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moonshotai/kimi-k3 · moonshotai · context 1 048 576 · in $3.00/1M · out $15.00/1M

Global Index

812

95% CI [757867] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic863 [772953]
0.8450.711.000.0003.1s$23.23
code875 [754996]
0.7921.001.000.0003.4s$12.96
instruction following841 [711971]
0.7810.821.000.0002.7s$8.95
knowledge723 [551894]
0.5420.981.000.0003.2s$2.80
math834 [677991]
0.7231.001.000.0003.4s$6.89
multilingual819 [654983]
0.6981.001.000.0002.9s$5.91
vision ocr729 [565893]
0.5620.980.940.0004.2s$5.89

Every answer, every test

Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.

agentic 29/30 correct
TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1conf · · · tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (291 records, format: id|customer|region|item|qty|status):
```
1976|birch|east|frame|47|paid
1303|fulton|east|cable|93|shipped
1711|cobalt|north|rotor|18|held
2033|dorian|north|panel|49|paid
1747|dorian|west|valve|80|held
1935|harbor|west|panel|97|held
2071|cobalt|west|sensor|61|held
2303|harbor|east|valve|66|shipped
1415|ionic|west|valve|21|shipped
2130|fulton|west|cable|42|held
1369|juno|east|sensor|88|held
2267|cobalt|south|cable|31|paid
1596|juno|north|gasket|15|shipped
1306|harbor|east|gasket|14|paid
2287|ionic|west|frame|87|paid
2016|dorian|south|rotor|11|pending
1421|harbor|east|valve|56|shipped
2147|fulton|west|rotor|52|pending
1656|fulton|west|panel|59|shipped
1198|acme|east|gasket|96|held
2233|gale|south|panel|18|held
1812|gale|east|gasket|38|paid
1391|acme|west|frame|50|shipped
1252|harbor|west|pump|16|paid
2069|acme|south|gasket|15|held
2261|dorian|west|valve|17|shipped
2104|gale|south|sensor|24|paid
1377|juno|north|panel|55|pending
1331|dorian|north|cable|50|pending
1170|acme|east|sensor|46|pending
2058|ionic|east|valve|39|paid
2011|acme|east|panel|94|paid
1326|juno|south|valve|49|held
2184|ionic|east|pump|72|held
1745|harbor|west|valve|97|pending
1820|acme|south|panel|17|paid
2115|acme|north|rotor|66|held
1886|juno|south|gasket|66|shipped
1733|cobalt|west|pump|65|pending
1907|harbor|east|frame|73|shipped
1585|cobalt|west|sensor|32|held
1666|juno|west|gasket|98|paid
1946|gale|south|valve|30|paid
1461|fulton|east|gasket|91|pending
1592|acme|south|cable|11|pending
1209|acme|west|valve|59|pending
1776|birch|east|frame|82|held
1371|ember|south|pump|85|paid
1923|acme|west|gasket|30|pending
1924|dorian|north|pump|77|held
1374|acme|west|frame|85|paid
1731|juno|west|rotor|60|shipped
1756|gale|south|cable|93|paid
2034|gale|east|rotor|54|paid
1522|ionic|south|rotor|54|held
1898|birch|south|sensor|21|pending
1386|harbor|south|pump|16|held
1872|acme|north|gasket|19|paid
1576|fulton|north|panel|71|shipped
1315|juno|south|cable|25|pending
1932|ionic|east|frame|81|paid
1627|fulton|east|panel|74|paid
1448|juno|south|gasket|92|paid
1909|harbor|east|gasket|46|held
1741|acme|north|valve|91|held
1597|acme|east|rotor|42|pending
1516|gale|north|frame|98|shipped
1572|cobalt|west|rotor|57|held
2105|birch|north|gasket|37|held
1734|dorian|south|sensor|58|shipped
1384|cobalt|west|rotor|36|shipped
2054|juno|west|sensor|16|paid
2186|acme|north|valve|45|held
2041|cobalt|east|panel|63|pending
2082|harbor|south|panel|59|held
1836|fulton|north|pump|36|paid
2271|acme|east|gasket|70|paid
1906|acme|west|rotor|31|pending
1455|gale|south|gasket|46|pending
1640|ember|north|panel|36|pending
1842|gale|north|gasket|98|pending
2219|acme|north|valve|63|paid
1240|gale|north|valve|42|pending
1409|dorian|south|pump|55|shipped
1749|ember|west|rotor|51|paid
1616|dorian|north|rotor|95|shipped
1651|dorian|west|gasket|29|shipped
1856|dorian|west|frame|87|held
1168|acme|east|frame|68|held
1274|gale|west|panel|42|pending
1287|acme|north|sensor|41|shipped
1365|cobalt|east|rotor|24|shipped
2196|birch|west|gasket|23|shipped
1973|acme|south|frame|34|shipped
2214|ionic|south|valve|99|shipped
1706|harbor|east|panel|22|held
1771|gale|west|panel|73|pending
1825|harbor|east|panel|56|paid
1569|acme|north|frame|26|paid
2241|cobalt|east|valve|68|paid
1951|acme|west|valve|66|shipped
1970|birch|south|cable|16|shipped
1298|gale|north|sensor|97|pending
1549|acme|south|pump|22|shipped
2157|fulton|east|cable|37|pending
1467|acme|west|panel|78|shipped
1866|harbor|east|valve|32|paid
2294|ember|south|pump|72|pending
2289|dorian|west|valve|32|shipped
2216|dorian|south|valve|81|held
2208|ember|east|gasket|18|shipped
1166|acme|east|panel|84|pending
2126|dorian|east|pump|43|pending
2291|juno|south|rotor|17|shipped
2191|cobalt|west|panel|42|paid
1482|acme|west|gasket|33|pending
1350|harbor|east|rotor|18|held
1322|birch|north|valve|94|pending
2236|gale|north|cable|20|held
2085|birch|north|rotor|55|paid
1344|gale|north|sensor|82|pending
1554|gale|east|panel|54|pending
2174|ember|east|cable|59|held
1293|gale|west|pump|14|pending
1556|harbor|north|rotor|90|held
1650|birch|west|frame|82|paid
1705|harbor|north|frame|60|pending
2074|harbor|east|frame|21|shipped
1700|birch|west|pump|76|paid
2002|fulton|west|sensor|17|held
1996|dorian|north|frame|47|shipped
1260|ionic|south|sensor|54|pending
2207|ember|west|sensor|56|shipped
1720|cobalt|north|panel|20|shipped
1941|dorian|east|sensor|29|paid
1773|ember|east|panel|73|paid
2007|juno|east|panel|40|held
1536|harbor|east|pump|44|shipped
1767|acme|west|panel|44|pending
1804|fulton|north|rotor|68|held
1575|birch|west|cable|42|shipped
1669|ember|west|gasket|21|shipped
1229|juno|west|gasket|30|paid
1660|fulton|north|panel|42|shipped
1360|ember|west|gasket|23|pending
2190|acme|north|sensor|12|held
2250|ember|north|pump|18|held
2095|ionic|west|sensor|39|held
1622|ionic|west|gasket|97|held
1547|fulton|south|panel|42|held
1882|birch|east|gasket|22|held
1393|juno|west|valve|43|paid
1969|dorian|south|gasket|43|pending
1931|gale|east|gasket|37|held
1680|dorian|west|rotor|70|shipped
1860|gale|east|sensor|36|held
1815|cobalt|east|pump|56|held
1510|dorian|south|gasket|56|shipped
2092|acme|east|pump|22|shipped
1417|ionic|east|gasket|45|paid
1688|cobalt|south|gasket|15|paid
1881|cobalt|south|valve|53|shipped
2080|fulton|east|pump|30|pending
2120|acme|east|panel|38|paid
1783|birch|west|valve|73|paid
1826|juno|south|frame|60|held
1222|gale|south|sensor|52|paid
1563|ember|east|pump|23|held
1789|cobalt|west|rotor|11|paid
1948|juno|south|panel|43|paid
1963|ember|east|valve|91|pending
1634|harbor|west|cable|69|pending
2022|juno|south|sensor|56|shipped
1611|juno|south|pump|86|held
1180|acme|east|frame|50|paid
2047|harbor|west|rotor|36|pending
1782|dorian|south|rotor|33|pending
1280|juno|south|cable|13|pending
1185|acme|east|cable|79|pending
1902|juno|south|rotor|57|held
1630|birch|south|sensor|57|pending
2118|birch|west|rotor|13|shipped
2306|fulton|north|valve|99|shipped
1308|ionic|east|cable|57|held
1215|acme|east|panel|87|paid
1435|gale|north|panel|50|paid
1693|harbor|east|sensor|74|held
1236|gale|north|valve|81|pending
1725|juno|west|panel|53|paid
2152|ionic|south|frame|24|paid
2099|birch|west|panel|78|paid
1761|acme|north|cable|93|paid
1884|juno|south|pump|81|held
1807|ember|east|frame|77|paid
2134|ionic|east|rotor|62|held
1662|fulton|north|valve|51|pending
1246|cobalt|north|valve|76|paid
1253|harbor|east|cable|65|paid
2125|dorian|north|rotor|89|shipped
1410|fulton|south|rotor|79|shipped
1958|ember|east|frame|91|pending
1581|ionic|south|sensor|94|shipped
2132|birch|west|frame|48|shipped
1394|acme|west|cable|73|shipped
1500|dorian|east|sensor|14|held
1434|juno|east|pump|42|held
2102|ionic|west|pump|40|pending
1614|birch|west|cable|73|paid
1278|birch|east|valve|34|pending
1676|birch|south|frame|41|pending
1503|fulton|north|cable|71|held
1905|ionic|west|cable|84|held
1718|harbor|east|gasket|36|shipped
1643|ionic|west|cable|38|paid
1283|harbor|west|sensor|88|held
1474|gale|west|sensor|21|pending
1787|ember|east|frame|47|pending
1299|gale|east|panel|39|shipped
1847|gale|south|cable|34|held
2037|juno|east|panel|12|shipped
2245|juno|west|sensor|33|held
2167|dorian|north|gasket|25|pending
2217|ionic|south|sensor|87|paid
2260|ionic|north|pump|76|held
1453|ionic|west|cable|24|paid
1550|birch|north|cable|90|paid
1988|harbor|south|panel|40|pending
2283|dorian|east|sensor|66|pending
1494|dorian|north|rotor|36|shipped
1332|cobalt|west|frame|92|paid
2307|acme|south|gasket|84|paid
1489|fulton|south|pump|47|shipped
2200|acme|west|gasket|10|pending
1395|juno|west|rotor|82|held
2298|cobalt|west|frame|13|held
2277|ionic|east|panel|67|held
1475|acme|south|pump|14|pending
1604|acme|east|sensor|21|shipped
1645|cobalt|west|pump|45|paid
2253|dorian|north|frame|47|paid
1917|birch|east|panel|39|paid
1995|ember|east|frame|87|held
1305|acme|north|gasket|80|held
1893|juno|south|frame|67|pending
1792|cobalt|east|sensor|12|pending
2112|cobalt|west|pump|75|held
1426|fulton|south|sensor|40|shipped
2226|ionic|east|valve|85|shipped
1795|harbor|south|rotor|96|held
2206|fulton|south|cable|15|shipped
1357|dorian|north|gasket|79|paid
1832|cobalt|south|panel|45|paid
2029|harbor|west|pump|15|paid
1763|acme|south|rotor|19|paid
1759|juno|west|gasket|60|shipped
1402|cobalt|north|rotor|39|paid
1192|acme|north|gasket|45|pending
2055|ionic|north|cable|85|shipped
1508|cobalt|south|sensor|19|shipped
1683|fulton|north|gasket|74|shipped
2153|gale|north|pump|91|shipped
1202|acme|east|panel|31|pending
1491|acme|east|pump|53|held
1879|dorian|west|sensor|63|paid
1431|acme|east|sensor|45|held
2180|harbor|south|panel|65|paid
1449|gale|east|panel|15|pending
2140|dorian|east|valve|50|shipped
2063|fulton|east|sensor|93|held
1910|ionic|west|valve|49|paid
2252|cobalt|east|valve|51|pending
1981|ember|north|sensor|88|paid
2244|birch|west|rotor|17|paid
1752|juno|south|gasket|76|held
1441|juno|north|panel|17|paid
1671|dorian|west|panel|39|pending
2313|cobalt|north|panel|52|pending
1529|acme|north|pump|11|held
1338|gale|west|frame|28|shipped
1267|gale|west|frame|42|pending
1663|ionic|east|rotor|98|held
2163|acme|east|sensor|13|pending
2073|harbor|south|sensor|96|held
1540|cobalt|west|valve|93|paid
1167|acme|west|rotor|77|pending
2051|birch|south|panel|11|shipped
1481|acme|west|frame|87|paid
1802|dorian|north|frame|81|pending
1528|juno|east|frame|12|held
1175|acme|west|frame|12|pending
1849|birch|south|valve|90|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.ledger-v1conf 100% · 1.5s · $0.010 · 585 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $631
- bravo: $381
- kilo: $875

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $311 from "kilo" to "bravo"
2. pay $322 from "kilo" to "bravo"
3. pay $131 from "echo" to "kilo"
4. pay $148 from "echo" 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": "kilo", "to": "bravo", "amount": 311}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 322}}, {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 131}}, {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 148}} ]
correctagentic.tools.triage-v1conf 100% · 3.7s · $0.025 · 1526 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 → haddad
- data → novak
- auth → silva

INCIDENTS:
1. "API latency spikes" (category: infra, priority 2)
2. "export file corrupted" (category: data, priority 9)
3. "cannot reset password" (category: auth, priority 4)
4. "cannot reset password" (category: auth, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}} ]
correctagentic.tools.deploy-v1conf 100% · 2.7s · $0.009 · 537 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}} ]
correctagentic.tools.ledger-v1conf 100% · 3.2s · $0.012 · 704 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $319
- lima: $245
- alpha: $375

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $113 from "kilo" to "lima"
2. pay $260 from "kilo" to "lima"
3. pay $290 from "alpha" to "kilo"
4. pay $94 from "alpha" 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": "kilo", "to": "lima", "amount": 113}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 54}}, {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 260}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 290}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 9}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 94}} ]
correctagentic.tools.context-load-v1conf 100% · 3.4s · $0.061 · 3290 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 (237 records, format: id|customer|region|item|qty|status):
```
1746|birch|north|cable|89|pending
1627|ionic|west|panel|60|held
1601|ember|east|sensor|33|pending
2003|cobalt|south|panel|71|pending
1402|ember|east|rotor|28|shipped
1781|harbor|east|pump|90|paid
1419|gale|west|valve|38|shipped
1346|gale|north|frame|33|paid
1658|harbor|west|gasket|85|paid
1215|dorian|north|rotor|40|shipped
1337|harbor|west|pump|57|held
1832|acme|east|sensor|30|held
1715|gale|north|frame|69|shipped
2024|ionic|south|frame|37|paid
1543|birch|west|cable|59|pending
1985|ionic|east|pump|14|pending
1510|ionic|east|valve|16|held
1875|acme|north|gasket|68|shipped
1936|gale|west|sensor|87|shipped
2046|acme|north|sensor|42|held
1671|ember|west|pump|32|held
1817|fulton|east|valve|57|shipped
1161|cobalt|south|valve|11|held
1121|harbor|south|rotor|60|held
1760|ionic|west|panel|95|paid
1240|ember|north|rotor|64|held
1271|juno|north|rotor|64|pending
1332|juno|north|frame|40|paid
1198|ember|north|pump|51|paid
1488|gale|west|pump|48|shipped
1502|ionic|west|cable|83|held
1500|gale|north|gasket|70|shipped
1430|ember|west|pump|92|pending
1262|birch|west|gasket|56|held
1910|cobalt|north|sensor|33|shipped
1242|cobalt|west|frame|52|pending
1927|cobalt|south|gasket|13|held
1226|dorian|north|valve|71|shipped
2014|ember|east|valve|43|pending
1546|birch|west|sensor|69|pending
1684|dorian|west|panel|15|shipped
1964|dorian|east|panel|60|pending
1453|ionic|south|gasket|46|paid
1183|harbor|north|sensor|29|shipped
1618|birch|east|panel|86|pending
1120|harbor|east|rotor|80|pending
1140|juno|north|frame|90|held
1774|ionic|west|panel|28|paid
1563|harbor|south|panel|19|pending
1232|harbor|north|rotor|39|held
1678|acme|west|valve|64|pending
1674|acme|south|rotor|39|pending
1424|acme|south|pump|75|held
1256|acme|east|valve|57|pending
1755|fulton|south|pump|84|held
1409|gale|west|frame|60|paid
1943|juno|north|frame|48|pending
1972|ionic|south|sensor|88|pending
1555|ionic|north|panel|66|paid
1871|gale|east|cable|43|held
1784|harbor|south|panel|48|pending
1416|acme|west|valve|66|paid
1520|fulton|north|frame|36|paid
1477|ionic|west|gasket|83|held
1306|harbor|north|pump|37|pending
1786|juno|west|cable|30|shipped
1190|dorian|east|sensor|59|pending
1552|juno|south|frame|42|shipped
1233|cobalt|south|cable|45|paid
1395|birch|north|sensor|10|pending
1093|harbor|south|cable|51|held
1745|birch|west|cable|85|paid
1098|harbor|south|sensor|57|pending
1336|harbor|west|valve|37|held
1625|ionic|south|frame|34|pending
1340|ionic|south|sensor|74|held
1588|dorian|north|cable|10|paid
1675|birch|north|pump|86|held
1867|birch|east|sensor|50|shipped
1299|harbor|east|pump|45|shipped
1581|birch|south|cable|15|pending
1962|fulton|east|cable|29|paid
1771|dorian|east|pump|17|held
1351|ionic|south|pump|35|paid
1108|harbor|south|pump|40|shipped
1527|juno|south|gasket|95|paid
1654|birch|south|gasket|10|held
1634|gale|east|rotor|21|shipped
1349|ember|west|valve|65|shipped
1492|acme|west|frame|91|paid
1148|juno|east|frame|48|paid
1777|cobalt|east|sensor|20|pending
1479|dorian|east|rotor|77|pending
1287|ember|north|sensor|97|pending
1737|fulton|south|gasket|57|held
1089|harbor|west|gasket|24|pending
1315|dorian|west|cable|26|shipped
1705|harbor|north|rotor|73|held
1405|gale|north|rotor|56|shipped
1222|fulton|north|valve|92|shipped
1167|cobalt|south|valve|54|pending
1721|ionic|east|valve|32|held
1280|juno|west|cable|96|held
1597|ember|north|cable|21|pending
1812|acme|east|frame|55|paid
1265|cobalt|west|sensor|53|shipped
1535|harbor|north|cable|48|paid
1125|ember|south|valve|39|held
1154|cobalt|south|panel|95|held
1807|acme|west|rotor|27|held
1727|ionic|east|sensor|97|paid
1568|acme|west|frame|15|held
1922|cobalt|west|frame|22|held
1408|dorian|north|rotor|89|shipped
1593|gale|south|sensor|30|held
1969|dorian|east|frame|56|pending
1404|birch|west|rotor|49|shipped
1691|cobalt|west|valve|73|pending
1612|dorian|west|valve|45|paid
1750|gale|east|sensor|41|shipped
1547|ember|south|pump|27|paid
1325|harbor|south|pump|82|pending
1823|cobalt|east|rotor|13|shipped
1087|harbor|south|gasket|78|pending
1840|birch|south|cable|65|shipped
1638|dorian|north|sensor|55|paid
1446|ionic|south|frame|66|paid
1934|gale|east|rotor|46|pending
1469|dorian|east|sensor|21|held
1540|ember|south|valve|14|held
1942|acme|west|gasket|61|paid
1278|juno|north|frame|84|paid
1955|cobalt|north|panel|45|held
1710|dorian|east|rotor|10|shipped
1506|fulton|south|gasket|74|paid
1997|cobalt|north|rotor|61|shipped
1177|fulton|north|frame|11|held
1356|birch|west|rotor|28|shipped
1235|birch|north|pump|97|held
1461|acme|south|sensor|66|shipped
1363|dorian|south|gasket|60|held
1741|cobalt|west|sensor|58|held
1301|dorian|east|sensor|85|held
1250|cobalt|south|panel|87|pending
1211|cobalt|west|valve|66|shipped
1609|fulton|west|sensor|89|shipped
1592|ionic|west|cable|37|pending
1407|ember|west|panel|90|paid
1128|acme|south|frame|66|held
2018|acme|south|frame|19|shipped
1122|ionic|north|valve|53|shipped
1313|birch|west|valve|81|pending
1113|harbor|south|frame|84|pending
1312|dorian|north|frame|47|held
1441|harbor|north|panel|79|paid
1551|harbor|north|pump|57|shipped
1214|birch|south|frame|77|pending
1132|acme|east|cable|11|shipped
1439|cobalt|east|gasket|36|shipped
1470|acme|north|gasket|85|held
1828|fulton|east|cable|74|shipped
1887|birch|south|gasket|11|paid
2039|birch|south|gasket|11|held
1945|ionic|east|cable|74|pending
1528|birch|east|frame|15|paid
1900|birch|north|frame|83|held
2032|acme|north|pump|78|pending
1783|ionic|east|valve|42|pending
2041|harbor|west|panel|77|shipped
1205|fulton|north|rotor|41|shipped
2012|cobalt|west|cable|20|pending
1436|acme|north|panel|49|shipped
1824|birch|east|valve|60|shipped
1694|dorian|south|rotor|69|shipped
1556|fulton|south|frame|70|shipped
1650|cobalt|north|gasket|31|held
1513|harbor|north|valve|69|held
1605|ionic|south|sensor|43|held
1388|juno|east|sensor|60|pending
1917|gale|east|panel|79|shipped
1538|fulton|south|cable|25|held
1712|harbor|south|sensor|67|pending
1848|juno|south|rotor|75|shipped
1643|birch|south|rotor|62|pending
1976|juno|north|rotor|76|paid
1483|cobalt|south|valve|98|pending
1844|ember|north|frame|44|shipped
1778|gale|west|pump|89|pending
1850|fulton|west|cable|23|shipped
1377|birch|south|cable|54|paid
1800|ember|west|valve|26|paid
1981|harbor|west|valve|20|paid
1504|dorian|south|gasket|70|shipped
2031|acme|south|valve|36|paid
1859|fulton|south|sensor|16|pending
1590|fulton|west|valve|74|pending
1756|ember|east|rotor|33|held
1316|harbor|east|pump|62|paid
1665|acme|east|sensor|58|held
1466|ember|south|valve|42|pending
1575|gale|west|cable|19|shipped
1767|harbor|north|rotor|48|paid
1894|ionic|west|valve|92|held
1193|birch|south|cable|93|shipped
1898|dorian|south|frame|78|pending
1343|ember|north|panel|67|shipped
1788|cobalt|east|frame|47|paid
1323|ionic|west|gasket|41|paid
1171|fulton|north|pump|63|shipped
1907|ember|west|sensor|14|pending
2006|acme|east|gasket|70|pending
1457|ember|east|pump|30|held
1700|dorian|west|pump|57|shipped
1384|fulton|west|sensor|99|pending
1794|ember|south|rotor|88|paid
1370|cobalt|south|panel|85|paid
1882|ember|west|panel|27|paid
1539|gale|west|pump|82|shipped
1863|birch|south|gasket|58|shipped
1248|gale|west|sensor|47|paid
1310|dorian|north|gasket|94|shipped
1835|juno|west|frame|82|paid
1293|birch|west|sensor|78|held
1952|dorian|west|valve|83|pending
1602|acme|east|cable|13|paid
1926|juno|west|valve|38|paid
1736|cobalt|east|cable|83|pending
1105|harbor|east|panel|93|pending
1133|ionic|south|rotor|36|held
1496|fulton|east|frame|89|shipped
1990|fulton|north|gasket|77|held
1732|fulton|west|cable|37|held
1295|fulton|north|rotor|13|held
1147|birch|west|valve|24|paid
1857|ionic|south|valve|38|paid
1328|harbor|north|rotor|26|shipped
1364|juno|east|gasket|31|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 49, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"gasket","qty":78}}, {"tool":"restock","args":{"item":"sensor","qty":57}}, {"tool":"restock","args":{"item":"frame","qty":84}}, {"tool":"restock","args":{"item":"pump","qty":82}}, {"tool":"cancel_order","args":{"order_id":1563}}, {"tool":"restock","args":{"item":"sensor","qty":67}}, {"tool":"cancel_order","args":{"order_id":1784}} ]
correctagentic.tools.triage-v1conf 100% · 3.3s · $0.020 · 1183 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 → haddad
- auth → okafor
- payments → rivera

