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Meta: Llama 4 Maverick
meta-llama/llama-4-maverick · meta-llama · context 1 048 576 · in $0.200/1M · out $0.800/1M
Global Index
698
95% CI [651–745] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 549 [453–646] | 0.377 | 0.82 | 0.50 | 0.000 | 309ms | $0.682 | |
| code | 622 [494–750] | 0.614 | 0.88 | 0.87 | 0.154 | 290ms | $0.677 | |
| instruction following | 500 [395–604] | 0.387 | 0.82 | 0.67 | 0.096 | 310ms | $0.114 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 244ms | $0.026 | |
| math | 831 [674–989] | 0.723 | 0.98 | 1.00 | 0.000 | 315ms | $0.304 | |
| multilingual | 819 [654–983] | 0.698 | 1.00 | 1.00 | 0.000 | 270ms | $0.091 | |
| reasoning | 857 [715–999] | 0.762 | 1.00 | 1.00 | 0.000 | 243ms | $0.267 | |
| terminal | 629 [525–734] | 0.467 | 0.93 | 0.60 | 0.000 | 304ms | $0.354 | |
| vision ocr | 752 [581–923] | 0.587 | 1.00 | 1.00 | 0.000 | 456ms | $0.364 |
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 15/30 correct
wrongagentic.tools.ledger-v1conf 100% · 309ms · $0.001 · 990 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $447
- tango: $387
- bravo: $217
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $450 from "lima" to "tango"
2. pay $587 from "lima" to "tango"
3. pay $168 from "lima" to "tango"
4. pay $572 from "bravo" to "lima"
5. pay $344 from "bravo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
CONFIDENCE: 100correctagentic.tools.ledger-v1conf 100% · 3.3s · $0.001 · 1109 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $195
- lima: $809
- delta: $411
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $410 from "delta" to "alpha"
2. pay $229 from "alpha" to "delta"
3. pay $490 from "delta" to "lima"
4. pay $458 from "alpha" to "lima"
5. pay $377 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 410}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 229}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 260}},
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 490}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 82}},
{"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 458}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 377}},
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 377}}
]correctagentic.tools.triage-v1conf 100% · 296ms · $0.000 · 274 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 → chen
- payments → haddad
- auth → silva
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "card declined at checkout" (category: payments, priority 5)
3. "cannot reset password" (category: auth, priority 8)
4. "uploads failing intermittently" (category: infra, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1conf 100% · 102ms · $0.001 · 459 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):
```
1529|harbor|north|pump|90|shipped
1480|gale|east|valve|12|shipped
1772|harbor|south|frame|47|paid
1946|dorian|west|panel|72|shipped
2186|fulton|west|rotor|12|shipped
2459|ember|north|sensor|37|shipped
2344|birch|east|pump|74|paid
2365|birch|north|gasket|85|pending
2453|ionic|north|cable|49|paid
2093|cobalt|west|rotor|95|paid
1941|birch|north|cable|21|held
2278|ember|east|frame|93|shipped
2091|birch|east|rotor|39|pending
1539|ionic|west|rotor|25|paid
1976|dorian|north|pump|45|shipped
1680|ember|south|valve|17|held
2008|acme|north|frame|62|shipped
2337|ember|east|rotor|71|held
2194|fulton|west|frame|86|paid
1626|gale|west|frame|23|shipped
2155|fulton|east|gasket|14|pending
1835|cobalt|east|cable|61|held
2373|ionic|east|cable|77|held
2422|cobalt|south|cable|79|held
2427|gale|west|cable|92|held
2104|gale|east|cable|39|held
2108|dorian|north|panel|27|held
2392|fulton|north|pump|81|held
1684|gale|south|frame|90|paid
2258|juno|north|panel|84|pending
2288|dorian|north|sensor|90|held
1776|dorian|north|panel|52|shipped
2431|dorian|west|gasket|38|paid
2000|harbor|east|valve|59|shipped
1471|gale|east|frame|16|pending
1600|birch|east|rotor|51|pending
2099|ionic|west|rotor|75|paid
2084|harbor|south|panel|51|paid
1612|acme|west|sensor|95|shipped
1587|harbor|east|valve|24|pending
1556|fulton|south|gasket|71|pending
2390|gale|south|valve|24|held
1877|gale|north|pump|44|pending
2254|birch|north|frame|15|pending
1827|acme|east|panel|21|held
1928|gale|south|pump|61|shipped
2044|ionic|north|panel|22|pending
1625|dorian|east|cable|99|shipped
2218|cobalt|north|cable|91|shipped
1866|cobalt|north|frame|25|pending
1940|acme|west|frame|75|shipped
2398|fulton|east|rotor|43|pending
1761|birch|south|cable|44|pending
2409|birch|east|sensor|90|held
1482|gale|east|rotor|49|pending
1602|dorian|south|panel|61|pending
1459|gale|west|gasket|18|pending
1584|dorian|south|gasket|90|shipped
1666|ember|west|valve|85|shipped
2078|fulton|west|pump|59|shipped
1555|juno|east|valve|87|shipped
2162|ionic|east|panel|30|pending
1993|juno|east|frame|96|paid
2412|ember|east|panel|43|held
2130|fulton|north|pump|46|pending
1848|birch|north|rotor|22|pending
2088|fulton|east|sensor|18|shipped
2035|ember|north|pump|35|held
2359|cobalt|south|panel|65|shipped
1791|dorian|north|pump|39|held
2165|harbor|west|frame|94|held
1690|juno|east|panel|61|pending
2135|birch|south|gasket|55|paid
1636|juno|south|panel|74|shipped
1819|fulton|east|panel|15|pending
2118|acme|south|gasket|54|shipped
2351|ember|north|cable|99|shipped
1751|juno|east|gasket|56|held
1492|gale|east|cable|81|held
2017|gale|west|cable|36|shipped
2027|juno|south|cable|86|paid
2207|juno|west|pump|97|paid
1813|acme|east|gasket|83|shipped
2014|harbor|east|panel|82|shipped
1800|dorian|north|frame|12|held
1853|acme|west|gasket|40|shipped
1887|harbor|east|frame|52|shipped
2243|fulton|east|panel|24|shipped
1597|ionic|west|gasket|53|shipped
2209|harbor|west|frame|79|shipped
2379|acme|north|rotor|25|paid
2449|harbor|south|pump|63|held
1717|cobalt|south|pump|54|shipped
2361|ionic|east|valve|76|shipped
2283|birch|west|valve|78|pending
1779|dorian|west|panel|78|held
1673|dorian|south|panel|74|shipped
1922|gale|east|rotor|30|pending
1844|birch|west|gasket|67|pending
2131|gale|south|sensor|45|pending
2080|juno|south|valve|13|held
1826|harbor|east|frame|86|paid
2092|acme|east|gasket|52|held
2032|dorian|west|valve|29|shipped
1967|cobalt|west|sensor|74|shipped
1710|ionic|north|pump|69|pending
1755|juno|east|valve|10|held
1705|juno|west|pump|61|shipped
1770|dorian|south|rotor|90|paid
2196|fulton|east|valve|28|paid
1722|ionic|east|pump|19|shipped
1716|acme|north|valve|85|held
1842|dorian|north|panel|42|shipped
2249|gale|west|frame|50|paid
1873|fulton|east|sensor|47|pending
1985|dorian|east|gasket|54|pending
1542|fulton|north|pump|27|shipped
1728|birch|north|frame|37|pending
2354|ember|north|cable|79|held
1859|ionic|south|cable|27|shipped
2292|fulton|south|sensor|76|pending
2058|birch|north|rotor|60|held
1972|birch|south|valve|38|paid
1869|birch|south|panel|42|held
1582|fulton|east|rotor|37|held
1504|ionic|north|valve|39|shipped
1878|harbor|north|sensor|19|held
2305|dorian|north|gasket|78|paid
2445|juno|west|panel|76|held
2425|harbor|east|rotor|39|pending
1605|gale|south|panel|12|pending
1578|dorian|west|sensor|55|shipped
1641|juno|west|panel|83|paid
1894|juno|north|frame|74|pending
1450|gale|east|valve|58|held
1509|birch|north|rotor|68|shipped
1921|gale|north|pump|23|shipped
1663|ionic|north|gasket|59|held
1464|gale|east|rotor|93|shipped
1709|gale|north|cable|88|pending
2214|acme|west|valve|26|held
1656|juno|east|gasket|90|pending
2181|ionic|west|panel|48|paid
1788|dorian|east|frame|35|shipped
2274|cobalt|east|gasket|67|paid
1568|ember|east|valve|57|paid
1740|cobalt|south|sensor|64|pending
1965|acme|east|rotor|45|paid
1753|birch|west|cable|15|held
2350|acme|east|sensor|75|paid
1648|harbor|east|panel|59|held
2338|acme|west|pump|88|shipped
1987|ember|east|panel|71|shipped
1836|ember|north|panel|48|pending
2232|birch|south|valve|98|held
1980|ionic|east|gasket|12|paid
1920|ionic|north|pump|14|held
2208|ember|south|frame|75|pending
1981|dorian|east|sensor|84|held
2128|acme|north|sensor|29|shipped
1969|ionic|north|pump|79|paid
2042|gale|west|pump|45|held
2049|gale|west|sensor|69|shipped
1515|juno|north|rotor|73|held
2121|acme|west|rotor|50|paid
1707|birch|south|valve|56|pending
1951|fulton|west|valve|90|pending
1797|ionic|south|rotor|19|held
1733|ionic|east|valve|28|paid
2267|fulton|south|rotor|34|pending
1588|dorian|south|valve|30|paid
1912|dorian|west|rotor|81|paid
2435|gale|north|panel|80|shipped
2238|birch|north|cable|92|shipped
1917|harbor|north|panel|24|held
1809|juno|north|frame|57|pending
2113|cobalt|north|rotor|19|shipped
2367|fulton|west|panel|50|pending
1778|cobalt|south|valve|64|shipped
1890|gale|south|panel|68|pending
2316|cobalt|north|panel|93|paid
1925|juno|north|valve|48|shipped
1760|acme|west|gasket|23|pending
2141|juno|north|frame|85|held
1875|birch|west|pump|86|held
1701|dorian|north|sensor|35|held
1783|ember|north|sensor|49|held
1652|acme|south|frame|64|paid
1604|ember|south|cable|68|paid
1763|fulton|west|pump|39|paid
2053|juno|west|cable|91|paid
2332|dorian|north|valve|34|held
2085|harbor|west|cable|79|held
1446|gale|west|cable|50|pending
2265|gale|west|rotor|81|pending
1833|birch|north|panel|64|shipped
2176|fulton|west|rotor|41|pending
1548|harbor|east|pump|63|held
2011|acme|south|cable|64|held
1934|birch|east|pump|29|held
1872|dorian|south|rotor|93|shipped
1695|juno|south|frame|85|shipped
2421|cobalt|north|sensor|47|shipped
2407|birch|south|cable|12|shipped
1619|gale|west|sensor|45|shipped
1633|ionic|south|pump|22|paid
2384|birch|west|frame|49|pending
1838|juno|west|valve|23|pending
2067|dorian|east|cable|89|paid
1723|harbor|west|rotor|18|held
1806|harbor|north|frame|76|pending
1905|acme|east|pump|15|pending
1506|ionic|east|valve|61|held
2368|dorian|east|valve|20|paid
1493|dorian|south|pump|35|pending
1553|cobalt|north|valve|71|shipped
1699|fulton|east|rotor|18|held
2312|ionic|south|valve|51|shipped
1746|acme|west|valve|81|held
2424|ember|south|panel|91|shipped
1883|birch|east|frame|17|pending
1487|gale|south|frame|41|pending
1958|birch|east|rotor|33|shipped
2060|ember|north|pump|27|held
2273|acme|east|gasket|28|held
2439|cobalt|west|panel|39|pending
2299|ionic|east|frame|29|paid
2448|gale|north|cable|55|shipped
1678|dorian|west|valve|19|pending
1594|ember|north|sensor|50|pending
2148|gale|east|sensor|44|pending
1543|harbor|west|panel|36|pending
1929|fulton|east|gasket|45|held
2326|fulton|east|rotor|60|pending
2073|juno|east|sensor|44|shipped
1992|gale|south|pump|32|paid
2461|cobalt|east|valve|53|held
1454|gale|east|frame|81|pending
2193|juno|east|rotor|50|shipped
2031|cobalt|east|sensor|36|pending
2167|birch|east|pump|60|paid
1522|ember|east|rotor|42|held
2330|juno|west|frame|74|pending
1975|gale|north|panel|14|shipped
2169|cobalt|west|pump|97|paid
1444|gale|east|rotor|79|pending
1476|gale|north|frame|81|pending
1704|cobalt|north|valve|31|held
2136|ionic|east|pump|67|held
2466|birch|north|panel|46|paid
1498|acme|west|cable|87|held
2404|cobalt|south|valve|94|held
2319|dorian|west|sensor|49|shipped
1675|juno|west|rotor|89|paid
2223|acme|north|sensor|87|pending
2202|gale|west|pump|29|pending
2005|cobalt|west|frame|96|pending
2227|acme|south|valve|94|shipped
1562|fulton|west|rotor|10|shipped
1572|harbor|west|sensor|33|held
2034|birch|south|sensor|95|paid
2415|juno|north|rotor|69|held
2020|juno|north|rotor|36|paid
1900|gale|north|cable|58|held
1533|dorian|west|cable|61|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, 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": 1471}},
{"tool": "restock", "args": {"item": "rotor", "qty": 49}}
]wrongagentic.tools.deploy-v1conf 100% · 256ms · $0.000 · 443 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: gateway, reports
- reports: (none)
- billing: reports, search
- gateway: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
CONFIDENCE: 100correctagentic.tools.deploy-v1conf 100% · 288ms · $0.001 · 557 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: reports
- notifier: gateway
- billing: (none)
- reports: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]correctagentic.tools.triage-v1conf 100% · 150ms · $0.001 · 528 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 → chen
- payments → dubois
- data → novak
INCIDENTS:
1. "API latency spikes" (category: infra, priority 8)
2. "refund double-charged" (category: payments, priority 6)
