fulton|east|sensor|69|held
1273|gale|west|sensor|29|shipped
1491|birch|west|panel|47|paid
1598|fulton|south|gasket|17|held
1488|fulton|east|pump|88|pending
1815|harbor|north|pump|38|held
1643|gale|east|cable|55|paid
1767|gale|south|cable|72|paid
1503|harbor|south|gasket|94|held
1427|harbor|west|cable|13|shipped
1532|acme|south|rotor|45|pending
1259|juno|south|panel|95|shipped
1200|dorian|north|pump|85|shipped
1555|birch|north|cable|64|shipped
1684|ember|west|valve|42|shipped
1455|ember|north|frame|90|held
1442|harbor|south|frame|44|held
1798|acme|west|gasket|41|pending
1194|harbor|north|pump|84|shipped
1751|dorian|west|rotor|93|shipped
1478|ionic|east|frame|96|held
1816|harbor|west|frame|80|paid
1481|juno|east|pump|53|paid
1477|ember|north|rotor|85|held
1324|dorian|west|rotor|53|pending
1318|birch|west|sensor|32|paid
1687|dorian|west|cable|98|held
1166|ember|west|gasket|81|pending
1526|ember|south|rotor|37|held
1231|cobalt|east|cable|47|paid
1350|dorian|west|rotor|22|held
1809|fulton|north|valve|36|paid
1768|ionic|east|sensor|93|pending
1805|cobalt|west|cable|88|paid
1661|gale|south|valve|99|held
1408|cobalt|south|sensor|60|pending
1571|birch|south|panel|84|shipped
1156|ember|south|gasket|66|pending
1385|ember|east|sensor|67|paid
1212|dorian|west|panel|50|paid
1556|birch|north|valve|38|held
1612|acme|south|sensor|75|pending
1509|ionic|north|sensor|51|shipped
1277|gale|west|gasket|22|paid
1391|gale|south|sensor|58|shipped
1309|harbor|south|valve|53|paid
1173|ember|north|rotor|67|held
1300|fulton|east|panel|17|held
1471|acme|east|valve|64|shipped
1327|acme|east|gasket|23|held
1521|cobalt|north|frame|84|pending
1740|birch|west|valve|19|shipped
1343|ionic|north|cable|40|shipped
1175|ember|north|gasket|35|pending
1558|cobalt|west|valve|93|shipped
1522|fulton|east|gasket|36|paid
1697|harbor|west|panel|30|held
1841|fulton|west|valve|85|paid
1208|cobalt|east|cable|13|pending
1721|acme|south|valve|82|paid
1191|acme|south|pump|28|paid
1542|gale|east|frame|87|paid
1229|juno|west|valve|84|paid
1685|ember|east|rotor|38|held
1395|ember|west|rotor|62|paid
1487|acme|east|valve|74|pending
1402|juno|west|frame|27|paid
1610|ember|north|gasket|82|shipped
1264|juno|east|gasket|91|shipped
1663|acme|east|frame|84|shipped
1414|ionic|east|frame|80|shipped
1140|ember|north|sensor|82|pending
1778|ionic|north|gasket|66|paid
1295|cobalt|south|rotor|25|held
1602|harbor|west|cable|24|paid
1515|gale|south|gasket|48|pending
1375|gale|south|gasket|57|held
1429|ionic|east|valve|35|held
1205|ionic|west|frame|81|held
1448|ionic|south|frame|48|shipped
1835|dorian|west|panel|51|held
1713|harbor|north|sensor|61|pending
1266|acme|north|pump|63|pending
1464|harbor|east|panel|14|paid
1362|acme|east|cable|19|paid
1369|gale|north|pump|75|paid
1711|dorian|north|sensor|16|paid
1637|ember|east|cable|15|paid
1139|ember|north|sensor|19|shipped
1726|acme|north|gasket|14|held
1733|ember|south|pump|53|pending
1382|cobalt|west|sensor|81|pending
1285|juno|north|frame|23|paid
1282|fulton|west|sensor|34|shipped
1517|dorian|south|panel|94|paid
1311|birch|south|pump|11|paid
1132|ember|north|gasket|42|pending
1616|ember|east|rotor|30|held
1591|dorian|north|pump|15|shipped
1633|dorian|west|rotor|45|paid
1356|gale|south|cable|81|paid
1757|acme|south|sensor|53|pending
1828|cobalt|east|cable|85|held
1446|ember|north|valve|68|shipped
1707|juno|north|panel|94|held
1275|ember|west|valve|90|shipped
1237|ember|west|panel|54|pending
1292|fulton|north|valve|70|shipped
1823|acme|west|rotor|99|paid
1584|acme|west|cable|27|paid
1796|cobalt|south|panel|72|shipped
1302|dorian|east|pump|63|shipped
1692|harbor|east|sensor|76|paid
1289|birch|south|pump|87|shipped
1747|dorian|south|valve|20|shipped
1593|gale|east|panel|39|shipped
1623|ionic|west|rotor|91|shipped
1784|cobalt|east|gasket|22|pending
1462|cobalt|west|valve|56|shipped
1814|cobalt|east|frame|94|shipped
1644|ionic|south|gasket|94|held
1831|harbor|south|pump|30|held
1272|cobalt|east|sensor|68|shipped
1182|ember|south|rotor|55|pending
1674|acme|south|rotor|45|pending
1188|ember|north|pump|94|held
1575|fulton|north|gasket|16|paid
1833|juno|south|sensor|59|shipped
1257|dorian|west|frame|81|paid
1420|ember|south|sensor|91|paid
1401|birch|west|sensor|39|paid
1224|harbor|north|gasket|92|shipped
1502|juno|west|valve|72|shipped
1163|ember|north|frame|86|shipped
1589|acme|east|cable|25|paid
1435|juno|west|cable|21|paid
1670|birch|east|valve|12|held
1394|gale|west|frame|77|paid
1578|acme|east|panel|13|pending
1543|acme|south|panel|17|held
1164|ember|north|pump|36|pending
1629|harbor|south|sensor|35|paid
1148|ember|north|cable|49|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1132}},
{"tool": "restock", "args": {"item": "sensor", "qty": 82}},
{"tool": "restock", "args": {"item": "panel", "qty": 79}},
{"tool": "cancel_order", "args": {"order_id": 1164}},
{"tool": "cancel_order", "args": {"order_id": 1175}}
]correctagentic.tools.deploy-v1conf 100% · 449ms · $0.000 · 98 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- search: notifier, reports
- notifier: reports
- auth-svc: notifier, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]correctagentic.tools.triage-v1conf 100% · 10.0s · $0.001 · 251 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → novak
- data → haddad
- infra → okafor
INCIDENTS:
1. "cannot reset password" (category: auth, priority 4)
2. "records missing after import" (category: data, priority 5)
3. "API latency spikes" (category: infra, priority 8)
4. "cannot reset password" (category: auth, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.ledger-v1conf 100% · 1.6s · $0.009 · 3246 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $576
- kilo: $183
- oscar: $399
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $215 from "kilo" to "bravo"
2. pay $391 from "kilo" to "oscar"
3. pay $193 from "bravo" to "kilo"
4. pay $316 from "bravo" to "kilo"
5. pay $442 from "oscar" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 32}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 215}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 391}},
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 391}},
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 193}},
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 316}},
{"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 442}}
]correctagentic.tools.deploy-v1conf 100% · 1.5s · $0.005 · 1837 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: notifier
- notifier: gateway
- billing: gateway, notifier
- 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 "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1conf 100% · 4.0s · $0.012 · 4258 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → silva
- infra → haddad
- payments → chen
INCIDENTS:
1. "cannot reset password" (category: auth, priority 4)
2. "uploads failing intermittently" (category: infra, priority 3)
3. "invoice total wrong" (category: payments, priority 6)
4. "invoice total wrong" (category: payments, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]correctagentic.tools.context-load-v1conf 100% · 3.2s · $0.024 · 8143 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 (132 records, format: id|customer|region|item|qty|status):
```
1578|ember|west|sensor|45|pending
1451|birch|west|gasket|79|held
1376|acme|north|pump|38|paid
1373|birch|south|valve|65|pending
1434|ember|west|panel|94|held
1500|fulton|north|sensor|99|shipped
1519|fulton|north|frame|25|paid
1595|acme|west|sensor|68|pending
1282|fulton|north|rotor|51|shipped
1333|ember|north|cable|79|paid
1429|ember|east|valve|47|pending
