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google/gemini-3.1-flash-lite-preview · google · context 1 048 576 · in $0.250/1M · out $1.50/1M
Global Index
733
95% CI [686–780] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 619 [515–724] | 0.486 | 0.78 | 0.60 | 0.000 | 393ms | $0.551 | |
| code | 814 [691–938] | 0.753 | 0.97 | 0.97 | 0.038 | 402ms | $0.851 | |
| instruction following | 573 [461–684] | 0.451 | 0.83 | 0.70 | 0.058 | 430ms | $0.120 | |
| knowledge | 728 [555–900] | 0.546 | 1.00 | 1.00 | 0.000 | 401ms | $0.042 | |
| math | 843 [693–994] | 0.743 | 0.98 | 1.00 | 0.000 | 465ms | $0.452 | |
| multilingual | 824 [662–986] | 0.706 | 1.00 | 1.00 | 0.000 | 391ms | $0.113 | |
| reasoning | 733 [588–877] | 0.666 | 0.98 | 0.93 | 0.077 | 384ms | $0.257 | |
| terminal | 778 [672–885] | 0.668 | 0.98 | 0.80 | 0.000 | 407ms | $0.498 | |
| vision ocr | 685 [520–850] | 0.535 | 0.98 | 0.97 | 0.040 | 1.1s | $0.409 |
Every answer, every test
Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.
agentic 18/30 correct
correctagentic.tools.ledger-v1conf 100% · 329ms · $0.000 · 185 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: $667
- alpha: $648
- lima: $178
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $337 from "alpha" to "lima"
2. pay $285 from "delta" to "lima"
3. pay $534 from "alpha" to "delta"
4. pay $194 from "alpha" to "lima"
5. pay $361 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 337}},
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 285}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 223}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 534}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 194}},
{"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 194}},
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 361}}
]correctagentic.tools.triage-v1conf 100% · 403ms · $0.000 · 205 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- auth → chen
- infra → tanaka
INCIDENTS:
1. "export file corrupted" (category: data, priority 6)
2. "SSO loop on login" (category: auth, priority 3)
3. "export file corrupted" (category: data, priority 6)
4. "dashboard shows stale numbers" (category: data, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}}
]wrongagentic.tools.context-load-v1conf 100% · 447ms · $0.001 · 113 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 (251 records, format: id|customer|region|item|qty|status):
```
1656|ionic|south|gasket|22|shipped
2083|gale|west|sensor|74|paid
1403|cobalt|south|gasket|49|pending
2071|juno|east|cable|37|pending
1869|dorian|east|sensor|44|paid
1962|ionic|south|cable|23|held
2102|fulton|north|gasket|70|held
1724|cobalt|west|pump|45|pending
2119|gale|north|sensor|19|held
1475|acme|south|panel|59|shipped
1880|ember|west|rotor|68|held
2002|dorian|south|valve|51|held
1472|fulton|south|sensor|16|paid
1448|ionic|east|frame|88|pending
1187|gale|south|panel|59|held
1239|gale|north|rotor|97|shipped
2125|gale|east|frame|87|shipped
1295|acme|east|cable|54|held
1332|dorian|west|panel|78|pending
1450|ionic|west|sensor|67|pending
1615|juno|south|cable|95|shipped
1455|cobalt|south|cable|22|pending
2095|cobalt|east|panel|24|pending
1397|birch|west|rotor|19|shipped
1807|juno|west|frame|31|held
1645|birch|west|cable|14|shipped
1272|gale|south|gasket|93|held
1345|gale|west|gasket|84|paid
1207|dorian|south|valve|99|paid
1400|juno|south|cable|50|shipped
1287|dorian|west|frame|51|paid
1349|gale|west|panel|60|paid
1733|harbor|north|pump|41|paid
1323|acme|east|panel|37|shipped
1266|juno|west|pump|71|pending
1742|fulton|east|frame|64|pending
1353|acme|north|rotor|59|shipped
1252|cobalt|east|gasket|97|held
1881|dorian|south|panel|15|paid
1289|acme|north|pump|78|shipped
1722|cobalt|south|gasket|84|shipped
1549|harbor|west|pump|27|paid
1529|gale|east|cable|11|paid
1702|juno|west|valve|77|held
1408|ionic|south|valve|86|shipped
1667|juno|north|gasket|86|paid
1905|ionic|north|valve|84|held
1423|birch|west|cable|64|shipped
2072|birch|south|rotor|25|pending
1752|juno|north|cable|11|shipped
1956|dorian|north|sensor|33|paid
1641|ember|west|sensor|90|shipped
1966|cobalt|west|cable|95|shipped
1336|acme|north|frame|66|pending
1304|ember|north|sensor|99|shipped
1163|cobalt|west|pump|19|pending
1199|fulton|south|cable|22|pending
1439|ionic|north|pump|71|held
1245|cobalt|north|valve|41|pending
1833|birch|west|gasket|13|paid
1169|cobalt|east|valve|74|pending
1575|cobalt|north|cable|66|held
1416|harbor|west|rotor|29|shipped
1799|ionic|south|frame|24|shipped
1576|dorian|east|panel|75|pending
1767|birch|west|panel|64|shipped
1518|birch|west|sensor|87|shipped
1920|fulton|north|valve|97|held
2090|gale|north|rotor|29|shipped
1832|gale|north|rotor|52|shipped
1192|acme|east|panel|98|held
1405|harbor|north|rotor|32|pending
1587|birch|north|frame|20|shipped
1635|harbor|east|frame|10|shipped
1596|fulton|west|panel|16|paid
1798|ember|south|valve|84|held
2031|birch|west|frame|76|shipped
2101|ionic|north|pump|70|shipped
1975|ionic|west|sensor|95|paid
1900|cobalt|west|gasket|73|shipped
1286|acme|east|rotor|79|paid
1330|juno|west|pump|94|held
1714|dorian|north|valve|52|pending
1276|ionic|south|pump|95|held
1526|gale|east|gasket|34|paid
2030|gale|north|sensor|76|pending
1666|ionic|east|rotor|27|paid
1179|cobalt|north|sensor|78|pending
1993|harbor|east|pump|34|shipped
2000|gale|south|pump|92|pending
1912|acme|west|rotor|77|shipped
1662|dorian|west|gasket|19|shipped
1411|ionic|west|valve|81|held
1531|juno|north|valve|20|pending
1386|harbor|west|panel|50|paid
1444|acme|east|panel|16|paid
1237|ionic|west|sensor|35|held
1327|gale|north|panel|61|pending
1259|juno|west|gasket|45|paid
2038|ionic|south|sensor|39|held
1761|juno|south|frame|51|shipped
1608|ember|east|sensor|24|paid
2080|acme|east|sensor|94|shipped
1674|cobalt|west|sensor|67|pending
1558|cobalt|west|sensor|49|held
2062|acme|east|panel|33|pending
1780|harbor|east|valve|96|pending
1589|acme|south|frame|62|held
1432|ionic|west|rotor|50|shipped
1301|gale|west|pump|99|pending
1843|gale|south|pump|35|held
1894|ionic|south|panel|32|shipped
1537|cobalt|west|frame|98|paid
1396|birch|east|sensor|52|paid
1429|cobalt|north|frame|65|pending
1350|dorian|south|valve|34|paid
2051|harbor|west|valve|56|paid
1492|harbor|south|pump|70|held
1756|birch|west|sensor|19|paid
1318|dorian|east|frame|17|pending
1172|cobalt|west|panel|72|held
1145|cobalt|west|pump|74|pending
1294|ember|west|valve|39|paid
1887|acme|south|valve|22|shipped
1216|ionic|east|frame|69|pending
1281|cobalt|east|rotor|93|held
2017|ember|east|sensor|64|held
2061|fulton|west|cable|21|pending
1984|cobalt|west|frame|16|pending
1987|harbor|east|rotor|53|held
1183|cobalt|west|sensor|49|shipped
1551|ionic|north|cable|82|shipped
1512|dorian|west|pump|15|held
2097|acme|east|gasket|12|pending
1393|ionic|south|panel|67|shipped
1735|dorian|north|rotor|72|paid
2109|acme|east|gasket|45|held
1857|fulton|east|frame|55|held
2027|gale|west|sensor|39|held
1375|acme|south|cable|37|paid
1842|gale|west|panel|89|shipped
1602|cobalt|east|sensor|49|pending
1951|juno|north|cable|45|shipped
1152|cobalt|north|gasket|87|pending
1282|birch|west|gasket|60|shipped
2114|cobalt|north|rotor|42|held
1505|juno|south|gasket|44|pending
1778|harbor|north|rotor|80|paid
1824|dorian|east|pump|31|shipped
1927|dorian|east|pump|53|paid
1219|ember|south|gasket|91|held
1686|dorian|south|cable|92|paid
1309|cobalt|south|panel|33|held
1622|dorian|west|frame|97|shipped
1374|cobalt|north|gasket|53|shipped
1698|acme|east|valve|70|held
2056|dorian|east|sensor|24|held
1837|acme|south|pump|96|pending
1939|birch|west|rotor|45|held
2070|birch|east|valve|63|paid
1466|dorian|north|rotor|35|held
1536|birch|north|cable|87|paid
1268|birch|south|frame|62|pending
1787|fulton|south|sensor|92|paid
1992|cobalt|south|panel|58|paid
1713|fulton|south|frame|26|shipped
1548|juno|south|sensor|98|pending
1731|ionic|east|pump|30|paid
1948|dorian|north|gasket|81|held
1360|dorian|east|sensor|47|paid
1818|harbor|north|rotor|23|held
1290|harbor|west|valve|69|held
1864|cobalt|south|rotor|57|pending
1480|dorian|north|panel|13|shipped
1352|juno|east|valve|61|held
1820|ionic|north|cable|25|shipped
1280|juno|north|valve|42|paid
1685|gale|north|rotor|65|paid
1915|juno|west|valve|28|shipped
1929|cobalt|north|gasket|72|held
1486|fulton|west|panel|54|held