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "SSO loop on login" (category: auth, priority 4)
3. "uploads failing intermittently" (category: infra, priority 8)
4. "webhooks not delivered" (category: infra, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "uploads failing intermittently", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "SSO loop on login", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "uploads failing intermittently", "priority": 8 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-4" } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "haddad" } } ]
correctagentic.tools.context-load-v1conf 100% · 2.9s · $0.047 · 2451 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 (203 records, format: id|customer|region|item|qty|status):
```
1653|ember|east|sensor|48|held
1586|juno|south|frame|72|held
2113|birch|east|valve|78|shipped
2051|gale|north|pump|26|shipped
1459|ember|north|gasket|75|shipped
1575|acme|east|frame|18|paid
2030|ember|south|panel|26|paid
1642|acme|north|cable|75|pending
2017|dorian|north|pump|28|paid
1547|harbor|south|sensor|27|pending
1630|gale|south|gasket|48|held
1458|gale|north|rotor|56|shipped
2071|harbor|south|frame|76|paid
1792|acme|west|rotor|34|held
1802|cobalt|south|rotor|87|paid
1945|cobalt|west|rotor|26|shipped
1541|gale|east|frame|56|pending
1867|cobalt|west|frame|86|held
1771|juno|north|valve|67|held
1960|acme|north|sensor|22|pending
1772|birch|east|pump|43|pending
2098|fulton|east|valve|66|shipped
1911|birch|east|sensor|91|pending
1681|birch|east|pump|38|shipped
1753|cobalt|west|pump|21|shipped
2154|acme|north|panel|48|pending
1401|gale|north|panel|72|pending
1797|cobalt|south|valve|68|shipped
2118|birch|east|cable|51|paid
2004|gale|north|pump|61|shipped
1783|ember|south|gasket|64|paid
1473|harbor|south|rotor|73|pending
1722|ionic|south|valve|77|shipped
2146|juno|south|cable|29|pending
1375|acme|east|sensor|42|pending
1479|birch|east|gasket|57|paid
1359|acme|east|cable|66|pending
2090|birch|south|frame|71|pending
1821|ember|east|pump|75|held
1846|juno|south|sensor|16|shipped
1485|harbor|north|rotor|85|pending
1387|acme|east|panel|98|pending
1654|ember|north|gasket|31|paid
1918|ember|south|cable|43|shipped
2048|dorian|west|pump|88|pending
2058|dorian|north|frame|39|paid
1393|acme|east|sensor|54|held
1568|gale|east|frame|26|held
1389|acme|west|valve|34|pending
1437|gale|south|frame|68|shipped
1997|acme|south|valve|99|paid
2025|ionic|east|valve|83|shipped
1409|fulton|south|frame|42|shipped
1596|acme|west|rotor|86|held
1517|gale|north|sensor|43|paid
1754|juno|north|panel|25|held
1384|acme|east|pump|97|paid
2002|gale|east|cable|34|paid
2148|fulton|east|panel|48|paid
1817|cobalt|east|cable|11|pending
1518|cobalt|south|pump|73|pending
1933|ember|west|gasket|54|shipped
1684|ember|east|gasket|57|shipped
1839|dorian|north|valve|79|pending
2031|cobalt|north|frame|43|paid
1782|ionic|east|valve|52|held
1670|cobalt|north|panel|29|pending
1397|ionic|south|frame|27|paid
1826|gale|south|valve|81|paid
1919|juno|south|rotor|60|paid
1533|dorian|west|panel|97|shipped
1787|juno|west|frame|26|pending
1853|acme|east|valve|12|shipped
2142|ember|east|valve|49|pending
1966|ionic|west|frame|77|pending
1964|ionic|north|frame|95|pending
1623|harbor|south|valve|23|shipped
2073|harbor|east|panel|26|pending
1591|acme|north|panel|79|held
1449|fulton|east|cable|46|shipped
1677|harbor|west|frame|81|shipped
1860|juno|west|gasket|14|shipped
2086|ember|north|panel|47|shipped
1406|acme|north|frame|94|held
2013|harbor|west|sensor|40|paid
1991|acme|east|sensor|36|shipped
1701|gale|east|panel|44|pending
1565|harbor|west|frame|54|pending
1988|dorian|west|frame|54|paid
2015|dorian|west|sensor|71|paid
2007|birch|south|pump|69|held
2125|harbor|east|rotor|37|pending
1534|harbor|north|rotor|72|paid
1898|acme|south|gasket|81|held
1716|juno|south|cable|76|held
1425|ionic|south|panel|17|paid
1708|fulton|west|valve|33|held
1411|birch|east|gasket|79|pending
1640|ionic|west|valve|82|paid
1688|ember|south|cable|61|shipped
1855|gale|north|cable|70|shipped
1451|harbor|south|sensor|59|pending
1403|juno|east|pump|83|shipped
1917|gale|north|gasket|43|held
1429|cobalt|west|panel|50|held
1729|birch|west|pump|17|shipped
1735|dorian|east|valve|98|paid
2079|dorian|south|sensor|25|pending
1878|juno|north|rotor|30|held
2175|juno|west|cable|73|held
1494|acme|east|valve|75|held
1659|acme|north|valve|59|paid
1526|juno|east|frame|80|pending
1921|juno|east|rotor|61|held
1803|fulton|east|rotor|39|paid
1913|harbor|east|rotor|54|paid
1741|dorian|west|rotor|21|held
1553|dorian|west|sensor|56|shipped
1938|harbor|north|rotor|37|paid
1664|dorian|south|rotor|53|pending
1366|acme|west|valve|90|pending
1694|fulton|east|pump|12|pending
2065|acme|south|frame|28|shipped
1976|juno|south|panel|39|shipped
1442|fulton|south|frame|89|pending
2041|fulton|west|frame|79|held
1594|fulton|east|valve|87|shipped
2005|fulton|north|cable|38|pending
1982|cobalt|north|valve|27|paid
2137|cobalt|east|pump|56|shipped
2159|birch|west|cable|95|pending
1767|gale|north|panel|39|held
1970|dorian|south|panel|38|paid
1700|birch|east|rotor|64|shipped
1418|gale|north|valve|19|paid
1941|ionic|north|gasket|74|pending
2132|dorian|east|panel|28|pending
1602|dorian|east|frame|35|paid
1745|birch|west|gasket|63|paid
2020|dorian|south|sensor|84|pending
1648|ionic|north|panel|48|pending
1447|birch|east|cable|75|held
1715|cobalt|west|pump|50|pending
1465|dorian|east|cable|46|pending
1597|cobalt|east|panel|62|paid
1703|gale|west|valve|32|held
1859|cobalt|west|frame|87|shipped
1710|birch|south|rotor|41|pending
1377|acme|north|sensor|71|pending
1975|fulton|south|rotor|48|pending
1445|acme|north|rotor|38|held
1810|dorian|south|sensor|65|held
1927|ionic|east|cable|94|shipped
1829|harbor|east|frame|90|pending
1490|ionic|west|panel|30|shipped
1908|ember|south|valve|70|shipped
1676|ember|east|gasket|34|pending
1510|ionic|north|pump|82|shipped
1746|birch|east|panel|97|pending
2026|juno|east|frame|46|pending
1501|fulton|north|gasket|38|paid
1871|juno|north|rotor|94|paid
1834|dorian|north|gasket|14|held
1556|fulton|east|cable|99|pending
1580|birch|east|frame|13|paid
2105|cobalt|north|gasket|88|held
2169|ember|east|sensor|90|paid
1760|birch|west|sensor|22|pending
1508|birch|west|valve|90|shipped
1731|harbor|east|pump|36|shipped
2097|acme|east|frame|12|shipped
2019|ionic|north|gasket|41|paid
1891|dorian|east|gasket|56|shipped
1819|gale|north|frame|18|paid
1685|acme|south|gasket|16|shipped
1633|gale|south|cable|50|paid
1825|birch|west|valve|71|shipped
1468|ember|west|pump|72|shipped
1915|dorian|south|cable|65|held
2162|juno|west|gasket|44|pending
1672|gale|east|rotor|95|held
1902|dorian|south|rotor|92|paid
1879|fulton|east|gasket|46|pending
2067|birch|west|rotor|11|paid
1616|dorian|west|rotor|72|paid
1470|birch|east|pump|69|pending
1984|birch|east|rotor|33|pending
1609|ember|west|sensor|69|pending
1559|cobalt|north|valve|72|pending
1954|acme|west|valve|62|held
1371|acme|east|pump|22|paid
1513|birch|west|rotor|73|paid
1454|birch|west|sensor|84|paid
1776|cobalt|north|panel|44|shipped
2035|juno|west|rotor|94|shipped
1520|dorian|south|valve|26|held
2112|harbor|east|cable|52|shipped
1863|fulton|west|cable|65|held
1949|cobalt|east|rotor|34|held
1885|dorian|south|gasket|66|paid
1435|dorian|west|pump|34|shipped
2032|fulton|south|panel|52|pending
2100|ember|south|gasket|64|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"cable","qty":66}}, {"tool":"cancel_order","args":{"order_id":1375}}, {"tool":"restock","args":{"item":"panel","qty":98}} ]
correctagentic.tools.deploy-v1conf 98% · 3.2s · $0.008 · 463 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: search
- notifier: (none)
- search: notifier
- gateway: search

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}]
correctagentic.tools.ledger-v1conf 100% · 3.0s · $0.008 · 407 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: $857
- echo: $695
- alpha: $787

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $363 from "delta" to "alpha"
2. pay $146 from "alpha" to "echo"
3. pay $402 from "delta" to "alpha"
4. pay $591 from "alpha" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 363}}, {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 146}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 402}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 591}}]
correctagentic.tools.triage-v1conf 100% · 3.1s · $0.013 · 781 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 → chen
- infra → okafor
- data → tanaka

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "SSO loop on login" (category: auth, priority 2)
3. "records missing after import" (category: data, priority 2)
4. "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":"SSO loop on login","priority":2}}, {"tool":"assign","args":{"ticket_id":"TCK-1","agent":"chen"}}, {"tool":"create_ticket","args":{"title":"SSO loop on login","priority":2}}, {"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}}, {"tool":"create_ticket","args":{"title":"records missing after import","priority":2}}, {"tool":"assign","args":{"ticket_id":"TCK-3","agent":"tanaka"}}, {"tool":"create_ticket","args":{"title":"cannot reset password","priority":7}}, {"tool":"assign","args":{"ticket_id":"TCK-4","agent":"chen"}} ]
correctagentic.tools.deploy-v1conf 100% · 2.4s · $0.009 · 491 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
- gateway: (none)
- reports: auth-svc, gateway
- auth-svc: search

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool":"deploy","args":{"service":"gateway"}},{"tool":"deploy","args":{"service":"search"}},{"tool":"health_check","args":{"service":"search"}},{"tool":"deploy","args":{"service":"auth-svc"}},{"tool":"deploy","args":{"service":"reports"}}]
correctagentic.tools.context-load-v1conf 99% · 2.6s · $0.102 · 6053 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 (231 records, format: id|customer|region|item|qty|status):
```
1830|ionic|east|rotor|64|held
1342|juno|west|frame|28|held
1848|gale|south|sensor|18|shipped
1807|ionic|west|rotor|31|held
1378|harbor|north|rotor|71|shipped
1904|acme|west|pump|26|shipped
1462|gale|south|frame|13|held
1721|cobalt|east|valve|50|pending
1429|acme|west|rotor|94|shipped
1406|harbor|west|cable|99|paid
1568|ionic|east|cable|46|pending
1926|birch|west|frame|68|paid
1311|juno|north|rotor|34|pending
1991|fulton|west|valve|59|held
1547|harbor|south|frame|82|paid
1191|ionic|south|sensor|15|pending
1518|harbor|north|sensor|21|held
1373|juno|east|panel|46|paid
1480|gale|north|cable|51|held
1710|acme|north|pump|10|shipped
1156|ionic|north|pump|90|pending
1767|fulton|east|pump|15|shipped
1947|cobalt|west|sensor|42|shipped
1576|cobalt|west|valve|22|held
2006|ember|north|rotor|53|pending
1258|juno|north|sensor|63|paid
1922|fulton|west|cable|51|paid
1430|juno|north|frame|95|pending
1784|harbor|south|sensor|66|shipped
1553|ember|east|rotor|67|pending
1454|fulton|south|pump|15|shipped
1559|cobalt|north|rotor|88|held
1213|ember|west|panel|38|shipped
1508|dorian|north|frame|77|shipped
1643|dorian|north|panel|26|shipped
1290|harbor|south|cable|18|shipped
1858|juno|south|rotor|17|held
1424|juno|east|frame|15|shipped
1960|dorian|east|gasket|90|paid
1723|gale|west|frame|35|shipped
1863|dorian|west|sensor|64|paid
2018|gale|north|pump|15|shipped
2026|cobalt|south|valve|91|paid
1469|gale|east|cable|17|held
1350|juno|west|cable|38|paid
1790|juno|east|sensor|12|shipped
1639|cobalt|north|panel|29|shipped
1900|juno|east|valve|34|pending
1844|cobalt|east|cable|30|shipped
1664|gale|north|frame|73|pending
1246|harbor|east|valve|17|shipped
1666|cobalt|west|rotor|40|shipped
1945|dorian|east|sensor|16|held
1379|birch|east|panel|80|held