1616|fulton|south|sensor|22|paid
1273|fulton|north|panel|94|pending
1629|gale|north|frame|10|shipped
1536|dorian|north|pump|94|pending
1752|dorian|north|rotor|93|pending
1732|dorian|north|gasket|13|shipped
1365|gale|west|frame|56|shipped
1551|acme|south|rotor|71|pending
1646|fulton|east|panel|94|held
1686|cobalt|west|gasket|55|held
1368|birch|east|frame|59|shipped
1675|dorian|west|panel|75|held
1470|juno|north|sensor|22|pending
1324|fulton|east|gasket|42|pending
1577|fulton|west|valve|19|pending
1298|fulton|north|valve|15|pending
1399|cobalt|east|valve|79|held
1302|fulton|north|gasket|97|paid
1639|acme|east|frame|70|shipped
1371|gale|west|valve|62|paid
1396|gale|east|sensor|61|held
1415|acme|east|pump|36|paid
1336|birch|south|valve|34|held
1557|acme|east|cable|58|pending
1694|acme|north|gasket|13|paid
1624|fulton|north|sensor|96|paid
1340|gale|east|valve|90|pending
1762|dorian|north|panel|76|paid
1289|fulton|north|pump|12|pending
1678|dorian|south|frame|50|shipped
1539|juno|east|frame|13|shipped
1730|ionic|south|pump|11|shipped
1293|fulton|north|frame|78|paid
1378|cobalt|south|rotor|30|shipped
1745|acme|north|pump|70|paid
1737|ember|east|gasket|72|shipped
1620|dorian|south|valve|84|pending
1636|fulton|east|panel|95|held
1291|fulton|south|cable|43|pending
1529|harbor|south|frame|42|pending
1457|harbor|west|panel|96|paid
1445|ember|east|frame|20|shipped
1315|fulton|south|rotor|44|pending
1390|cobalt|west|frame|55|pending
1744|harbor|east|sensor|53|held
1392|fulton|north|sensor|72|shipped
1308|fulton|north|panel|11|pending
1347|birch|north|cable|97|pending
1611|gale|west|sensor|48|pending
1496|dorian|east|cable|32|paid
1395|harbor|south|cable|22|paid
1351|birch|west|valve|25|paid
1600|birch|east|cable|37|pending
1525|ember|north|panel|63|paid
1447|cobalt|east|rotor|18|paid
1499|gale|north|valve|63|pending
1683|juno|south|pump|99|pending
1664|acme|north|gasket|30|pending
1651|gale|east|gasket|95|paid
1528|acme|west|panel|92|pending
1693|acme|west|cable|10|paid
1605|ember|east|panel|24|shipped
1326|cobalt|west|panel|67|held
1657|ember|west|valve|29|held
1266|fulton|north|pump|15|paid
1665|birch|north|gasket|53|paid
1275|fulton|south|frame|90|pending
1705|gale|south|gasket|93|shipped
1714|juno|south|frame|95|shipped
1544|birch|east|panel|61|paid
1673|fulton|east|sensor|21|held
1723|juno|west|gasket|52|held
1768|dorian|south|frame|45|shipped
1711|fulton|west|pump|60|held
1580|birch|north|rotor|31|pending
1361|juno|east|rotor|28|shipped
1262|fulton|east|pump|46|pending
1750|juno|west|gasket|24|pending
1574|ember|south|frame|83|held
1355|gale|west|cable|43|paid
1561|ember|west|valve|88|held
1507|dorian|south|gasket|15|shipped
1300|fulton|south|cable|65|pending
1480|acme|west|valve|52|pending
1569|harbor|east|cable|49|shipped
1527|ionic|north|valve|76|paid
1590|gale|east|valve|76|shipped
1482|acme|east|cable|41|pending
1439|birch|west|frame|61|paid
1570|fulton|south|cable|83|shipped
1449|ember|south|rotor|70|shipped
1563|gale|east|gasket|84|held
1772|acme|north|panel|59|shipped
1674|ionic|south|valve|59|pending
1585|cobalt|east|cable|10|paid
1412|juno|west|frame|68|pending
1426|ember|east|frame|18|paid
1422|juno|south|cable|15|pending
1721|harbor|west|sensor|82|shipped
1479|gale|east|sensor|31|paid
1255|fulton|north|panel|79|pending
1464|fulton|east|frame|74|paid
1448|fulton|east|rotor|59|paid
1700|ionic|west|panel|39|paid
1663|acme|north|frame|72|shipped
1489|cobalt|east|rotor|82|paid
1473|fulton|north|valve|99|pending
1672|gale|west|gasket|82|shipped
1778|dorian|east|panel|30|shipped
1572|gale|north|gasket|39|paid
1322|fulton|north|pump|76|held
1514|gale|south|frame|93|shipped
1757|juno|east|pump|21|paid
1485|harbor|east|frame|39|pending
1671|harbor|west|pump|20|held
1774|ionic|north|panel|14|paid
1406|cobalt|east|frame|72|held
1383|birch|east|panel|87|pending
1717|acme|east|valve|59|shipped
1756|ionic|south|gasket|83|held
1469|juno|south|cable|29|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "panel", "qty": 79}},
{"tool": "restock", "args": {"item": "panel", "qty": 94}},
{"tool": "cancel_order", "args": {"order_id": 1289}},
{"tool": "cancel_order", "args": {"order_id": 1298}},
{"tool": "cancel_order", "args": {"order_id": 1308}},
{"tool": "restock", "args": {"item": "valve", "qty": 99}}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1anchorconf — · — · — · — tok
model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 2.9s · $0.006 · 2002 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc
- gateway: billing
- auth-svc: (none)
- reports: auth-svc, gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1conf 100% · 1.5s · $0.009 · 2974 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 → haddad
- auth → rivera
- payments → novak
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "SSO loop on login" (category: auth, priority 4)
3. "dashboard shows stale numbers" (category: data, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.ledger-v1conf 100% · 429ms · $0.002 · 484 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $407
- echo: $174
- delta: $121
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $176 from "echo" to "kilo"
2. pay $430 from "echo" to "delta"
3. pay $357 from "kilo" to "delta"
4. pay $442 from "echo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 2}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 176}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 430}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 430}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 357}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 442}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 442}}
]correctagentic.tools.deploy-v1anchorconf 100% · 524ms · $0.005 · 1520 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1anchorconf 100% · 1.3s · $0.006 · 2063 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]correctagentic.tools.triage-v1anchorconf 100% · 509ms · $0.001 · 252 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]code 28/30 correct
TimeoutError: The operation was aborted due to timeoutcode.trace.nested-v1conf — · — · — · — 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:
(none extracted)correctcode.trace.python-v1conf 100% · 1.3s · $0.010 · 3402 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 4
while total + v <= 117:
if v % 7 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
116correctcode.trace.js-v1conf 100% · 787ms · $0.001 · 376 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 3) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
270correctcode.trace.nested-v1conf 100% · 430ms · $0.002 · 683 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
141TimeoutError: The operation was aborted due to timeoutcode.trace.nested-v1conf — · — · — · — tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctcode.trace.js-v1conf 100% · 1.2s · $0.003 · 1193 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12]; 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% · 3.1s · $0.010 · 3522 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
111correctcode.trace.python-v1conf 100% · 454ms · $0.001 · 297 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 14
while total + v <= 35:
if v % 4 != 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:
32correctcode.trace.js-v1conf 100% · 434ms · $0.001 · 374 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 6) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
396correctcode.trace.python-v1conf 100% · 1.3s · $0.003 · 1156 tok
question
What does this Python program print?