3. "refund double-charged" (category: payments, priority 6)
4. "API latency spikes" (category: infra, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}}
]wrongagentic.tools.context-load-v1conf 100% · 116ms · $0.001 · 318 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 (210 records, format: id|customer|region|item|qty|status):
```
1531|acme|east|frame|73|pending
1846|dorian|north|rotor|56|paid
2096|ember|north|pump|87|held
1769|fulton|south|pump|90|pending
1994|dorian|south|frame|47|pending
1981|gale|south|sensor|27|pending
1654|dorian|north|cable|60|paid
1447|birch|south|frame|22|pending
2141|gale|east|panel|27|held
1407|birch|south|sensor|89|shipped
1721|fulton|west|frame|77|shipped
1509|gale|south|gasket|69|paid
1503|gale|north|gasket|12|pending
1641|fulton|north|rotor|23|paid
1962|ember|east|frame|41|paid
1824|birch|north|valve|58|pending
2093|dorian|south|gasket|27|held
2209|harbor|east|sensor|93|pending
1839|juno|south|pump|78|pending
1911|gale|west|valve|75|pending
1804|harbor|north|pump|38|held
1530|cobalt|east|pump|91|paid
2116|dorian|east|valve|34|shipped
2155|juno|south|valve|17|shipped
2109|dorian|north|sensor|90|held
1444|birch|south|gasket|41|paid
1671|birch|west|sensor|61|shipped
1489|dorian|east|rotor|98|pending
1705|juno|south|pump|70|held
2113|acme|west|pump|62|held
1786|fulton|east|pump|77|paid
2017|acme|north|sensor|20|held
2227|ionic|north|gasket|13|held
1677|ember|east|pump|29|held
2083|ionic|south|frame|72|pending
1665|ember|south|cable|44|shipped
2075|birch|south|panel|35|shipped
1448|birch|east|panel|20|pending
1567|acme|west|rotor|13|held
1941|acme|south|gasket|48|shipped
2213|ember|east|panel|10|paid
1634|birch|east|frame|88|shipped
2068|gale|north|valve|59|pending
2044|harbor|south|cable|49|held
1875|harbor|west|cable|29|shipped
2172|harbor|north|panel|58|paid
2168|ember|north|sensor|59|shipped
1424|birch|south|cable|97|paid
1613|dorian|west|gasket|24|shipped
2195|cobalt|north|cable|97|paid
2194|ionic|east|sensor|92|paid
1832|ionic|east|valve|52|pending
2157|cobalt|south|pump|85|paid
1713|gale|north|panel|97|held
1987|acme|north|rotor|95|held
1463|birch|south|rotor|54|shipped
1882|harbor|east|panel|89|shipped
1933|juno|west|valve|91|paid
1919|dorian|west|sensor|68|pending
1997|harbor|north|frame|63|shipped
1980|cobalt|north|panel|23|shipped
1710|dorian|south|sensor|15|pending
2003|fulton|east|frame|16|shipped
1541|cobalt|south|frame|45|paid
2187|fulton|south|gasket|96|shipped
1554|cobalt|east|gasket|19|held
1736|ember|west|panel|95|pending
2097|cobalt|south|sensor|23|pending
2048|acme|east|sensor|62|held
2061|juno|east|pump|97|pending
1561|harbor|west|cable|50|paid
2196|acme|south|cable|65|pending
1743|cobalt|east|panel|66|shipped
1620|dorian|north|sensor|50|shipped
1761|fulton|south|gasket|78|pending
1768|birch|north|gasket|20|shipped
1843|ionic|west|sensor|24|shipped
1811|gale|east|cable|34|paid
2171|acme|south|panel|34|pending
1548|ember|south|cable|76|pending
2009|harbor|east|pump|83|paid
2037|dorian|north|frame|16|paid
1642|acme|east|panel|41|pending
2124|cobalt|east|gasket|34|pending
2129|ionic|east|frame|61|paid
2089|harbor|north|cable|24|paid
1649|juno|south|cable|25|held
1730|harbor|west|frame|70|shipped
2128|ember|south|sensor|74|paid
1792|cobalt|west|valve|35|held
1449|birch|south|sensor|98|held
2190|cobalt|south|pump|42|held
2223|acme|east|frame|25|paid
1865|birch|west|frame|87|pending
1748|fulton|north|rotor|76|pending
1968|cobalt|north|gasket|11|held
1655|acme|north|frame|32|paid
1935|birch|east|pump|46|paid
2063|cobalt|north|panel|88|pending
1510|gale|west|valve|63|paid
1486|harbor|west|panel|38|shipped
1661|birch|north|frame|67|pending
1523|gale|west|pump|52|pending
1947|ember|west|pump|34|paid
1536|ember|east|panel|34|held
1595|fulton|east|panel|84|shipped
1549|gale|north|panel|97|paid
1638|harbor|east|frame|56|paid
2054|gale|east|valve|33|shipped
1575|acme|east|cable|55|pending
1589|juno|north|valve|23|held
1497|gale|south|sensor|84|held
2059|acme|east|frame|56|pending
2221|juno|east|rotor|25|pending
1560|juno|east|gasket|37|held
2162|dorian|east|sensor|79|pending
1751|gale|east|rotor|14|paid
1451|birch|south|pump|10|pending
2106|fulton|east|pump|81|pending
1777|ember|east|panel|12|shipped
1695|ember|west|valve|28|paid
2028|birch|east|gasket|98|paid
1526|acme|south|frame|30|paid
1969|ember|west|valve|27|shipped
1494|harbor|south|sensor|46|paid
1682|acme|north|rotor|88|held
1517|cobalt|north|cable|63|held
1582|birch|south|frame|29|held
1872|ionic|south|rotor|39|held
1709|gale|west|rotor|66|pending
1926|gale|north|rotor|57|held
1733|acme|east|frame|53|pending
1818|acme|east|sensor|63|paid
1963|ember|north|pump|45|paid
1893|cobalt|north|rotor|72|paid
1991|acme|south|valve|25|shipped
1900|birch|south|valve|28|pending
2079|juno|north|valve|13|held
1400|birch|north|gasket|93|pending
1397|birch|south|sensor|17|pending
2202|fulton|east|valve|11|pending
1569|birch|east|gasket|47|pending
1799|cobalt|west|frame|32|pending
1487|ionic|west|valve|78|shipped
1778|cobalt|south|pump|83|pending
1905|fulton|north|pump|31|held
1859|dorian|west|frame|18|pending
1781|cobalt|south|gasket|64|held
1892|dorian|south|rotor|43|shipped
2074|gale|north|gasket|60|shipped
2136|ionic|west|gasket|28|shipped
1650|ionic|south|sensor|10|held
2022|birch|south|gasket|99|shipped
2021|ember|west|valve|75|held
1953|ionic|north|valve|13|held
2010|ember|north|cable|17|held
1488|cobalt|north|rotor|97|shipped
1957|birch|south|rotor|38|held
1830|birch|east|frame|39|shipped
1916|ionic|east|pump|84|held
1437|birch|west|gasket|70|pending
1688|dorian|east|rotor|44|held
1774|dorian|south|gasket|39|paid
1431|birch|south|sensor|47|pending
2024|cobalt|west|frame|68|shipped
1728|acme|west|frame|71|paid
1470|juno|south|rotor|18|paid
1696|fulton|south|rotor|80|held
1514|fulton|south|pump|29|shipped
1693|harbor|west|pump|52|shipped
2218|birch|west|sensor|91|held
2200|juno|west|rotor|80|shipped
1542|ember|north|valve|51|held
1765|juno|east|pump|45|paid
1608|fulton|south|cable|44|paid
1605|fulton|north|frame|50|shipped
2177|dorian|west|panel|29|shipped
1565|gale|east|frame|30|shipped
2103|cobalt|west|sensor|98|pending
1876|fulton|east|panel|24|held
2184|juno|west|sensor|80|shipped
2149|ionic|west|panel|20|pending
1780|juno|east|gasket|87|held
2034|fulton|south|rotor|14|shipped
1976|dorian|west|pump|85|held
1971|ember|east|valve|94|shipped
1627|harbor|east|rotor|90|shipped
2119|juno|west|rotor|89|shipped
2147|fulton|north|gasket|56|shipped
2049|birch|west|pump|76|pending
1877|harbor|north|sensor|75|shipped
2120|ember|east|panel|47|shipped
1456|birch|west|cable|52|pending
2153|ionic|south|rotor|37|held
1841|ember|south|valve|78|shipped
1716|acme|west|pump|46|shipped
1477|acme|east|sensor|25|shipped
1600|gale|east|rotor|68|pending
1414|birch|south|panel|38|pending
1480|ionic|north|gasket|53|held
2032|dorian|east|rotor|95|held
1881|fulton|east|frame|17|held
1853|ember|north|panel|49|paid
1886|gale|east|gasket|52|paid
1699|fulton|west|cable|98|pending
1758|ember|north|sensor|19|paid
1417|birch|west|pump|89|pending
2181|acme|west|valve|11|pending
1585|ember|north|valve|38|shipped
1746|harbor|west|frame|94|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1397}},
{"tool": "cancel_order", "args": {"order_id": 1414}},
{"tool": "cancel_order", "args": {"order_id": 1431}},
{"tool": "cancel_order", "args": {"order_id": 1447}},
{"tool": "cancel_order", "args": {"order_id": 1451}},
{"tool": "restock", "args": {"item": "frame", "qty": 22}},
{"tool": "restock", "args": {"item": "sensor", "qty": 89}},
{"tool": "restock", "args": {"item": "sensor", "qty": 47}},
{"tool": "restock", "args": {"item": "pump", "qty": 10}},
{"tool": "restock", "args": {"item": "gasket", "qty": 99}},
{"tool": "restock", "args": {"item": "valve", "qty": 28}},
{"tool": "restock", "args": {"item": "rotor", "qty": 54}},
{"tool": "restock", "args": {"item": "rotor", "qty": 38}},
{"tool": "restock", "args": {"item": "frame", "qty": 29}}
]correctagentic.tools.ledger-v1conf 100% · 311ms · $0.001 · 870 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: $166
- alpha: $522
- kilo: $461
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $425 from "delta" to "alpha"
2. pay $247 from "kilo" to "delta"
3. pay $454 from "kilo" to "delta"
4. pay $309 from "alpha" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 259}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 425}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 247}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 240}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 454}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 309}}
]correctagentic.tools.ledger-v1conf 100% · 625ms · $0.001 · 886 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $677
- kilo: $504
- delta: $422
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $224 from "delta" to "kilo"
2. pay $260 from "delta" to "alpha"
3. pay $306 from "kilo" to "delta"
4. pay $468 from "delta" 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": "delta", "to": "kilo", "amount": 224}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 62}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 260}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 306}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 162}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 468}}
]wrongagentic.tools.triage-v1conf 100% · 350ms · $0.000 · 230 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
- payments → haddad
- data → okafor
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 7)
2. "invoice total wrong" (category: payments, priority 7)
3. "invoice total wrong" (category: payments, priority 7)
4. "cannot reset password" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.context-load-v1conf 100% · 347ms · $0.001 · 268 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 (215 records, format: id|customer|region|item|qty|status):
```
1543|harbor|north|panel|82|shipped
1549|gale|west|pump|69|held
1671|cobalt|west|frame|18|pending
1857|birch|south|rotor|15|pending
1724|dorian|south|frame|16|paid
1225|harbor|north|pump|84|pending
1966|gale|east|gasket|91|paid
1645|ember|south|sensor|95|held
1903|cobalt|south|valve|64|held
1963|dorian|east|sensor|17|paid
1924|juno|south|frame|20|shipped
1803|acme|west|valve|23|held
1649|acme|east|pump|92|paid
1227|harbor|west|sensor|22|pending
1390|fulton|north|valve|35|shipped
1678|fulton|east|valve|48|paid
1214|harbor|north|rotor|74|pending
1525|gale|west|panel|30|paid
1278|dorian|west|pump|89|held
1289|ionic|west|sensor|60|held
1996|juno|west|panel|41|held
1206|harbor|south|panel|33|pending
1908|cobalt|north|frame|73|shipped
1253|ember|east|sensor|73|paid
1235|harbor|north|cable|58|pending
1990|cobalt|south|gasket|62|pending
1727|ember|east|valve|57|shipped
1734|fulton|south|frame|18|held
1686|dorian|east|panel|51|paid
1205|harbor|north|rotor|70|pending
1779|acme|east|cable|70|held
1607|dorian|west|gasket|25|pending
1621|ionic|south|panel|64|paid
1747|birch|west|frame|58|paid
2006|harbor|north|gasket|46|pending
1723|gale|north|pump|80|paid
1306|birch|north|sensor|79|paid
1510|birch|north|pump|98|pending
1282|cobalt|east|sensor|32|shipped
1572|fulton|west|rotor|65|shipped
1731|birch|south|valve|34|paid
1697|fulton|west|frame|79|shipped
1373|dorian|north|pump|44|shipped
1220|harbor|east|pump|34|pending
1460|fulton|north|valve|99|paid
1928|harbor|north|panel|16|held
1867|juno|north|pump|60|paid
1291|acme|south|panel|81|paid
1796|dorian|west|rotor|68|pending
1571|ionic|east|frame|83|paid
1874|fulton|north|cable|59|paid
1815|ionic|east|cable|17|shipped
1262|dorian|east|pump|16|paid
1483|dorian|south|rotor|92|held
1672|harbor|north|valve|34|paid
2016|acme|south|panel|52|held
1494|ionic|east|gasket|37|pending
1599|juno|south|sensor|97|paid
1736|dorian|south|rotor|53|paid
1548|ionic|south|pump|87|shipped
1711|acme|west|frame|23|paid
1340|fulton|north|gasket|23|pending
1925|harbor|west|frame|34|shipped
1665|harbor|east|panel|99|shipped
1880|cobalt|east|sensor|76|held
1581|birch|east|frame|24|held
1505|acme|north|gasket|86|paid
1592|acme|west|gasket|75|held
1886|harbor|south|pump|24|pending
1959|ember|east|cable|88|held
1953|dorian|north|rotor|85|shipped
1635|juno|west|gasket|87|pending
1411|harbor|east|panel|43|shipped
1864|cobalt|east|rotor|85|pending