2018|ionic|south|frame|33|pending
1402|ionic|east|valve|24|held
1935|harbor|west|panel|11|held
1981|acme|east|gasket|60|held
2111|acme|west|pump|54|held
1277|birch|south|gasket|40|shipped
1610|juno|east|valve|10|shipped
1850|acme|south|frame|18|held
1366|juno|west|frame|91|paid
1941|ionic|west|gasket|33|paid
1716|gale|west|cable|37|pending
1703|acme|south|valve|31|paid
1797|birch|south|frame|12|shipped
1973|ionic|south|gasket|89|pending
1765|gale|north|valve|27|shipped
1211|harbor|north|rotor|75|paid
1814|juno|east|pump|14|held
1422|gale|west|panel|10|held
1459|ionic|west|cable|95|paid
1395|juno|north|valve|22|pending
1581|fulton|north|frame|31|pending
2069|fulton|east|valve|83|shipped
1672|fulton|west|sensor|90|shipped
1986|dorian|north|sensor|26|pending
2073|harbor|north|panel|54|shipped
1794|ember|south|sensor|87|shipped
1639|harbor|east|gasket|56|held
2042|fulton|east|pump|87|pending
1270|harbor|east|cable|68|shipped
1231|birch|south|rotor|22|held
1525|juno|east|frame|20|paid
1771|gale|north|cable|47|shipped
1342|birch|east|cable|20|shipped
1311|ember|east|gasket|40|shipped
1647|birch|south|panel|27|paid
1381|harbor|west|frame|91|pending
1494|ionic|east|cable|47|shipped
1651|cobalt|west|rotor|85|pending
2047|harbor|south|rotor|60|pending
2015|ionic|north|panel|13|held
1554|ember|west|pump|15|pending
1727|fulton|south|sensor|15|pending
2078|harbor|east|pump|78|pending
1424|cobalt|west|sensor|96|held
1175|cobalt|west|pump|86|pending
1156|cobalt|west|rotor|41|held
1498|ionic|north|rotor|66|paid
1371|cobalt|east|valve|58|held
1224|cobalt|south|rotor|28|pending
2132|fulton|south|frame|54|pending
1569|gale|north|valve|33|held
1736|harbor|east|cable|82|pending
1692|cobalt|east|valve|49|paid
1628|birch|east|frame|58|held
2023|harbor|south|sensor|31|shipped
1776|cobalt|south|pump|69|paid
1827|cobalt|north|valve|90|held
1337|dorian|south|sensor|80|shipped
1541|ionic|north|rotor|34|paid
1681|harbor|east|valve|84|pending
1707|fulton|south|valve|82|held
2008|ember|north|rotor|19|shipped
1206|cobalt|south|pump|57|pending
1562|harbor|south|pump|84|paid
1873|ember|west|pump|16|paid
1539|dorian|west|pump|71|pending
1748|juno|north|frame|55|shipped
1468|gale|east|gasket|26|held
1570|gale|east|frame|43|pending
1800|gale|east|cable|81|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1145}},
{"tool": "cancel_order", "args": {"order_id": 1163}},
{"tool": "restock", "args": {"item": "sensor", "qty": 67}},
{"tool": "restock", "args": {"item": "cable", "qty": 95}},
{"tool": "restock", "args": {"item": "rotor", "qty": 85}},
{"tool": "cancel_order", "args": {"order_id": 1984}}
]correctagentic.tools.deploy-v1conf 100% · 361ms · $0.000 · 61 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: billing
- search: auth-svc, billing
- billing: (none)
- auth-svc: 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": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}}
]wrongagentic.tools.ledger-v1conf 100% · 340ms · $0.000 · 187 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: $229
- alpha: $696
- kilo: $204
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $224 from "echo" to "kilo"
2. pay $404 from "alpha" to "echo"
3. pay $396 from "echo" to "kilo"
4. pay $236 from "echo" to "kilo"
5. pay $267 from "echo" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 224}},
{"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 404}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 7}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 396}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 236}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 267}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 267}}
]correctagentic.tools.triage-v1conf 100% · 392ms · $0.000 · 199 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → chen
- payments → tanaka
- data → novak
INCIDENTS:
1. "API latency spikes" (category: infra, priority 2)
2. "invoice total wrong" (category: payments, priority 5)
3. "invoice total wrong" (category: payments, priority 5)
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": "API latency spikes", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}}
]wrongagentic.tools.context-load-v1conf 100% · 389ms · $0.001 · 138 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 (244 records, format: id|customer|region|item|qty|status):
```
1926|ionic|east|pump|74|shipped
2090|juno|south|sensor|44|held
1938|cobalt|west|rotor|95|held
2127|juno|west|cable|93|pending
1924|ionic|north|frame|79|held
2228|ember|east|rotor|19|held
1893|cobalt|east|sensor|22|shipped
2054|birch|east|rotor|32|paid
1745|acme|west|pump|67|held
2022|birch|south|sensor|95|shipped
2259|gale|north|sensor|24|pending
1642|ember|west|panel|46|pending
1625|birch|south|panel|88|held
2170|fulton|east|valve|20|held
2227|harbor|east|sensor|65|held
2004|cobalt|south|valve|75|pending
1481|harbor|west|pump|12|pending
1447|juno|east|rotor|70|shipped
1759|birch|north|gasket|45|held
1847|fulton|east|valve|61|paid
1949|birch|south|valve|35|held
1697|dorian|south|frame|57|shipped
1623|dorian|east|frame|42|paid
1593|acme|south|pump|29|held
1769|ember|north|frame|50|shipped
2009|gale|north|rotor|90|pending
2244|dorian|south|sensor|91|pending
1588|fulton|south|valve|78|pending
2029|birch|south|sensor|50|paid
1545|gale|south|sensor|87|paid
1449|cobalt|west|cable|10|paid
1659|ember|south|pump|54|paid
1707|acme|south|frame|84|shipped
1764|ember|south|sensor|22|pending
1652|harbor|north|rotor|14|paid
2071|ember|north|cable|97|held
1527|ember|east|cable|74|shipped
2154|juno|south|rotor|38|shipped
2289|ember|west|gasket|74|paid
2297|cobalt|north|panel|28|held
2148|ionic|west|panel|65|paid
1929|ionic|east|rotor|41|held
1986|harbor|west|frame|92|shipped
2201|juno|west|rotor|55|held
2093|birch|south|pump|29|paid
1582|dorian|north|cable|33|held
1904|dorian|west|cable|14|held
1911|harbor|west|rotor|30|paid
1410|ionic|north|rotor|75|pending
1921|fulton|east|valve|21|pending
2085|dorian|west|frame|14|shipped
1651|gale|west|gasket|69|pending
2091|harbor|north|rotor|44|held
2220|harbor|west|pump|97|paid
1506|gale|north|panel|63|held
1603|harbor|east|valve|61|held
1600|acme|west|frame|37|shipped
1570|acme|east|valve|24|shipped
1494|birch|west|gasket|12|paid
1384|fulton|north|cable|77|pending
1464|cobalt|east|frame|86|paid
1876|birch|south|gasket|58|pending
2065|dorian|south|sensor|82|held
1918|harbor|south|gasket|59|held
2250|ember|north|valve|74|paid
1868|acme|north|gasket|64|pending
1396|cobalt|west|valve|99|paid
2114|ionic|east|cable|23|pending
1628|juno|north|pump|17|paid
1440|ember|west|panel|61|shipped
1556|harbor|west|frame|84|pending
1905|cobalt|east|cable|55|paid
1983|fulton|south|cable|47|held
1617|fulton|east|frame|73|shipped
2286|cobalt|north|panel|25|held
1689|birch|west|rotor|63|paid
1711|ember|south|rotor|93|held
1737|juno|south|cable|93|held
2024|dorian|east|gasket|17|held
2000|birch|west|panel|12|paid
1566|ionic|east|valve|22|paid
1839|ionic|west|frame|14|paid
1817|juno|west|rotor|40|shipped
1741|juno|west|sensor|29|pending
1972|ionic|east|rotor|23|shipped
1391|birch|south|pump|43|pending
1823|ionic|west|cable|45|shipped
2267|dorian|north|pump|68|paid
1773|birch|south|sensor|90|pending
2180|juno|east|gasket|52|pending
1354|fulton|west|cable|63|pending
1942|ionic|east|valve|19|paid
1487|harbor|west|cable|37|pending
1589|dorian|north|valve|84|paid
2100|acme|west|pump|43|pending
2285|dorian|south|rotor|25|paid
1562|cobalt|south|frame|41|paid
1540|cobalt|west|pump|67|held
1498|fulton|west|gasket|47|paid
1852|ember|south|valve|17|shipped
1516|dorian|west|gasket|31|paid
1758|ember|north|cable|99|shipped
1688|fulton|west|panel|55|pending
2139|gale|south|valve|96|pending
1370|fulton|east|cable|61|pending
2040|fulton|east|rotor|37|shipped
1803|harbor|west|frame|86|pending
1554|birch|north|pump|38|shipped
1753|ionic|west|pump|51|paid
2097|dorian|west|gasket|46|pending
1756|gale|south|pump|71|paid
1401|birch|west|rotor|87|held
1731|ionic|south|sensor|21|pending
1796|acme|north|frame|44|held
1690|acme|east|valve|27|paid
1932|harbor|west|valve|16|paid
2218|fulton|west|sensor|12|shipped
1827|juno|east|frame|61|shipped
1739|birch|west|gasket|73|pending
1956|ionic|west|gasket|35|held
1664|birch|north|valve|75|held
1613|dorian|east|rotor|44|paid
1520|gale|north|pump|32|held