```python
total = 0
v = 6
while total + v <= 83:
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.python-v1conf 100% · 1.8s · $0.004 · 1376 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 43:
if v % 7 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
34correctcode.trace.js-v1conf 100% · 463ms · $0.001 · 462 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; const out = arr .map(n => n * 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:
1116correctcode.trace.nested-v1conf 100% · 643ms · $0.002 · 795 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
120correctcode.trace.js-v1conf 100% · 531ms · $0.001 · 436 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; const out = arr .map(n => n * 3) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
558correctcode.trace.nested-v1conf 100% · 1.2s · $0.013 · 4632 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) % 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:
146correctcode.trace.python-v1conf 100% · 1.5s · $0.007 · 2264 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 13
while total + v <= 96:
if v % 3 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
88correctcode.trace.js-v1conf 100% · 1.0s · $0.001 · 450 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 * 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:
540correctcode.trace.js-v1conf 100% · 1.6s · $0.005 · 1703 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; 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:
378correctcode.trace.python-v1conf 100% · 436ms · $0.002 · 717 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 1
while total + v <= 100:
if v % 7 != 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:
89correctcode.trace.nested-v1conf 100% · 1.1s · $0.013 · 4358 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) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
230correctcode.trace.python-v1conf 100% · 1.2s · $0.013 · 4403 tok
question
What does this Python program print?
```python
total = 0
v = 1
while total + v <= 114:
if v % 6 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
106correctcode.trace.nested-v1conf 100% · 1.1s · $0.021 · 7483 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
327correctcode.trace.js-v1conf 100% · 169ms · $0.003 · 1092 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 7) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210correctcode.trace.python-v1conf 100% · 3.6s · $0.013 · 4418 tok
question
What does this Python program print?
```python
total = 0
v = 1
while total + v <= 107:
if v % 4 != 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:
100correctcode.trace.nested-v1anchorconf 100% · 3.4s · $0.017 · 5916 tok
model answer:
283correctcode.trace.nested-v1conf 100% · 1.4s · $0.014 · 4907 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
260correctcode.trace.js-v1conf 100% · 1.0s · $0.006 · 1937 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
360correctcode.trace.python-v1anchorconf 100% · 2.0s · $0.004 · 1417 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 518ms · $0.001 · 254 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 637ms · $0.001 · 300 tok
model answer:
40instruction following 28/30 correct
correctif.format.repeat-v1conf 100% · 10.0s · $0.004 · 1316 tok
question
Write the word "nova" in lowercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova/nova/nova/novacorrectif.format.repeat-v1conf 100% · 185ms · $0.006 · 2124 tok
question
Write the word "falcon" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon_falcon_falcon_falcon_falcon_falcon_falconcorrectif.constraints.stack-v1conf 95% · 470ms · $0.000 · 84 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "falcon" and the last word must be "ember". 3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon wings cut through nova light, frost clings to windows, breath rises like smoke, coffee steams, silence holds, then nova breaks, warmth stirs, embercorrectif.format.acronym-v1conf 100% · 439ms · $0.000 · 132 tok
question
Take the third letter of each of these words, in order: echo, comet, ember, quartz, lumen, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HMBAMIcorrectif.constraints.stack-v1conf 100% · 2.6s · $0.010 · 3447 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "basalt" and the last word must be "comet". 3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
basalt streets gleam under quartz lamps while quartz towers frame the bright silver cometcorrectif.format.acronym-v1conf 100% · 125ms · $0.002 · 600 tok
question
Take the third letter of each of these words, in order: echo, quartz, flint, drift, falcon, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HAIILMcorrectif.constraints.stack-v1conf 100% · 4.2s · $0.016 · 5759 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "comet" and the last word must be "zephyr". 3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet shaped old machine makes sparks with flint and flint dust in the warm dry autumn zephyrcorrectif.constraints.stack-v1conf 100% · 1.4s · $0.009 · 2954 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "tundra" and the last word must be "ember". 3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra streets glow under neon lights while cedar branches sway near cedar avenues leading toward a distant red burning embercorrectif.format.acronym-v1conf 100% · 165ms · $0.001 · 258 tok
question
Take the first letter of each of these words, in order: zephyr, prism, basalt, ember, comet, 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:
ZPBECQcorrectif.format.repeat-v1conf 100% · 416ms · $0.000 · 54 tok
question
Write the word "lumen" 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:
LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMENwrongif.constraints.stack-v1conf 95% · 563ms · $0.000 · 54 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "lumen" and the last word must be "cedar". 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:
lumen tundra waves crash on tundra shores, tundra mist rises, salt air, distant cedarcorrectif.format.repeat-v1conf 100% · 551ms · $0.005 · 1628 tok
question
Write the word "flint" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint_flint_flint_flintcorrectif.format.acronym-v1conf 100% · 692ms · $0.001 · 293 tok
question
Take the first letter of each of these words, in order: tundra, drift, quartz, nova. 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:
TDQNcorrectif.format.repeat-v1conf 100% · 454ms · $0.000 · 40 tok
question
Write the word "basalt" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
basalt_basalt_basalt_basalt_basalt_basalt_basaltcorrectif.constraints.stack-v1conf 100% · 420ms · $0.000 · 70 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 "flint" and the last word must be "drift". 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:
flint sparked our lumen path through endless nights, each lumen fading as miles stretched onward, until stars alone remained to guide our silent driftcorrectif.format.acronym-v1conf 100% · 665ms · $0.000 · 58 tok
question
Take the first letter of each of these words, in order: comet, cedar, echo, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CCETcorrectif.format.acronym-v1conf 100% · 1.1s · $0.000 · 119 tok
question
Take the third letter of each of these words, in order: lumen, tundra, drift, falcon, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MNILIcorrectif.format.repeat-v1conf 100% · 447ms · $0.000 · 43 tok
question
Write the word "prism" 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:
prism-prism-prism-prism-prism-prism-prism-prismcorrectif.format.acronym-v1conf 100% · 934ms · $0.001 · 446 tok
question
Take the second letter of each of these words, in order: lumen, comet, cedar, tundra, drift, 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:
UOEURAcorrectif.constraints.stack-v1conf 95% · 614ms · $0.000 · 57 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "drift" and the last word must be "prism". 3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift through neon streets where comet tails streak past glass towers, another comet falling, light shattered into prismcorrectif.constraints.stack-v1conf 100% · 1.9s · $0.007 · 2411 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "prism" and the last word must be "orbit". 3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism light fractures through frost each lumen cold and sharp lumen counts decrease as winter deepens lumen softly circles the slow orbitcorrectif.format.repeat-v1conf 100% · 444ms · $0.000 · 66 tok
question
Write the word "lumen" in capitalized form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMENcorrectif.format.acronym-v1conf 100% · 478ms · $0.000 · 114 tok
question
Take the second letter of each of these words, in order: nova, tundra, drift, echo, flint, 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:
OURCLMcorrectif.constraints.stack-v1conf 100% · 1.3s · $0.009 · 3100 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "cedar" and the last word must be "delta". 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 gears grind slowly while comet dust coats the ancient comet engine near the rusty comet marker called big deltacorrectif.format.repeat-v1conf 100% · 1.6s · $0.005 · 1628 tok
question
Write the word "echo" 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:
ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1anchorconf 100% · 1.2s · $0.007 · 2338 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1conf 100% · 918ms · $0.002 · 850 tok
question
Take the second letter of each of these words, in order: quartz, ember, falcon, echo, prism, 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:
UMACROcorrectif.format.repeat-v1anchorconf 100% · 440ms · $0.000 · 43 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOwrongif.constraints.stack-v1anchorconf 100% · 460ms · $0.000 · 73 tok
model answer:
drift through streets where lumen signs flicker, neon lumen casting shadows, each lumen a star fallen to earth, wandering souls in endless orbitcorrectif.format.acronym-v1anchorconf 100% · 475ms · $0.000 · 71 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 165ms · $0.004 · 1506 tok
question
Name the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 3.2s · $0.002 · 520 tok
question
What is the author of "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 669ms · $0.003 · 876 tok
question
Identify the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 364ms · $0.000 · 16 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 495ms · $0.000 · 15 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 573ms · $0.000 · 16 tok
question
Name the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 592ms · $0.000 · 16 tok
question
Name the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 459ms · $0.000 · 95 tok
question
What is 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% · 1.2s · $0.006 · 2100 tok
question
Name the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 359ms · $0.000 · 16 tok
question
Name the element whose symbol is W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 1.7s · $0.005 · 1743 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% · 119ms · $0.002 · 578 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.003 · 1172 tok
question
What is the chemical element with symbol K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 523ms · $0.000 · 25 tok
question
Name the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 381ms · $0.000 · 17 tok
question
Name the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 95% · 438ms · $0.000 · 21 tok
question
Identify 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% · 3.5s · $0.004 · 1423 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 381ms · $0.000 · 17 tok
question
What is 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% · 915ms · $0.001 · 199 tok
question
What is the chemical element with symbol K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 426ms · $0.000 · 24 tok
question
Name the writer of the novel "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 1.7s · $0.002 · 810 tok
question
What is the chemical element with symbol Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 473ms · $0.000 · 25 tok
question
Identify the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2anchorconf 100% · 689ms · $0.002 · 728 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 133 tok
question
Name the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 396ms · $0.000 · 17 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% · 588ms · $0.002 · 691 tok
question
What is 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% · 408ms · $0.000 · 16 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 1.2s · $0.004 · 1508 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 1.9s · $0.004 · 1376 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 1.7s · $0.000 · 155 tok
model answer:
Tungstenmath 29/30 correct
correctmath.percent.chain-v2conf 100% · 3.4s · $0.011 · 3727 tok
question
An inventory starts at 66000 units. The company was founded 121 kilometers from the port. In the first month the inventory grows by 23%. The warehouse was painted 77 years ago. The next month it shrinks by 28%, and the month after it grows by 24%. 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:
72477.50correctmath.percent.chain-v2conf 100% · 1.1s · $0.016 · 5726 tok
question
An inventory starts at 32000 units. Each pallet weighs about 14 grams more when wet. In the first month the inventory grows by 32%. Each pallet weighs about 88 grams more when wet. The next month it shrinks by 6%, and the month after it grows by 16%. 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:
46058.50correctmath.chained.pipeline-v1conf 100% · 3.2s · $0.002 · 706 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 67 × 88. Step 2: Q = P × 3 − 431. 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:
2158correctmath.counterfactual.base-v1conf 100% · 455ms · $0.002 · 513 tok
question
Work strictly in base 7. Multiply the base-7 numbers 146 and 106. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
16211correctmath.algebra.system-v2conf 100% · 1.4s · $0.006 · 1928 tok
question
Solve the system, then answer the derived question. 9x + 4y = 227 7x − 6y = -115 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:
-137correctmath.arith.chain-v2conf 100% · 476ms · $0.002 · 725 tok
question
Evaluate the expression below and give the result. (((39 × 76 − 940) × 4 + 1609) − 71 × 87) × 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:
17640correctmath.chained.pipeline-v1conf 100% · 472ms · $0.000 · 113 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 27 × 22. Step 2: Q = P × 7 − 490. 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:
462correctmath.counterfactual.base-v1conf 95% · 434ms · $0.002 · 585 tok
question
Work strictly in base 11. Multiply the base-11 numbers 45 and 4A. 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:
1A96correctmath.arith.chain-v2conf 100% · 123ms · $0.002 · 768 tok
question
Evaluate the expression below and give the result. (((38 × 36 − 413) × 9 + 4414) − 21 × 25) × 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:
24968correctmath.chained.pipeline-v1conf 100% · 1.4s · $0.006 · 2085 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 86 × 87. Step 2: Q = P × 4 − 213. 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:
5943correctmath.algebra.system-v2conf 100% · 1.4s · $0.002 · 852 tok
question
Solve the system, then answer the derived question. 6x + 7y = -2 9x − 9y = -198 What is the value of 2x − 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:
-84TimeoutError: The operation was aborted due to timeoutmath.counterfactual.base-v1conf — · — · — · — tok
question
Work strictly in base 13. Add the base-13 numbers B18 and AC7. 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:
(none extracted)correctmath.percent.chain-v2conf 100% · 1.3s · $0.010 · 3338 tok
question
An inventory starts at 94000 units. A rival firm shipped 51 unrelated parcels the same week. In the first month the inventory grows by 27%. The delivery van has a 176-liter fuel tank. The next month it shrinks by 28%, and the month after it grows by 44%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