1577|ember|west|sensor|58|pending
1199|harbor|south|sensor|92|pending
1451|juno|east|valve|67|held
1401|ember|south|cable|62|pending
1644|juno|north|panel|92|held
1438|gale|east|panel|34|pending
1967|harbor|north|valve|23|paid
1477|juno|north|panel|61|held
1705|gale|south|gasket|59|shipped
1591|gale|north|frame|17|pending
1973|gale|south|panel|91|held
1687|gale|west|cable|78|paid
1829|harbor|south|sensor|72|paid
1712|ionic|north|cable|55|held
1822|dorian|west|gasket|13|pending
1739|ember|west|cable|77|paid
1784|fulton|west|gasket|34|shipped
1811|ember|east|gasket|80|held
1337|ember|north|cable|75|shipped
2020|ember|south|cable|58|held
1611|gale|north|gasket|86|shipped
1499|ionic|west|valve|32|held
1356|ionic|south|panel|93|pending
1986|acme|south|pump|29|paid
1371|ember|west|frame|91|paid
1838|cobalt|south|gasket|39|held
1300|fulton|east|rotor|78|shipped
1389|harbor|east|cable|53|shipped
1619|juno|north|gasket|30|shipped
1435|ionic|west|pump|46|pending
1521|dorian|east|sensor|58|shipped
1398|ember|north|sensor|15|pending
1375|juno|west|panel|62|pending
1804|acme|south|sensor|13|held
1946|ionic|north|cable|49|held
1533|juno|west|panel|13|shipped
1376|acme|north|pump|28|paid
1243|harbor|north|cable|63|shipped
1839|fulton|east|gasket|74|paid
1840|harbor|north|valve|89|held
1319|birch|north|panel|95|held
1563|ember|south|rotor|59|shipped
1942|ionic|west|sensor|62|paid
1833|acme|south|valve|34|held
1414|fulton|east|panel|81|pending
1567|ember|north|pump|74|held
1421|acme|south|rotor|99|shipped
1757|birch|east|valve|26|held
1655|gale|south|frame|50|pending
1465|dorian|north|rotor|16|paid
1777|gale|south|rotor|60|shipped
1556|acme|north|frame|39|pending
1772|juno|east|gasket|24|paid
1790|gale|north|gasket|21|held
1913|juno|south|frame|79|pending
1938|gale|west|pump|83|pending
1598|acme|west|frame|60|pending
1391|gale|north|frame|79|paid
1230|harbor|north|sensor|96|shipped
1349|ionic|south|valve|98|held
1345|juno|north|cable|91|pending
1933|fulton|south|sensor|68|shipped
1578|ember|south|pump|53|held
1896|fulton|north|gasket|23|shipped
1752|birch|north|pump|24|paid
1237|harbor|west|cable|68|pending
1526|ionic|north|panel|39|shipped
1273|ember|west|valve|57|shipped
1427|acme|east|panel|12|pending
1324|birch|north|gasket|69|shipped
1674|fulton|west|gasket|54|paid
1461|fulton|south|valve|18|held
1640|dorian|west|gasket|27|held
1701|ember|east|sensor|93|pending
2001|gale|north|panel|73|paid
1192|harbor|north|cable|14|pending
2023|cobalt|west|rotor|52|held
1367|acme|south|valve|48|held
2013|fulton|east|frame|84|shipped
1311|harbor|south|valve|17|held
1212|harbor|north|cable|23|shipped
1508|birch|west|sensor|19|paid
1383|fulton|south|valve|24|held
1628|birch|south|valve|58|pending
1681|cobalt|north|frame|20|shipped
1392|ionic|north|rotor|44|held
1917|ionic|east|cable|85|held
1486|dorian|west|frame|93|shipped
1222|harbor|north|gasket|92|shipped
1248|acme|south|rotor|83|pending
1865|ember|west|frame|28|shipped
1916|ember|north|pump|16|held
1430|juno|north|valve|81|held
1295|ionic|west|gasket|10|shipped
1794|birch|south|rotor|20|shipped
1449|harbor|west|valve|16|shipped
1710|acme|south|cable|96|pending
1512|juno|west|sensor|98|pending
1594|acme|south|rotor|89|shipped
1259|harbor|south|frame|60|shipped
1660|fulton|south|rotor|56|held
1513|ember|south|pump|70|shipped
1297|ember|north|pump|74|held
1600|gale|east|cable|78|pending
1407|cobalt|west|sensor|75|shipped
1762|dorian|east|panel|87|held
1847|dorian|north|valve|74|shipped
1743|birch|west|gasket|66|held
1596|gale|west|frame|28|paid
1719|birch|north|panel|43|held
1455|gale|east|cable|73|paid
1318|harbor|west|pump|94|pending
1267|ionic|north|valve|48|pending
2015|gale|west|sensor|89|pending
1584|fulton|east|frame|76|held
1983|acme|north|valve|62|pending
1443|birch|west|frame|12|pending
1201|harbor|north|sensor|53|paid
1491|cobalt|east|cable|83|paid
1939|acme|east|gasket|21|paid
1632|harbor|west|cable|91|paid
1322|juno|north|frame|99|shipped
1852|harbor|west|frame|49|paid
1468|acme|south|pump|14|pending
1331|harbor|west|valve|61|paid
1979|birch|west|cable|22|paid
1832|juno|north|panel|47|pending
1470|acme|south|gasket|39|pending
1631|juno|west|valve|33|held
1769|ionic|south|cable|48|pending
1362|cobalt|north|cable|13|shipped
1453|acme|west|rotor|59|shipped
1293|gale|east|cable|52|pending
1515|cobalt|east|cable|94|shipped
1890|gale|east|rotor|98|paid
1418|gale|south|valve|98|paid
1536|birch|west|pump|77|held
1690|acme|east|cable|27|paid
1825|dorian|south|cable|17|pending
2030|gale|east|sensor|49|shipped
1618|juno|south|gasket|16|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 53, 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": 1192}},
{"tool": "restock", "args": {"item": "cable", "qty": 58}},
{"tool": "restock", "args": {"item": "sensor", "qty": 96}},
{"tool": "restock", "args": {"item": "rotor", "qty": 70}},
{"tool": "restock", "args": {"item": "rotor", "qty": 74}},
{"tool": "restock", "args": {"item": "panel", "qty": 82}},
{"tool": "restock", "args": {"item": "pump", "qty": 84}},
{"tool": "restock", "args": {"item": "valve", "qty": 34}},
{"tool": "restock", "args": {"item": "gasket", "qty": 92}},
{"tool": "restock", "args": {"item": "valve", "qty": 23}},
{"tool": "restock", "args": {"item": "gasket", "qty": 46}}
]wrongagentic.tools.deploy-v1conf 100% · 207ms · $0.000 · 393 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: billing
- billing: (none)
- gateway: billing
- auth-svc: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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:
CONFIDENCE: 100correctagentic.tools.context-load-v1conf 100% · 441ms · $0.001 · 696 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 (283 records, format: id|customer|region|item|qty|status):
```
1505|acme|east|pump|18|pending
1705|fulton|north|cable|28|pending
2049|harbor|south|valve|22|held
2063|harbor|north|sensor|35|held
1598|gale|north|sensor|17|paid
1724|dorian|south|valve|31|held
1778|birch|north|frame|96|shipped
2157|ember|east|sensor|60|held
1567|acme|north|valve|99|held
1831|harbor|east|pump|16|shipped
1543|acme|west|frame|58|shipped
1850|birch|south|gasket|14|held
1788|ionic|north|pump|52|shipped
2256|acme|north|sensor|38|shipped
2134|ionic|north|valve|26|held
2364|ember|south|rotor|71|held
1753|acme|north|panel|87|shipped
1737|fulton|north|gasket|87|shipped
2330|acme|east|rotor|76|held
2237|cobalt|east|panel|53|shipped
1595|acme|west|frame|39|shipped
2172|cobalt|west|rotor|89|held
2463|fulton|south|pump|59|pending
1511|acme|west|cable|77|held
1522|dorian|west|cable|33|paid
2139|birch|east|gasket|90|paid
1735|ember|south|sensor|83|paid
2469|ionic|north|panel|53|held
1888|acme|south|panel|78|paid
1838|cobalt|south|panel|74|shipped
2045|dorian|west|rotor|17|pending
2501|cobalt|south|gasket|24|paid
2128|fulton|east|rotor|26|pending
2559|birch|south|sensor|42|shipped
1891|ember|south|rotor|88|pending
1533|dorian|north|gasket|53|shipped
2232|birch|south|frame|97|shipped
1584|harbor|south|panel|61|held
1704|cobalt|south|valve|48|paid
2293|fulton|west|gasket|52|held
1518|gale|west|gasket|28|pending
2298|gale|east|cable|82|shipped
2242|ember|south|gasket|30|paid
1860|fulton|west|pump|61|shipped
2279|gale|east|rotor|67|shipped
2189|gale|north|valve|69|shipped
2420|gale|north|valve|68|shipped
1904|gale|west|panel|44|paid
2250|birch|south|gasket|14|held
2088|gale|west|pump|47|pending
1746|ionic|east|rotor|94|shipped
2025|dorian|north|cable|29|held
2219|dorian|north|sensor|40|paid
2009|ember|north|valve|14|pending
1627|cobalt|west|frame|80|paid
2386|fulton|south|rotor|53|pending
1719|ember|south|sensor|73|pending
2261|dorian|east|pump|94|held
2147|ember|south|rotor|89|shipped
2102|gale|north|gasket|55|held
2162|acme|east|gasket|61|paid
1502|acme|west|valve|11|paid
2352|cobalt|east|cable|85|held
1571|ionic|west|frame|85|paid
2138|birch|west|sensor|70|held
1495|acme|west|gasket|48|pending
2477|juno|west|pump|91|held
2437|juno|north|valve|57|pending
1493|acme|north|panel|95|pending
1866|birch|south|rotor|85|paid
2051|birch|north|pump|92|paid
1616|cobalt|south|panel|90|held
2081|fulton|north|panel|28|held
2296|acme|south|cable|49|shipped
2503|cobalt|south|frame|58|shipped
1639|ionic|east|frame|78|shipped
2272|juno|west|valve|80|shipped
2194|juno|east|valve|82|paid
1726|dorian|west|sensor|71|held
1566|juno|east|panel|55|shipped
2434|fulton|west|valve|93|held
2419|juno|south|valve|75|pending
1966|birch|north|gasket|28|pending
2111|juno|west|sensor|74|paid
2282|ember|east|rotor|82|held
2429|gale|north|panel|34|held
2158|acme|north|gasket|32|pending
2520|fulton|west|rotor|80|held
1551|juno|south|panel|30|held
2449|fulton|east|gasket|65|pending
2057|birch|west|gasket|26|shipped
2103|gale|west|rotor|32|held
2462|ember|east|frame|82|shipped
1494|acme|west|panel|79|paid
2001|ember|east|sensor|91|held
2173|cobalt|east|cable|24|shipped
2289|ember|north|valve|45|pending
1871|dorian|north|valve|88|held
2482|gale|north|rotor|17|paid
1557|birch|south|valve|11|held
1528|ember|south|pump|72|shipped
2096|ember|west|valve|74|paid
1647|acme|west|panel|90|shipped
1602|cobalt|west|sensor|97|held
2415|fulton|east|pump|23|paid
1634|ember|north|panel|71|held
2116|cobalt|east|sensor|99|pending
1910|birch|north|cable|36|paid
2322|fulton|north|sensor|28|held
2225|acme|north|sensor|32|shipped
1484|acme|west|frame|11|paid
2006|ember|east|rotor|74|shipped
1937|acme|north|cable|81|paid
1712|acme|west|rotor|47|shipped
1824|juno|west|cable|73|pending
2412|harbor|north|rotor|85|held
2439|ionic|west|sensor|50|paid
1611|ionic|north|panel|26|shipped
2543|gale|east|gasket|99|shipped
1874|gale|west|pump|81|paid
1987|fulton|east|cable|63|pending
1817|acme|north|valve|58|shipped
2522|fulton|north|rotor|58|held
2032|fulton|south|valve|70|paid
2381|ionic|west|sensor|35|shipped
2370|ember|north|cable|17|pending
2347|cobalt|south|gasket|68|paid
2052|gale|south|gasket|69|paid
2502|birch|west|gasket|24|pending
1721|harbor|west|panel|38|pending
1677|fulton|west|valve|58|held
2566|ionic|east|valve|61|paid
1732|gale|south|valve|99|shipped
1530|ionic|north|gasket|88|shipped
2186|juno|west|gasket|38|pending
2397|fulton|north|panel|94|pending
1880|harbor|north|gasket|78|held
2280|fulton|west|pump|69|held
1885|acme|north|gasket|67|held
2407|juno|north|frame|68|held
1547|harbor|east|gasket|92|paid
1972|birch|west|frame|76|pending
2067|ionic|north|pump|11|shipped
1657|juno|west|panel|37|pending
1811|ember|south|valve|26|paid
1760|dorian|north|gasket|67|pending
1651|ember|west|pump|39|paid
2080|acme|east|rotor|18|paid
2320|ember|east|panel|52|pending
2491|ember|west|frame|74|pending
2510|acme|west|panel|35|shipped
2388|gale|west|pump|36|shipped
1504|acme|west|valve|80|pending
1958|acme|south|frame|63|shipped
2443|juno|west|rotor|78|shipped
1795|juno|east|frame|15|paid
1574|harbor|east|rotor|95|shipped
2537|juno|south|cable|13|held
1680|acme|south|valve|90|held
1798|birch|north|sensor|49|pending
2494|harbor|west|frame|55|pending
2326|ionic|west|pump|96|shipped
2513|gale|east|pump|89|held
2036|juno|west|frame|74|held
1756|ionic|north|gasket|60|shipped
1932|fulton|north|sensor|52|shipped
2360|dorian|east|valve|45|paid
2342|cobalt|east|pump|72|pending
2266|ember|north|cable|45|shipped
2212|harbor|west|gasket|12|paid
1766|cobalt|north|valve|57|held
2278|cobalt|north|sensor|58|pending
1942|ember|north|sensor|52|held
2042|ionic|east|panel|27|shipped
1691|ember|south|valve|23|pending
2357|ember|north|gasket|73|shipped
1489|acme|west|panel|46|pending
1700|fulton|west|rotor|12|held
1582|harbor|east|gasket|25|paid
1979|cobalt|west|pump|21|paid
1926|dorian|west|cable|42|paid
2021|ionic|north|frame|67|paid
1912|juno|east|frame|89|held
2093|fulton|south|pump|81|pending
1620|cobalt|west|gasket|68|pending
1560|dorian|north|cable|69|paid
1664|gale|east|rotor|35|pending
1583|birch|south|frame|31|shipped
2151|gale|north|rotor|90|held
2553|cobalt|west|rotor|38|shipped
1707|acme|east|gasket|66|paid
2368|cobalt|east|valve|96|shipped
1537|ionic|west|sensor|93|shipped
2445|harbor|west|rotor|87|paid
1981|juno|north|frame|88|held
2074|fulton|west|gasket|33|paid
2104|acme|east|gasket|32|shipped
2068|dorian|north|gasket|24|shipped
1857|ionic|south|valve|15|shipped
1948|cobalt|west|valve|85|pending
1589|ember|west|frame|28|paid
1607|acme|east|sensor|18|paid
2527|ionic|south|valve|75|shipped
1673|harbor|west|pump|18|held