1377|acme|north|pump|76|pending
1148|ionic|south|cable|36|pending
1165|ionic|east|frame|21|pending
1195|ionic|east|valve|58|held
1618|ionic|north|gasket|67|shipped
1398|acme|west|rotor|54|pending
1683|gale|north|cable|91|pending
1541|dorian|south|frame|98|paid
1219|fulton|south|pump|24|held
1886|ember|east|panel|63|paid
1376|cobalt|south|sensor|18|shipped
1579|gale|west|cable|68|held
1983|birch|south|rotor|49|paid
1422|harbor|east|pump|96|shipped
1907|ionic|north|panel|82|held
1446|ember|south|sensor|39|shipped
1490|ember|north|sensor|13|pending
1410|cobalt|south|valve|54|shipped
1402|gale|east|cable|44|paid
1884|juno|south|frame|12|shipped
1169|ionic|south|frame|27|pending
1650|juno|south|cable|31|shipped
1940|harbor|east|panel|53|held
1869|gale|south|sensor|36|pending
1577|acme|north|cable|34|paid
1809|cobalt|north|sensor|53|pending
1595|acme|north|rotor|58|shipped
1689|acme|south|frame|86|pending
1668|gale|north|panel|44|shipped
1810|ember|south|frame|10|shipped
1466|ionic|east|panel|25|pending
1841|fulton|west|gasket|94|paid
1356|ionic|south|rotor|52|shipped
1516|ionic|east|panel|43|paid
1467|harbor|south|cable|73|paid
1738|fulton|south|rotor|21|held
1155|ionic|east|sensor|62|pending
1636|acme|west|rotor|46|shipped
1605|acme|south|pump|77|pending
1539|acme|south|gasket|66|paid
1813|ember|west|cable|30|held
1660|ember|east|gasket|85|paid
1208|fulton|north|sensor|52|paid
1443|acme|south|valve|86|paid
1548|gale|north|cable|83|pending
1176|ionic|east|gasket|22|shipped
1702|gale|east|gasket|82|pending
1744|ionic|west|cable|41|held
1434|harbor|north|cable|46|pending
1882|gale|east|gasket|73|held
1450|acme|west|cable|99|held
1270|birch|north|pump|46|pending
1407|dorian|north|valve|86|shipped
1493|fulton|south|cable|87|held
1572|cobalt|south|panel|72|pending
1226|dorian|east|sensor|78|shipped
1234|juno|west|valve|33|pending
1264|ionic|east|gasket|76|shipped
1353|birch|south|sensor|93|pending
1190|ionic|east|rotor|82|pending
1360|ionic|south|frame|68|pending
1328|acme|west|valve|30|paid
1437|gale|east|sensor|26|paid
1951|juno|west|gasket|45|shipped
1222|cobalt|west|cable|59|shipped
1610|cobalt|east|sensor|42|held
1629|fulton|north|rotor|39|shipped
1645|dorian|north|gasket|64|pending
1535|harbor|east|valve|73|pending
1697|birch|north|frame|17|pending
1955|cobalt|south|gasket|84|pending
2003|dorian|north|frame|38|pending
1451|ionic|north|frame|22|pending
1560|gale|east|gasket|65|shipped
1669|ionic|north|rotor|81|shipped
1796|harbor|west|gasket|77|shipped
1388|ember|north|pump|74|pending
1620|ember|north|panel|81|paid
1980|juno|south|cable|49|paid
1364|harbor|south|frame|59|paid
1461|acme|north|cable|45|shipped
1684|harbor|south|panel|15|pending
1273|ionic|north|pump|88|held
1759|juno|west|gasket|12|shipped
1161|ionic|east|pump|78|held
1180|ionic|north|gasket|88|pending
1145|ionic|east|rotor|33|pending
1322|fulton|west|valve|83|paid
1308|fulton|north|rotor|33|held
1686|ember|west|frame|37|paid
1654|birch|east|rotor|93|held
2010|ember|south|gasket|86|held
1711|cobalt|west|pump|49|paid
1339|dorian|east|cable|16|pending
1283|juno|west|gasket|76|held
1486|ionic|east|rotor|44|pending
1281|dorian|north|cable|24|shipped
1678|juno|west|gasket|84|held
1225|juno|west|valve|10|paid
1285|acme|south|frame|20|held
1623|juno|west|valve|68|pending
1393|fulton|east|frame|98|paid
1939|birch|east|pump|31|pending
2015|ember|south|panel|44|pending
1528|harbor|south|pump|77|held
1878|acme|west|sensor|52|held
1853|birch|east|pump|17|shipped
1808|birch|north|frame|90|pending
1774|ionic|west|gasket|84|held
1804|harbor|east|pump|91|paid
2000|ember|west|sensor|99|pending
1695|cobalt|south|gasket|59|shipped
1752|harbor|north|valve|19|paid
1150|ionic|east|sensor|92|shipped
1369|harbor|east|valve|24|paid
1676|gale|north|panel|66|shipped
1327|harbor|north|valve|89|held
1778|gale|south|cable|15|pending
1961|cobalt|east|panel|10|paid
1871|harbor|south|pump|37|pending
1932|gale|west|valve|59|held
1706|acme|north|sensor|91|shipped
1592|harbor|south|frame|12|paid
1602|birch|east|gasket|25|shipped
1334|harbor|east|frame|40|shipped
1822|birch|east|sensor|92|held
1202|dorian|south|panel|76|pending
1611|birch|north|rotor|39|pending
1253|ionic|east|valve|48|shipped
1523|fulton|north|cable|87|paid
1621|acme|west|valve|38|pending
1819|fulton|west|rotor|76|held
1817|acme|west|rotor|25|shipped
1993|cobalt|east|panel|30|paid
1503|cobalt|north|valve|80|pending
1918|fulton|west|pump|63|held
1297|cobalt|east|gasket|62|shipped
1746|fulton|east|pump|48|shipped
2021|gale|north|rotor|24|held
1511|ember|east|cable|42|held
1640|fulton|south|valve|49|paid
1729|gale|south|valve|35|pending
1177|ionic|east|pump|98|pending
1546|dorian|west|gasket|42|pending
1231|juno|west|pump|48|paid
1837|cobalt|north|frame|87|pending
1343|juno|east|panel|37|held
1522|juno|east|frame|48|held
1829|cobalt|west|pump|59|paid
1888|gale|east|cable|50|paid
1183|ionic|east|panel|94|shipped
1911|dorian|west|sensor|80|shipped
1567|juno|east|sensor|79|paid
1912|cobalt|east|panel|98|held
1755|harbor|west|panel|67|shipped
1585|cobalt|west|frame|31|shipped
1763|fulton|north|sensor|75|shipped
1474|dorian|south|valve|47|held
1973|harbor|south|valve|61|held
1279|acme|west|pump|66|paid
1589|juno|east|cable|89|pending
1988|fulton|north|valve|54|pending
1316|cobalt|north|pump|66|shipped
1463|gale|east|rotor|47|pending
1413|gale|west|valve|39|shipped
1718|ionic|west|panel|84|shipped
1301|ember|east|rotor|45|paid
1240|juno|north|rotor|25|paid
1381|acme|north|gasket|63|pending
1588|dorian|north|frame|50|shipped
1736|birch|east|sensor|24|held
1499|acme|west|valve|38|paid
1415|birch|south|sensor|35|pending
1893|cobalt|north|rotor|40|held
1801|harbor|east|rotor|47|shipped
1214|birch|east|pump|34|paid
1966|birch|north|cable|59|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 50, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool":"cancel_order","args":{"order_id":1145}},{"tool":"restock","args":{"item":"sensor","qty":62}},{"tool":"cancel_order","args":{"order_id":1165}},{"tool":"restock","args":{"item":"pump","qty":98}},{"tool":"restock","args":{"item":"rotor","qty":82}},{"tool":"cancel_order","args":{"order_id":1466}},{"tool":"cancel_order","args":{"order_id":1486}},{"tool":"cancel_order","args":{"order_id":1568}}]
correctagentic.tools.context-load-v1conf 100% · 1.3s · $0.059 · 3071 tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (266 records, format: id|customer|region|item|qty|status):
```
2320|birch|west|cable|77|paid
2171|acme|west|pump|89|pending
2092|ionic|west|panel|46|pending
2064|juno|west|frame|53|held
1334|juno|west|gasket|68|shipped
1904|harbor|south|cable|88|pending
2100|gale|south|panel|34|held
2113|cobalt|south|valve|69|pending
1369|ionic|north|cable|65|shipped
1849|acme|west|rotor|40|shipped
1959|acme|west|pump|43|shipped
1348|ember|east|pump|59|shipped
1506|ember|west|cable|71|paid
2236|gale|north|gasket|92|pending
1763|ionic|west|panel|51|pending
2297|acme|north|valve|10|shipped
1864|juno|south|valve|61|held
1329|juno|south|frame|74|held
1739|juno|south|gasket|14|paid
1889|ionic|south|valve|98|held
1931|juno|west|sensor|96|shipped
1985|cobalt|south|panel|12|shipped
2383|gale|west|sensor|55|shipped
1992|harbor|north|pump|69|pending
1313|gale|west|valve|46|pending
1610|dorian|east|rotor|74|held
2243|fulton|west|rotor|41|shipped
2389|birch|east|sensor|46|pending
2246|gale|east|rotor|86|paid
1782|juno|north|sensor|59|held
1557|ember|west|rotor|42|shipped
1962|ember|west|panel|72|pending
1834|fulton|north|valve|71|paid
2007|birch|north|frame|21|pending
1528|cobalt|south|panel|84|paid
2288|harbor|south|valve|65|pending
1975|juno|west|cable|39|held
1616|gale|south|panel|97|held
1459|harbor|south|panel|20|held
1379|gale|north|gasket|54|pending
2359|acme|west|frame|45|paid
1838|ionic|south|pump|45|pending
1808|birch|east|rotor|94|shipped
1826|acme|west|valve|74|pending
2145|ionic|south|panel|38|paid
2044|gale|north|sensor|57|shipped
1380|dorian|east|gasket|36|shipped
2122|ember|west|panel|92|paid
1697|juno|west|valve|81|pending
2188|birch|north|rotor|48|pending
1424|acme|west|gasket|43|held
1776|dorian|south|pump|32|paid
2167|dorian|south|gasket|19|shipped
1412|cobalt|east|valve|17|paid
1477|gale|south|frame|55|paid
1870|fulton|south|rotor|21|held
1941|acme|east|gasket|90|paid
2305|ember|south|panel|27|paid
2324|juno|north|valve|61|paid
1989|ionic|south|rotor|38|held
1563|dorian|north|sensor|51|held
1837|birch|north|rotor|27|shipped
1647|juno|east|cable|52|shipped
1340|harbor|south|panel|59|held
1434|birch|north|gasket|28|held
1770|ionic|west|frame|45|pending
2039|ember|west|gasket|47|paid
1900|birch|west|rotor|14|pending
2279|cobalt|east|panel|49|held
1441|cobalt|south|rotor|82|pending
2294|juno|north|cable|72|pending
2111|acme|east|frame|88|paid
1570|fulton|west|cable|95|paid
1719|gale|north|valve|56|shipped
2080|ember|west|sensor|36|held
1446|cobalt|north|frame|31|held
2179|dorian|south|pump|32|held
2283|gale|east|gasket|90|held
1745|cobalt|south|rotor|90|pending
1306|gale|south|valve|20|paid
2087|ember|east|rotor|38|shipped
1578|harbor|west|gasket|11|paid
1316|gale|south|valve|53|shipped
2216|harbor|south|pump|30|shipped
2200|gale|east|valve|32|pending
1625|harbor|north|valve|86|pending
2239|ember|north|gasket|74|shipped
1814|ionic|south|valve|39|held
1760|acme|west|frame|68|pending
1704|acme|east|valve|18|paid
2138|dorian|east|gasket|59|paid
1484|ionic|south|cable|80|shipped
1854|ember|east|pump|24|held
2253|ember|south|cable|59|held
1930|juno|north|gasket|27|held
2014|cobalt|east|pump|52|shipped
1495|gale|west|gasket|96|paid
2352|birch|east|panel|16|held
1885|fulton|west|rotor|23|paid
1993|fulton|east|valve|55|shipped
2240|harbor|west|pump|46|paid
1878|acme|east|rotor|11|paid
1871|juno|south|panel|94|pending
2049|cobalt|west|sensor|79|held
1995|birch|west|cable|38|pending
2394|ionic|east|panel|37|paid
1547|ember|west|pump|32|pending
2207|cobalt|south|valve|98|paid
2335|gale|west|gasket|49|shipped
1344|birch|west|cable|54|paid
1300|gale|east|panel|70|pending
1500|ember|east|panel|16|held
2370|juno|west|valve|85|held
1631|harbor|south|frame|44|held
1724|cobalt|north|gasket|64|paid
1670|acme|south|pump|83|shipped
2059|dorian|east|cable|32|pending
1493|juno|north|rotor|24|held
1390|fulton|west|gasket|27|held
1333|ionic|west|frame|87|paid
1287|gale|west|rotor|39|pending
1640|harbor|east|cable|82|paid
2336|ember|east|valve|17|paid
2000|ember|north|panel|62|pending
1672|harbor|north|cable|20|shipped
2128|birch|north|gasket|77|shipped
2213|acme|east|panel|78|paid
1321|juno|east|valve|92|pending
1357|gale|north|frame|35|held
2199|harbor|south|frame|98|shipped
2218|harbor|south|frame|62|shipped
1590|dorian|south|gasket|76|shipped
2095|birch|north|valve|40|paid
1821|ionic|north|panel|84|paid
1384|ionic|east|panel|52|shipped
2174|gale|north|rotor|44|held
2266|dorian|north|panel|53|paid
2310|cobalt|west|frame|43|shipped
1970|juno|west|valve|45|pending
2135|fulton|west|sensor|89|pending
1504|acme|east|panel|89|shipped
1948|acme|west|valve|89|held
1803|fulton|north|panel|74|pending
1967|cobalt|north|sensor|41|held
1352|juno|east|pump|27|held
1850|acme|north|panel|28|paid
2123|gale|north|cable|71|pending
1410|acme|south|frame|27|pending
2365|dorian|west|rotor|46|held
1733|ember|north|valve|85|paid
2019|fulton|east|sensor|63|paid
2160|gale|east|pump|27|paid
1467|harbor|south|panel|13|held
1550|harbor|east|frame|72|shipped
1532|fulton|west|cable|43|shipped
1453|harbor|east|sensor|38|held
1687|birch|north|valve|62|paid
2403|dorian|south|sensor|41|paid
2107|gale|south|valve|86|paid
1915|juno|south|valve|41|shipped
1418|juno|east|pump|37|held
1471|birch|south|panel|76|paid
1928|ionic|west|rotor|16|pending