123773.18correctmath.counterfactual.base-v1conf 100% · 442ms · $0.001 · 243 tok
question
Work strictly in base 9. Multiply the base-9 numbers 51 and 82. 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:
4602correctmath.algebra.system-v2conf 100% · 117ms · $0.001 · 307 tok
question
Solve the system, then answer the derived question. 2x + 4y = 40 8x − 9y = 35 What is the value of 4x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30correctmath.arith.chain-v2conf 100% · 1.4s · $0.007 · 2375 tok
question
Work out the exact value of this expression. (((44 × 27 − 544) × 7 + 2846) − 65 × 75) × 4 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9916correctmath.chained.pipeline-v1conf 100% · 3.0s · $0.005 · 1798 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 85 × 57. Step 2: Q = P × 9 − 637. 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:
14324correctmath.percent.chain-v2conf 95% · 438ms · $0.001 · 348 tok
question
An inventory starts at 83000 units. Each pallet weighs about 115 grams more when wet. In the first month the inventory grows by 37%. A rival firm shipped 28 unrelated parcels the same week. The next month it shrinks by 19%, and the month after it grows by 15%. 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:
105920.87correctmath.algebra.system-v2conf 100% · 464ms · $0.001 · 319 tok
question
Solve the system, then answer the derived question. 8x + 4y = -56 5x − 2y = -179 What is the value of 2x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-110correctmath.counterfactual.base-v1conf 100% · 1.3s · $0.003 · 1015 tok
question
Work strictly in base 8. Add the base-8 numbers 4617 and 1770. 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:
6607correctmath.arith.chain-v2conf 100% · 531ms · $0.001 · 357 tok
question
Compute the value of the following expression. (((57 × 68 − 289) × 8 + 5435) − 86 × 40) × 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:
153455correctmath.chained.pipeline-v1conf 100% · 438ms · $0.001 · 154 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 81 × 19. Step 2: Q = P × 7 − 504. 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:
1141correctmath.arith.chain-v2conf 100% · 106ms · $0.001 · 412 tok
question
Evaluate the expression below and give the result. (((54 × 25 − 705) × 3 + 8521) − 99 × 55) × 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:
30066correctmath.percent.chain-v2conf 100% · 610ms · $0.001 · 145 tok
question
An inventory starts at 42000 units. The company was founded 65 kilometers from the port. In the first month the inventory grows by 18%. Each pallet weighs about 81 grams more when wet. The next month it shrinks by 7%, 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:
66831.66correctmath.algebra.system-v2conf 100% · 702ms · $0.001 · 283 tok
question
Solve the system, then answer the derived question. 5x + 3y = 30 5x − 4y = 275 What is the value of 5x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
240correctmath.percent.chain-v2anchorconf 100% · 1.3s · $0.009 · 3200 tok
model answer:
61896.52correctmath.counterfactual.base-v1anchorconf 100% · 2.4s · $0.005 · 1778 tok
model answer:
11236correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.003 · 884 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 80 × 56. Step 2: Q = P × 3 − 193. 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:
2212correctmath.algebra.system-v2anchorconf 100% · 1.2s · $0.003 · 1176 tok
model answer:
87correctmath.arith.chain-v2anchorconf 100% · 920ms · $0.001 · 429 tok
model answer:
108153multilingual 29/30 correct
correctmultilingual.wordnum-v1conf 100% · 440ms · $0.001 · 456 tok
question
A number is written in French: « deux cent trente-huit ». Another is written in Spanish: « noventa y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
147correctmultilingual.numword-v2conf 100% · 160ms · $0.009 · 3014 tok
question
Compute 221 + 130, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent cinquante et uncorrectmultilingual.wordnum-v1conf 100% · 450ms · $0.000 · 136 tok
question
A number is written in French: « cent cinquante-sept ». Another is written in Spanish: « trescientos 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:
490correctmultilingual.numword-v2conf 100% · 746ms · $0.000 · 30 tok
question
Compute 362 + 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:
seiscientos noventa y ochocorrectmultilingual.wordnum-v1conf 100% · 954ms · $0.001 · 165 tok
question
A number is written in French: « huit cent vingt-cinq ». Another is written in Spanish: « ochocientos cuarenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1666correctmultilingual.numword-v2conf 100% · 431ms · $0.000 · 23 tok
question
Compute 406 + 330, 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:
sept cent trente-sixcorrectmultilingual.numword-v2conf 100% · 1.4s · $0.006 · 2096 tok
question
Compute 425 + 428, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos cincuenta y trescorrectmultilingual.wordnum-v1conf 100% · 1.0s · $0.001 · 437 tok
question
A number is written in French: « quatre cent soixante-sept ». Another is written in Spanish: « noventa 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:
566correctmultilingual.numword-v2conf 100% · 402ms · $0.000 · 21 tok
question
Compute 470 + 329, 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:
sept cent quatre-vingt-dix-neufcorrectmultilingual.numword-v2conf 100% · 1.0s · $0.005 · 1853 tok
question
Compute 491 + 63, 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 cincuenta y cuatrocorrectmultilingual.wordnum-v1conf 100% · 1.4s · $0.002 · 544 tok
question
A number is written in French: « sept cent deux ». Another is written in Spanish: « seiscientos treinta y ocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1340correctmultilingual.wordnum-v1conf 100% · 2.0s · $0.003 · 871 tok
question
A number is written in French: « cinq cent soixante-six ». Another is written in Spanish: « seiscientos treinta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-68correctmultilingual.numword-v2conf 100% · 982ms · $0.012 · 4272 tok
question
Compute 358 + 125, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quatre-vingt-troiscorrectmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 135 tok
question
A number is written in French: « cinq cent vingt-neuf ». Another is written in Spanish: « ochocientos quince ». 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:
-286correctmultilingual.numword-v2conf 100% · 1.3s · $0.005 · 1597 tok
question
Compute 401 + 209, 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 diezcorrectmultilingual.wordnum-v1conf 100% · 1.6s · $0.002 · 583 tok
question
A number is written in French: « soixante-huit ». Another is written in Spanish: « ochocientos veintiuno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-753correctmultilingual.wordnum-v1conf 100% · 430ms · $0.000 · 119 tok
question
A number is written in French: « cinq cent neuf ». Another is written in Spanish: « ochocientos ». 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:
-291correctmultilingual.numword-v2conf 100% · 1.6s · $0.003 · 1093 tok
question
Compute 53 + 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:
trescientos ochenta y nuevecorrectmultilingual.numword-v2conf 100% · 459ms · $0.000 · 26 tok
question
Compute 493 + 171, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent soixante-quatrecorrectmultilingual.wordnum-v1conf 100% · 546ms · $0.002 · 574 tok
question
A number is written in French: « neuf cent soixante-deux ». Another is written in Spanish: « novecientos noventa y dos ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1954correctmultilingual.wordnum-v1conf 100% · 1.7s · $0.002 · 641 tok
question
A number is written in French: « trois cent quatre-vingt-un ». Another is written in Spanish: « setecientos uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1082correctmultilingual.numword-v2conf 100% · 1.3s · $0.005 · 1594 tok
question