1804|juno|west|sensor|34|shipped
2129|fulton|west|cable|79|pending
2367|birch|north|valve|17|paid
1740|fulton|south|panel|55|shipped
2337|gale|west|frame|33|paid
2534|acme|west|valve|44|paid
2514|ember|north|pump|76|shipped
1892|birch|west|rotor|92|shipped
2546|ember|west|gasket|60|pending
1990|ionic|south|panel|94|held
1873|acme|south|frame|82|paid
2214|ember|east|frame|26|paid
2082|harbor|east|pump|89|paid
1739|juno|west|rotor|93|shipped
1481|acme|north|gasket|11|pending
2185|dorian|east|panel|42|paid
1968|birch|east|gasket|68|held
2144|gale|east|sensor|68|shipped
1978|gale|south|frame|19|shipped
1500|acme|east|rotor|20|pending
1995|cobalt|north|frame|74|paid
2375|birch|north|cable|66|paid
1772|ionic|north|sensor|24|shipped
2404|acme|north|cable|30|paid
1944|juno|south|gasket|93|held
1558|cobalt|east|pump|46|paid
2132|juno|west|pump|76|held
1594|cobalt|south|rotor|22|paid
2396|ember|west|pump|10|held
2484|birch|south|cable|40|shipped
1924|dorian|west|gasket|38|pending
1832|fulton|east|pump|12|held
2470|ionic|south|gasket|84|paid
2207|fulton|east|panel|32|pending
1681|gale|north|frame|60|pending
1919|dorian|south|frame|41|pending
1686|cobalt|south|cable|80|pending
2303|gale|east|gasket|98|pending
2216|fulton|west|valve|17|shipped
1669|acme|north|frame|98|paid
2493|juno|south|pump|18|held
2355|acme|north|cable|27|shipped
2539|ionic|east|sensor|61|pending
1986|cobalt|north|valve|90|shipped
1559|cobalt|south|sensor|34|paid
1577|harbor|north|cable|90|paid
1477|acme|west|rotor|39|pending
1514|harbor|west|frame|75|shipped
2119|harbor|south|cable|63|shipped
2542|gale|east|frame|68|pending
1962|acme|west|panel|29|paid
2572|dorian|east|pump|87|shipped
1856|birch|east|frame|41|pending
2180|juno|south|panel|77|held
2489|gale|west|panel|36|pending
2310|cobalt|north|cable|19|shipped
2457|gale|east|pump|56|pending
2314|ember|west|valve|29|held
1698|birch|south|panel|13|shipped
1899|juno|north|cable|93|held
2426|dorian|west|gasket|83|held
1784|fulton|west|sensor|74|paid
1955|gale|west|pump|90|pending
2394|birch|east|panel|11|paid
1845|gale|west|rotor|84|pending
2199|acme|west|frame|34|shipped
2014|dorian|south|rotor|95|paid
1953|dorian|east|panel|80|paid
2453|gale|north|rotor|34|shipped
1787|ionic|north|frame|36|shipped
2247|ionic|east|gasket|79|held
2208|birch|north|frame|24|pending
2169|dorian|east|pump|43|paid
2286|ionic|north|frame|29|paid
1645|acme|north|rotor|99|pending
2124|dorian|north|gasket|35|held
2019|fulton|east|frame|54|pending
2544|fulton|north|valve|53|shipped
2206|juno|south|frame|33|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1477}},
{"tool": "cancel_order", "args": {"order_id": 1489}},
{"tool": "cancel_order", "args": {"order_id": 1495}},
{"tool": "restock", "args": {"item": "valve", "qty": 80}}
]correctagentic.tools.triage-v1conf 100% · 782ms · $0.000 · 199 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → haddad
- auth → tanaka
- infra → dubois
INCIDENTS:
1. "refund double-charged" (category: payments, priority 5)
2. "cannot reset password" (category: auth, priority 7)
3. "cannot reset password" (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": "refund double-charged", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]wrongagentic.tools.ledger-v1conf 100% · 281ms · $0.001 · 710 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: $735
- lima: $691
- delta: $480
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $258 from "bravo" to "delta"
2. pay $129 from "delta" to "bravo"
3. pay $573 from "bravo" to "delta"
4. pay $294 from "lima" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
CONFIDENCE: 100correctagentic.tools.ledger-v1conf 100% · 272ms · $0.001 · 1008 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $762
- delta: $505
- bravo: $558
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $434 from "delta" to "bravo"
2. pay $475 from "lima" to "bravo"
3. pay $257 from "lima" to "delta"
4. pay $295 from "lima" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 434}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 475}},
{"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 257}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 265}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 295}}
]correctagentic.tools.deploy-v1conf 100% · 120ms · $0.000 · 528 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: billing, gateway
- billing: (none)
- gateway: billing
- notifier: billing, gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.triage-v1conf 100% · 339ms · $0.000 · 236 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 → okafor
- payments → chen
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "dashboard shows stale numbers" (category: data, priority 7)
3. "refund double-charged" (category: payments, priority 5)
4. "dashboard shows stale numbers" (category: data, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1conf 100% · 1.0s · $0.000 · 413 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: gateway
- notifier: gateway
- gateway: billing
- billing: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.context-load-v1conf 100% · 495ms · $0.001 · 102 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 (284 records, format: id|customer|region|item|qty|status):
```
2409|acme|west|pump|79|held
1941|fulton|east|sensor|41|held
1817|fulton|north|rotor|40|pending
1980|gale|south|valve|72|paid
1470|fulton|west|cable|30|paid
1625|cobalt|north|valve|58|paid
1922|harbor|west|cable|71|held
2217|acme|south|frame|53|paid
2353|fulton|south|rotor|58|paid
1887|dorian|south|panel|29|pending
1816|ionic|west|panel|61|shipped
2200|ember|south|panel|45|shipped
1981|fulton|south|gasket|58|pending
1763|juno|south|valve|84|pending
1951|juno|east|cable|60|paid
1963|birch|south|gasket|58|pending
2103|ionic|south|cable|29|paid
2175|gale|north|cable|47|paid
1403|fulton|east|pump|12|held
1505|juno|east|pump|22|paid
1577|cobalt|south|sensor|55|held
2471|birch|east|pump|53|shipped
1486|harbor|west|gasket|42|pending
1411|fulton|east|frame|52|held
1541|acme|north|frame|79|paid
1779|juno|north|rotor|52|pending
2161|ember|west|cable|46|shipped
2012|harbor|east|rotor|18|held
1944|ember|west|cable|19|held
2241|juno|south|cable|33|shipped
1999|harbor|east|panel|94|held
1818|birch|east|sensor|55|held
2165|ionic|north|sensor|23|held
1909|juno|west|sensor|89|pending
1711|juno|north|frame|67|paid
2014|harbor|east|valve|96|shipped
1982|acme|north|sensor|69|paid
1476|cobalt|west|rotor|75|held
2240|fulton|west|rotor|58|pending
2385|harbor|south|valve|75|paid
1806|birch|west|pump|48|paid
1488|dorian|south|rotor|44|paid
2045|cobalt|south|cable|78|pending
1752|fulton|south|frame|24|held
1500|birch|north|pump|29|shipped
1432|fulton|east|sensor|40|pending
1482|dorian|south|rotor|44|shipped
1898|juno|south|frame|74|shipped
2049|acme|north|sensor|22|paid
1463|ember|east|frame|82|paid
1743|harbor|south|sensor|37|held
2245|harbor|north|frame|61|pending
2402|acme|west|cable|92|pending
1857|fulton|north|frame|25|pending
1753|fulton|north|pump|20|held
2176|dorian|south|gasket|90|paid
2238|harbor|north|gasket|49|held
2124|harbor|east|panel|39|held
2282|birch|west|gasket|11|held
1760|gale|west|gasket|16|shipped
2110|cobalt|east|valve|27|pending
2323|ionic|south|rotor|27|paid
1474|dorian|west|valve|55|shipped
1728|ionic|south|pump|22|shipped
1404|fulton|east|sensor|99|pending
2133|cobalt|south|pump|49|paid
2169|juno|west|panel|40|shipped
1784|fulton|south|rotor|31|paid
1672|dorian|north|valve|47|paid
1930|dorian|north|gasket|69|pending
1801|gale|west|rotor|92|pending
1746|cobalt|south|valve|95|shipped
1537|dorian|east|valve|34|paid
1402|fulton|south|gasket|55|pending
1701|ionic|east|valve|67|paid
1526|acme|east|rotor|78|pending
2215|acme|east|rotor|99|paid
1407|fulton|north|panel|22|pending
2285|cobalt|east|valve|69|paid
1609|ember|east|pump|25|paid
1529|ionic|east|sensor|33|held
2338|acme|east|rotor|16|held
1592|acme|west|valve|97|paid
2287|cobalt|west|gasket|15|held
1787|acme|west|rotor|46|held
1568|juno|south|gasket|15|paid
1809|birch|west|sensor|18|held
1790|harbor|west|cable|62|pending
2260|birch|south|sensor|23|shipped
1512|ember|east|cable|44|paid
2041|dorian|north|rotor|83|paid
1830|dorian|east|gasket|36|paid
1622|birch|west|panel|35|held
2008|juno|east|rotor|95|pending
2310|juno|north|panel|79|paid
2248|fulton|north|sensor|82|shipped
1608|ember|east|gasket|79|held
1547|fulton|north|valve|62|held
1509|cobalt|east|rotor|51|shipped
1875|dorian|south|rotor|29|pending
1458|ionic|south|gasket|88|held
1886|ember|west|pump|23|shipped
2461|ionic|west|sensor|10|paid
2447|harbor|east|pump|70|paid
1588|birch|east|valve|40|shipped
1452|fulton|north|cable|44|shipped
2368|ember|east|sensor|37|pending
1694|juno|east|valve|82|shipped
1970|ionic|east|valve|42|paid
1819|acme|east|gasket|75|held
2033|harbor|east|pump|56|shipped
2190|juno|east|panel|49|paid
2359|ember|east|cable|87|held
2251|dorian|south|valve|67|held
1915|ionic|west|cable|30|pending
1956|juno|east|frame|23|pending
2081|fulton|south|pump|55|paid
2067|harbor|north|cable|47|pending
2486|gale|south|frame|98|held
2449|acme|north|gasket|67|paid
2373|ember|east|valve|83|pending
1975|acme|west|cable|44|held
2097|birch|north|rotor|14|pending
2271|harbor|north|pump|82|pending
2399|ionic|west|cable|24|shipped
1718|cobalt|north|rotor|12|paid
2140|ionic|west|valve|20|shipped
2172|dorian|east|rotor|48|pending
1735|ionic|west|frame|60|held
1534|ember|east|pump|95|pending
2075|ember|west|sensor|71|shipped
2453|harbor|east|frame|82|pending
1984|fulton|east|pump|50|shipped
2392|acme|south|panel|63|shipped
1775|juno|west|cable|24|shipped
2455|cobalt|south|valve|12|shipped
1612|juno|west|cable|14|held
2147|harbor|south|valve|20|pending
2129|harbor|west|rotor|81|shipped
2499|ionic|north|panel|86|shipped
2058|acme|east|frame|46|paid
1756|cobalt|north|cable|24|pending
1948|dorian|west|valve|22|held
2222|cobalt|north|pump|76|held
1881|acme|west|pump|71|shipped
1685|harbor|west|cable|32|paid
2166|harbor|west|gasket|85|held
1869|cobalt|east|panel|14|held
1477|dorian|west|cable|61|held
2320|dorian|west|cable|25|held
2177|harbor|east|pump|84|held
2027|gale|south|sensor|31|shipped
1796|gale|north|pump|51|shipped
1492|birch|south|rotor|81|held
1931|cobalt|west|gasket|91|held
1826|juno|west|sensor|22|shipped
1742|juno|south|panel|38|paid
1552|birch|north|panel|85|pending
2347|acme|south|rotor|52|shipped
1429|fulton|east|frame|52|shipped
1856|acme|west|frame|80|pending
1397|fulton|east|sensor|59|pending
2181|ionic|south|gasket|90|paid
1653|juno|south|sensor|89|shipped
1850|ionic|north|frame|62|paid
1932|acme|south|frame|43|paid
1424|fulton|north|valve|74|pending
2180|fulton|north|cable|23|held
2500|acme|south|sensor|92|paid
2419|juno|east|sensor|33|shipped
2439|cobalt|east|valve|67|held
2019|dorian|east|pump|55|paid
1597|acme|south|valve|44|held
2504|ionic|south|cable|34|paid
1740|ember|south|panel|13|pending
2055|juno|south|valve|45|pending
2466|dorian|east|panel|67|pending
2384|juno|south|panel|12|shipped
2314|birch|south|cable|44|held
2214|fulton|north|gasket|41|shipped
1880|birch|north|pump|86|held
2412|dorian|north|pump|97|pending
1843|birch|south|sensor|18|paid
1691|ember|east|sensor|58|paid
1445|cobalt|north|panel|94|shipped
1562|ember|north|frame|12|held
1690|ember|north|gasket|47|paid
1765|gale|south|rotor|75|pending
2303|ionic|west|frame|84|pending
1553|fulton|south|gasket|91|shipped
1678|ionic|east|sensor|52|pending
1702|juno|west|frame|27|shipped
2028|harbor|west|gasket|58|shipped
1641|cobalt|south|cable|43|pending
2428|dorian|north|frame|64|paid
1618|cobalt|south|gasket|23|shipped
2024|cobalt|east|gasket|54|shipped
2029|dorian|south|frame|74|pending
2154|cobalt|west|pump|41|held
2207|harbor|south|rotor|50|shipped
2457|gale|south|sensor|19|shipped
2337|cobalt|north|cable|97|pending
1666|birch|north|pump|32|held
1542|gale|north|frame|47|paid
2153|gale|north|sensor|33|held
1638|acme|east|sensor|35|paid
1883|fulton|east|pump|33|held
2378|fulton|south|panel|18|shipped
2069|gale|west|valve|42|paid
1687|birch|east|pump|22|held
1632|acme|east|frame|89|held
1877|fulton|east|gasket|20|paid
2491|harbor|south|frame|23|paid
1650|ember|east|cable|54|shipped
1815|ionic|south|panel|92|shipped
2088|gale|west|rotor|78|held
1517|acme|north|cable|34|paid
1519|juno|west|cable|77|pending