1490|birch|north|sensor|93|pending
1935|ember|east|pump|61|pending
2224|acme|north|frame|66|pending
1374|gale|north|gasket|72|shipped
1401|dorian|east|cable|20|held
1403|harbor|east|frame|74|held
1656|ember|north|gasket|18|pending
2300|fulton|west|cable|17|paid
1649|juno|south|pump|65|held
2272|harbor|north|frame|11|pending
1473|birch|south|rotor|61|pending
1585|dorian|north|rotor|65|held
2148|birch|south|frame|64|held
1577|dorian|north|rotor|34|shipped
2259|harbor|south|valve|63|shipped
2331|harbor|west|rotor|22|held
2181|ionic|north|panel|59|shipped
1977|acme|south|valve|62|pending
2115|ionic|north|frame|58|pending
1749|birch|north|panel|63|held
1974|ember|west|pump|10|paid
1488|cobalt|west|gasket|42|pending
1517|acme|south|pump|17|pending
1859|fulton|west|rotor|18|shipped
1836|harbor|east|sensor|95|paid
1691|ionic|west|panel|86|pending
1511|birch|south|sensor|36|held
1788|birch|west|pump|24|paid
1362|birch|north|panel|66|held
1540|birch|east|pump|41|shipped
2229|dorian|north|valve|44|pending
1667|gale|south|pump|60|shipped
1842|juno|east|gasket|89|paid
1634|juno|north|frame|66|pending
1346|ionic|west|valve|59|pending
2032|ember|west|sensor|53|shipped
1792|acme|north|cable|68|shipped
1618|juno|east|gasket|48|paid
1603|cobalt|east|valve|84|held
2399|gale|north|panel|32|shipped
1294|gale|south|rotor|39|pending
1955|harbor|east|gasket|94|paid
1555|ionic|east|valve|57|held
1910|ember|north|frame|69|held
1505|harbor|west|cable|34|shipped
1750|ember|east|frame|97|shipped
1465|harbor|south|frame|59|paid
1921|acme|south|sensor|70|pending
2202|harbor|east|rotor|75|held
2192|ember|west|pump|38|held
1413|juno|west|pump|27|shipped
2381|fulton|west|valve|84|shipped
1860|birch|south|pump|66|held
1731|dorian|east|gasket|10|shipped
1980|cobalt|west|frame|74|paid
2343|fulton|north|rotor|49|pending
1662|ember|south|sensor|78|held
1368|birch|east|pump|13|paid
1892|acme|south|panel|41|shipped
2093|acme|west|rotor|60|paid
1918|harbor|south|cable|16|shipped
2317|ember|south|rotor|14|shipped
2151|acme|east|pump|22|shipped
2345|ember|west|gasket|88|shipped
1309|gale|south|pump|25|pending
2074|ember|east|frame|47|held
1675|juno|north|sensor|11|shipped
1397|juno|south|frame|97|pending
1820|cobalt|east|gasket|44|held
2037|fulton|north|valve|14|paid
1709|acme|west|valve|50|paid
2070|ember|south|panel|72|pending
1323|dorian|north|valve|94|held
1579|gale|south|panel|79|shipped
2154|harbor|east|cable|33|held
1600|ember|south|valve|98|paid
2025|ionic|north|panel|94|paid
1290|gale|south|frame|20|paid
1430|dorian|east|panel|72|pending
1593|gale|west|cable|90|pending
1833|dorian|west|sensor|99|shipped
1652|dorian|west|cable|51|pending
2374|harbor|north|pump|69|paid
1773|cobalt|north|panel|45|held
1478|juno|east|rotor|33|paid
1895|juno|west|panel|39|paid
1947|acme|west|gasket|71|shipped
1696|juno|east|pump|85|held
1524|cobalt|east|rotor|78|pending
2056|gale|north|gasket|94|held
1281|gale|south|cable|93|pending
1535|juno|east|pump|58|shipped
1680|fulton|north|frame|39|shipped
2358|gale|west|valve|62|pending
1753|juno|north|rotor|79|paid
2225|cobalt|south|frame|91|paid
1798|cobalt|west|frame|85|shipped
2361|gale|east|valve|40|shipped
2292|acme|east|valve|25|shipped
1437|cobalt|north|valve|40|pending
1712|gale|east|pump|77|paid
1623|juno|north|rotor|36|pending
1509|fulton|north|cable|51|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"cable","qty":93}}, {"tool":"cancel_order","args":{"order_id":1294}}, {"tool":"cancel_order","args":{"order_id":1309}} ]
correctagentic.tools.ledger-v1conf 100% · 3.1s · $0.012 · 720 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: $712
- delta: $238
- oscar: $584

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $100 from "oscar" to "delta"
2. pay $192 from "oscar" to "bravo"
3. pay $573 from "bravo" to "oscar"
4. pay $278 from "bravo" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 100}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 192}}, {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 573}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 278}} ]
correctagentic.tools.triage-v1conf 100% · 3.0s · $0.010 · 573 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 → dubois

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 5)
2. "refund double-charged" (category: payments, priority 2)
3. "refund double-charged" (category: payments, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 100% · 2.8s · $0.009 · 529 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 100% · 2.6s · $0.018 · 1089 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: $633
- alpha: $488
- oscar: $278

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $357 from "alpha" to "delta"
2. pay $265 from "delta" to "oscar"
3. pay $599 from "alpha" to "delta"
4. pay $564 from "oscar" to "delta"
5. pay $399 from "oscar" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 357}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 265}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 468}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 599}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 21}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 564}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 399}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 399}} ]
correctagentic.tools.triage-v1conf 98% · 5.2s · $0.012 · 697 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 5)
2. "webhooks not delivered" (category: infra, priority 5)
3. "invoice total wrong" (category: payments, priority 6)
4. "uploads failing intermittently" (category: infra, 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": "webhooks not delivered", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "novak"}} ]
correctagentic.tools.deploy-v1conf 100% · 2.8s · $0.007 · 396 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, notifier
- billing: (none)
- auth-svc: notifier
- notifier: 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 "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool":"deploy","args":{"service":"billing"}},{"tool":"deploy","args":{"service":"notifier"}},{"tool":"health_check","args":{"service":"notifier"}},{"tool":"deploy","args":{"service":"auth-svc"}},{"tool":"deploy","args":{"service":"search"}}]
correctagentic.tools.ledger-v1conf 100% · 3.6s · $0.013 · 772 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $624
- alpha: $133
- tango: $226

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $142 from "kilo" to "tango"
2. pay $384 from "tango" to "kilo"
3. pay $118 from "kilo" to "tango"
4. pay $97 from "tango" to "kilo"
5. pay $143 from "kilo" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool":"transfer","args":{"from":"kilo","to":"tango","amount":142}},{"tool":"top_up_from_reserve","args":{"account":"tango","amount":16}},{"tool":"transfer","args":{"from":"tango","to":"kilo","amount":384}},{"tool":"transfer","args":{"from":"kilo","to":"tango","amount":118}},{"tool":"transfer","args":{"from":"tango","to":"kilo","amount":97}},{"tool":"transfer","args":{"from":"kilo","to":"tango","amount":143}}]
correctagentic.tools.context-load-v1conf 100% · 2.3s · $0.050 · 2924 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 (125 records, format: id|customer|region|item|qty|status):
```
1591|harbor|east|gasket|20|shipped
1823|ember|north|cable|99|held
1521|acme|north|gasket|71|held
1725|ionic|north|gasket|42|paid
1724|acme|east|frame|72|held
1864|dorian|east|cable|28|pending
1580|fulton|east|panel|61|shipped
1834|harbor|east|cable|11|paid
1839|juno|west|panel|79|pending
1544|acme|south|cable|92|held
1912|acme|east|cable|33|shipped
1836|juno|west|cable|22|shipped
1885|cobalt|west|panel|64|held
1780|harbor|south|rotor|54|pending
1742|acme|west|panel|74|pending
1655|dorian|east|pump|19|shipped
1561|ember|north|frame|66|paid
1796|gale|north|valve|39|held
1677|dorian|south|rotor|56|held
1755|acme|south|panel|50|held
1739|acme|west|panel|32|paid
1673|dorian|east|cable|18|paid
1702|fulton|north|cable|65|held
1634|ionic|east|sensor|44|shipped
1568|birch|north|gasket|62|shipped
1810|fulton|west|frame|42|paid
1875|birch|east|rotor|72|shipped
1683|cobalt|south|frame|55|pending
1731|ionic|east|panel|83|paid
1504|acme|north|valve|60|pending
1579|fulton|south|cable|73|shipped
1712|fulton|east|cable|73|paid
1547|dorian|west|frame|20|pending
1519|acme|south|valve|12|pending
1957|dorian|north|pump|33|held
1932|juno|north|cable|21|shipped
1554|dorian|east|rotor|97|paid
1629|fulton|east|panel|82|paid
1737|juno|east|rotor|71|held
1715|acme|west|rotor|21|pending
1705|harbor|east|valve|85|paid
1663|acme|west|rotor|49|held
1586|birch|west|cable|97|held
1486|acme|north|sensor|34|pending
1829|fulton|east|rotor|61|shipped
1853|acme|east|sensor|55|pending
1955|gale|east|valve|44|pending
1640|dorian|east|rotor|66|shipped
1703|ember|east|frame|43|held
1697|cobalt|north|valve|69|paid
1917|birch|south|gasket|97|held
1770|harbor|north|cable|87|held
1807|fulton|south|valve|29|paid
1785|juno|south|rotor|81|held
1758|ionic|north|sensor|70|paid
1791|acme|west|gasket|45|shipped
1776|ember|east|panel|63|shipped
1947|acme|east|gasket|96|paid
1670|fulton|west|frame|99|shipped
1510|acme|east|gasket|63|pending
1812|acme|south|gasket|54|pending
1767|fulton|south|cable|79|shipped
1860|juno|west|valve|20|held
1583|cobalt|north|cable|42|paid
1498|acme|north|sensor|44|held
1678|dorian|east|gasket|54|held
1831|cobalt|west|frame|10|shipped
1524|fulton|south|rotor|36|pending
1491|acme|south|panel|80|pending
1511|acme|north|panel|14|shipped
1619|juno|south|rotor|88|paid
1942|cobalt|east|panel|28|held
1921|gale|west|pump|93|paid
1668|fulton|north|cable|81|held
1959|ionic|north|frame|17|shipped
1870|juno|north|panel|91|shipped
1752|gale|south|gasket|50|paid
1681|dorian|west|rotor|60|shipped
1845|ionic|south|sensor|61|shipped
1605|ionic|west|rotor|21|held
1819|acme|south|valve|50|paid
1542|acme|east|pump|39|held
1529|harbor|north|sensor|13|held
1950|harbor|south|panel|15|held
1513|acme|north|frame|46|pending
1614|birch|west|cable|87|paid
1650|birch|south|frame|89|shipped
1541|juno|west|gasket|37|paid
1574|fulton|west|frame|26|paid
1783|gale|north|sensor|36|held
1847|harbor|south|pump|27|paid
1760|fulton|north|panel|15|held
1728|harbor|west|pump|15|paid
1747|acme|south|sensor|48|shipped
1539|birch|east|pump|39|pending
1690|acme|south|gasket|70|paid
1931|juno|east|frame|39|pending
1656|ember|west|pump|59|pending
1624|harbor|north|frame|78|held
1660|juno|north|frame|45|pending
1903|birch|east|panel|37|pending
1854|fulton|west|pump|14|paid
1850|juno|north|cable|64|paid
1896|fulton|east|panel|44|shipped
1815|gale|east|pump|76|paid
1612|juno|south|gasket|99|shipped
1830|juno|north|sensor|75|held
1833|ember|east|rotor|52|pending
1643|ember|east|frame|99|shipped
1722|harbor|south|panel|47|paid
1607|ionic|south|sensor|76|shipped
1892|dorian|east|sensor|86|shipped
1935|acme|west|panel|68|pending
1926|juno|south|rotor|80|pending
1907|birch|north|frame|75|held
1536|gale|west|sensor|40|shipped
1788|birch|west|sensor|38|paid
1700|ember|west|valve|52|paid
1835|dorian|north|pump|99|paid
1882|juno|south|valve|28|held
1648|cobalt|south|frame|64|shipped
1790|cobalt|east|sensor|45|paid
1822|harbor|east|sensor|75|pending
1598|harbor|north|gasket|76|paid
1801|dorian|south|pump|94|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool":"cancel_order","args":{"order_id":1486}},{"tool":"restock","args":{"item":"valve","qty":60}},{"tool":"restock","args":{"item":"frame","qty":46}}]
correctagentic.tools.triage-v1conf 100% · 5.7s · $0.011 · 611 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 → dubois
- auth → haddad
- payments → chen