1517|ionic|north|pump|92|pending
2272|dorian|west|cable|66|shipped
2192|acme|north|panel|56|shipped
2296|ionic|north|rotor|15|shipped
1597|juno|north|pump|99|held
1717|acme|west|rotor|75|pending
1576|juno|west|pump|97|paid
1698|cobalt|east|sensor|53|pending
2035|fulton|west|sensor|31|pending
2252|cobalt|east|valve|91|paid
2010|harbor|north|cable|67|paid
1922|juno|north|rotor|71|held
1544|juno|west|panel|86|paid
1841|gale|east|valve|63|held
2146|birch|south|gasket|20|paid
2214|acme|east|cable|63|shipped
1810|dorian|east|rotor|75|pending
2128|harbor|west|valve|20|held
1978|cobalt|north|frame|10|pending
1997|ember|east|panel|78|held
1780|gale|north|sensor|89|paid
1541|ionic|west|valve|70|pending
1975|ember|south|panel|90|shipped
1470|cobalt|south|frame|55|paid
1670|dorian|south|panel|30|shipped
1495|dorian|south|gasket|21|paid
1991|ember|north|cable|10|pending
1908|dorian|south|cable|84|held
1898|dorian|west|frame|84|shipped
1473|ember|west|gasket|86|paid
2241|acme|east|panel|14|held
1435|harbor|south|rotor|62|pending
1683|gale|west|frame|95|pending
2078|harbor|north|panel|60|held
1845|acme|north|pump|71|pending
1414|ember|north|rotor|32|pending
2115|ionic|west|panel|10|shipped
1899|cobalt|east|panel|76|shipped
1644|juno|south|pump|67|paid
1785|acme|west|sensor|57|pending
2205|fulton|north|cable|51|shipped
2161|ionic|north|cable|63|shipped
2121|fulton|north|valve|21|pending
1920|birch|east|rotor|74|pending
2198|ionic|east|rotor|62|paid
1608|acme|east|gasket|84|pending
1857|dorian|north|cable|49|paid
2027|dorian|north|sensor|86|held
1403|harbor|west|pump|98|held
1595|ionic|west|valve|74|held
2303|cobalt|east|frame|94|pending
1429|ember|south|pump|36|pending
1610|ionic|east|rotor|41|paid
1624|juno|west|sensor|21|pending
2208|ember|west|pump|73|held
1422|dorian|east|pump|72|shipped
1359|fulton|south|gasket|85|paid
1536|ember|east|panel|88|shipped
2166|harbor|west|valve|65|held
2051|cobalt|west|frame|94|held
1513|fulton|south|panel|56|paid
2107|gale|east|pump|15|paid
1372|fulton|south|rotor|78|shipped
1883|ember|east|pump|96|paid
2279|juno|north|valve|31|pending
1416|ionic|south|panel|36|pending
2018|harbor|west|pump|42|pending
2256|gale|north|cable|42|pending
1461|gale|south|gasket|71|pending
1832|fulton|west|sensor|35|paid
1928|gale|east|gasket|89|pending
2222|fulton|south|panel|49|pending
1385|fulton|south|cable|99|held
1634|acme|north|frame|72|pending
1793|birch|east|rotor|85|held
1393|birch|south|panel|75|paid
1511|harbor|south|pump|13|held
2235|birch|north|cable|94|shipped
1347|fulton|south|frame|25|pending
1475|cobalt|west|sensor|21|held
1970|fulton|west|sensor|72|paid
1364|fulton|south|pump|19|pending
1820|acme|east|panel|80|paid
1746|birch|north|valve|23|held
2249|cobalt|north|cable|14|pending
2058|birch|west|cable|72|shipped
1961|juno|south|valve|99|pending
2265|harbor|north|panel|17|shipped
2186|dorian|north|panel|23|held
2174|birch|south|cable|20|held
1404|fulton|north|rotor|13|shipped
1880|dorian|south|cable|74|pending
1864|harbor|north|frame|38|held
1966|fulton|west|sensor|66|pending
2016|birch|west|panel|65|held
1503|acme|north|gasket|14|paid
1724|harbor|west|sensor|89|paid
2176|ionic|west|rotor|39|shipped
2046|gale|east|panel|96|held
2070|fulton|south|sensor|89|held
1703|juno|west|cable|22|held
1492|ember|south|cable|17|pending
1641|cobalt|south|panel|67|shipped
1552|dorian|south|rotor|46|shipped
1609|acme|west|sensor|22|pending
1377|fulton|south|frame|52|pending
1736|gale|east|frame|40|pending
1653|fulton|west|frame|41|paid
1888|gale|east|cable|32|paid
1491|cobalt|south|cable|44|shipped
2118|gale|south|gasket|95|shipped
1871|harbor|south|sensor|78|shipped
1791|cobalt|west|valve|28|held
1907|ionic|north|pump|20|shipped
1558|acme|south|panel|44|shipped
1455|gale|south|sensor|56|paid
1532|gale|west|rotor|31|pending
1485|dorian|west|pump|63|pending
1677|juno|north|gasket|67|shipped
2103|dorian|north|panel|22|shipped
2132|birch|east|rotor|79|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 47, 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": 1364}},
{"tool": "restock", "args": {"item": "gasket", "qty": 85}},
{"tool": "restock", "args": {"item": "rotor", "qty": 78}},
{"tool": "restock", "args": {"item": "cable", "qty": 99}},
{"tool": "restock", "args": {"item": "panel", "qty": 56}},
{"tool": "restock", "args": {"item": "sensor", "qty": 89}},
{"tool": "restock", "args": {"item": "panel", "qty": 49}}
]correctagentic.tools.deploy-v1conf 100% · 419ms · $0.000 · 59 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: reports
- reports: (none)
- 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 "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": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 337ms · $0.000 · 185 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $536
- kilo: $270
- oscar: $848
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $268 from "lima" to "oscar"
2. pay $543 from "lima" to "oscar"
3. pay $294 from "lima" to "oscar"
4. pay $543 from "kilo" 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": "lima", "to": "oscar", "amount": 268}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 275}},
{"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 543}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 294}},
{"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 294}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 273}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 543}}
]wrongagentic.tools.context-load-v1conf 100% · 419ms · $0.002 · 306 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 (288 records, format: id|customer|region|item|qty|status):
```
1861|fulton|west|rotor|36|paid
1754|cobalt|west|valve|73|held
1566|cobalt|south|sensor|34|pending
2267|birch|north|panel|68|pending
2183|ember|north|frame|25|shipped
2276|ionic|west|gasket|46|paid
2059|fulton|west|pump|92|shipped
1778|juno|west|panel|85|pending
1751|gale|south|gasket|24|shipped
1841|dorian|west|cable|20|shipped
1733|ionic|east|pump|68|pending
1613|harbor|south|cable|33|pending
1443|fulton|east|panel|84|pending
2087|acme|east|panel|17|shipped
1738|ember|east|sensor|21|shipped
1526|fulton|south|pump|36|held
1704|dorian|north|valve|53|shipped
1797|fulton|north|cable|59|held
1964|dorian|north|gasket|36|held
1500|gale|north|cable|32|paid
1548|cobalt|west|pump|43|held
2118|dorian|south|frame|17|held
1589|juno|east|panel|66|pending
1248|fulton|west|gasket|94|shipped
1835|harbor|south|sensor|74|paid
1300|gale|east|pump|51|pending
2116|fulton|west|cable|48|shipped
2237|dorian|east|valve|47|held
2014|ionic|south|panel|14|held
1796|juno|east|sensor|90|held
2154|fulton|west|frame|42|pending
1699|birch|south|rotor|96|held
2295|acme|south|rotor|44|held
2215|cobalt|east|cable|65|paid
1955|ionic|east|panel|44|pending
1824|fulton|south|rotor|31|held
1326|birch|north|cable|62|shipped
1351|ember|south|frame|18|paid
2233|gale|east|pump|25|shipped
2062|gale|north|frame|86|pending
1971|birch|west|cable|73|shipped
1742|juno|south|frame|84|held
2047|harbor|north|panel|54|shipped
2298|ionic|south|valve|90|held
2024|juno|east|panel|31|shipped
1851|dorian|east|frame|44|shipped
2200|harbor|south|sensor|98|held
2135|cobalt|east|frame|20|pending
1267|acme|south|frame|29|held
1856|birch|south|valve|83|held
1635|dorian|west|rotor|48|shipped
2327|juno|south|cable|67|held
1486|ionic|east|gasket|12|paid
1298|birch|east|cable|21|shipped
1355|juno|west|cable|92|shipped
1630|dorian|east|cable|63|pending
1692|juno|north|valve|91|shipped
1518|ember|south|pump|56|shipped
1708|harbor|west|valve|58|pending
2038|harbor|east|sensor|10|pending
1574|cobalt|west|valve|96|pending
2096|gale|east|cable|22|pending
2307|birch|east|rotor|73|paid
1228|fulton|west|valve|52|pending
1813|ember|east|cable|80|held
2218|harbor|north|sensor|52|shipped
1472|dorian|west|cable|84|pending
1654|fulton|west|panel|80|shipped
2208|cobalt|south|sensor|43|paid
1933|juno|east|cable|45|paid
1893|ember|east|gasket|56|pending
2083|dorian|west|frame|75|held
1513|juno|west|panel|22|held
2035|ionic|east|pump|42|pending
1887|juno|north|valve|21|pending
1517|birch|south|cable|94|pending
2042|dorian|north|pump|88|pending
1682|dorian|north|cable|48|held
2345|fulton|west|valve|24|held
2192|ionic|south|cable|21|held
1545|dorian|south|rotor|90|held
1430|ionic|east|gasket|68|held