2515|ionic|south|cable|51|shipped
1581|juno|east|panel|96|pending
1722|ionic|east|frame|75|pending
1564|cobalt|south|pump|22|paid
1858|acme|north|panel|66|shipped
1899|acme|south|gasket|59|pending
1636|birch|south|gasket|64|shipped
2366|ember|south|rotor|92|paid
2231|harbor|east|cable|37|shipped
2343|ember|north|sensor|39|pending
2292|acme|south|panel|93|paid
1862|dorian|south|valve|35|paid
2100|juno|north|cable|22|shipped
2065|ionic|south|pump|30|paid
1417|fulton|east|sensor|32|pending
2199|gale|east|valve|65|held
1768|harbor|south|pump|39|shipped
1436|fulton|west|panel|67|pending
2482|harbor|south|panel|70|held
2421|cobalt|east|gasket|31|paid
1659|ionic|west|frame|78|pending
2188|harbor|west|cable|89|pending
1902|cobalt|east|sensor|37|held
2511|ember|north|pump|60|paid
2440|harbor|north|cable|80|shipped
2477|fulton|east|pump|29|paid
2265|birch|south|sensor|32|pending
2277|cobalt|south|cable|50|shipped
2330|ionic|east|sensor|74|pending
2435|ionic|north|valve|20|pending
1570|harbor|south|sensor|46|pending
2296|ionic|west|gasket|12|shipped
2094|ember|west|sensor|69|pending
2205|gale|south|gasket|22|paid
2445|acme|south|rotor|85|pending
1894|juno|west|valve|41|shipped
2467|fulton|west|cable|39|pending
2117|juno|south|cable|76|pending
1584|harbor|south|valve|99|held
1993|gale|south|rotor|56|shipped
1772|harbor|south|panel|46|pending
2195|harbor|south|gasket|11|shipped
1750|acme|north|valve|62|paid
2228|juno|west|gasket|86|held
1988|dorian|east|panel|79|shipped
2363|gale|north|sensor|73|pending
1836|ember|south|rotor|35|paid
1604|acme|west|gasket|17|pending
1441|fulton|east|panel|20|held
2253|juno|south|panel|73|pending
1449|dorian|south|frame|23|pending
1833|gale|north|cable|96|paid
1560|birch|east|rotor|66|paid
2478|cobalt|north|frame|26|paid
1928|dorian|east|valve|77|pending
2197|harbor|west|cable|14|paid
2498|fulton|south|panel|64|pending
1704|acme|east|valve|54|shipped
2037|ionic|south|gasket|32|held
1626|ember|south|valve|57|shipped
2102|harbor|east|valve|87|held
1647|ionic|north|cable|83|paid
1965|fulton|south|gasket|66|held
2004|cobalt|west|gasket|75|pending
1935|birch|east|sensor|87|paid
1498|ionic|north|pump|24|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, 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": 1432}},
{"tool": "restock", "args": {"item": "sensor", "qty": 99}},
{"tool": "restock", "args": {"item": "frame", "qty": 52}},
{"tool": "restock", "args": {"item": "pump", "qty": 50}}
]wrongagentic.tools.triage-v1conf 100% · 263ms · $0.001 · 567 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → tanaka
- infra → rivera
- data → chen
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 3)
2. "invoice total wrong" (category: payments, priority 3)
3. "export file corrupted" (category: data, priority 9)
4. "invoice total wrong" (category: payments, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1conf 100% · 118ms · $0.001 · 307 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 (160 records, format: id|customer|region|item|qty|status):
```
1614|ionic|west|panel|20|held
1154|acme|east|frame|32|pending
1402|ember|west|sensor|38|paid
1739|gale|south|frame|66|held
1469|gale|west|gasket|51|paid
1476|acme|south|valve|31|shipped
1126|harbor|north|pump|12|shipped
1420|acme|south|cable|21|pending
1545|ionic|east|pump|92|shipped
1704|fulton|north|panel|16|paid
1386|dorian|north|frame|29|held
1310|ionic|east|gasket|24|held
1508|acme|south|rotor|76|paid
1338|harbor|east|panel|66|paid
1363|birch|west|valve|69|pending
1651|fulton|east|pump|76|paid
1735|juno|south|frame|34|held
1416|ember|west|frame|62|paid
1723|fulton|east|panel|12|pending
1110|harbor|north|valve|24|paid
1742|juno|south|cable|32|paid
1308|harbor|west|cable|95|held
1232|ionic|west|pump|36|paid
1099|harbor|north|valve|78|pending
1567|juno|north|sensor|97|shipped
1439|juno|west|rotor|96|held
1658|ionic|east|valve|20|held
1269|cobalt|north|pump|74|shipped
1676|gale|west|panel|45|shipped
1635|birch|east|gasket|89|paid
1730|acme|north|frame|58|pending
1150|acme|east|cable|13|paid
1627|dorian|west|frame|13|paid
1554|fulton|east|cable|67|shipped
1275|ionic|north|frame|76|paid
1560|birch|east|frame|69|held
1380|birch|north|frame|84|paid
1086|harbor|south|gasket|18|pending
1639|ionic|south|sensor|27|paid
1235|acme|north|cable|78|shipped
1489|ionic|north|pump|42|paid
1515|ember|south|gasket|58|held
1480|ionic|east|cable|65|shipped
1151|ember|east|pump|52|held
1608|ember|south|cable|21|pending
1686|birch|west|rotor|36|shipped
1265|acme|west|sensor|96|paid
1719|ionic|east|gasket|19|shipped
1263|acme|north|cable|40|held
1345|birch|east|rotor|48|held
1456|birch|west|cable|84|shipped
1590|ember|north|cable|90|shipped
1270|gale|east|frame|19|shipped
1434|cobalt|west|gasket|15|held
1404|harbor|north|valve|27|paid
1573|fulton|north|cable|79|pending
1301|ember|north|valve|64|held
1495|dorian|east|frame|73|paid
1376|cobalt|south|panel|65|held
1144|ionic|east|cable|28|paid
1645|harbor|north|sensor|80|paid
1103|harbor|south|pump|87|pending
1165|ionic|north|pump|20|pending
1190|birch|east|rotor|65|shipped
1695|harbor|south|cable|10|pending
1070|harbor|south|pump|15|pending
1538|harbor|west|frame|99|pending
1444|ionic|east|sensor|22|held
1183|cobalt|south|cable|92|shipped
1549|fulton|west|pump|97|shipped
1361|birch|east|sensor|12|pending
1451|gale|south|panel|84|shipped
1076|harbor|north|sensor|89|held
1580|harbor|north|rotor|84|pending
1285|cobalt|south|cable|60|held
1522|ionic|east|gasket|46|pending
1230|gale|south|cable|41|pending
1679|fulton|north|pump|79|pending
1445|dorian|west|panel|19|shipped
1370|fulton|north|sensor|83|shipped
1392|gale|north|gasket|62|pending
1453|ionic|north|panel|23|held
1163|acme|east|frame|89|paid
1462|juno|west|pump|93|pending
1063|harbor|north|valve|93|pending
1327|ionic|east|panel|29|paid
1341|harbor|south|valve|70|shipped
1449|birch|east|frame|75|held
1293|ionic|north|frame|63|shipped
1218|birch|west|frame|38|pending
1709|gale|west|pump|51|paid
1252|juno|north|panel|31|paid
1245|birch|east|frame|85|shipped
1594|birch|east|panel|61|shipped
1601|juno|north|cable|44|held
1286|harbor|south|cable|33|held
1630|ionic|north|panel|10|shipped
1528|acme|west|panel|60|held
1432|ember|north|frame|57|pending
1295|harbor|south|valve|73|paid
1326|dorian|east|cable|35|held
1141|acme|north|gasket|26|held
1358|fulton|south|rotor|57|shipped
1314|harbor|south|gasket|92|held
1279|gale|west|pump|30|held
1205|birch|east|cable|47|shipped
1411|dorian|south|sensor|57|shipped
1157|ember|north|frame|44|held
1351|ember|south|sensor|51|held
1584|gale|west|sensor|25|shipped
1507|acme|south|frame|97|held
1566|birch|west|valve|83|held
1427|gale|east|frame|35|pending
1610|ionic|east|sensor|37|shipped
1133|gale|east|panel|60|held
1201|harbor|east|pump|43|pending
1348|ionic|north|cable|68|shipped
1669|cobalt|west|sensor|78|paid
1660|juno|east|frame|97|held
1330|acme|east|rotor|88|shipped
1238|ionic|west|valve|12|shipped
1440|dorian|north|sensor|49|held
1321|ionic|north|panel|21|shipped
1257|gale|south|frame|96|held
1223|harbor|west|cable|75|paid
1123|harbor|north|rotor|39|paid
1118|harbor|east|cable|88|pending
1212|dorian|east|valve|69|shipped
1140|birch|north|cable|45|pending
1092|harbor|north|sensor|16|held
1714|acme|west|valve|91|paid
1621|birch|west|frame|77|paid
1083|harbor|north|gasket|14|pending
1220|cobalt|east|sensor|97|shipped
1733|dorian|north|rotor|62|pending
1696|ember|north|cable|86|pending
1638|fulton|east|valve|37|paid
1581|fulton|east|valve|33|paid
1447|cobalt|north|sensor|47|pending
1334|dorian|south|rotor|42|pending
1718|fulton|west|panel|19|paid
1689|fulton|east|frame|48|paid
1398|fulton|west|frame|37|shipped
1114|harbor|north|frame|97|pending
1155|ionic|west|valve|31|held
1504|cobalt|east|frame|99|shipped
1666|ember|west|gasket|16|held
1499|gale|east|rotor|81|pending
1258|ember|south|pump|64|paid
1371|juno|south|pump|34|paid
1182|cobalt|east|cable|22|held
1196|fulton|east|frame|29|held
1553|ionic|north|sensor|54|pending
1179|dorian|west|valve|56|held
1172|gale|south|cable|99|shipped
1703|cobalt|east|gasket|35|pending
1531|ionic|west|sensor|11|paid
1483|cobalt|north|cable|38|pending
1191|fulton|east|pump|81|held
1268|acme|north|cable|81|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, 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": 1063}},
{"tool": "cancel_order", "args": {"order_id": 1083}},
{"tool": "restock", "args": {"item": "frame", "qty": 97}},
{"tool": "cancel_order", "args": {"order_id": 1114}},
{"tool": "cancel_order", "args": {"order_id": 1118}},
{"tool": "cancel_order", "args": {"order_id": 1165}},
{"tool": "cancel_order", "args": {"order_id": 1201}},
{"tool": "cancel_order", "args": {"order_id": 1447}},
{"tool": "cancel_order", "args": {"order_id": 1483}},
{"tool": "cancel_order", "args": {"order_id": 1538}},
{"tool": "cancel_order", "args": {"order_id": 1553}},
{"tool": "cancel_order", "args": {"order_id": 1573}},
{"tool": "cancel_order", "args": {"order_id": 1580}},
{"tool": "restock", "args": {"item": "pump", "qty": 79}},
{"tool": "cancel_order", "args": {"order_id": 1679}}
]wrongagentic.tools.ledger-v1conf 100% · 306ms · $0.001 · 592 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $437
- lima: $736
- delta: $191
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $424 from "lima" to "delta"
2. pay $280 from "lima" to "delta"
3. pay $372 from "oscar" to "lima"
4. pay $297 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
CONFIDENCE: 100correctagentic.tools.deploy-v1conf 100% · 110ms · $0.000 · 417 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: (none)
- reports: billing
- billing: notifier
- notifier: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1anchorconf 100% · 2.9s · $0.001 · 1295 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-v1conf 100% · 308ms · $0.000 · 177 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → dubois
- payments → chen
- infra → tanaka
INCIDENTS:
1. "records missing after import" (category: data, priority 3)
2. "records missing after import" (category: data, priority 3)
3. "API latency spikes" (category: infra, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}
]correctagentic.tools.deploy-v1anchorconf 100% · 367ms · $0.001 · 577 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"}}
]wrongagentic.tools.context-load-v1anchorconf 100% · 673ms · $0.002 · 1412 tok
model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1357}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "restock", "args": {"item": "sensor", "qty": 59}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1628}},
{"tool": "cancel_order", "args": {"order_id": 1682}}
]wrongagentic.tools.triage-v1anchorconf 100% · 393ms · $0.000 · 249 tok
model answer:
(none extracted)code 26/30 correct
correctcode.trace.nested-v1conf 100% · 245ms · $0.001 · 1277 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 5 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:
161correctcode.trace.js-v1conf 100% · 325ms · $0.000 · 573 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
605wrongcode.trace.python-v1conf 100% · 290ms · $0.001 · 643 tok
question
What does this Python program print?
```python
total = 0
v = 6
while total + v <= 117:
if v % 3 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
163correctcode.trace.js-v1conf 100% · 314ms · $0.000 · 376 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
196correctcode.trace.nested-v1conf 100% · 107ms · $0.001 · 1120 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
177correctcode.trace.python-v1conf 100% · 599ms · $0.000 · 409 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 8
while total + v <= 67:
if v % 4 != 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:
0correctcode.trace.nested-v1conf 100% · 304ms · $0.001 · 1359 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 * 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:
346correctcode.trace.js-v1conf 100% · 106ms · $0.000 · 376 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 3) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30correctcode.trace.js-v1conf 100% · 293ms · $0.000 · 348 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 5) .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:
180wrongcode.trace.python-v1conf 100% · 652ms · $0.000 · 555 tok
question
What does this Python program print?