INCIDENTS:
1. "export file corrupted" (category: data, priority 7)
2. "locked out after 2FA change" (category: auth, priority 8)
3. "export file corrupted" (category: data, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.context-load-v1anchorconf 98% · 3.1s · $0.073 · 4224 tok
model answer: [{"tool":"restock","args":{"item":"gasket","qty":60}},{"tool":"cancel_order","args":{"order_id":1368}},{"tool":"cancel_order","args":{"order_id":1384}},{"tool":"restock","args":{"item":"frame","qty":58}},{"tool":"restock","args":{"item":"rotor","qty":75}},{"tool":"cancel_order","args":{"order_id":1682}}]
correctagentic.tools.deploy-v1conf 100% · 3.6s · $0.008 · 427 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: reports
- notifier: (none)
- billing: notifier
- reports: billing, notifier

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 100% · 4.1s · $0.009 · 523 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $241
- delta: $516
- oscar: $448

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $86 from "oscar" to "bravo"
2. pay $288 from "delta" to "bravo"
3. pay $456 from "oscar" to "delta"
4. pay $260 from "delta" to "oscar"
5. pay $264 from "oscar" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 86}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 288}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 94}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 456}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 260}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 4}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 264}} ]
correctagentic.tools.triage-v1conf 100% · 2.1s · $0.013 · 746 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "invoice total wrong" (category: payments, priority 7)
3. "API latency spikes" (category: infra, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 4.6s · $0.013 · 779 tok
model answer: [{"tool":"deploy","args":{"service":"notifier"}},{"tool":"deploy","args":{"service":"auth-svc"}},{"tool":"deploy","args":{"service":"gateway"}},{"tool":"health_check","args":{"service":"gateway"}},{"tool":"deploy","args":{"service":"reports"}}]
correctagentic.tools.ledger-v1anchorconf 100% · 2.6s · $0.016 · 984 tok
model answer: [ {"tool":"top_up_from_reserve","args":{"account":"delta","amount":134}}, {"tool":"transfer","args":{"from":"delta","to":"bravo","amount":451}}, {"tool":"transfer","args":{"from":"bravo","to":"delta","amount":292}}, {"tool":"transfer","args":{"from":"delta","to":"tango","amount":97}}, {"tool":"top_up_from_reserve","args":{"account":"delta","amount":345}}, {"tool":"transfer","args":{"from":"delta","to":"bravo","amount":540}}, {"tool":"transfer","args":{"from":"tango","to":"bravo","amount":125}} ]
correctagentic.tools.triage-v1anchorconf 100% · 3.8s · $0.016 · 966 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
code 30/30 correct
correctcode.trace.nested-v1conf 100% · 2.9s · $0.015 · 936 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 80
correctcode.trace.js-v1conf 100% · 2.1s · $0.004 · 229 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
correctcode.trace.python-v1conf 100% · 2.3s · $0.008 · 523 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 88:
    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: 58
correctcode.trace.nested-v1conf 100% · 2.2s · $0.017 · 1098 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 94
correctcode.trace.js-v1conf 100% · 2.7s · $0.005 · 309 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [2, 3, 4, 5, 6, 7];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 18
correctcode.trace.python-v1conf 100% · 2.2s · $0.008 · 489 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 2
while total + v <= 80:
    if v % 5 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 50
correctcode.trace.js-v1conf 100% · 9.7s · $0.006 · 356 tok
question
What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
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: 294
correctcode.trace.nested-v1conf 100% · 3.8s · $0.014 · 862 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 203
correctcode.trace.nested-v1conf 100% · 3.9s · $0.030 · 1969 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 159
correctcode.trace.python-v1conf 100% · 3.4s · $0.013 · 821 tok
question
What does this Python program print?

```python
total = 0
v = 5
while total + v <= 42:
    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: 34
correctcode.trace.js-v1conf 100% · 3.3s · $0.005 · 272 tok
question
What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
correctcode.trace.python-v1conf 100% · 2.7s · $0.013 · 812 tok
question
What does this Python program print?

```python
total = 0
v = 7
while total + v <= 112:
    if v % 7 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 75
correctcode.trace.js-v1conf 100% · 7.0s · $0.010 · 638 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 * 7)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 189
correctcode.trace.nested-v1conf 100% · 3.2s · $0.011 · 667 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 171
correctcode.trace.nested-v1conf 100% · 5.6s · $0.023 · 1460 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 == 6 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: 427
correctcode.trace.python-v1conf 100% · 2.8s · $0.010 · 604 tok
question
What does this Python program print?

```python
total = 0
v = 9
while total + v <= 116:
    if v % 3 != 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: 83
correctcode.trace.js-v1conf 100% · 2.1s · $0.003 · 174 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 54
correctcode.trace.python-v1conf 100% · 4.2s · $0.006 · 364 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 12
while total + v <= 87:
    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: 60
correctcode.trace.nested-v1conf 100% · 4.1s · $0.020 · 1289 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 * 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: 190
correctcode.trace.nested-v1conf 100% · 2.5s · $0.044 · 2877 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 275
correctcode.trace.js-v1conf 100% · 2.6s · $0.009 · 535 tok
question
What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 510
correctcode.trace.python-v1conf 100% · 2.6s · $0.008 · 497 tok
question
What does this Python program print?