1961|ionic|north|rotor|96|held
1332|juno|north|frame|55|shipped
1249|fulton|west|panel|69|pending
2075|birch|east|valve|72|pending
1551|juno|south|sensor|14|held
1292|juno|south|pump|29|held
1817|harbor|north|pump|40|shipped
2284|ionic|south|cable|76|shipped
1621|harbor|east|gasket|31|pending
2300|juno|north|sensor|96|held
2007|gale|west|cable|77|held
1775|juno|west|cable|21|paid
1374|acme|west|valve|19|paid
1307|acme|south|valve|91|shipped
2005|juno|south|gasket|19|shipped
2231|gale|north|frame|56|pending
2232|cobalt|north|pump|55|pending
1453|birch|south|panel|96|held
1832|ember|west|valve|56|held
1941|gale|south|cable|94|pending
1452|juno|west|valve|70|pending
2189|birch|east|sensor|99|paid
1845|acme|west|panel|80|pending
1446|harbor|west|sensor|52|pending
2198|ionic|north|cable|71|pending
2292|birch|south|panel|48|pending
1395|fulton|east|panel|50|pending
2081|ionic|east|sensor|87|pending
1675|fulton|south|cable|98|pending
2000|harbor|south|panel|92|pending
1270|fulton|south|rotor|71|pending
2113|dorian|west|rotor|72|shipped
1529|ember|north|cable|83|pending
1347|ionic|north|valve|62|paid
1947|gale|north|sensor|24|held
1265|acme|east|valve|58|pending
1583|juno|south|sensor|84|paid
2141|fulton|north|frame|71|paid
2069|gale|north|frame|30|held
1321|gale|east|cable|91|held
1794|gale|north|frame|17|pending
1652|gale|west|valve|75|held
1424|acme|west|cable|36|shipped
1282|birch|east|sensor|85|paid
1839|ember|north|panel|13|paid
1539|birch|west|valve|44|shipped
2225|gale|north|sensor|91|shipped
1471|ionic|south|rotor|74|paid
2177|birch|north|panel|54|pending
2347|cobalt|west|panel|22|held
1264|acme|west|pump|71|shipped
1940|birch|north|valve|79|shipped
1506|cobalt|east|pump|69|shipped
1663|juno|north|valve|53|paid
2279|ember|east|gasket|13|held
1379|fulton|west|rotor|82|held
1912|juno|east|pump|66|paid
1365|acme|west|gasket|20|pending
1745|juno|north|panel|58|shipped
1250|fulton|south|gasket|29|pending
1340|ember|west|valve|34|pending
1386|juno|west|valve|73|held
1233|fulton|east|gasket|56|pending
1907|acme|west|sensor|21|pending
1301|cobalt|west|pump|15|paid
1527|juno|west|cable|63|shipped
1921|acme|south|pump|60|pending
1807|dorian|west|rotor|82|held
1883|fulton|south|frame|79|paid
1899|gale|north|sensor|90|pending
1956|fulton|south|pump|16|shipped
1387|dorian|east|gasket|67|shipped
1362|juno|east|sensor|38|pending
1410|dorian|south|pump|99|paid
1677|cobalt|west|gasket|60|held
2348|acme|west|panel|84|paid
1607|ionic|north|cable|23|shipped
1469|harbor|east|sensor|49|paid
2103|harbor|west|frame|86|shipped
1981|fulton|north|pump|80|held
1787|ember|east|cable|43|pending
1966|fulton|north|cable|47|held
2271|juno|east|cable|75|pending
1985|dorian|north|pump|54|paid
1495|fulton|west|rotor|69|shipped
1481|ionic|south|rotor|15|shipped
1945|cobalt|north|valve|65|held
1417|juno|west|gasket|19|paid
1825|gale|west|gasket|41|held
1711|ionic|east|cable|95|pending
1623|ember|south|rotor|35|held
1728|birch|south|pump|13|shipped
1914|fulton|south|pump|15|pending
1910|ionic|west|gasket|91|shipped
1277|juno|east|sensor|94|paid
1729|acme|north|valve|97|held
1289|dorian|east|sensor|32|paid
1337|birch|west|sensor|39|paid
1769|juno|south|gasket|63|held
1840|juno|east|sensor|19|pending
1536|acme|north|cable|64|pending
1763|fulton|south|valve|87|pending
1512|harbor|west|pump|79|paid
2244|dorian|east|cable|80|paid
2263|birch|north|frame|45|pending
1397|juno|north|sensor|41|shipped
2316|gale|north|panel|90|held
1727|gale|south|valve|90|pending
1546|fulton|west|panel|34|shipped
1785|acme|west|valve|88|pending
2334|birch|west|panel|58|paid
1596|ember|west|valve|86|pending
1951|ionic|south|pump|28|paid
1259|ionic|north|panel|98|held
2161|fulton|west|rotor|57|pending
1254|fulton|west|gasket|32|paid
2044|dorian|north|panel|88|paid
1978|harbor|east|rotor|87|held
1492|harbor|south|rotor|79|shipped
2134|dorian|west|frame|55|shipped
1885|gale|south|rotor|90|pending
1462|fulton|south|gasket|29|shipped
1684|juno|west|rotor|85|pending
1592|ionic|south|pump|96|shipped
1802|acme|north|frame|83|held
1482|fulton|north|sensor|54|shipped
1686|ember|west|pump|38|held
2167|dorian|north|frame|89|shipped
2022|ionic|east|frame|84|held
1420|harbor|north|cable|52|pending
2341|ember|east|gasket|64|pending
1902|gale|south|sensor|16|held
1239|fulton|west|sensor|92|pending
2313|cobalt|south|rotor|29|held
2147|juno|south|pump|59|pending
1391|dorian|south|cable|18|held
2318|birch|west|panel|55|paid
1314|ember|north|cable|90|pending
2254|ember|south|valve|29|paid
1580|dorian|north|rotor|87|paid
1705|ember|north|panel|11|held
1668|cobalt|east|sensor|29|pending
1993|acme|east|panel|90|shipped
1572|cobalt|north|gasket|64|held
2190|ember|east|rotor|29|shipped
1293|cobalt|east|valve|11|held
1660|cobalt|east|sensor|61|held
1244|fulton|south|cable|30|pending
1720|ionic|east|rotor|59|pending
1438|gale|north|cable|96|pending
1437|ionic|east|cable|32|shipped
1812|acme|west|valve|52|shipped
1646|gale|east|valve|92|paid
1987|acme|north|cable|64|pending
1930|ember|north|sensor|35|shipped
2325|cobalt|east|panel|29|held
1375|ionic|south|panel|30|pending
2041|dorian|north|panel|55|pending
1627|ionic|west|cable|14|held
2243|ionic|east|sensor|73|paid
1756|harbor|east|gasket|19|held
1996|ember|north|valve|66|pending
2070|ionic|east|rotor|92|held
1478|ember|north|pump|27|pending
1934|birch|west|pump|45|shipped
1561|cobalt|south|cable|51|shipped
2346|birch|north|gasket|57|pending
2052|gale|west|gasket|91|pending
1540|dorian|east|pump|68|shipped
1339|ember|west|panel|76|held
2020|gale|south|rotor|56|held
2126|cobalt|west|panel|45|shipped
2120|juno|south|valve|31|paid
2151|birch|east|pump|42|paid
1877|fulton|north|sensor|88|paid
2171|acme|south|pump|49|held
1718|birch|west|valve|17|pending
1873|ember|north|panel|82|shipped
2247|cobalt|north|frame|35|shipped
2107|ionic|west|pump|45|held
2322|ember|north|panel|80|shipped
1601|gale|east|rotor|92|pending
1863|acme|north|pump|28|shipped
2262|birch|west|panel|74|pending
2028|fulton|west|cable|44|held
1238|fulton|west|gasket|66|paid
2256|ember|south|cable|80|pending
1640|birch|south|panel|18|paid
1869|gale|south|cable|26|shipped
1404|fulton|west|rotor|93|held
1511|harbor|north|gasket|96|paid
2080|acme|east|panel|64|held
1618|acme|west|panel|82|pending
2206|birch|north|frame|95|paid
2128|ionic|south|gasket|55|paid
1555|ionic|north|frame|42|shipped
1266|fulton|west|sensor|18|pending
1273|cobalt|east|rotor|74|paid
1458|ember|west|pump|64|pending
2286|ember|north|valve|39|pending
1884|ember|north|cable|53|pending
1923|ember|east|frame|56|pending
2091|cobalt|east|frame|35|shipped
1520|harbor|west|sensor|79|paid
1473|dorian|north|cable|85|pending
1367|juno|south|gasket|26|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "west" 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:
[
{"tool": "restock", "args": {"item": "sensor", "qty": 92}},
{"tool": "restock", "args": {"item": "panel", "qty": 69}},
{"tool": "cancel_order", "args": {"order_id": 1266}},
{"tool": "cancel_order", "args": {"order_id": 2154}},
{"tool": "restock", "args": {"item": "rotor", "qty": 57}}
]correctagentic.tools.triage-v1conf 100% · 445ms · $0.000 · 194 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- data → silva
- auth → okafor
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "SSO loop on login" (category: auth, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}
]correctagentic.tools.deploy-v1conf 100% · 423ms · $0.000 · 54 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- gateway: billing, search
- billing: reports, search
- search: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}}
]wrongagentic.tools.ledger-v1conf 100% · 443ms · $0.000 · 159 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: $541
- delta: $808
- tango: $888
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $431 from "delta" to "kilo"
2. pay $166 from "tango" to "delta"
3. pay $354 from "delta" to "kilo"
4. pay $150 from "delta" to "kilo"
5. pay $546 from "kilo" 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": "kilo", "amount": 431}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 166}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 354}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 133}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 150}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 546}}