```python
total = 0
v = 1
while total + v <= 88:
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:
99correctcode.trace.python-v1conf 100% · 505ms · $0.000 · 597 tok
question
What does this Python program print?
```python
total = 0
v = 6
while total + v <= 110:
if v % 6 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
90correctcode.trace.nested-v1conf 100% · 108ms · $0.001 · 992 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:
111wrongcode.trace.nested-v1conf 100% · 284ms · $0.001 · 1402 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
316correctcode.trace.js-v1conf 100% · 313ms · $0.000 · 330 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84correctcode.trace.python-v1conf 100% · 445ms · $0.000 · 596 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 2
while total + v <= 53:
if v % 4 != 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:
48correctcode.trace.nested-v1conf 100% · 130ms · $0.001 · 1393 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 * 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:
316correctcode.trace.nested-v1conf 100% · 545ms · $0.001 · 1751 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
275correctcode.trace.js-v1conf 100% · 122ms · $0.000 · 396 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 * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60correctcode.trace.python-v1conf 100% · 117ms · $0.000 · 507 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 4
while total + v <= 102:
if v % 6 != 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:
70correctcode.trace.js-v1conf 100% · 112ms · $0.000 · 434 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
100correctcode.trace.python-v1conf 100% · 543ms · $0.001 · 774 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 1
while total + v <= 83:
if v % 6 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
81correctcode.trace.nested-v1conf 100% · 2.1s · $0.001 · 1828 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 5 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:
276correctcode.trace.js-v1conf 100% · 148ms · $0.000 · 323 tok
question
What does this JavaScript program log? ```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 % 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:
72correctcode.trace.nested-v1conf 100% · 123ms · $0.001 · 1659 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 5 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
242wrongcode.trace.python-v1conf 100% · 250ms · $0.001 · 850 tok
question
What does this Python program print?
```python
total = 0
v = 6
while total + v <= 112:
if v % 5 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
126correctcode.trace.js-v1conf 100% · 272ms · $0.000 · 328 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60correctcode.trace.python-v1anchorconf 100% · 100ms · $0.001 · 1112 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 414ms · $0.001 · 1249 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 757ms · $0.000 · 352 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 163ms · $0.000 · 451 tok
model answer:
40instruction following 20/30 correct
wrongif.constraints.stack-v1conf 100% · 340ms · $0.000 · 44 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 "quartz" and the last word must be "zephyr". 3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz prism lights reflect off prism city streets at night through a prism gentle zephyrwrongif.format.acronym-v1conf 100% · 402ms · $0.000 · 170 tok
question
Take the third letter of each of these words, in order: comet, orbit, drift, zephyr, tundra, delta. 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:
MBIENLcorrectif.format.acronym-v1conf 100% · 309ms · $0.000 · 195 tok
question
Take the third letter of each of these words, in order: flint, tundra, nova, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
INVBcorrectif.format.repeat-v1conf 100% · 390ms · $0.000 · 120 tok
question
Write the word "lumen" in lowercase 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:
lumen_lumen_lumen_lumen_lumenwrongif.constraints.stack-v1conf 100% · 614ms · $0.000 · 45 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "orbit" and the last word must be "flint". 3. Use the word "delta" 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:
orbit of the vast ocean waves crashing on delta shores and another delta hidden beneath flintcorrectif.format.repeat-v1conf 100% · 261ms · $0.000 · 140 tok
question
Write the word "flint" in uppercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLINT/FLINT/FLINT/FLINTcorrectif.format.repeat-v1conf 100% · 765ms · $0.000 · 60 tok
question
Write the word "echo" in uppercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ECHO-ECHO-ECHO-ECHOwrongif.constraints.stack-v1conf 100% · 100ms · $0.000 · 49 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "orbit" and the last word must be "drift". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit of the ember sea where ember waves gently lap at the shore with ember tides that slowly driftcorrectif.format.acronym-v1conf 100% · 492ms · $0.000 · 166 tok
question
Take the third letter of each of these words, in order: nova, lumen, quartz, 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:
VMAIwrongif.constraints.stack-v1conf 100% · 429ms · $0.000 · 55 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "zephyr" and the last word must be "lumen". 3. Use the word "delta" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr whispers secrets to the delta waves that gently lap against the serene delta shores under the soft ocean lumencorrectif.format.repeat-v1conf 100% · 305ms · $0.000 · 115 tok
question
Write the word "flint" in capitalized 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:
FLINT/FLINT/FLINT/FLINT/FLINTcorrectif.format.acronym-v1conf 100% · 569ms · $0.000 · 151 tok
question
Take the first letter of each of these words, in order: lumen, ember, quartz, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LEQDcorrectif.format.acronym-v1conf 100% · 107ms · $0.000 · 232 tok
question
Take the second letter of each of these words, in order: echo, basalt, orbit, falcon, prism, delta. 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:
CARAREwrongif.constraints.stack-v1conf 100% · 312ms · $0.000 · 50 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "tundra" and the last word must be "echo". 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:
tundra stretches out before us, a vast expanse of lumen and lumen in the dark echocorrectif.format.acronym-v1conf 100% · 259ms · $0.000 · 166 tok
question
Take the first letter of each of these words, in order: falcon, delta, basalt, 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:
FDBEcorrectif.format.repeat-v1conf 100% · 242ms · $0.000 · 39 tok
question
Write the word "lumen" in capitalized form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LUMEN/LUMEN/LUMEN/LUMEN/LUMEN/LUMEN/LUMENcorrectif.format.repeat-v1conf 100% · 287ms · $0.000 · 156 tok
question
Write the word "zephyr" in lowercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr_zephyr_zephyr_zephyr_zephyr_zephyrwrongif.constraints.stack-v1conf 100% · 310ms · $0.000 · 54 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "tundra" and the last word must be "echo". 3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra vast ocean waves crash falcon soars above falcon gliding smoothly over calm waters gentle echowrongif.constraints.stack-v1conf 100% · 113ms · $0.000 · 63 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "drift" and the last word must be "echo". 3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift gently over cedar lined shores where cedar trees stand tall near cedar rocks that softly resound with a soothing ocean echocorrectif.format.acronym-v1conf 100% · 537ms · $0.000 · 228 tok
question
Take the second letter of each of these words, in order: comet, flint, zephyr, falcon, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
OLEAEcorrectif.format.acronym-v1conf 100% · 525ms · $0.000 · 172 tok
question
Take the third letter of each of these words, in order: delta, basalt, prism, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LSIBcorrectif.format.repeat-v1conf 100% · 1.2s · $0.000 · 97 tok
question
Write the word "drift" in uppercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DRIFT/DRIFT/DRIFT/DRIFTwrongif.constraints.stack-v1conf 100% · 267ms · $0.000 · 61 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "ember" and the last word must be "echo". 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:
ember glow fades into dark lumen beneath waves where bioluminescent creatures spark lumen in the depths sending a gentle soothing echocorrectif.format.repeat-v1conf 100% · 298ms · $0.000 · 72 tok
question
Write the word "quartz" 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:
quartz-quartz-quartz-quartzcorrectif.format.repeat-v1anchorconf 100% · 308ms · $0.000 · 158 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.constraints.stack-v1conf 100% · 122ms · $0.000 · 84 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "tundra" and the last word must be "quartz". 3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra city nights have falcon silhouettes against bright lights, falcon soaring high, amidst skyscrapers, neon glow, and dark alleys filled with granite quartzcorrectif.format.acronym-v1conf 100% · 135ms · $0.000 · 153 tok
question
Take the first letter of each of these words, in order: falcon, orbit, zephyr, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FOZDwrongif.constraints.stack-v1anchorconf 100% · 310ms · $0.000 · 61 tok
model answer:
drift softly through city streets where lumen guides us past dark alleys filled with lumen and more lumen shining brightly into silent orbitcorrectif.format.acronym-v1anchorconf 100% · 332ms · $0.000 · 83 tok
model answer:
ZDFQcorrectif.format.repeat-v1anchorconf 100% · 120ms · $0.000 · 197 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 11 tok
question
Identify the Turkish 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:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 252ms · $0.000 · 11 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 378ms · $0.000 · 14 tok
question
Name the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 237ms · $0.000 · 14 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% · 273ms · $0.000 · 16 tok
question
Identify 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% · 104ms · $0.000 · 14 tok
question
Name the capital of Australia. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 97ms · $0.000 · 12 tok
question
What is the capital of Nigeria? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 245ms · $0.000 · 16 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 294ms · $0.000 · 11 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 99ms · $0.000 · 12 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% · 229ms · $0.000 · 11 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 107ms · $0.000 · 15 tok
question
Name the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 244ms · $0.000 · 15 tok
question
What is the Kazakh capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 366ms · $0.000 · 11 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 100ms · $0.000 · 20 tok
question
What is the capital of Myanmar? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 303ms · $0.000 · 14 tok
question
Identify the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 311ms · $0.000 · 11 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 98ms · $0.000 · 14 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 160ms · $0.000 · 14 tok
question
What is 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% · 253ms · $0.000 · 14 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% · 114ms · $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-v2conf 100% · 236ms · $0.000 · 24 tok
question
Identify the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 305ms · $0.000 · 14 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% · 107ms · $0.000 · 16 tok
question
Identify 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% · 128ms · $0.000 · 16 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 656ms · $0.000 · 13 tok
question
What is the chemical element with symbol Pb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 1.3s · $0.000 · 16 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 106ms · $0.000 · 14 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 159ms · $0.000 · 16 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 277ms · $0.000 · 13 tok
model answer:
Leadmath 30/30 correct
correctmath.counterfactual.base-v1conf 100% · 606ms · $0.000 · 408 tok
question
Work strictly in base 7. Add the base-7 numbers 3552 and 5424. 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:
12306correctmath.chained.pipeline-v1conf 100% · 434ms · $0.000 · 181 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 20 × 58. Step 2: Q = P × 3 − 226. 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:
366correctmath.percent.chain-v2conf 100% · 354ms · $0.000 · 228 tok
question
An inventory starts at 95000 units. The warehouse was painted 108 years ago. In the first month the inventory grows by 36%. The delivery van has a 161-liter fuel tank. The next month it shrinks by 14%, 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:
160001.28correctmath.algebra.system-v2conf 100% · 420ms · $0.000 · 258 tok
question
Solve the system, then answer the derived question. 6x + 9y = -177 6x − 4y = 70 What is the value of 3x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
92correctmath.arith.chain-v2conf 100% · 297ms · $0.000 · 274 tok
question
Compute the value of the following expression. (((75 × 77 − 393) × 8 + 6032) − 50 × 58) × 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:
92376correctmath.percent.chain-v2conf 100% · 796ms · $0.000 · 238 tok
question
An inventory starts at 26000 units. The delivery van has a 159-liter fuel tank. In the first month the inventory grows by 13%. The warehouse was painted 18 years ago. The next month it shrinks by 6%, and the month after it grows by 40%. 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:
38664.08correctmath.counterfactual.base-v1conf 100% · 166ms · $0.000 · 448 tok
question
Work strictly in base 13. Multiply the base-13 numbers 69 and 57. 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:
2B0Bcorrectmath.chained.pipeline-v1conf 100% · 115ms · $0.000 · 191 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 18 × 54. Step 2: Q = P × 8 − 216. 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:
1260correctmath.algebra.system-v2conf 100% · 248ms · $0.000 · 316 tok
question
Solve the system, then answer the derived question. 2x + 4y = 10 7x − 5y = -231 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:
-74correctmath.arith.chain-v2conf 100% · 228ms · $0.000 · 275 tok
question
Work out the exact value of this expression. (((91 × 59 − 735) × 9 + 3594) − 19 × 70) × 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:
263820correctmath.counterfactual.base-v1conf 100% · 315ms · $0.001 · 610 tok
question
Work strictly in base 11. Add the base-11 numbers 2136 and 898. 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:
2A23correctmath.chained.pipeline-v1conf 100% · 127ms · $0.000 · 184 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 71 × 78. Step 2: Q = P × 3 − 548. 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:
2010correctmath.counterfactual.base-v1conf 100% · 445ms · $0.001 · 1163 tok
question
Work strictly in base 9. Multiply the base-9 numbers 56 and 78. 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:
4863correctmath.arith.chain-v2conf 100% · 265ms · $0.000 · 330 tok
question
Calculate the following. Show your reasoning, then answer. (((94 × 54 − 643) × 6 + 3629) − 48 × 96) × 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:
179333correctmath.percent.chain-v2conf 100% · 280ms · $0.000 · 435 tok
question
An inventory starts at 22000 units. The delivery van has a 107-liter fuel tank. In the first month the inventory grows by 6%. The delivery van has a 164-liter fuel tank. The next month it shrinks by 24%, and the month after it grows by 38%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
24458.02correctmath.algebra.system-v2conf 100% · 149ms · $0.000 · 407 tok
question