```python
total = 0
v = 11
while total + v <= 69:
    if v % 6 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48
correctcode.trace.js-v1conf 100% · 4.2s · $0.010 · 605 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 378
correctcode.trace.python-v1conf 100% · 5.1s · $0.009 · 530 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 110:
    if v % 7 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 85
correctcode.trace.nested-v1conf 100% · 6.2s · $0.024 · 1560 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 == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 150
correctcode.trace.nested-v1anchorconf 100% · 5.7s · $0.037 · 2395 tok
model answer: 283
correctcode.trace.js-v1conf 100% · 4.8s · $0.004 · 228 tok
question
What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6, 7];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 168
correctcode.trace.js-v1anchorconf 100% · 6.6s · $0.006 · 375 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 819ms · $0.009 · 585 tok
model answer: 0
correctcode.trace.python-v1anchorconf 100% · 7.5s · $0.009 · 573 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 3.1s · $0.014 · 883 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "quartz" and the last word must be "zephyr".
3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz moonlit towers orbit the river while neon lanes orbit silent trams and glass roofs breathe over the sleeping city under soft haze zephyr
correctif.constraints.stack-v1conf 95% · 2.5s · $0.017 · 1102 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "falcon" and the last word must be "prism".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon tundra neon streets hum over glass towers while night buses cross the tundra prism
correctif.format.acronym-v1conf 100% · 2.5s · $0.005 · 271 tok
question
Take the second letter of each of these words, in order: prism, ember, tundra, flint, falcon, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: RMULAU
correctif.format.repeat-v1conf 100% · 2.9s · $0.005 · 289 tok
question
Write the word "falcon" 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: falcon/falcon/falcon/falcon/falcon
correctif.format.repeat-v1conf 100% · 2.5s · $0.020 · 1272 tok
question
Write the word "cedar" in uppercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR
correctif.format.acronym-v1conf 100% · 3.3s · $0.003 · 135 tok
question
Take the first letter of each of these words, in order: ember, drift, tundra, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EDTQ
correctif.constraints.stack-v1conf 100% · 2.6s · $0.019 · 1200 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "zephyr" and the last word must be "tundra".
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: zephyr over neon lanes cedar shelters cedar kiosks cedar scents drift past silent towers toward pale frost rimmed empty blue far tundra
correctif.constraints.stack-v1conf 100% · 2.7s · $0.027 · 1770 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 "zephyr" and the last word must be "flint".
3. Use the word "basalt" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr basalt streets drink soft night while basalt towers guard one sleeping city flint
correctif.format.acronym-v1conf 100% · 2.7s · $0.003 · 167 tok
question
Take the first letter of each of these words, in order: delta, echo, nova, cedar, flint, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DENCFQ
correctif.format.repeat-v1conf 100% · 2.6s · $0.008 · 479 tok
question
Write the word "drift" in uppercase form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DRIFT-DRIFT-DRIFT-DRIFT-DRIFT-DRIFT-DRIFT
correctif.constraints.stack-v1conf 100% · 2.8s · $0.013 · 792 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "orbit" and the last word must be "comet".
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 we cross delta plains and silent rivers toward delta dawn through endless night beyond every cold pale comet
correctif.format.acronym-v1conf 100% · 3.2s · $0.003 · 132 tok
question
Take the first letter of each of these words, in order: ember, tundra, prism, zephyr, echo, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ETPZEF
correctif.format.repeat-v1conf 100% · 2.7s · $0.004 · 252 tok
question
Write the word "orbit" in uppercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ORBIT_ORBIT_ORBIT_ORBIT_ORBIT
correctif.constraints.stack-v1conf 100% · 2.6s · $0.014 · 894 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "basalt" and the last word must be "orbit".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: basalt tundra streets glimmer while tundra towers hum above tundra rivers and the night trains slowly orbit
correctif.format.acronym-v1conf 100% · 2.4s · $0.007 · 409 tok
question
Take the second letter of each of these words, in order: delta, comet, ember, basalt, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EOMAU
correctif.format.repeat-v1conf 100% · 2.2s · $0.005 · 316 tok
question
Write the word "ember" in lowercase form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember_ember_ember_ember_ember_ember_ember_ember_ember
correctif.format.acronym-v1conf 100% · 2.7s · $0.003 · 176 tok
question
Take the first letter of each of these words, in order: orbit, basalt, tundra, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OBTL
correctif.constraints.stack-v1conf 100% · 3.7s · $0.011 · 667 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "falcon" and the last word must be "zephyr".
3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon over cold seas we drift past silent islands drift toward dawn through long nights and ancient stars zephyr
correctif.format.repeat-v1conf 100% · 3.1s · $0.006 · 349 tok
question
Write the word "echo" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo-echo-echo-echo-echo-echo-echo-echo
correctif.constraints.stack-v1conf 100% · 2.2s · $0.013 · 801 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "delta" and the last word must be "falcon".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: delta frost wakes slow windows nova pale bells drift over iced lanes nova soft breath curls near dim stoves nova dawn holds one falcon
correctif.format.acronym-v1conf 100% · 2.7s · $0.004 · 264 tok
question
Take the third letter of each of these words, in order: drift, prism, falcon, nova, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IILVP
correctif.format.repeat-v1conf 100% · 2.7s · $0.004 · 214 tok
question
Write the word "ember" in lowercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember_ember_ember
correctif.format.acronym-v1conf 100% · 4.3s · $0.004 · 244 tok
question
Take the second letter of each of these words, in order: comet, falcon, orbit, basalt, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OARAU
correctif.constraints.stack-v1conf 100% · 3.9s · $0.016 · 1006 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "quartz" and the last word must be "nova".
3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz lights drift over silent roads while neon rivers drift through glass towers and dark rooftops beneath one pale moonlit nova
correctif.format.repeat-v1conf 100% · 752ms · $0.007 · 418 tok
question
Write the word "cedar" in uppercase form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR
correctif.constraints.stack-v1anchorconf 100% · 2.2s · $0.018 · 1176 tok
model answer: drift through sleeping streets where lumen spills from windows lumen hums in alleys lumen guides tired taxis past midnight towers into soft slow orbit
correctif.format.acronym-v1conf 100% · 2.3s · $0.004 · 212 tok
question
Take the second letter of each of these words, in order: nova, ember, lumen, delta, 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: OMUEE
correctif.format.repeat-v1anchorconf 100% · 2.4s · $0.006 · 397 tok
model answer: Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echo
correctif.format.repeat-v1anchorconf 100% · 2.3s · $0.005 · 327 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 2.6s · $0.003 · 143 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 7.7s · $0.004 · 214 tok
question
Identify the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 3.8s · $0.002 · 116 tok
question
Name 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: Ankara
correctknowledge.fr.factbank-v2conf 100% · 3.0s · $0.003 · 150 tok
question
Name the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 3.4s · $0.004 · 221 tok
question
What is the writer of the novel "One Hundred Years of Solitude"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 2.4s · $0.001 · 63 tok
question
Identify 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: Canberra
correctknowledge.fr.factbank-v2conf 100% · 2.3s · $0.003 · 136 tok
question
Name the author of "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 7.8s · $0.002 · 94 tok
question
What is the element whose symbol is Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 2.6s · $0.003 · 188 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: Antimony
correctknowledge.fr.factbank-v2conf 100% · 6.5s · $0.002 · 110 tok
question
Name the author of "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 2.7s · $0.002 · 129 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 5.8s · $0.004 · 223 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 9.2s · $0.003 · 174 tok
question
Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 4.4s · $0.003 · 153 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: Ankara
correctknowledge.fr.factbank-v2conf 100% · 4.3s · $0.003 · 198 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: Canberra
correctknowledge.fr.factbank-v2conf 100% · 693ms · $0.003 · 150 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: Antimony
correctknowledge.fr.factbank-v2conf 100% · 5.4s · $0.002 · 121 tok
question
What is the author of "One Hundred Years of Solitude"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 930ms · $0.003 · 137 tok
question
Name the element whose symbol is W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 3.2s · $0.003 · 187 tok
question
Identify 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: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 2.5s · $0.003 · 182 tok
question
Name the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 5.2s · $0.004 · 232 tok
question
Identify the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 2.2s · $0.002 · 128 tok
question
Identify the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 3.2s · $0.002 · 106 tok
question
Name the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 2.7s · $0.003 · 157 tok
question
Identify the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 2.8s · $0.003 · 172 tok
question
Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 3.8s · $0.003 · 152 tok
question
What is the writer of the novel "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 3.0s · $0.004 · 223 tok
question
Name the element whose symbol is Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 2.5s · $0.003 · 189 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 5.3s · $0.003 · 192 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 3.5s · $0.003 · 158 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 100% · 2.4s · $0.001 · 38 tok
model answer: Antimony
math 30/30 correct
correctmath.chained.pipeline-v1conf 100% · 2.3s · $0.004 · 245 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 37 × 64.
Step 2: Q = P × 3 − 753.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 909
correctmath.percent.chain-v2conf 100% · 2.4s · $0.012 · 785 tok
question
An inventory starts at 64000 units. The warehouse was painted 11 years ago. In the first month the inventory grows by 34%. A rival firm shipped 87 unrelated parcels the same week. The next month it shrinks by 30%, and the month after it grows by 21%. 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: 72638.72
correctmath.counterfactual.base-v1conf 100% · 3.2s · $0.007 · 461 tok
question
Work strictly in base 11. Add the base-11 numbers 1323 and 1458. 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: 2780
correctmath.algebra.system-v2conf 100% · 2.7s · $0.004 · 226 tok
question
Solve the system, then answer the derived question.

5x + 9y = 272
4x − 7y = -322

What is the value of 5x − 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: -146
correctmath.arith.chain-v2conf 100% · 5.1s · $0.004 · 209 tok
question
Compute the value of the following expression.

(((24 × 72 − 281) × 8 + 4384) − 57 × 92) × 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: 21432
correctmath.chained.pipeline-v1conf 100% · 3.4s · $0.003 · 187 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 26 × 23.
Step 2: Q = P × 3 − 657.
Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 379
correctmath.percent.chain-v2conf 100% · 2.4s · $0.013 · 812 tok
question
An inventory starts at 67000 units. A rival firm shipped 137 unrelated parcels the same week. In the first month the inventory grows by 9%. The delivery van has a 132-liter fuel tank. The next month it shrinks by 40%, and the month after it grows by 21%. 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: 53019.78
correctmath.counterfactual.base-v1conf 100% · 2.3s · $0.009 · 574 tok
question
Work strictly in base 11. Multiply the base-11 numbers 77 and 27. 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: 1915
correctmath.arith.chain-v2conf 100% · 3.4s · $0.004 · 200 tok
question
Evaluate the expression below and give the result.

(((49 × 43 − 577) × 3 + 5361) − 75 × 56) × 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: 40257
correctmath.chained.pipeline-v1conf 100% · 5.8s · $0.005 · 326 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 43 × 61.
Step 2: Q = P × 5 − 131.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2600
correctmath.algebra.system-v2conf 100% · 3.5s · $0.003 · 135 tok
question
Solve the system, then answer the derived question.

6x + 3y = 9
8x − 2y = 30

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: 12
correctmath.percent.chain-v2conf 100% · 2.8s · $0.008 · 469 tok
question
An inventory starts at 49000 units. The warehouse was painted 95 years ago. In the first month the inventory grows by 12%. A rival firm shipped 79 unrelated parcels the same week. The next month it shrinks by 15%, and the month after it grows by 23%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 57377.04
correctmath.counterfactual.base-v1conf 100% · 617ms · $0.010 · 663 tok
question
Work strictly in base 7. Multiply the base-7 numbers 56 and 40. 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: 3230
correctmath.algebra.system-v2conf 100% · 2.4s · $0.003 · 176 tok
question
Solve the system, then answer the derived question.

4x + 4y = -88
8x − 3y = 66

What is the value of 5x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 66
correctmath.arith.chain-v2conf 100% · 3.9s · $0.003 · 190 tok
question
Evaluate the expression below and give the result.

(((70 × 32 − 262) × 3 + 6943) − 79 × 45) × 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: 37288
correctmath.percent.chain-v2conf 100% · 6.7s · $0.016 · 1021 tok
question
An inventory starts at 77000 units. The delivery van has a 47-liter fuel tank. In the first month the inventory grows by 14%. The warehouse was painted 18 years ago. The next month it shrinks by 15%, and the month after it grows by 29%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 96250.77
correctmath.chained.pipeline-v1conf 100% · 6.5s · $0.003 · 138 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 39 × 48.
Step 2: Q = P × 5 − 259.
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: 1013
correctmath.counterfactual.base-v1conf 100% · 2.8s · $0.007 · 455 tok
question
Work strictly in base 8. Add the base-8 numbers 3543 and 5542. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 11305
correctmath.algebra.system-v2conf 100% · 4.5s · $0.007 · 462 tok
question
Solve the system, then answer the derived question.

9x + 8y = 131
5x − 8y = 23

What is the value of 5x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 39
correctmath.arith.chain-v2conf 100% · 6.2s · $0.009 · 539 tok
question
Calculate the following. Show your reasoning, then answer.

(((97 × 71 − 740) × 9 + 6192) − 88 × 63) × 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: 391797
correctmath.chained.pipeline-v1conf 100% · 4.6s · $0.004 · 201 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 19 × 58.
Step 2: Q = P × 9 − 454.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1352
correctmath.counterfactual.base-v1conf 100% · 4.0s · $0.009 · 601 tok
question
Work strictly in base 9. Multiply the base-9 numbers 17 and 24. 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: 431
correctmath.percent.chain-v2conf 100% · 3.1s · $0.010 · 607 tok
question
An inventory starts at 42000 units. Each pallet weighs about 106 grams more when wet. In the first month the inventory grows by 28%. Each pallet weighs about 126 grams more when wet. The next month it shrinks by 6%, and the month after it grows by 30%. 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: 65694.72
correctmath.algebra.system-v2conf 100% · 2.6s · $0.004 · 218 tok
question
Solve the system, then answer the derived question.