]correctagentic.tools.triage-v1conf 100% · 393ms · $0.000 · 236 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → tanaka
- data → dubois
- payments → silva
INCIDENTS:
1. "cannot reset password" (category: auth, priority 3)
2. "cannot reset password" (category: auth, priority 3)
3. "refund double-charged" (category: payments, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "silva"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 439ms · $0.001 · 41 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 (278 records, format: id|customer|region|item|qty|status):
```
1538|ionic|north|valve|16|pending
1786|acme|west|frame|82|pending
2427|cobalt|east|valve|32|shipped
2273|juno|west|frame|15|paid
2261|cobalt|east|valve|40|pending
2148|fulton|east|gasket|18|shipped
2241|acme|south|gasket|20|shipped
1591|juno|north|gasket|30|paid
1873|juno|south|panel|19|pending
1620|harbor|south|frame|71|pending
1395|ember|south|frame|85|pending
1764|harbor|south|panel|12|pending
1491|ionic|east|gasket|23|pending
2077|ionic|west|sensor|50|paid
1791|juno|north|panel|86|pending
1435|cobalt|south|panel|85|pending
1961|acme|north|pump|37|pending
1376|ember|west|sensor|90|pending
2293|juno|north|rotor|90|paid
2207|harbor|north|rotor|37|held
1705|birch|west|sensor|20|pending
2074|harbor|east|frame|57|paid
2391|dorian|north|sensor|93|shipped
1976|acme|east|frame|30|pending
1712|fulton|west|rotor|74|held
2420|cobalt|west|cable|19|shipped
1577|cobalt|west|sensor|41|pending
2174|juno|west|cable|70|held
1924|birch|north|gasket|17|pending
2231|ionic|west|pump|33|pending
2109|ionic|south|cable|87|shipped
1817|ionic|east|cable|93|shipped
2051|gale|south|panel|79|shipped
1754|birch|east|valve|23|paid
2248|harbor|east|panel|90|shipped
1690|cobalt|east|pump|37|held
2200|gale|south|sensor|67|paid
2006|ember|south|valve|17|paid
2367|ember|north|frame|49|paid
1930|birch|north|gasket|95|pending
1660|dorian|south|frame|51|paid
2414|ember|east|panel|17|paid
1922|acme|west|sensor|94|paid
1557|ionic|west|panel|80|shipped
2185|dorian|north|cable|73|pending
2304|gale|north|pump|57|paid
2088|ionic|north|pump|30|paid
2154|ember|west|pump|43|shipped
1437|fulton|west|frame|70|shipped
1365|ember|north|valve|55|pending
2470|gale|west|gasket|30|shipped
1504|dorian|east|cable|62|held
2118|gale|east|gasket|55|pending
1373|ember|north|panel|60|pending
1449|ember|north|rotor|71|held
1479|gale|south|panel|62|held
1956|gale|east|pump|45|pending
2060|ionic|east|gasket|27|shipped
2110|fulton|south|pump|58|paid
1998|fulton|north|rotor|22|shipped
1466|cobalt|north|frame|54|paid
2117|ionic|north|sensor|54|paid
1447|dorian|east|sensor|26|paid
2138|cobalt|west|gasket|67|shipped
1901|juno|north|panel|21|held
1530|acme|west|pump|54|paid
2196|fulton|north|valve|89|paid
1746|cobalt|east|rotor|21|held
1985|harbor|north|panel|34|paid
1897|ember|east|cable|91|pending
1384|ember|north|pump|97|pending
2195|gale|north|panel|73|shipped
1648|juno|north|valve|33|pending
2406|dorian|south|frame|41|pending
2460|harbor|south|sensor|33|shipped
2213|harbor|south|frame|29|held
2374|fulton|west|sensor|10|paid
1984|ionic|north|sensor|54|paid
1421|cobalt|east|valve|36|paid
1800|birch|south|panel|13|shipped
2449|acme|east|sensor|67|held
1431|acme|west|cable|68|paid
1862|acme|north|pump|33|pending
1841|fulton|north|valve|60|held
1753|ember|east|valve|59|held
1618|juno|west|rotor|85|held
2388|acme|north|rotor|60|shipped
1573|ember|west|sensor|86|shipped
2156|dorian|west|gasket|30|pending
1385|ember|south|valve|55|pending
1634|birch|west|pump|51|shipped
1580|dorian|east|pump|35|held
2446|gale|south|sensor|30|held
2188|cobalt|west|valve|91|paid
1981|cobalt|west|cable|21|pending
2466|birch|east|valve|83|held
2026|gale|west|sensor|13|shipped
2011|juno|west|cable|94|paid
1699|dorian|north|panel|92|paid
1714|harbor|south|panel|32|pending
2007|fulton|east|gasket|64|paid
2271|ionic|north|valve|89|held
1834|dorian|south|sensor|14|shipped
2232|harbor|west|valve|53|pending
1935|acme|west|valve|37|paid
1526|birch|south|cable|98|shipped
2008|ionic|east|valve|47|held
1673|harbor|east|rotor|18|pending
1945|gale|south|cable|53|held
1608|fulton|east|frame|47|pending
2003|gale|east|gasket|14|pending
2397|cobalt|north|cable|13|paid
2062|dorian|north|cable|20|pending
1840|juno|east|sensor|65|paid
2190|ember|west|cable|37|held
2300|dorian|north|panel|55|paid
1966|ember|north|rotor|55|held
1563|cobalt|south|sensor|41|pending
1716|fulton|west|rotor|37|paid
1680|birch|north|pump|82|held
2409|ionic|south|cable|21|held
1462|dorian|north|frame|58|paid
1912|cobalt|south|rotor|98|shipped
2018|harbor|east|panel|82|paid
2073|ionic|east|cable|93|pending
1403|ember|north|cable|27|pending
1780|ember|west|valve|63|paid
1821|gale|east|valve|98|pending
2278|dorian|north|rotor|81|held
1955|acme|west|sensor|69|paid
2308|ember|east|rotor|28|held
2268|gale|west|cable|72|shipped
2274|fulton|east|frame|84|paid
1413|ember|north|pump|30|paid
1567|birch|east|pump|70|paid
2124|juno|north|sensor|75|shipped
2032|acme|south|frame|93|shipped
2035|acme|east|pump|76|pending
1388|ember|north|rotor|17|pending
2177|ember|south|valve|91|held
1507|birch|east|gasket|66|shipped
1455|juno|south|rotor|54|pending
1626|birch|west|gasket|39|pending
1871|ember|west|sensor|71|pending
2434|cobalt|west|frame|51|shipped
1550|acme|west|panel|70|held
2009|juno|west|valve|42|shipped
1951|cobalt|west|gasket|61|shipped
2291|acme|south|panel|99|pending
1603|fulton|east|gasket|26|pending
2353|harbor|south|frame|57|shipped
1631|cobalt|north|panel|45|paid
1810|juno|east|sensor|62|paid
2021|juno|west|gasket|43|paid
1490|acme|east|frame|65|paid
1683|ionic|south|gasket|35|pending
1554|ionic|west|sensor|15|pending
2366|harbor|south|valve|28|pending
2454|ionic|north|panel|41|paid
1728|fulton|south|frame|12|held
1368|ember|west|sensor|26|pending
2141|harbor|south|valve|31|shipped
1382|ember|north|gasket|32|shipped
2459|cobalt|south|valve|76|shipped
1771|fulton|south|valve|30|pending
1654|cobalt|south|sensor|51|paid
2318|dorian|south|valve|64|pending
2224|ionic|south|sensor|80|held
2322|ember|south|gasket|21|shipped
2345|fulton|west|gasket|90|pending
1535|dorian|east|valve|83|shipped
2382|gale|north|pump|76|pending
2316|dorian|east|panel|36|paid
1991|dorian|north|frame|62|shipped
1604|harbor|north|valve|70|shipped
1484|juno|north|cable|64|paid
1522|ionic|north|sensor|16|shipped
2220|gale|north|pump|34|held
1370|ember|north|rotor|36|paid
1492|cobalt|north|rotor|85|shipped
2440|gale|south|gasket|33|pending
2342|ionic|north|pump|56|held
1606|acme|south|cable|67|pending
1773|ember|east|pump|73|shipped
1513|gale|west|sensor|55|pending
1973|harbor|east|sensor|39|paid
1429|cobalt|north|rotor|12|pending
2478|cobalt|east|valve|60|held
1582|dorian|north|pump|31|held
1387|ember|north|panel|51|shipped
1777|fulton|south|gasket|17|shipped
1672|juno|east|panel|12|pending
1472|gale|east|cable|49|held
1730|juno|north|rotor|80|pending
1958|cobalt|south|sensor|87|pending
2082|birch|south|valve|76|paid
1406|ember|south|sensor|60|pending
1441|harbor|north|rotor|61|pending
1585|cobalt|south|cable|27|shipped
2042|dorian|west|frame|16|held
2428|ionic|east|cable|79|pending
1644|juno|east|sensor|47|held
1544|cobalt|south|cable|58|pending
1598|acme|east|cable|40|held
1877|acme|south|frame|26|paid
1695|ionic|north|rotor|90|paid
2206|fulton|west|pump|74|shipped
1844|dorian|north|sensor|99|paid
2332|ember|south|cable|38|shipped
1892|harbor|north|valve|10|shipped
1722|birch|north|cable|34|pending
1540|acme|east|gasket|54|pending
1664|juno|south|cable|82|pending
1662|harbor|west|valve|90|pending
1741|ember|west|rotor|79|pending
2046|fulton|north|rotor|95|paid
1640|fulton|south|rotor|91|held
1856|harbor|south|gasket|15|held
1906|fulton|west|sensor|14|pending
1760|birch|west|gasket|46|paid
2309|acme|east|cable|10|held
1478|birch|north|panel|68|paid
1516|juno|north|rotor|24|held
1967|ionic|south|cable|34|pending
2102|fulton|south|cable|57|paid
1940|ionic|south|cable|43|paid
1827|dorian|south|rotor|18|pending
2294|dorian|north|sensor|11|shipped
2472|birch|east|pump|39|shipped
2251|gale|west|panel|97|shipped
2337|ember|east|gasket|54|pending
1795|ember|south|rotor|82|shipped
1419|ionic|east|valve|32|pending
1727|ember|south|cable|22|paid
1499|acme|east|rotor|21|pending