Solve the system, then answer the derived question. 4x + 4y = -40 8x − 6y = 382 What is the value of 6x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
204correctmath.counterfactual.base-v1conf 100% · 345ms · $0.001 · 959 tok
question
Work strictly in base 9. Multiply the base-9 numbers 28 and 14. 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:
415correctmath.chained.pipeline-v1conf 100% · 563ms · $0.000 · 188 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 51 × 83. Step 2: Q = P × 7 − 876. 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:
3597correctmath.algebra.system-v2conf 100% · 364ms · $0.000 · 362 tok
question
Solve the system, then answer the derived question. 5x + 3y = -281 9x − 6y = -198 What is the value of 6x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-186correctmath.percent.chain-v2conf 100% · 578ms · $0.000 · 225 tok
question
An inventory starts at 56000 units. Each pallet weighs about 49 grams more when wet. In the first month the inventory grows by 13%. A rival firm shipped 105 unrelated parcels the same week. The next month it shrinks by 25%, and the month after it grows by 43%. 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:
67867.80correctmath.chained.pipeline-v1conf 100% · 492ms · $0.000 · 203 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 46 × 28. Step 2: Q = P × 7 − 784. 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:
1372correctmath.arith.chain-v2conf 100% · 260ms · $0.000 · 324 tok
question
Calculate the following. Show your reasoning, then answer. (((75 × 64 − 893) × 6 + 8448) − 94 × 96) × 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:
91464correctmath.arith.chain-v2conf 100% · 403ms · $0.000 · 325 tok
question
Calculate the following. Show your reasoning, then answer. (((28 × 41 − 578) × 4 + 6833) − 79 × 31) × 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:
33320correctmath.percent.chain-v2conf 100% · 131ms · $0.000 · 238 tok
question
An inventory starts at 25000 units. The warehouse was painted 134 years ago. In the first month the inventory grows by 16%. The company was founded 114 kilometers from the port. The next month it shrinks by 35%, and the month after it grows by 7%. 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:
20169.50correctmath.algebra.system-v2conf 100% · 110ms · $0.000 · 348 tok
question
Solve the system, then answer the derived question. 8x + 4y = -80 8x − 8y = 280 What is the value of 4x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
200correctmath.chained.pipeline-v1conf 100% · 537ms · $0.000 · 181 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 65 × 33. Step 2: Q = P × 9 − 985. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4580correctmath.percent.chain-v2anchorconf 100% · 283ms · $0.000 · 270 tok
model answer:
61896.52correctmath.counterfactual.base-v1anchorconf 100% · 152ms · $0.000 · 454 tok
model answer:
11236correctmath.arith.chain-v2anchorconf 100% · 636ms · $0.000 · 278 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 299ms · $0.000 · 262 tok
model answer:
87multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 167ms · $0.000 · 219 tok
question
A number is written in French: « huit cent soixante-seize ». Another is written in Spanish: « doscientos sesenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
607correctmultilingual.wordnum-v1conf 100% · 302ms · $0.000 · 150 tok
question
A number is written in French: « trois cent vingt-six ». Another is written in Spanish: « novecientos veinte ». 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:
1246correctmultilingual.numword-v2conf 100% · 243ms · $0.000 · 22 tok
question
Compute 63 + 166, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos veintinuevecorrectmultilingual.wordnum-v1conf 100% · 349ms · $0.000 · 98 tok
question
A number is written in French: « cent cinquante-huit ». Another is written in Spanish: « quinientos sesenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
724correctmultilingual.numword-v2conf 100% · 731ms · $0.000 · 18 tok
question
Compute 352 + 68, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent vingtcorrectmultilingual.wordnum-v1conf 100% · 234ms · $0.000 · 89 tok
question
A number is written in French: « cent quarante ». Another is written in Spanish: « sesenta y cinco ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
75correctmultilingual.numword-v2conf 100% · 396ms · $0.000 · 23 tok
question
Compute 142 + 226, 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 ochocorrectmultilingual.wordnum-v1conf 100% · 337ms · $0.000 · 198 tok
question
A number is written in French: « huit cent soixante-dix-sept ». Another is written in Spanish: « seiscientos sesenta y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1544correctmultilingual.numword-v2conf 100% · 351ms · $0.000 · 22 tok
question
Compute 308 + 110, 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 dix-huitcorrectmultilingual.wordnum-v1conf 100% · 321ms · $0.000 · 196 tok
question
A number is written in French: « six cent soixante-treize ». Another is written in Spanish: « novecientos sesenta ». 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:
-287correctmultilingual.wordnum-v1conf 100% · 139ms · $0.000 · 160 tok
question
A number is written in French: « neuf cent quarante et un ». Another is written in Spanish: « ochenta 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:
1022correctmultilingual.numword-v2conf 100% · 326ms · $0.000 · 27 tok
question
Compute 400 + 290, 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 quatre-vingt-dixcorrectmultilingual.numword-v2conf 100% · 123ms · $0.000 · 20 tok
question
Compute 494 + 363, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
huit cent cinquante-septcorrectmultilingual.numword-v2conf 100% · 476ms · $0.000 · 70 tok
question
Compute 142 + 275, 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 dix-septcorrectmultilingual.wordnum-v1conf 100% · 351ms · $0.000 · 186 tok
question
A number is written in French: « quatre cent quatre-vingt-dix-neuf ». Another is written in Spanish: « treinta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
534correctmultilingual.wordnum-v1conf 100% · 331ms · $0.000 · 151 tok
question
A number is written in French: « quatre cent seize ». Another is written in Spanish: « trescientos diecisiete ». 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:
733correctmultilingual.wordnum-v1conf 100% · 274ms · $0.000 · 158 tok
question
A number is written in French: « deux cent quatre-vingt-cinq ». Another is written in Spanish: « seiscientos cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
890correctmultilingual.numword-v2conf 100% · 281ms · $0.000 · 23 tok
question
Compute 499 + 455, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
novecientos cincuenta y cuatrocorrectmultilingual.numword-v2conf 100% · 128ms · $0.000 · 22 tok
question
Compute 311 + 143, 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 cinquante-quatrecorrectmultilingual.wordnum-v1conf 100% · 217ms · $0.000 · 175 tok
question
A number is written in French: « sept cent vingt-cinq ». Another is written in Spanish: « doscientos noventa y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1022correctmultilingual.numword-v2conf 100% · 175ms · $0.000 · 23 tok
question
Compute 423 + 298, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos veintiunocorrectmultilingual.wordnum-v1conf 100% · 293ms · $0.000 · 89 tok
question
A number is written in French: « neuf cent seize ». Another is written in Spanish: « seiscientos diez ». 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:
1526correctmultilingual.numword-v2conf 100% · 106ms · $0.000 · 52 tok
question
Compute 333 + 69, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos doscorrectmultilingual.wordnum-v1conf 100% · 270ms · $0.000 · 130 tok
question
A number is written in French: « trois cent quatre-vingt-six ». Another is written in Spanish: « quinientos cuarenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-163correctmultilingual.numword-v2conf 100% · 123ms · $0.000 · 18 tok
question
Compute 284 + 127, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos oncecorrectmultilingual.wordnum-v1anchorconf 100% · 116ms · $0.000 · 204 tok
model answer:
762correctmultilingual.numword-v2conf 100% · 237ms · $0.000 · 19 tok
question
Compute 435 + 222, 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 cinquante-septcorrectmultilingual.wordnum-v1anchorconf 100% · 107ms · $0.000 · 100 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 100ms · $0.000 · 26 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 231ms · $0.000 · 19 tok
model answer:
seiscientos ochoreasoning 30/30 correct
correctreasoning.deduction.order-v2conf 100% · 291ms · $0.000 · 356 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Jonas is taller than Goran. Nadir is taller than Tessa. Tessa is taller than Goran. Tessa is taller than Rosa. Tessa is taller than Goran. Mona is faster than everyone here, but Mona is not being ranked. Rosa is taller than Goran. Jonas is taller than Emil. Emil is taller than Nadir. Chen is taller than Jonas. 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% · 127ms · $0.000 · 81 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Jonas. Chen is number 1 in the queue. Rosa is directly ahead of Sami. 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:
Jonascorrectreasoning.deduction.order-v2conf 100% · 113ms · $0.000 · 383 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Tessa. Tessa is older than Ines. Priya is older than Goran. Goran is older than Ines. Nadir is older than Hana. Tessa is older than Chen. Chen is older than Goran. Chen is older than Priya. Rosa is faster than everyone here, but Rosa is not being ranked. Tessa is older 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 277ms · $0.000 · 123 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Alice. Chen is directly ahead of Dara. Dara 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:
Chencorrectreasoning.deduction.order-v2conf 100% · 243ms · $0.001 · 1165 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Chen. Mona is older than Sami. Quinn is older than Sami. Tessa is older than Goran. Quinn is older than Bruno. Jonas is heavier than everyone here, but Jonas is not being ranked. Bruno is older than Mona. Goran is older than Bruno. Goran is older than Quinn. Sami is older than Chen. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 358ms · $0.000 · 118 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Quinn. Chen is directly ahead of Dara. Dara is number 4 in the queue. Quinn is directly ahead of Chen. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.order-v2conf 100% · 259ms · $0.000 · 338 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Quinn is faster than Tessa. Quinn is faster than Sami. Quinn is faster than Tessa. Sami is faster than Priya. Sami is faster than Goran. Rosa is faster than Tessa. Kira is faster than Priya. Chen is heavier than everyone here, but Chen is not being ranked. Goran is faster than Rosa. Tessa is faster than Kira. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.order-v2conf 100% · 291ms · $0.000 · 501 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Goran. Goran is heavier than Jonas. Emil is heavier than Goran. Goran is heavier than Liam. Chen is heavier than Emil. Rosa is heavier than Liam. Goran is heavier than Rosa. Nadir is heavier than Chen. Kira is faster than everyone here, but Kira is not being ranked. Liam is heavier than Jonas. 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 401ms · $0.000 · 188 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 2 in the queue. Chen is directly ahead of Jonas. Ines is directly ahead of Sami. 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:
Samicorrectreasoning.deduction.position-v1conf 100% · 115ms · $0.000 · 177 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Liam. Jonas is directly ahead of Priya. Liam is number 3 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:
Priyacorrectreasoning.deduction.order-v2conf 100% · 96ms · $0.000 · 337 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Goran. Priya is taller than Quinn. Priya is taller than Kira. Dara is taller than Bruno. Kira is taller than Quinn. Ola is older than everyone here, but Ola is not being ranked. Kira is taller than Dara. Goran is taller than Quinn. Bruno is taller than Liam. Dara is taller than Goran. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 103ms · $0.000 · 198 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 4 in the queue. Hana is directly ahead of Priya. Bruno is directly ahead of Ines. Priya is directly ahead of Bruno. 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 410ms · $0.000 · 212 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 4 in the queue. Ines is directly ahead of Sami. Sami is directly ahead of Quinn. Hana is directly ahead of Ines. 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 279ms · $0.000 · 230 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Alice. Jonas is directly ahead of Sami. Alice is number 4 in the queue. Sami is directly ahead of Ola. 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:
Olacorrectreasoning.deduction.order-v2conf 100% · 99ms · $0.000 · 459 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Chen. Alice is taller than Kira. Kira is taller than Sami. Farah is taller than Kira. Farah is taller than Sami. Farah is taller than Sami. Jonas is faster than everyone here, but Jonas is not being ranked. Emil is taller than Farah. Priya is taller than Emil. Chen is taller than Priya. 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:
Priyacorrectreasoning.deduction.order-v2conf 100% · 102ms · $0.000 · 367 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Hana. Emil is taller than Quinn. Mona is taller than Dara. Hana is taller than Quinn. Tessa is taller than Emil. Hana is taller than Liam. Liam is taller than Emil. Dara is taller than Tessa. Liam is taller than Quinn. Sami is older than everyone here, but Sami is not being ranked. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.order-v2conf 100% · 294ms · $0.000 · 420 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Tessa is heavier than Kira. Ola is heavier than Kira. Farah is heavier than Emil. Ola is heavier than Sami. Farah is heavier than Tessa. Goran is heavier than Ola. Rosa is older than everyone here, but Rosa is not being ranked. Sami is heavier than Tessa. Ola is heavier than Kira. Emil is heavier 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:
Samicorrectreasoning.deduction.position-v1conf 100% · 110ms · $0.000 · 167 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Dara. Dara is number 2 in the queue. Ola is directly ahead of Priya. 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:
Priyacorrectreasoning.deduction.order-v2conf 100% · 299ms · $0.000 · 344 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Farah. Ola is faster than Sami. Goran is faster than Rosa. Jonas is faster than Ola. Mona is older than everyone here, but Mona is not being ranked. Ola is faster than Emil. Sami is faster than Emil. Farah is faster than Sami. Ola is faster than Sami. Rosa is faster than Jonas. 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% · 238ms · $0.000 · 166 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. Liam is directly ahead of Sami. 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.position-v1conf 100% · 333ms · $0.000 · 220 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 4 in the queue. Ola is directly ahead of Nadir. Chen is directly ahead of Jonas. Jonas is directly ahead of Ola. 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:
Nadircorrectreasoning.deduction.order-v2conf 100% · 99ms · $0.000 · 368 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Emil. Mona is taller than Sami. Ines is taller than Sami. Tessa is taller than Bruno. Sami is taller than Bruno. Tessa is taller than Ines. Tessa is taller than Sami. Alice is heavier than everyone here, but Alice is not being ranked. Emil is taller than Tessa. Quinn is taller than Mona. 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:
Samicorrectreasoning.deduction.position-v1conf 100% · 369ms · $0.000 · 140 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 2 in the queue. Liam is directly ahead of Sami. Alice is directly ahead of Priya. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.order-v2conf 100% · 130ms · $0.000 · 303 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is faster than everyone here, but Rosa is not being ranked. Mona is taller than Bruno. Ola is taller than Liam. Bruno is taller than Ola. Ola is taller than Sami. Hana is taller than Bruno. Bruno is taller than Liam. Liam is taller than Sami. Mona is taller than Hana. Goran is taller than Mona. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 183ms · $0.000 · 176 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Ola. Farah is number 1 in the queue. Ola is directly ahead of Mona. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.order-v2anchorconf 100% · 257ms · $0.000 · 377 tok
model answer:
Quinncorrectreasoning.deduction.order-v2conf 100% · 117ms · $0.000 · 468 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Liam. Tessa is taller than Mona. Kira is taller than Rosa. Tessa is taller than Kira. Mona is taller than Kira. Ines is faster than everyone here, but Ines is not being ranked. Emil is taller than Tessa. Tessa is taller than Liam. Liam is taller than Quinn. Emil is taller than Kira. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.position-v1anchorconf 100% · 238ms · $0.000 · 176 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 274ms · $0.000 · 233 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 138ms · $0.000 · 187 tok
model answer:
Farahterminal 18/30 correct
correctterminal.fs.tree-v1conf 100% · 1.0s · $0.001 · 1110 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/conf`): ``` /proj/build/index.log /proj/conf/notes.txt /proj/conf/setup.txt /proj/draft.md /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 mv util.log logs/ cd build mv index.log ../../proj/logs/ cd ../../proj/logs mv ../../proj/draft.md ../../proj/build/ cd ../../proj/conf mv ../../proj/logs/util.log ../../proj/logs/setup-9.txt touch ../../proj/util-2.txt mv ../../proj/util-2.txt ../../proj/setup-7.txt cd . touch ../../proj/build/todo-1.log cp ../../proj/setup-7.txt ./ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/draft.md
/proj/build/todo-1.log
/proj/conf/notes.txt
/proj/conf/setup-7.txt
/proj/conf/setup.txt
/proj/logs/index.log
/proj/logs/setup-9.txt
/proj/setup-7.txtwrongterminal.exit.chain-v1conf 100% · 314ms · $0.000 · 20 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q basil notes.txt && echo C || echo D test -f tmp.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:
(none extracted)correctterminal.fs.tree-v1conf 100% · 414ms · $0.001 · 601 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/logs`): ``` /proj/docs/index.txt /proj/docs/notes.log /proj/logs/setup.txt /proj/report.cfg /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp logs/setup.txt ./ rm setup.txt cd docs touch ../../proj/logs/index-9.txt mkdir -p ../../proj/assets-3 mkdir -p ../../proj/logs/docs-2 mkdir -p ../../proj/logs/docs-2/build-4 mv notes.log ../../proj/ cd ../../proj ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/index.txt
/proj/logs/index-9.txt
/proj/logs/setup.txt
/proj/notes.log
/proj/report.cfg
/proj/util.mdcorrectterminal.pipeline.predict-v1conf 100% · 132ms · $0.000 · 410 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,legal,82,17 lou,eng,11,28 cy,sales,97,23 hal,sales,19,10 ned,hr,88,62 jon,sales,16,55 fay,hr,105,60 ana,sales,103,36 kim,eng,81,73 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,103
cy,97
hal,19correctterminal.exit.chain-v1conf 100% · 143ms · $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 grep -q amber notes.txt && echo A || echo B true && echo C || echo D true && echo E || echo F test -f app.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
E
G
exit:1correctterminal.fs.tree-v1conf 100% · 139ms · $0.001 · 722 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/conf`): ``` /proj/conf/notes.txt /proj/draft.cfg /proj/index.md /proj/src/todo.log /proj/src/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 mv src/util.log src/todo-4.cfg touch main-5.log mkdir -p build/docs-2 rm index.md cd src mv ../../proj/draft.cfg ../../proj/draft-7.cfg mkdir -p ../../proj/conf/src-3 rm todo.log cd ../../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/conf/notes.txt
/proj/draft-7.cfg
/proj/main-5.log
/proj/src/todo-4.cfgwrongterminal.pipeline.predict-v1conf 100% · 330ms · $0.000 · 263 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,hr,120,66 oli,ops,94,47 pam,legal,69,87 gus,ops,27,65 cy,ops,72,79 ned,sales,20,46 bo,eng,43,29 lou,eng,71,25 eli,eng,80,18 kim,sales,120,61 hal,hr,42,65 fay,hr,23,45 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
hal,hr,42,65
ana,hr,120,66wrongterminal.exit.chain-v1conf 100% · 335ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F false && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
Z
exit:1correctterminal.pipeline.predict-v1conf 100% · 304ms · $0.000 · 420 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,legal,36,51
kim,sales,88,79
cy,hr,3,59
dev,legal,30,28
eli,ops,17,88
jon,sales,7,17
fay,ops,116,21
lou,eng,107,58
max,ops,35,35
```
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:
66wrongterminal.fs.tree-v1conf 100% · 369ms · $0.001 · 666 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/build`): ``` /proj/build/main.md /proj/build/notes.cfg /proj/docs/util.txt /proj/draft.md /proj/index.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch docs/main-6.cfg rm build/notes.cfg cd docs touch ../../proj/logs/main-3.md mv util.txt ./ mv main-6.cfg draft-4.log touch main-8.txt cd ../../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:
CONFIDENCE: 100wrongterminal.exit.chain-v1conf 100% · 883ms · $0.000 · 23 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 test -f ghost.txt && echo C || echo D true && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
E
G
Z
exit:0correctterminal.fs.tree-v1conf 100% · 107ms · $0.000 · 488 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/assets`): ``` /proj/build/draft.cfg /proj/build/main.md /proj/docs/setup.txt /proj/notes.log /proj/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm build/draft.cfg mkdir -p docs/logs-4 rm docs/setup.txt touch build/todo-9.log cd assets rm ../../proj/util.cfg cd ../../proj/docs touch ../../proj/build/setup-2.cfg cd ../../proj ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/main.md
/proj/build/setup-2.cfg
/proj/build/todo-9.log
/proj/notes.logcorrectterminal.pipeline.predict-v1conf 100% · 348ms · $0.000 · 416 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,sales,51,54
pam,ops,57,42
hal,hr,30,87
cy,hr,5,13
bo,eng,24,25
kim,legal,22,44
fay,sales,40,87
lou,legal,31,22
gus,sales,94,43
```
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:
35correctterminal.pipeline.predict-v1conf 100% · 263ms · $0.000 · 551 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
eli,legal,109,68
hal,ops,29,82
ana,legal,29,52
ivy,sales,76,78
gus,hr,37,26
dev,ops,13,88
lou,eng,69,68
kim,ops,41,46
jon,eng,38,85
cy,sales,101,57
bo,ops,47,90
fay,legal,79,18
max,ops,25,54
```
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:
217wrongterminal.exit.chain-v1conf 100% · 296ms · $0.000 · 22 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f tmp.txt && echo C || echo D test -f tmp.txt && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 262ms · $0.001 · 878 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/build`): ``` /proj/assets/main.log /proj/build/draft.log /proj/docs/todo.txt /proj/index.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv assets/main.log assets/setup-2.log cd docs touch util-4.cfg cd ../../proj/build mv ../../proj/docs/util-4.cfg ../../proj/ mv ../../proj/util-4.cfg ../../proj/util-5.cfg cd . mv draft.log ../../proj/docs/ mv ../../proj/assets/setup-2.log ../../proj/assets/ touch ../../proj/assets/notes-9.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/assets/notes-9.log
/proj/assets/setup-2.log
/proj/docs/draft.log
/proj/docs/todo.txt
/proj/index.md
/proj/util-5.cfg
/proj/util.mdwrongterminal.exit.chain-v1conf 100% · 637ms · $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: amber, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
exit:0correctterminal.fs.tree-v1conf 100% · 157ms · $0.001 · 773 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/conf`): ``` /proj/conf/index.txt /proj/draft.txt /proj/setup.cfg /proj/src/todo.txt /proj/src/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv draft.txt src/ mkdir -p docs/logs-9 cp conf/index.txt docs/ mv src/util.cfg ./ cp src/draft.txt docs/logs-9/ cp setup.cfg docs/ cp setup.cfg conf/ cd docs/logs-9 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/index.txt
/proj/conf/setup.cfg
/proj/docs/index.txt
/proj/docs/logs-9/draft.txt
/proj/docs/setup.cfg
/proj/setup.cfg
/proj/src/draft.txt
/proj/src/todo.txt
/proj/util.cfgcorrectterminal.pipeline.predict-v1conf 100% · 96ms · $0.000 · 429 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
max,sales,66,33
ned,eng,32,66
hal,legal,6,20
bo,eng,4,36
kim,sales,14,62
jon,sales,43,69
fay,sales,89,87
dev,eng,64,74
ana,eng,7,22
gus,legal,117,96
```
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:
123correctterminal.pipeline.predict-v1conf 100% · 241ms · $0.000 · 518 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,hr,99,69
gus,eng,117,91
bo,ops,73,19
ivy,eng,78,95
eli,ops,53,50
kim,legal,48,24
ana,ops,101,91
hal,sales,25,31
oli,hr,70,26
fay,sales,76,51
ned,ops,64,79
jon,legal,31,61
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 59 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
2correctterminal.exit.chain-v1conf 100% · 272ms · $0.000 · 23 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 grep -q coral notes.txt && echo A || echo B test -f ghost.txt && echo C || echo D false && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
H
Z
exit:0correctterminal.fs.tree-v1conf 100% · 835ms · $0.001 · 835 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/conf/draft.md /proj/index.cfg /proj/src/notes.cfg /proj/src/report.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 src/report.txt conf/ rm src/report.txt touch build/main-8.log cd conf mv draft.md ../../proj/src/ rm ../../proj/src/notes.cfg touch ../../proj/src/main-5.txt mkdir -p docs-9 touch docs-9/main-7.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/main-8.log
/proj/conf/docs-9/main-7.txt
/proj/conf/report.txt
/proj/index.cfg
/proj/src/draft.md
/proj/src/main-5.txt
/proj/todo.txtwrongterminal.fs.tree-v1conf 100% · 288ms · $0.001 · 587 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/docs`): ``` /proj/assets/notes.md /proj/build/util.txt /proj/docs/todo.md /proj/draft.log /proj/main.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p build/assets-7 cd build cp ../../proj/main.log assets-7/ rm assets-7/main.log cd ../../proj/assets touch ../../proj/build/assets-7/index-6.cfg cd ../../proj cp draft.log 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:
CONFIDENCE: 100wrongterminal.pipeline.predict-v1conf 100% · 351ms · $0.000 · 387 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,hr,22,91 ana,sales,19,84 gus,eng,61,24 dev,hr,42,62 oli,ops,30,98 ivy,sales,65,95 pam,hr,4,32 cy,ops,46,78 hal,legal,57,29 jon,hr,21,86 bo,hr,103,67 kim,hr,52,30 eli,eng,18,58 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' 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:
is incorrect because `tail -n 2` will not output anything.
The correct output is:correctterminal.exit.chain-v1conf 100% · 101ms · $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, coral (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f app.txt && echo C || echo D grep -q basil 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.exit.chain-v1conf 100% · 168ms · $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: basil, coral (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B true && echo C || echo D test -f 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:0wrongterminal.fs.tree-v1anchorconf 100% · 464ms · $0.001 · 602 tok
model answer:
CONFIDENCE: 100wrongterminal.pipeline.predict-v1anchorconf 100% · 283ms · $0.000 · 33 tok
model answer:
cy,eng,115,45
dev,eng,81,95
eli,eng,60,55wrongterminal.exit.chain-v1anchorconf 100% · 458ms · $0.000 · 22 tok
model answer:
(none extracted)correctterminal.pipeline.predict-v1anchorconf 100% · 403ms · $0.000 · 470 tok
model answer:
1vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 205 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:
49correctvision.ocr.code-hunt-v1conf 100% · 987ms · $0.000 · 49 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
39M7P7correctvision.ocr.table-read-v1conf 100% · 404ms · $0.000 · 153 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90correctvision.ocr.table-read-v1conf 100% · 471ms · $0.000 · 168 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:
25correctvision.ocr.code-hunt-v1conf 100% · 769ms · $0.000 · 46 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D9PT43correctvision.ocr.table-read-v1conf 100% · 681ms · $0.000 · 184 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:
12correctvision.ocr.code-hunt-v1conf 100% · 175ms · $0.000 · 64 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:
RK973TXcorrectvision.ocr.code-hunt-v1conf 100% · 1.4s · $0.000 · 132 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UMWNJT4correctvision.ocr.table-read-v1conf 100% · 375ms · $0.000 · 192 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:
94correctvision.ocr.table-read-v1conf 100% · 422ms · $0.000 · 177 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:
44correctvision.ocr.code-hunt-v1conf 100% · 374ms · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AE9XETRcorrectvision.ocr.table-read-v1conf 100% · 304ms · $0.000 · 166 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:
77correctvision.ocr.code-hunt-v1conf 100% · 518ms · $0.000 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
W7NYTXcorrectvision.ocr.table-read-v1conf 100% · 437ms · $0.000 · 167 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:
60correctvision.ocr.table-read-v1conf 100% · 567ms · $0.000 · 178 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:
28correctvision.ocr.code-hunt-v1conf 100% · 139ms · $0.000 · 14 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:
U9EVWHcorrectvision.ocr.code-hunt-v1conf 100% · 482ms · $0.000 · 48 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:
M9WFXD4correctvision.ocr.table-read-v1conf 100% · 115ms · $0.000 · 196 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:
22correctvision.ocr.code-hunt-v1conf 100% · 490ms · $0.000 · 48 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
RY397Ycorrectvision.ocr.table-read-v1conf 100% · 365ms · $0.000 · 171 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:
76correctvision.ocr.code-hunt-v1conf 100% · 534ms · $0.000 · 50 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:
E3A9YMAcorrectvision.ocr.table-read-v1conf 100% · 240ms · $0.000 · 171 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
91correctvision.ocr.code-hunt-v1conf 100% · 456ms · $0.000 · 25 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HYNDXP43correctvision.ocr.table-read-v1anchorconf 100% · 1.0s · $0.000 · 158 tok
model answer:
25correctvision.ocr.code-hunt-v1conf 100% · 268ms · $0.000 · 49 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:
4F49UMPXcorrectvision.ocr.table-read-v1conf 100% · 481ms · $0.000 · 148 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:
186correctvision.ocr.table-read-v1anchorconf 100% · 242ms · $0.000 · 117 tok
model answer:
15correctvision.ocr.code-hunt-v1conf 100% · 128ms · $0.000 · 15 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:
DM3KKUYHcorrectvision.ocr.code-hunt-v1anchorconf 100% · 337ms · $0.000 · 14 tok
model answer:
VX7993Dcorrectvision.ocr.code-hunt-v1anchorconf 100% · 1.9s · $0.000 · 32 tok
model answer:
YH9E4AWPRun history
- 2026-08-05v0.2.0index_fit698
- 2026-08-05v0.2.0index_fit698
- 2026-08-05v0.2.0index_fit698
- 2026-08-05v0.2.0index_fit700
- 2026-08-05v0.2.0index_fit701
- 2026-08-05v0.2.0index_fit704
- 2026-08-05v0.2.0index_fit705
- 2026-08-05v0.2.0index_fit708
- 2026-08-05v0.2.0index_fit709
- 2026-08-05v0.2.0index_fit710
- 2026-08-05v0.2.0index_fit711
- 2026-08-05v0.2.0index_fit708
- 2026-08-05v0.2.0index_fit707
- 2026-08-05v0.2.0index_fit707
- 2026-08-05v0.2.0index_fit708
- 2026-08-05v0.2.0index_fit710
- 2026-08-05v0.2.0index_fit710
- 2026-08-05v0.2.0index_fit709
- 2026-08-05v0.2.0index_fit708
- 2026-08-05v0.2.0index_fit706