6x + 6y = -24
2x − 4y = 154

What is the value of 2x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 127
correctmath.chained.pipeline-v1conf 100% · 7.6s · $0.003 · 157 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 68 × 34.
Step 2: Q = P × 6 − 418.
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: 2244
correctmath.arith.chain-v2conf 100% · 546ms · $0.004 · 218 tok
question
Evaluate the expression below and give the result.

(((32 × 78 − 701) × 7 + 6505) − 58 × 14) × 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: 127806
correctmath.percent.chain-v2anchorconf 100% · 7.7s · $0.016 · 1014 tok
model answer: 61896.52
correctmath.counterfactual.base-v1anchorconf 100% · 4.5s · $0.008 · 503 tok
model answer: 11236
correctmath.algebra.system-v2anchorconf 100% · 10.2s · $0.010 · 611 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 100% · 2.6s · $0.004 · 255 tok
model answer: 108153
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 2.6s · $0.005 · 316 tok
question
A number is written in French: « deux cent neuf ». Another is written in Spanish: « seiscientos 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: 815
correctmultilingual.wordnum-v1conf 100% · 2.8s · $0.007 · 408 tok
question
A number is written in French: « neuf cent quarante-deux ». Another is written in Spanish: « sesenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1005
correctmultilingual.numword-v2conf 100% · 1.1s · $0.007 · 446 tok
question
Compute 312 + 50, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent soixante-deux
correctmultilingual.wordnum-v1conf 100% · 3.2s · $0.007 · 411 tok
question
A number is written in French: « sept cent quatre-vingt-dix-huit ». Another is written in Spanish: « cuatrocientos setenta 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: 1277
correctmultilingual.numword-v2conf 100% · 1.4s · $0.005 · 325 tok
question
Compute 237 + 95, 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 treinta y dos
correctmultilingual.numword-v2conf 100% · 2.4s · $0.005 · 303 tok
question
Compute 251 + 368, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos diecinueve
correctmultilingual.wordnum-v1conf 100% · 3.3s · $0.008 · 516 tok
question
A number is written in French: « cent trente et un ». Another is written in Spanish: « trescientos dieciocho ». 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: -187
correctmultilingual.numword-v2conf 100% · 2.9s · $0.030 · 1935 tok
question
Compute 358 + 60, 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 dieciocho
correctmultilingual.numword-v2conf 100% · 2.9s · $0.004 · 239 tok
question
Compute 421 + 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: sept cent onze
correctmultilingual.numword-v2conf 100% · 2.5s · $0.014 · 928 tok
question
Compute 384 + 351, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: sept cent trente-cinq
correctmultilingual.wordnum-v1conf 100% · 2.2s · $0.003 · 153 tok
question
A number is written in French: « deux cent seize ». Another is written in Spanish: « quinientos cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -288
correctmultilingual.wordnum-v1conf 100% · 4.1s · $0.005 · 326 tok
question
A number is written in French: « cent soixante-dix-neuf ». Another is written in Spanish: « cuarenta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 138
correctmultilingual.numword-v2conf 100% · 2.6s · $0.004 · 229 tok
question
Compute 421 + 105, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos veintiséis
correctmultilingual.wordnum-v1conf 100% · 848ms · $0.005 · 293 tok
question
A number is written in French: « deux cent quatre-vingt-cinq ». Another is written in Spanish: « doscientos 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: 50
correctmultilingual.wordnum-v1conf 100% · 659ms · $0.005 · 290 tok
question
A number is written in French: « quatre cent sept ». Another is written in Spanish: « ochocientos cuarenta y dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1249
correctmultilingual.numword-v2conf 100% · 3.0s · $0.005 · 285 tok
question
Compute 499 + 294, 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 noventa y tres
correctmultilingual.wordnum-v1conf 100% · 2.5s · $0.003 · 173 tok
question
A number is written in French: « quatre cent trente ». Another is written in Spanish: « ciento cincuenta 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: 275
correctmultilingual.numword-v2conf 100% · 3.8s · $0.003 · 194 tok
question
Compute 469 + 170, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos treinta y nueve
correctmultilingual.wordnum-v1conf 100% · 4.1s · $0.003 · 163 tok
question
A number is written in French: « sept cent quatre-vingt-dix ». Another is written in Spanish: « trescientos 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: 1110
correctmultilingual.numword-v2conf 100% · 831ms · $0.008 · 505 tok
question
Compute 224 + 264, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent quatre-vingt-huit
correctmultilingual.wordnum-v1conf 100% · 2.6s · $0.003 · 169 tok
question
A number is written in French: « sept cent quarante-huit ». Another is written in Spanish: « seiscientos diecinueve ». 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: 1367
correctmultilingual.numword-v2conf 100% · 2.9s · $0.005 · 328 tok
question
Compute 328 + 71, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent quatre-vingt-dix-neuf
correctmultilingual.wordnum-v1conf 100% · 3.0s · $0.005 · 308 tok
question
A number is written in French: « sept cent huit ». Another is written in Spanish: « setecientos 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: 1425
correctmultilingual.numword-v2conf 100% · 2.4s · $0.004 · 216 tok
question
Compute 290 + 141, 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 treinta y uno
correctmultilingual.numword-v2conf 100% · 6.5s · $0.005 · 287 tok
question
Compute 84 + 329, 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 trece
correctmultilingual.wordnum-v1conf 100% · 4.0s · $0.003 · 167 tok
question
A number is written in French: « sept cent quatre-vingt-trois ». Another is written in Spanish: « novecientos treinta 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: 1719
correctmultilingual.wordnum-v1anchorconf 100% · 4.8s · $0.003 · 193 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 100% · 4.5s · $0.008 · 469 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 3.7s · $0.002 · 101 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 100% · 3.0s · $0.002 · 113 tok
model answer: seiscientos ocho
reasoning 29/30 correct
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.position-v1conf · · · tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Goran. Dara is number 3 in the queue. Goran is directly ahead of Dara. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 3.0s · $0.004 · 255 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Chen. Chen is number 4 in the queue. Ines is directly ahead of Emil. Liam is directly ahead of Ines. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.order-v2conf 100% · 4.1s · $0.005 · 304 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Tessa. Goran is older than Tessa. Quinn is older than Rosa. Sami is older than Quinn. Quinn is older than Tessa. Kira is faster than everyone here, but Kira is not being ranked. Quinn is older than Goran. Emil is older than Sami. Hana is older than Emil. Rosa is older 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: Sami
correctreasoning.deduction.position-v1conf 100% · 4.4s · $0.004 · 201 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Ola. Tessa is directly ahead of Mona. Mona is number 4 in the queue. Ola is directly ahead of Tessa. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 2.8s · $0.006 · 373 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Quinn. Mona is heavier than Liam. Tessa is heavier than Jonas. Mona is heavier than Quinn. Farah is heavier than Sami. Sami is heavier than Quinn. Mona is heavier than Quinn. Sami is heavier than Mona. Hana is faster than everyone here, but Hana is not being ranked. Jonas is heavier than Farah. 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: Farah
correctreasoning.deduction.order-v2conf 100% · 4.7s · $0.008 · 452 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is heavier than everyone here, but Nadir is not being ranked. Goran is faster than Ines. Dara is faster than Rosa. Emil is faster than Goran. Hana is faster than Rosa. Emil is faster than Ola. Ines is faster than Ola. Rosa is faster than Goran. Rosa is faster than Emil. Hana is faster than Dara. 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: Ines
correctreasoning.deduction.position-v1conf 100% · 5.9s · $0.004 · 205 tok
question
Four people stand in a queue (number 1 is the front). Kira is number 1 in the queue. Liam is directly ahead of Chen. Tessa is directly ahead of Liam. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.order-v2conf 100% · 5.5s · $0.006 · 334 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is heavier than everyone here, but Chen is not being ranked. Quinn is faster than Ola. Ola is faster than Tessa. Tessa is faster than Bruno. Dara is faster than Quinn. Bruno is faster than Emil. Bruno is faster than Liam. Quinn is faster than Emil. Emil is faster than Liam. Bruno is faster than Liam. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.order-v2conf 100% · 4.0s · $0.010 · 607 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Priya. Nadir is taller than everyone here, but Nadir is not being ranked. Jonas is faster than Emil. Priya is faster than Tessa. Goran is faster than Jonas. Hana is faster than Tessa. Ines is faster than Tessa. Priya is faster than Hana. Jonas is faster than Hana. Emil is faster than Ines. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.position-v1conf 100% · 4.0s · $0.006 · 370 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 3 in the queue. Goran is directly ahead of Jonas. Rosa is directly ahead of Goran. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.order-v2conf 100% · 3.4s · $0.007 · 391 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is heavier than everyone here, but Hana is not being ranked. Emil is older than Mona. Jonas is older than Ola. Farah is older than Alice. Alice is older than Bruno. Farah is older than Ola. Farah is older than Ola. Bruno is older than Jonas. Mona is older than Farah. Farah is older than Bruno. 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: Farah
correctreasoning.deduction.position-v1conf 100% · 2.3s · $0.003 · 175 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Dara. Kira is directly ahead of Tessa. Dara is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.order-v2conf 100% · 4.1s · $0.009 · 576 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Rosa. Rosa is faster than Alice. Farah is faster than Mona. Nadir is faster than Farah. Mona is faster than Quinn. Goran is faster than Farah. Hana is taller than everyone here, but Hana is not being ranked. Goran is faster than Quinn. Nadir is faster than Goran. Alice is faster than Mona. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 3.3s · $0.006 · 365 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 4 in the queue. Goran is directly ahead of Bruno. Farah is directly ahead of Sami. Bruno is directly ahead of Farah. 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: Sami
correctreasoning.deduction.order-v2conf 100% · 2.3s · $0.006 · 337 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Chen. Jonas is heavier than Ines. Dara is faster than everyone here, but Dara is not being ranked. Ola is heavier than Jonas. Hana is heavier than Ines. Alice is heavier than Jonas. Hana is heavier than Alice. Alice is heavier than Ola. Emil is heavier than Hana. Ines is heavier than Chen. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.position-v1conf 100% · 3.3s · $0.004 · 240 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Kira. Bruno is number 1 in the queue. Kira is directly ahead of Liam. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.order-v2conf 100% · 2.3s · $0.012 · 729 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is heavier than everyone here, but Bruno is not being ranked. Priya is older than Ines. Priya is older than Ola. Sami is older than Nadir. Dara is older than Nadir. Sami is older than Ines. Nadir is older than Ines. Farah is older than Dara. Ola is older than Sami. Dara is older than Priya. 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: Nadir
correctreasoning.deduction.position-v1conf 100% · 4.4s · $0.004 · 215 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Hana. Bruno is directly ahead of Nadir. Hana 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: Nadir
correctreasoning.deduction.order-v2conf 100% · 3.3s · $0.014 · 883 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Hana. Goran is older than everyone here, but Goran is not being ranked. Chen is heavier than Ola. Dara is heavier than Tessa. Tessa is heavier than Chen. Ola is heavier than Jonas. Dara is heavier than Tessa. Hana is heavier than Alice. Alice is heavier than Jonas. Alice is heavier than Tessa. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.position-v1conf 100% · 2.4s · $0.007 · 428 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 2 in the queue. Sami is directly ahead of Rosa. Mona is directly ahead of Bruno. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf 100% · 2.3s · $0.011 · 654 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Jonas is faster than Chen. Ines is faster than Liam. Dara is faster than Ines. Hana is faster than Liam. Chen is faster than Dara. Hana is faster than Jonas. Chen is faster than Ines. Sami is older than everyone here, but Sami is not being ranked. Ines is faster than Ola. Liam is faster than Ola. 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: Liam
correctreasoning.deduction.position-v1conf 100% · 2.2s · $0.004 · 244 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Priya. Quinn is number 1 in the queue. Priya is directly ahead of Alice. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.order-v2conf 100% · 4.9s · $0.006 · 358 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Priya is older than Farah. Hana is older than Mona. Rosa is older than Goran. Rosa is older than Mona. Goran is older than Hana. Emil is heavier than everyone here, but Emil is not being ranked. Sami is older than Farah. Farah is older than Rosa. Rosa is older than Mona. Sami is older than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 4.7s · $0.003 · 165 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Rosa. Rosa is directly ahead of Jonas. Jonas is directly ahead of Emil. Emil is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
correctreasoning.deduction.order-v2conf 100% · 4.1s · $0.009 · 554 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is taller than everyone here, but Tessa is not being ranked. Alice is faster than Jonas. Emil is faster than Jonas. Alice is faster than Liam. Quinn is faster than Bruno. Alice is faster than Jonas. Liam is faster than Jonas. Bruno is faster than Emil. Hana is faster than Alice. Liam is faster than Quinn. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1conf 100% · 5.5s · $0.004 · 214 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Mona. Bruno is directly ahead of Jonas. Jonas is directly ahead of Nadir. Mona is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.position-v1anchorconf 100% · 2.8s · $0.005 · 263 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 100% · 2.6s · $0.006 · 355 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 3.1s · $0.004 · 237 tok
model answer: Farah
correctreasoning.deduction.order-v2anchorconf 100% · 636ms · $0.006 · 323 tok
model answer: Mona
terminal 29/30 correct
correctterminal.exit.chain-v1conf 100% · 2.6s · $0.010 · 624 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f data.txt && echo A || echo B
test -f data.txt && echo C || echo D
false && echo E || echo F
test -f ghost.txt && echo G || echo H
test -f data.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F H Z exit:0
correctterminal.fs.tree-v1conf 100% · 2.5s · $0.013 · 774 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`):

```
/proj/draft.md
/proj/logs/index.log
/proj/src/report.cfg
/proj/src/todo.txt
/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 src/todo.txt logs/
touch logs/setup-7.txt
cd .
mv util.md todo-9.md
touch build/report-6.md
rm todo-9.md
cd src
mkdir -p conf-2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/report-6.md /proj/draft.md /proj/logs/index.log /proj/logs/setup-7.txt /proj/logs/todo.txt /proj/src/report.cfg
correctterminal.pipeline.predict-v1conf 100% · 3.4s · $0.006 · 336 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,sales,28,78
pam,sales,82,87
ned,eng,79,39
gus,eng,111,80
oli,legal,81,64
bo,eng,107,20
hal,ops,45,97
kim,hr,101,15
lou,sales,48,82
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 58 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.exit.chain-v1conf 100% · 2.4s · $0.015 · 928 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, dune (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E H exit:1
correctterminal.fs.tree-v1conf 100% · 2.7s · $0.012 · 723 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/conf`):