2283|juno|south|frame|48|pending
2039|acme|north|pump|79|shipped
1944|cobalt|south|rotor|43|shipped
2058|acme|west|panel|38|shipped
1797|acme|east|frame|22|shipped
1670|ember|south|sensor|81|pending
1805|gale|north|frame|83|paid
2347|juno|north|gasket|31|held
1793|juno|west|pump|41|shipped
2403|ember|east|rotor|53|shipped
1792|birch|west|panel|85|shipped
2002|juno|east|valve|64|paid
1917|birch|north|panel|71|shipped
1612|acme|west|cable|25|shipped
1882|birch|east|frame|12|shipped
2163|gale|north|frame|98|shipped
2475|ionic|north|sensor|66|shipped
2255|acme|east|cable|74|held
2130|ember|north|gasket|21|shipped
2095|fulton|east|pump|38|held
2187|fulton|east|cable|28|pending
1428|birch|west|sensor|94|pending
2132|gale|west|sensor|20|pending
2170|ember|north|valve|23|paid
1414|cobalt|west|pump|80|shipped
1865|acme|east|cable|43|shipped
1616|juno|north|valve|55|paid
2359|dorian|east|gasket|36|paid
2182|ionic|east|valve|24|shipped
2237|harbor|east|cable|24|pending
1886|ionic|north|sensor|44|paid
2443|harbor|north|rotor|83|shipped
1851|dorian|west|frame|52|shipped
1663|birch|north|frame|43|held
1762|fulton|north|gasket|96|pending
1398|ember|north|frame|49|shipped
2069|harbor|south|sensor|20|pending
1736|acme|north|panel|19|paid
2326|acme|south|gasket|58|shipped
2289|birch|south|pump|29|held
2380|dorian|north|valve|48|pending
1651|fulton|west|frame|20|pending
2335|harbor|south|pump|93|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1373}},
{"tool": "restock", "args": {"item": "pump", "qty": 97}},
{"tool": "cancel_order", "args": {"order_id": 1388}},
{"tool": "cancel_order", "args": {"order_id": 1403}}
]correctagentic.tools.deploy-v1conf 100% · 379ms · $0.000 · 61 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: reports
- notifier: reports, search
- search: (none)
- reports: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.ledger-v1conf 100% · 315ms · $0.001 · 261 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: $354
- tango: $886
- oscar: $684
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $575 from "bravo" to "oscar"
2. pay $285 from "oscar" to "bravo"
3. pay $429 from "bravo" to "oscar"
4. pay $265 from "bravo" to "oscar"
5. pay $242 from "bravo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 221}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 575}},
{"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 285}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 283}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 429}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 265}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 265}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 242}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 242}}
]correctagentic.tools.triage-v1conf 100% · 367ms · $0.000 · 150 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → haddad
- data → silva
- infra → chen
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 4)
2. "records missing after import" (category: data, priority 6)
3. "SSO loop on login" (category: auth, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1conf 100% · 413ms · $0.001 · 42 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 (209 records, format: id|customer|region|item|qty|status):
```
1133|ionic|north|frame|30|held
1351|ember|south|gasket|21|paid
1663|dorian|south|gasket|84|pending
1389|fulton|north|frame|81|held
1699|fulton|south|gasket|11|paid
1188|ember|north|sensor|76|pending
1841|dorian|south|pump|34|shipped
1367|gale|south|frame|49|paid
1770|acme|south|panel|38|shipped
1368|cobalt|south|panel|38|held
1394|fulton|east|pump|87|paid
1254|cobalt|north|cable|94|paid
1178|dorian|east|gasket|20|pending
1120|harbor|north|rotor|36|paid
1572|harbor|east|rotor|60|held
1830|gale|west|frame|23|shipped
1677|acme|north|sensor|68|paid
1287|acme|west|frame|42|shipped
1827|fulton|north|gasket|74|pending
1203|ionic|south|valve|15|held
1594|ionic|south|rotor|15|shipped
1421|dorian|south|pump|43|pending
1493|harbor|north|panel|71|shipped
1354|birch|north|panel|71|shipped
1232|ember|east|panel|22|shipped
1601|cobalt|west|frame|72|shipped
1723|juno|west|sensor|59|held
1647|acme|south|pump|86|shipped
1226|ionic|north|sensor|13|pending
1825|birch|west|sensor|86|paid
1515|acme|south|sensor|33|paid
1067|juno|south|gasket|66|pending
1668|gale|south|gasket|85|shipped
1605|fulton|west|gasket|74|held
1339|ember|west|frame|71|shipped
1317|gale|north|pump|72|pending
1707|cobalt|south|sensor|98|shipped
1403|juno|east|frame|84|shipped
1432|gale|west|gasket|30|shipped
1313|fulton|north|valve|43|held
1695|fulton|north|pump|23|paid
1450|acme|east|valve|62|pending
1580|juno|south|panel|26|shipped
1256|birch|east|panel|46|shipped
1645|cobalt|west|cable|38|pending
1731|juno|east|panel|71|paid
1527|cobalt|south|gasket|29|held
1282|juno|east|gasket|83|held
1433|harbor|south|valve|46|pending
1479|fulton|south|panel|50|pending
1360|ember|south|frame|72|pending
1624|ionic|north|frame|10|pending
1047|birch|south|sensor|16|held
1627|harbor|south|cable|44|paid
1754|fulton|north|pump|71|pending
1821|cobalt|east|rotor|35|paid
1486|acme|east|gasket|48|paid
1333|ember|south|frame|69|shipped
1253|harbor|east|pump|20|shipped
1621|ionic|west|panel|51|held
1786|acme|west|gasket|49|shipped
1010|acme|west|frame|47|pending
1041|acme|west|sensor|26|paid
1384|ionic|north|frame|33|paid
1200|acme|west|rotor|27|held
1307|juno|west|sensor|17|pending
1639|dorian|north|valve|57|paid
1105|gale|south|rotor|70|shipped
1657|harbor|west|pump|65|held
1211|ember|south|cable|81|pending
1765|harbor|north|cable|79|shipped
1777|dorian|east|rotor|54|paid
1398|acme|east|pump|91|shipped
1459|acme|west|rotor|99|held
1176|harbor|south|valve|80|held
1150|cobalt|west|sensor|33|pending
1270|juno|west|cable|45|pending
1414|birch|east|gasket|16|held
1376|harbor|west|rotor|93|held
1407|birch|north|panel|43|shipped
1778|cobalt|east|pump|88|shipped
1216|acme|east|sensor|92|pending
1790|gale|north|panel|35|pending
1101|juno|west|gasket|86|shipped
1796|ember|north|cable|68|paid
1799|fulton|west|valve|93|held
1644|fulton|east|cable|42|shipped
1785|acme|east|valve|84|pending
1573|fulton|south|panel|19|paid
1300|dorian|south|frame|42|held
1412|gale|north|sensor|41|pending
1127|ember|north|rotor|43|held
1617|ionic|east|pump|89|shipped
1054|cobalt|north|panel|17|pending
1783|harbor|south|panel|93|pending
1614|dorian|south|gasket|70|paid
1494|juno|west|valve|91|shipped
1561|fulton|south|panel|67|held
1165|juno|south|valve|40|held
1568|acme|south|frame|28|held
1468|acme|east|sensor|41|held
1587|harbor|east|sensor|24|pending
1260|juno|north|valve|86|pending
1082|birch|west|valve|54|pending
1374|juno|west|frame|90|pending
1276|cobalt|east|rotor|99|pending
1170|harbor|east|cable|12|shipped
1507|cobalt|north|cable|80|paid
1324|harbor|north|frame|78|held
1510|cobalt|north|gasket|46|shipped
1016|acme|south|cable|53|pending
1554|juno|south|frame|77|held
1819|birch|west|rotor|10|held
1452|birch|east|cable|16|shipped
1267|dorian|south|sensor|97|shipped
1306|gale|north|gasket|31|paid
1238|dorian|north|rotor|91|held
1246|gale|north|valve|52|held
1326|birch|west|frame|49|held
1156|birch|west|frame|47|held
1717|harbor|east|pump|58|shipped
1294|juno|north|rotor|79|shipped
1377|birch|west|panel|98|pending
1344|ionic|south|cable|76|held
1547|gale|north|sensor|80|held
1689|fulton|north|sensor|88|shipped
1390|birch|south|rotor|37|shipped
1458|birch|east|cable|21|paid
1143|acme|north|gasket|25|pending
1319|ionic|east|gasket|68|paid
1520|fulton|west|pump|83|held
1759|ember|north|frame|56|held
1402|juno|east|cable|59|shipped
1501|gale|west|gasket|38|pending
1343|juno|west|cable|89|held
1060|birch|north|gasket|68|held
1174|fulton|north|cable|44|held
1747|dorian|east|sensor|59|pending
1034|acme|west|gasket|99|pending
1419|birch|south|frame|94|shipped
1804|birch|west|frame|75|pending
1662|birch|south|rotor|79|paid
1724|acme|south|pump|20|pending
1078|gale|east|rotor|38|paid
1541|harbor|east|rotor|68|paid
1185|harbor|north|frame|87|held
1476|acme|south|pump|25|shipped
1153|cobalt|south|valve|28|held
1161|ember|north|sensor|68|held
1040|acme|north|rotor|77|pending
1386|dorian|west|frame|56|pending
1776|juno|south|pump|56|pending
1028|acme|west|valve|14|pending
1220|ember|east|valve|59|pending
1437|fulton|north|sensor|80|shipped