Compute 209 + 152, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos sesenta y unocorrectmultilingual.numword-v2anchorconf 100% · 976ms · $0.008 · 2886 tok
model answer:
seiscientos ochocorrectmultilingual.numword-v2conf 100% · 417ms · $0.000 · 20 tok
question
Compute 436 + 367, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos trescorrectmultilingual.wordnum-v1conf 100% · 10.3s · $0.000 · 128 tok
question
A number is written in French: « soixante-deux ». Another is written in Spanish: « doscientos ochenta y ocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-226correctmultilingual.numword-v2conf 100% · 1.2s · $0.005 · 1583 tok
question
Compute 434 + 83, 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 diecisietecorrectmultilingual.wordnum-v1conf 100% · 475ms · $0.001 · 166 tok
question
A number is written in French: « trois cent quarante-sept ». Another is written in Spanish: « setecientos treinta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-385correctmultilingual.wordnum-v1anchorconf 100% · 1.1s · $0.001 · 409 tok
model answer:
150correctmultilingual.wordnum-v1anchorconf 100% · 804ms · $0.001 · 151 tok
model answer:
762wrongmultilingual.numword-v2anchorconf 100% · 557ms · $0.000 · 33 tok
model answer:
quatre cent quatre-vingt-dix-neufreasoning 30/30 correct
correctreasoning.deduction.order-v2conf 100% · 118ms · $0.010 · 3529 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Dara. Sami is faster than Mona. Emil is faster than Sami. Goran is heavier than everyone here, but Goran is not being ranked. Sami is faster than Rosa. Tessa is faster than Sami. Tessa is faster than Emil. Emil is faster than Dara. Bruno is faster than Tessa. Dara is faster than Rosa. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.order-v2conf 100% · 1.0s · $0.008 · 2654 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Quinn. Mona is faster than Sami. Farah is faster than Tessa. Quinn is faster than Dara. Mona is faster than Quinn. Dara is faster than Hana. Priya is heavier than everyone here, but Priya is not being ranked. Tessa is faster than Dara. Quinn is faster than Tessa. Quinn is faster than Farah. 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:
Farahcorrectreasoning.deduction.position-v1conf 100% · 1.3s · $0.002 · 823 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 1 in the queue. Rosa is directly ahead of Alice. Kira is directly ahead of Rosa. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.order-v2conf 100% · 1.5s · $0.009 · 3037 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Jonas. Emil is faster than Goran. Chen is faster than Goran. Mona is heavier than everyone here, but Mona is not being ranked. Jonas is faster than Dara. Tessa is faster than Dara. Tessa is faster than Chen. Dara is faster than Goran. Emil is faster than Tessa. Ines is faster than Emil. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.position-v1conf 100% · 380ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Tessa. Goran is number 1 in the queue. Kira is directly ahead of Quinn. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 10.0s · $0.002 · 790 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 2 in the queue. Emil is directly ahead of Hana. Liam 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:
Hanacorrectreasoning.deduction.order-v2conf 100% · 126ms · $0.007 · 2595 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Priya. Priya is older than Rosa. Quinn is heavier than everyone here, but Quinn is not being ranked. Bruno is older than Emil. Tessa is older than Bruno. Nadir is older than Priya. Bruno is older than Ines. Tessa is older than Ines. Nadir is older than Tessa. Emil is older than Ines. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 475ms · $0.001 · 216 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Farah. Farah is number 2 in the queue. Hana is directly ahead of Goran. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.order-v2conf 100% · 458ms · $0.002 · 540 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Dara. Dara is faster than Kira. Emil is faster than Nadir. Nadir is faster than Goran. Dara is faster than Goran. Nadir is faster than Tessa. Liam is faster than Emil. Tessa is faster than Dara. Farah is taller than everyone here, but Farah is not being ranked. Goran is faster than Kira. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.position-v1conf 100% · 400ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Jonas. Priya is directly ahead of Liam. Liam 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 466ms · $0.002 · 519 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is taller than everyone here, but Jonas is not being ranked. Ines is older than Hana. Kira is older than Ines. Hana is older than Mona. Emil is older than Bruno. Farah is older than Kira. Kira is older than Bruno. Bruno is older than Ines. Farah is older than Hana. Kira is older than Emil. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 1.3s · $0.002 · 642 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Rosa. Emil is number 3 in the queue. Rosa is directly ahead of Emil. 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 1.5s · $0.008 · 2861 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Goran is faster than Farah. Hana is faster than Tessa. Goran is faster than Mona. Hana is faster than Farah. Nadir is faster than Rosa. Mona is faster than Hana. Alice is older than everyone here, but Alice is not being ranked. Tessa is faster than Farah. Nadir is faster than Goran. Rosa is faster 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 444ms · $0.000 · 149 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Tessa. Rosa is directly ahead of Quinn. Quinn is number 2 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 1.3s · $0.008 · 2864 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Jonas. Ola is faster than Chen. Hana is faster than Chen. Tessa is faster than Kira. Hana is faster than Ola. Kira is faster than Ines. Jonas is faster than Hana. Ines is faster than Chen. Ines is faster than Hana. Alice is taller than everyone here, but Alice is not being ranked. 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 1.4s · $0.004 · 1388 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Liam. Bruno is number 3 in the queue. Liam is directly ahead of Bruno. 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:
Samicorrectreasoning.deduction.order-v2conf 100% · 572ms · $0.007 · 2536 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Quinn is heavier than Alice. Goran is heavier than Liam. Dara is heavier than Chen. Alice is heavier than Chen. Liam is heavier than Dara. Liam is heavier than Chen. Alice is heavier than Farah. Bruno is faster than everyone here, but Bruno is not being ranked. Goran is heavier than Dara. Farah is heavier than Goran. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Priya. Priya is number 3 in the queue. Kira is directly ahead of Ines. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.order-v2conf 100% · 1.2s · $0.008 · 2700 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is taller than everyone here, but Ines is not being ranked. Quinn is older than Rosa. Nadir is older than Priya. Priya is older than Bruno. Nadir is older than Bruno. Bruno is older than Dara. Rosa is older than Nadir. Dara is older than Sami. Bruno is older than Sami. Rosa is older than Dara. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.position-v1conf 100% · 874ms · $0.003 · 985 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 2 in the queue. Bruno is directly ahead of Ola. Tessa is directly ahead of Hana. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.order-v2conf 100% · 1.0s · $0.001 · 401 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Kira. Sami is older than Rosa. Jonas is older than Bruno. Rosa is older than Hana. Bruno is older than Hana. Liam is older than Kira. Ines is taller than everyone here, but Ines is not being ranked. Rosa is older than Jonas. Sami is older than Liam. Hana is older than Liam. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1conf 100% · 3.3s · $0.001 · 419 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 4 in the queue. Farah is directly ahead of Quinn. Hana is directly ahead of Emil. Emil is directly ahead of Farah. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 477ms · $0.000 · 138 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Priya. Nadir is number 3 in the queue. Priya is directly ahead of Nadir. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.order-v2conf 100% · 1.2s · $0.004 · 1260 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Goran. Jonas is faster than Goran. Mona is faster than Tessa. Jonas is faster than Mona. Goran is faster than Ines. Ines is faster than Rosa. Jonas is faster than Tessa. Ines is faster than Chen. Nadir is taller than everyone here, but Nadir is not being ranked. Rosa is faster 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:
Rosacorrectreasoning.deduction.position-v1conf 100% · 925ms · $0.001 · 343 tok
question
Four people stand in a queue (number 1 is the front). Kira is number 1 in the queue. Farah is directly ahead of Tessa. Tessa is directly ahead of Dara. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.order-v2anchorconf 100% · 952ms · $0.006 · 2229 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 988ms · $0.007 · 2482 tok
model answer:
Monacorrectreasoning.deduction.order-v2conf 100% · 442ms · $0.001 · 393 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Tessa is heavier than Hana. Bruno is heavier than Quinn. Sami is taller than everyone here, but Sami is not being ranked. Jonas is heavier than Tessa. Chen is heavier than Jonas. Chen is heavier than Tessa. Nadir is heavier than Chen. Hana is heavier than Quinn. Jonas is heavier than Bruno. Bruno is heavier than Tessa. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1anchorconf 100% · 440ms · $0.001 · 165 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 1.8s · $0.001 · 411 tok
model answer:
Farahterminal 25/30 correct
correctterminal.pipeline.predict-v1conf 100% · 519ms · $0.004 · 1411 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,sales,92,10
kim,legal,103,20
ned,legal,47,87
lou,ops,62,65
eli,sales,20,71
jon,sales,8,67
gus,ops,110,28
dev,eng,24,21
bo,eng,47,87
pam,legal,12,81
ana,sales,99,45
ivy,hr,97,25
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
219wrongterminal.exit.chain-v1conf 100% · 385ms · $0.000 · 21 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 true && echo A || echo B false && echo C || echo D true && 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
D
E
G
exit:0correctterminal.fs.tree-v1conf 95% · 437ms · $0.002 · 602 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`): ``` /proj/assets/index.txt /proj/assets/report.cfg /proj/build/notes.md /proj/main.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 cp assets/index.txt ./ mkdir -p assets/conf-4 touch src/draft-7.txt cd assets touch conf-4/report-3.cfg mv ../../proj/main.log ../../proj/draft-1.md cd ../../proj/build mkdir -p ../../proj/assets/conf-5 rm ../../proj/src/draft-7.txt rm ../../proj/assets/report.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/conf-4/report-3.cfg
/proj/assets/index.txt
/proj/build/notes.md
/proj/draft-1.md
/proj/index.txt
/proj/todo.txtcorrectterminal.pipeline.predict-v1conf 100% · 908ms · $0.008 · 2901 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,sales,79,61
jon,legal,13,90
ned,ops,34,14
hal,legal,70,11
bo,hr,59,71
eli,legal,64,41
lou,eng,21,41
ana,eng,61,42
fay,ops,61,94
dev,ops,98,13
ivy,legal,77,84
```
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:
224wrongterminal.pipeline.predict-v1conf 100% · 1.4s · $0.018 · 6320 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,ops,70,79
ana,hr,9,55
ned,eng,62,53
max,hr,5,63
gus,legal,61,80
bo,legal,30,92
pam,eng,9,64
eli,legal,43,74
hal,sales,33,18
dev,hr,25,29
fay,legal,54,67
lou,hr,45,34
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 76 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 374ms · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
H
exit:1correctterminal.fs.tree-v1conf 95% · 461ms · $0.002 · 607 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/src`, `/proj/conf`): ``` /proj/build/util.txt /proj/conf/setup.cfg /proj/main.txt /proj/notes.md /proj/src/index.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch build/report-2.cfg cd . mv main.txt ./ cp conf/setup.cfg build/ cd conf cp ../../proj/main.txt ../../proj/src/ cd . rm ../../proj/src/main.txt cd ../../proj/src cp index.md ../../proj/ cd ../../proj mkdir -p src/build-7 cd src ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/report-2.cfg
/proj/build/setup.cfg
/proj/build/util.txt
/proj/conf/setup.cfg
/proj/index.md
/proj/main.txt
/proj/notes.md
/proj/src/index.mdTimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf — · — · — · — tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`): ``` /proj/build/setup.log /proj/build/todo.log /proj/index.md /proj/notes.md /proj/src/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm src/util.md rm notes.md cp index.md assets/ cd . mkdir -p build/docs-5 cd src mv ../../proj/build/todo.log ../../proj/ cp ../../proj/index.md ./ cp ../../proj/todo.log ./ mkdir -p ../../proj/assets/build-7 cd ../../proj/assets ``` 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% · 1.1s · $0.000 · 19 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 ghost.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
exit:1correctterminal.fs.tree-v1conf 100% · 897ms · $0.001 · 457 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/src`, `/proj/build`): ``` /proj/docs/index.log /proj/docs/setup.md /proj/docs/util.md /proj/draft.md /proj/notes.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm draft.md cd . rm docs/util.md mkdir -p build/logs-1 touch report-2.md mkdir -p docs-4 rm docs/index.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/setup.md
/proj/notes.log
/proj/report-2.mdcorrectterminal.pipeline.predict-v1conf 100% · 335ms · $0.000 · 11 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
cy,hr,40,93
jon,sales,3,44
pam,legal,27,34
eli,legal,74,12
hal,sales,116,45
max,hr,105,62
bo,legal,35,90
ana,legal,5,57
ivy,eng,17,76
kim,ops,83,66
fay,hr,38,21
lou,eng,33,19
oli,eng,73,46
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' 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:
183wrongterminal.exit.chain-v1conf 100% · 436ms · $0.000 · 21 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 true && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F true && 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
E
G
exit:0correctterminal.fs.tree-v1conf 100% · 499ms · $0.002 · 701 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`): ``` /proj/assets/setup.log /proj/assets/todo.txt /proj/docs/draft.cfg /proj/main.md /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 main.md build/ rm assets/setup.log cp util.txt docs/ touch docs/util-2.txt touch docs/main-2.txt cd . touch draft-8.txt rm docs/util.txt rm docs/main-2.txt cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/todo.txt
/proj/build/main.md
/proj/docs/draft.cfg
/proj/docs/util-2.txt
/proj/draft-8.txt
/proj/main.md
/proj/util.txtcorrectterminal.exit.chain-v1conf 100% · 1.3s · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B true && echo C || echo D grep -q coral 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:0correctterminal.pipeline.predict-v1conf 100% · 1.6s · $0.007 · 2562 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
eli,sales,59,83
cy,legal,108,99
ana,ops,72,17
kim,eng,19,79
ivy,hr,78,28
gus,legal,94,59
lou,legal,32,91
max,eng,80,92
pam,hr,60,88
ned,legal,62,81
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
59correctterminal.exit.chain-v1conf 100% · 550ms · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
Z
exit:0correctterminal.fs.tree-v1conf 95% · 499ms · $0.002 · 584 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/docs`, `/proj/assets`): ``` /proj/docs/main.cfg /proj/docs/report.log /proj/index.md /proj/src/setup.cfg /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 assets/conf-4 rm index.md mv util.log assets/ mv assets/util.log assets/ mkdir -p docs/build-9 cd assets touch ../../proj/main-9.md cd ../../proj/docs mkdir -p build-7 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/util.log