```
/proj/build/todo.cfg
/proj/conf/draft.md
/proj/setup.cfg
/proj/src/main.log
/proj/util.cfg
```

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

```sh
mkdir -p docs-1
mkdir -p docs-1/logs-8
rm build/todo.cfg
cd docs-1/logs-8
mkdir -p assets-5
mv ../../../proj/util.cfg ./
touch assets-5/notes-5.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/draft.md /proj/docs-1/logs-8/assets-5/notes-5.md /proj/docs-1/logs-8/util.cfg /proj/setup.cfg /proj/src/main.log
TimeoutError: The operation was aborted due to timeoutterminal.pipeline.predict-v1conf · · · tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,sales,4,25
oli,legal,61,31
fay,eng,9,22
ivy,ops,84,62
bo,hr,11,81
max,hr,74,34
dev,sales,107,28
lou,eng,102,84
jon,hr,34,28
gus,eng,59,87
cy,ops,41,47
kim,ops,111,93
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 71 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.pipeline.predict-v1conf 100% · 2.9s · $0.008 · 468 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,sales,97,79
gus,ops,30,32
max,ops,5,61
pam,legal,89,46
dev,legal,61,72
ana,ops,107,78
kim,sales,39,63
eli,eng,76,77
oli,legal,108,67
hal,legal,59,59
fay,sales,4,94
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: eli,76
correctterminal.exit.chain-v1conf 100% · 3.6s · $0.011 · 657 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F exit:1
correctterminal.fs.tree-v1conf 100% · 2.1s · $0.025 · 1628 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/logs`, `/proj/build`):

```
/proj/draft.log
/proj/logs/main.md
/proj/setup.md
/proj/src/report.md
/proj/src/util.txt
```

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

```sh
mkdir -p build-5
mkdir -p build-8
cd src
rm ../../proj/logs/main.md
cd ../../proj/build-8
mkdir -p ../../proj/build-5/build-2
rm ../../proj/setup.md
mv ../../proj/draft.log ../../proj/logs/
mkdir -p ../../proj/build/conf-5
```

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/logs/draft.log /proj/src/report.md /proj/src/util.txt
correctterminal.pipeline.predict-v1conf 100% · 3.0s · $0.006 · 323 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,sales,58,21
lou,hr,30,74
gus,legal,52,57
pam,hr,89,69
kim,ops,6,50
bo,eng,95,22
max,sales,15,58
ana,hr,120,65
oli,eng,39,64
jon,ops,106,97
cy,hr,54,33
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 3
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: oli,eng,39,64 bo,eng,95,22
correctterminal.exit.chain-v1conf 100% · 2.7s · $0.009 · 541 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E Z exit:0
correctterminal.fs.tree-v1conf 100% · 2.5s · $0.015 · 903 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/build`):

```
/proj/assets/setup.cfg
/proj/build/draft.cfg
/proj/index.cfg
/proj/logs/notes.txt
/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
touch util-6.log
rm assets/setup.cfg
rm main.log
rm util-6.log
cp build/draft.cfg assets/
mkdir -p assets/conf-8
touch util-3.txt
cd assets/conf-8
mkdir -p ../../../proj/logs/docs-8
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.cfg /proj/build/draft.cfg /proj/index.cfg /proj/logs/notes.txt /proj/util-3.txt
correctterminal.fs.tree-v1conf 100% · 3.1s · $0.019 · 1179 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/assets`, `/proj/build`):

```
/proj/assets/util.txt
/proj/main.txt
/proj/setup.txt
/proj/src/notes.log
/proj/src/todo.md
```

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

```sh
touch setup-5.md
mkdir -p build-9
mkdir -p build-9/build-3
cd build-9/build-3
rm ../../../proj/src/todo.md
rm ../../../proj/assets/util.txt
rm ../../../proj/setup-5.md
cd .
touch setup-8.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-9/build-3/setup-8.txt /proj/main.txt /proj/setup.txt /proj/src/notes.log
correctterminal.exit.chain-v1conf 100% · 2.2s · $0.006 · 360 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E exit:1
correctterminal.pipeline.predict-v1conf 100% · 3.0s · $0.009 · 520 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,eng,105,40
gus,legal,17,78
bo,eng,110,77
max,legal,77,84
ana,sales,54,10
ivy,hr,56,90
ned,sales,87,14
dev,hr,44,79
lou,hr,60,73
kim,ops,51,75
fay,eng,47,55
eli,legal,111,50
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 50 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.exit.chain-v1conf 100% · 2.8s · $0.012 · 741 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 data.txt && echo A || echo B
false && echo C || echo D
false && echo E || echo F
grep -q coral notes.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F G exit:1
correctterminal.fs.tree-v1conf 98% · 2.3s · $0.016 · 973 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/conf`):

```
/proj/build/setup.md
/proj/docs/main.log
/proj/docs/notes.txt
/proj/draft.cfg
/proj/report.txt
```

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

```sh
rm build/setup.md
touch docs/util-7.log
cp report.txt build/
mv docs/notes.txt conf/
cd docs
rm ../../proj/build/report.txt
cd .
rm ../../proj/draft.cfg
cd .
mv ../../proj/conf/notes.txt ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/docs/main.log /proj/docs/util-7.log /proj/notes.txt /proj/report.txt
correctterminal.pipeline.predict-v1conf 100% · 5.3s · $0.007 · 414 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,eng,16,25
eli,hr,27,24
ana,ops,79,46
hal,eng,86,20
fay,ops,118,16
dev,hr,39,72
pam,ops,91,28
max,eng,48,37
kim,ops,48,90
lou,eng,47,44
ivy,eng,82,43
bo,eng,31,70
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 57 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.exit.chain-v1conf 100% · 2.8s · $0.012 · 706 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q amber notes.txt && echo A || echo B
test -f data.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: B C E exit:1
correctterminal.fs.tree-v1conf 100% · 2.7s · $0.050 · 3305 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/logs`):

```
/proj/assets/todo.txt
/proj/docs/index.cfg
/proj/logs/report.md
/proj/main.cfg
/proj/setup.cfg
```

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

```sh
mv main.cfg logs/
cp logs/report.md assets/
touch draft-5.txt
cd assets
cd ../../proj
mv logs/main.cfg logs/
cd docs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report.md /proj/assets/todo.txt /proj/docs/index.cfg /proj/draft-5.txt /proj/logs/main.cfg /proj/logs/report.md /proj/setup.cfg
correctterminal.fs.tree-v1conf 99% · 3.2s · $0.025 · 1634 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/build`, `/proj/conf`):

```
/proj/conf/index.cfg
/proj/conf/setup.md
/proj/logs/todo.log
/proj/main.txt
/proj/util.log
```

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

```sh
cp conf/index.cfg build/
cp conf/index.cfg ./
cd logs
cp ../../proj/conf/setup.md ../../proj/build/
touch ../../proj/main-1.txt
mkdir -p conf-5
mv todo.log ../../proj/build/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/index.cfg /proj/build/setup.md /proj/build/todo.log /proj/conf/index.cfg /proj/conf/setup.md /proj/index.cfg /proj/main-1.txt /proj/main.txt /proj/util.log
correctterminal.pipeline.predict-v1conf 100% · 2.6s · $0.011 · 643 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,hr,80,60
eli,eng,99,88
ivy,ops,50,89
max,sales,62,62
kim,eng,22,42
lou,eng,29,90
pam,eng,90,91
gus,ops,53,30
bo,hr,78,37
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: pam,eng,90,91 eli,eng,99,88
correctterminal.exit.chain-v1conf 100% · 5.9s · $0.012 · 745 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
grep -q basil notes.txt && echo A || echo B
true && echo C || echo D
test -f tmp.txt && echo E || echo F
true && echo G || echo H
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F G Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 2.4s · $0.007 · 419 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,hr,120,78
kim,eng,38,55
pam,hr,116,89
lou,hr,20,46
cy,sales,86,34
bo,hr,52,54
ned,legal,21,18
ivy,hr,105,80
fay,hr,58,14
hal,ops,20,97
```

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: 471
correctterminal.exit.chain-v1conf 100% · 3.4s · $0.015 · 929 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E H exit:1
correctterminal.fs.tree-v1conf 99% · 5.5s · $0.027 · 1737 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/logs`, `/proj/docs`):

```
/proj/draft.log
/proj/logs/index.log
/proj/logs/main.cfg
/proj/src/notes.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 util-8.md
cd docs
mkdir -p ../../proj/src/conf-9
cd .
mkdir -p ../../proj/src/conf-9/build-4
mv ../../proj/logs/index.log ../../proj/
cp ../../proj/src/notes.md ./
mv ../../proj/index.log ../../proj/src/conf-9/build-4/
cd ../../proj/src/conf-9
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/docs/notes.md /proj/draft.log /proj/logs/main.cfg /proj/src/conf-9/build-4/index.log /proj/src/notes.md /proj/util-8.md
correctterminal.pipeline.predict-v1anchorconf 100% · 3.4s · $0.016 · 1003 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.exit.chain-v1anchorconf 100% · 3.5s · $0.009 · 565 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 100% · 4.0s · $0.013 · 816 tok
model answer: 1
correctterminal.fs.tree-v1anchorconf 100% · 6.0s · $0.011 · 677 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
vision ocr 29/30 correct
correctvision.ocr.table-read-v1conf 99% · 3.7s · $0.005 · 147 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: 28
correctvision.ocr.code-hunt-v1conf 96% · 4.7s · $0.005 · 159 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: RFCAAUJW
correctvision.ocr.table-read-v1conf 95% · 3.8s · $0.006 · 200 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: 57
correctvision.ocr.code-hunt-v1conf 96% · 3.7s · $0.006 · 206 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 47YP4W9C
correctvision.ocr.table-read-v1conf 98% · 4.7s · $0.006 · 182 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: 186
correctvision.ocr.code-hunt-v1conf 96% · 4.6s · $0.005 · 120 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: FWFME4P
correctvision.ocr.table-read-v1conf 100% · 5.7s · $0.005 · 134 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: 47
correctvision.ocr.code-hunt-v1conf 98% · 4.2s · $0.005 · 115 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PEH73E
correctvision.ocr.table-read-v1conf 100% · 4.5s · $0.006 · 213 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: 72
correctvision.ocr.code-hunt-v1conf 97% · 4.3s · $0.005 · 126 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: ATJ9XMTU
correctvision.ocr.table-read-v1conf 95% · 3.8s · $0.006 · 211 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: 94
correctvision.ocr.code-hunt-v1conf 85% · 4.8s · $0.008 · 343 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: VUFHMF
correctvision.ocr.table-read-v1conf 100% · 4.0s · $0.005 · 125 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: 67
correctvision.ocr.code-hunt-v1conf 99% · 5.2s · $0.005 · 139 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: TRDPUT9
correctvision.ocr.table-read-v1conf 95% · 4.1s · $0.007 · 265 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: 93
correctvision.ocr.table-read-v1conf 99% · 4.2s · $0.006 · 199 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: 50
correctvision.ocr.code-hunt-v1conf 95% · 604ms · $0.004 · 87 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: P4RKFMAP
correctvision.ocr.table-read-v1conf 95% · 5.8s · $0.007 · 250 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: 134
correctvision.ocr.code-hunt-v1conf 98% · 1.5s · $0.004 · 76 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: HUPVYT
correctvision.ocr.code-hunt-v1conf 95% · 4.5s · $0.005 · 142 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: KH94PRTX
correctvision.ocr.table-read-v1conf 99% · 5.7s · $0.006 · 212 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: 166
correctvision.ocr.code-hunt-v1conf 95% · 4.2s · $0.004 · 88 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: EY4C4X
correctvision.ocr.table-read-v1conf 98% · 4.4s · $0.005 · 144 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: 93
correctvision.ocr.code-hunt-v1conf 98% · 5.5s · $0.005 · 174 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: W7HH9E
correctvision.ocr.table-read-v1conf 96% · 4.8s · $0.006 · 211 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: 89
wrongvision.ocr.code-hunt-v1anchorconf 72% · 4.0s · $0.017 · 946 tok
model answer: YH9E4AWF
correctvision.ocr.code-hunt-v1conf 92% · 1.1s · $0.006 · 176 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: V7AYNFP
correctvision.ocr.table-read-v1anchorconf 96% · 3.8s · $0.007 · 236 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 96% · 3.7s · $0.005 · 154 tok
model answer: VX7993D
correctvision.ocr.table-read-v1anchorconf 98% · 4.2s · $0.005 · 144 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit812
  • 2026-08-05v0.2.0index_fit812
  • 2026-08-05v0.2.0index_fit812
  • 2026-08-05v0.2.0index_fit812
  • 2026-08-05v0.2.0index_fit812
  • 2026-08-05v0.2.0index_fit815
  • 2026-08-05v0.2.0index_fit816
  • 2026-08-05v0.2.0index_fit817
  • 2026-08-05v0.2.0index_fit818
  • 2026-08-05v0.2.0index_fit819
  • 2026-08-05v0.2.0index_fit820
  • 2026-08-05v0.2.0index_fit817
  • 2026-08-05v0.2.0index_fit816
  • 2026-08-05v0.2.0index_fit816
  • 2026-08-05v0.2.0index_fit817
  • 2026-08-05v0.2.0index_fit818
  • 2026-08-05v0.2.0index_fit818
  • 2026-08-05v0.2.0index_fit818
  • 2026-08-05v0.2.0index_fit817
  • 2026-08-05v0.2.0index_fit815