1610|juno|west|rotor|68|pending
1022|acme|west|gasket|92|paid
1503|birch|north|gasket|65|pending
1396|dorian|west|frame|72|held
1462|cobalt|south|pump|50|paid
1214|ember|south|sensor|47|paid
1194|ionic|south|frame|29|held
1599|harbor|east|cable|30|pending
1114|ionic|north|cable|96|shipped
1463|ember|west|cable|45|pending
1684|birch|east|gasket|76|paid
1516|ember|north|sensor|18|held
1483|birch|south|pump|69|shipped
1030|acme|south|cable|50|pending
1672|birch|south|rotor|61|pending
1504|juno|south|rotor|81|shipped
1651|birch|north|pump|59|shipped
1350|ember|west|frame|39|held
1426|cobalt|south|rotor|24|pending
1534|cobalt|north|pump|26|shipped
1447|ionic|north|valve|62|held
1741|harbor|south|cable|48|paid
1634|fulton|east|gasket|29|held
1471|dorian|west|frame|28|shipped
1441|juno|east|gasket|34|pending
1137|birch|north|gasket|36|held
1489|gale|west|rotor|81|pending
1264|birch|west|pump|44|shipped
1109|harbor|south|valve|94|pending
1095|ember|south|pump|66|paid
1807|ember|north|pump|76|held
1183|fulton|west|panel|41|held
1215|dorian|west|sensor|19|shipped
1245|gale|north|pump|70|shipped
1316|acme|west|cable|37|held
1578|birch|east|gasket|34|paid
1743|fulton|south|panel|83|shipped
1700|fulton|west|valve|90|shipped
1134|gale|north|gasket|81|paid
1116|acme|west|gasket|94|held
1434|juno|west|pump|50|paid
1209|ionic|west|frame|46|held
1736|ionic|north|sensor|57|shipped
1032|acme|west|valve|77|shipped
1843|ember|east|rotor|34|pending
1812|juno|west|rotor|42|pending
1784|dorian|west|valve|61|pending
1111|juno|west|sensor|78|paid
1837|ember|south|frame|23|shipped
1713|cobalt|north|panel|77|shipped
1104|acme|east|gasket|92|shipped
1680|dorian|east|panel|37|held
1073|cobalt|north|sensor|61|held
1089|ember|west|frame|58|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 1010}},
{"tool": "restock", "args": {"item": "gasket", "qty": 99}},
{"tool": "cancel_order", "args": {"order_id": 1028}},
{"tool": "cancel_order", "args": {"order_id": 1034}}
]correctagentic.tools.deploy-v1conf 100% · 367ms · $0.000 · 59 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- search: reports
- billing: reports
- gateway: billing, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}}
]wrongagentic.tools.ledger-v1conf 100% · 316ms · $0.000 · 191 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: $437
- oscar: $729
- echo: $630
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $292 from "bravo" to "echo"
2. pay $167 from "bravo" to "oscar"
3. pay $431 from "echo" to "bravo"
4. pay $187 from "echo" to "bravo"
5. pay $438 from "echo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 292}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 167}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 233}},
{"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 431}},
{"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 187}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 438}},
{"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 438}}
]correctagentic.tools.triage-v1conf 100% · 427ms · $0.000 · 177 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- auth → tanaka
- payments → chen
INCIDENTS:
1. "export file corrupted" (category: data, priority 7)
2. "locked out after 2FA change" (category: auth, priority 5)
3. "locked out after 2FA change" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]wrongagentic.tools.context-load-v1conf 100% · 403ms · $0.001 · 37 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 (186 records, format: id|customer|region|item|qty|status):
```
1612|acme|west|rotor|17|held
1327|ionic|south|frame|28|shipped
1402|cobalt|south|rotor|28|pending
1625|cobalt|east|panel|97|pending
1582|harbor|west|gasket|66|pending
1615|cobalt|west|valve|27|shipped
1590|gale|west|frame|94|shipped
1560|ember|north|rotor|70|pending
1383|birch|south|sensor|78|held
1470|fulton|south|cable|64|paid
1291|ember|west|panel|88|pending
1579|gale|north|rotor|63|paid
1550|ember|east|panel|16|held
1975|ember|south|valve|82|held
1514|dorian|north|cable|41|held
1732|fulton|west|panel|10|held
1394|birch|south|sensor|78|paid
1681|fulton|south|rotor|78|paid
1410|ionic|south|pump|47|paid
1377|birch|west|panel|61|shipped
1507|ember|south|cable|44|paid
1309|ionic|east|sensor|44|paid
1361|harbor|north|rotor|91|paid
1844|acme|east|rotor|22|shipped
1648|fulton|south|panel|30|shipped
1750|birch|south|cable|54|paid
1279|ember|south|frame|75|pending
1465|harbor|south|frame|52|paid
1991|birch|north|panel|29|held
1423|ionic|south|rotor|34|pending
1537|ionic|north|gasket|32|paid
1354|fulton|north|valve|77|paid
1720|juno|south|pump|81|shipped
1587|birch|south|cable|52|pending
1365|juno|north|valve|85|pending
1596|ember|west|rotor|31|paid
1770|gale|north|pump|19|paid
1710|dorian|north|rotor|66|shipped
1937|fulton|east|cable|21|held
1874|gale|east|valve|90|shipped
1690|ionic|east|valve|32|pending
1725|acme|west|pump|69|held
1850|gale|west|gasket|49|held
1277|ember|east|pump|95|held
1857|ionic|south|cable|92|shipped
1338|ember|north|rotor|67|shipped
1902|acme|west|sensor|72|pending
1929|ionic|east|sensor|85|pending
1419|juno|north|cable|29|paid
1324|ember|north|valve|68|pending
1706|fulton|east|sensor|80|held
1294|ember|east|pump|85|held
1853|ionic|north|sensor|84|shipped
1703|harbor|east|gasket|15|held
1715|gale|west|valve|83|pending
1769|birch|north|pump|10|shipped
1738|harbor|east|panel|14|held
1315|dorian|north|sensor|83|pending
1823|acme|north|cable|39|held
1478|ionic|east|panel|25|paid
1396|dorian|east|gasket|70|held
1370|fulton|east|rotor|91|paid
1329|juno|south|sensor|60|paid
1835|ionic|north|panel|91|paid
1408|ember|west|gasket|85|paid
1285|ember|east|panel|98|paid
1632|cobalt|south|frame|53|paid
1915|dorian|south|valve|15|held
1760|ionic|west|gasket|23|pending
1755|ember|north|gasket|18|shipped
1257|ember|south|gasket|41|pending
1278|ember|east|cable|60|pending
1288|ember|east|pump|10|pending
1908|juno|east|rotor|75|paid
1561|ember|south|cable|97|pending
1597|ionic|south|valve|68|shipped
1263|ember|east|panel|58|paid
1730|acme|south|frame|59|paid
1488|cobalt|north|valve|44|shipped
1871|acme|north|gasket|65|shipped
1641|dorian|south|rotor|73|shipped
1642|cobalt|west|pump|98|held
1718|dorian|south|valve|56|shipped
1435|ember|north|rotor|74|held
1348|dorian|south|frame|61|held
1782|ionic|west|frame|69|shipped
1343|juno|south|pump|63|shipped
1786|ember|north|valve|87|paid
1525|ionic|west|sensor|78|held
1599|harbor|west|rotor|55|shipped
1940|gale|east|pump|15|pending
1578|juno|north|rotor|66|held
1438|juno|west|valve|55|shipped
1409|birch|north|valve|32|held
1543|ionic|south|pump|14|paid
1467|fulton|north|frame|78|held
1817|ember|north|panel|28|paid
1800|gale|north|valve|70|pending
1926|fulton|east|panel|89|pending
1978|ionic|north|frame|77|pending
1430|dorian|west|sensor|48|pending
1861|harbor|west|rotor|68|pending
1295|ionic|east|panel|73|shipped
1269|ember|east|cable|44|pending
1574|fulton|north|sensor|52|paid
1336|juno|north|pump|69|pending
1694|juno|north|pump|59|pending
1965|ember|south|frame|28|pending
1466|ionic|east|cable|44|held
1610|gale|north|panel|45|paid
1971|juno|east|rotor|40|pending
1980|gale|north|frame|98|shipped
1932|acme|north|frame|98|paid
1442|juno|north|rotor|90|held
1924|harbor|east|cable|86|shipped
1393|dorian|north|gasket|20|held
1644|ionic|east|cable|62|held
1638|harbor|south|sensor|56|held
1986|harbor|west|panel|16|held
1362|ember|south|valve|75|shipped
1661|gale|west|rotor|83|shipped
1884|juno|north|frame|54|paid
1500|juno|west|pump|55|held
1303|ember|west|cable|26|shipped
1670|juno|north|valve|46|held
1485|acme|east|frame|31|pending
1839|gale|south|cable|25|paid
1811|fulton|east|valve|67|pending
1387|fulton|east|pump|87|pending
1895|gale|east|gasket|53|paid
1300|ember|west|rotor|66|held
1962|fulton|south|pump|78|shipped
1708|juno|east|gasket|43|held
1455|ember|south|frame|64|pending
1862|harbor|east|frame|41|paid
1656|harbor|south|gasket|16|paid
1275|ember|north|pump|79|pending
1453|dorian|west|pump|44|shipped
1890|gale|south|pump|20|shipped
1830|cobalt|north|gasket|98|held
1520|ionic|north|rotor|43|paid
1317|fulton|west|rotor|49|shipped
1255|ember|east|rotor|59|pending
1463|gale|south|frame|27|paid
1460|harbor|north|panel|83|paid
1877|juno|east|frame|56|held
1551|acme|south|frame|92|shipped