/proj/docs/main.cfg
/proj/docs/report.log
/proj/main-9.md
/proj/src/setup.cfgwrongterminal.pipeline.predict-v1conf 100% · 485ms · $0.000 · 26 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,eng,42,70 oli,eng,32,77 gus,legal,80,43 hal,eng,59,19 ivy,eng,99,30 bo,eng,46,55 jon,eng,88,70 fay,eng,88,76 ana,eng,15,76 ``` 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,88,70
fay,eng,88,76correctterminal.fs.tree-v1conf 100% · 3.2s · $0.015 · 5095 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/logs`): ``` /proj/assets/setup.txt /proj/build/main.log /proj/draft.txt /proj/logs/index.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 logs/index.txt build/ cd build cp ../../proj/assets/setup.txt ./ mkdir -p ../../proj/assets-2 rm ../../proj/logs/index.txt mv main.log draft-5.md cd ../../proj/logs cp ../../proj/todo.txt ../../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/assets/setup.txt
/proj/build/draft-5.md
/proj/build/index.txt
/proj/build/setup.txt
/proj/build/todo.txt
/proj/draft.txt
/proj/todo.txtcorrectterminal.exit.chain-v1conf 100% · 713ms · $0.006 · 2109 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B test -f data.txt && echo C || echo D test -f ghost.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
exit:1correctterminal.fs.tree-v1conf 95% · 469ms · $0.003 · 1041 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/logs`): ``` /proj/index.log /proj/logs/setup.cfg /proj/notes.cfg /proj/src/draft.log /proj/src/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp logs/setup.cfg src/ cp logs/setup.cfg ./ cd src mv ../../proj/notes.cfg ../../proj/main-1.txt rm ../../proj/logs/setup.cfg cd . touch index-1.log touch ../../proj/util-6.md mkdir -p ../../proj/build-2 cd ../../proj mkdir -p build-2/docs-8 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/index.log
/proj/main-1.txt
/proj/setup.cfg
/proj/src/draft.log
/proj/src/index-1.log
/proj/src/setup.cfg
/proj/src/util.md
/proj/util-6.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.4s · $0.005 · 1550 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,sales,12,52
cy,legal,13,29
max,eng,98,12
gus,sales,56,14
eli,eng,8,79
oli,ops,88,78
lou,ops,41,98
ana,legal,14,84
jon,legal,112,69
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
106correctterminal.exit.chain-v1conf 100% · 582ms · $0.012 · 4122 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B false && echo C || echo D grep -q dune 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:
A
D
F
Z
exit:0correctterminal.fs.tree-v1conf 100% · 1.9s · $0.019 · 6540 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/docs`, `/proj/logs`): ``` /proj/docs/setup.cfg /proj/index.md /proj/logs/report.txt /proj/logs/util.log /proj/notes.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch logs/index-6.md touch build/todo-3.log cd build touch ../../proj/logs/draft-4.log mkdir -p ../../proj/logs-4 mv ../../proj/logs/index-6.md ../../proj/logs/draft-5.txt mv ../../proj/docs/setup.cfg ../../proj/docs/util-6.cfg mv ../../proj/logs/draft-4.log ../../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:
/proj/build/todo-3.log
/proj/docs/draft-4.log
/proj/docs/util-6.cfg
/proj/index.md
/proj/logs/draft-5.txt
/proj/logs/report.txt
/proj/logs/util.log
/proj/notes.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.0s · $0.008 · 2869 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ivy,hr,116,87 jon,ops,104,17 bo,hr,25,46 eli,sales,68,80 kim,hr,57,82 pam,ops,63,85 max,sales,31,56 cy,ops,76,28 gus,legal,36,10 oli,eng,96,12 ned,ops,38,94 lou,hr,85,72 fay,eng,3,76 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cy,ops,76,28
jon,ops,104,17correctterminal.exit.chain-v1conf 100% · 1.8s · $0.009 · 3129 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B true && echo C || echo D false && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 1.3s · $0.003 · 1166 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.fs.tree-v1anchorconf 100% · 897ms · $0.016 · 5511 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.exit.chain-v1anchorconf 100% · 1.8s · $0.008 · 2636 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 947ms · $0.008 · 2819 tok
model answer:
1vision ocr 27/30 correct
correctvision.ocr.code-hunt-v1conf 100% · 5.2s · $0.008 · 2700 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3VNFMMUcorrectvision.ocr.code-hunt-v1conf 100% · 2.1s · $0.002 · 518 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UJA39VYUcorrectvision.ocr.table-read-v1conf 100% · 903ms · $0.001 · 173 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
198correctvision.ocr.table-read-v1conf 100% · 2.6s · $0.001 · 209 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150correctvision.ocr.table-read-v1conf 100% · 2.3s · $0.002 · 362 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90wrongvision.ocr.code-hunt-v1conf 100% · 146ms · $0.001 · 232 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
YUXJHKDNwrongvision.ocr.code-hunt-v1conf 100% · 145ms · $0.001 · 334 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
YUXJHKDNcorrectvision.ocr.table-read-v1conf 100% · 2.6s · $0.001 · 321 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
68correctvision.ocr.table-read-v1conf 100% · 2.7s · $0.002 · 492 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
36correctvision.ocr.code-hunt-v1conf 95% · 9.5s · $0.005 · 1606 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VF3CVWCcorrectvision.ocr.code-hunt-v1conf 100% · 2.3s · $0.002 · 392 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
KD3JFWAcorrectvision.ocr.code-hunt-v1conf 98% · 2.4s · $0.005 · 1484 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
74W9HWcorrectvision.ocr.table-read-v1conf 100% · 2.0s · $0.002 · 455 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
113correctvision.ocr.table-read-v1conf 100% · 937ms · $0.001 · 119 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
46correctvision.ocr.table-read-v1conf 100% · 3.1s · $0.004 · 1243 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
42correctvision.ocr.code-hunt-v1conf 95% · 2.0s · $0.002 · 668 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UX3W7VDXcorrectvision.ocr.code-hunt-v1conf 100% · 2.6s · $0.001 · 280 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9JCH7Fcorrectvision.ocr.table-read-v1conf 100% · 2.1s · $0.001 · 216 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
70correctvision.ocr.code-hunt-v1conf 98% · 2.6s · $0.006 · 1977 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DJJWDPMcorrectvision.ocr.table-read-v1conf 100% · 2.4s · $0.002 · 417 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
61wrongvision.ocr.code-hunt-v1conf 95% · 2.1s · $0.003 · 925 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
XKKKNVFKcorrectvision.ocr.code-hunt-v1conf 100% · 1.0s · $0.001 · 22 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
YUXJHKDNcorrectvision.ocr.table-read-v1conf 100% · 895ms · $0.001 · 101 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
82correctvision.ocr.table-read-v1conf 100% · 2.7s · $0.001 · 240 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
93correctvision.ocr.code-hunt-v1conf 95% · 2.5s · $0.001 · 278 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
T9APDW7Ncorrectvision.ocr.table-read-v1conf 100% · 2.8s · $0.001 · 161 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
69correctvision.ocr.table-read-v1anchorconf 100% · 3.3s · $0.001 · 282 tok
model answer:
25correctvision.ocr.code-hunt-v1anchorconf 100% · 2.4s · $0.001 · 206 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 1.0s · $0.001 · 154 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 1.6s · $0.001 · 26 tok
model answer:
YH9E4AWPRun history
- 2026-08-05v0.2.0index_fit764
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- 2026-08-05v0.2.0index_fit770
- 2026-08-05v0.2.0index_fit770
- 2026-08-05v0.2.0index_fit770
- 2026-08-05v0.2.0index_fit770
- 2026-08-05v0.2.0index_fit768