1948|fulton|south|panel|35|held
1613|juno|east|valve|46|paid
1802|juno|west|valve|55|shipped
1697|gale|north|panel|65|pending
1792|gale|south|rotor|10|shipped
1955|ember|south|valve|78|shipped
1743|juno|north|pump|86|shipped
1604|harbor|north|cable|23|paid
1841|juno|south|sensor|90|shipped
1674|juno|west|valve|65|pending
1611|gale|east|pump|17|pending
1621|ionic|west|cable|56|held
1566|cobalt|south|panel|99|shipped
1763|ember|east|panel|16|paid
1312|gale|west|frame|31|paid
1794|dorian|east|rotor|17|shipped
1474|dorian|south|valve|75|held
1692|dorian|north|cable|34|held
1941|ionic|west|valve|21|shipped
1494|ionic|south|gasket|51|held
1898|dorian|east|frame|62|shipped
1556|harbor|east|cable|85|pending
1412|juno|south|cable|64|shipped
1751|juno|north|gasket|18|pending
1870|birch|east|gasket|35|pending
1655|juno|east|panel|36|pending
1806|acme|east|rotor|37|paid
1664|juno|west|panel|14|held
1532|cobalt|south|frame|48|shipped
1864|harbor|east|cable|57|pending
1917|birch|north|gasket|48|pending
1450|birch|north|sensor|57|pending
1775|cobalt|east|rotor|74|shipped
1570|juno|north|pump|23|pending
1484|ember|west|panel|86|held
1935|fulton|east|pump|20|paid
1443|cobalt|east|frame|90|held
1687|gale|north|pump|22|paid
1899|dorian|north|rotor|95|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1278}},
{"tool": "cancel_order", "args": {"order_id": 1288}},
{"tool": "restock", "args": {"item": "rotor", "qty": 59}}
]correctagentic.tools.deploy-v1conf 100% · 426ms · $0.000 · 59 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: billing, gateway
- gateway: (none)
- billing: gateway
- notifier: billing, gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 325ms · $0.000 · 125 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: $759
- delta: $782
- kilo: $143
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $498 from "echo" to "delta"
2. pay $305 from "delta" to "echo"
3. pay $537 from "kilo" to "echo"
4. pay $162 from "echo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 498}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 305}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 394}},
{"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 537}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 162}}
]correctagentic.tools.triage-v1conf 100% · 348ms · $0.000 · 151 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → novak
- data → silva
- auth → haddad
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 5)
2. "card declined at checkout" (category: payments, priority 5)
3. "locked out after 2FA change" (category: auth, 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": "card declined at checkout", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}}
]wrongagentic.tools.context-load-v1anchorconf 100% · 334ms · $0.001 · 116 tok
model answer:
[
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}},
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}}
]correctagentic.tools.deploy-v1anchorconf 100% · 362ms · $0.000 · 61 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 405ms · $0.000 · 190 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": 540}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]correctagentic.tools.triage-v1anchorconf 100% · 403ms · $0.000 · 222 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 29/30 correct
correctcode.trace.js-v1conf 100% · 343ms · $0.001 · 311 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14]; 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:
308correctcode.trace.python-v1conf 100% · 600ms · $0.002 · 1054 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 6
while total + v <= 97:
if v % 3 != 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:
0correctcode.trace.nested-v1conf 100% · 348ms · $0.001 · 607 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, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
128wrongcode.trace.nested-v1conf 100% · 312ms · $0.001 · 563 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
490correctcode.trace.js-v1conf 100% · 375ms · $0.000 · 289 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
100correctcode.trace.python-v1conf 100% · 529ms · $0.001 · 374 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 3
while total + v <= 39:
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:
33correctcode.trace.js-v1conf 100% · 560ms · $0.000 · 292 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14]; 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:
105correctcode.trace.nested-v1conf 100% · 415ms · $0.001 · 555 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 == 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:
203correctcode.trace.python-v1conf 100% · 351ms · $0.001 · 604 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 3
while total + v <= 67:
if v % 4 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
61correctcode.trace.js-v1conf 100% · 311ms · $0.000 · 285 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 2) .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:
270correctcode.trace.nested-v1conf 100% · 495ms · $0.001 · 620 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) % 4 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
147correctcode.trace.python-v1conf 100% · 389ms · $0.001 · 658 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 1
while total + v <= 98:
if v % 3 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
96correctcode.trace.js-v1conf 100% · 396ms · $0.000 · 281 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10]; 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:
324correctcode.trace.python-v1conf 100% · 486ms · $0.001 · 727 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 1
while total + v <= 105:
if v % 6 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
92correctcode.trace.nested-v1conf 100% · 424ms · $0.001 · 581 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, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 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:
139correctcode.trace.js-v1conf 100% · 398ms · $0.001 · 425 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
468correctcode.trace.nested-v1conf 100% · 331ms · $0.001 · 575 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, 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:
92correctcode.trace.python-v1conf 100% · 402ms · $0.001 · 600 tok
question
What does this Python program print?
```python
total = 0
v = 1
while total + v <= 115:
if v % 3 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
92correctcode.trace.nested-v1conf 100% · 336ms · $0.002 · 1123 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
342correctcode.trace.js-v1conf 100% · 307ms · $0.001 · 331 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 6) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
306correctcode.trace.nested-v1conf 100% · 809ms · $0.001 · 836 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 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:
291correctcode.trace.python-v1conf 100% · 396ms · $0.001 · 405 tok
question
What does this Python program print?
```python
total = 0
v = 13
while total + v <= 91:
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:
88correctcode.trace.js-v1conf 100% · 615ms · $0.000 · 204 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30correctcode.trace.python-v1conf 100% · 613ms · $0.001 · 329 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 12
while total + v <= 31:
if v % 5 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
26correctcode.trace.js-v1conf 100% · 616ms · $0.000 · 274 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; const out = arr .map(n => n * 5) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
140correctcode.trace.python-v1anchorconf 100% · 408ms · $0.002 · 990 tok
model answer:
0correctcode.trace.nested-v1conf 100% · 377ms · $0.001 · 971 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 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:
201correctcode.trace.nested-v1anchorconf 100% · 888ms · $0.001 · 807 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 560ms · $0.000 · 229 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 295ms · $0.001 · 422 tok
model answer:
40instruction following 21/30 correct
wrongif.constraints.stack-v1conf 100% · 899ms · $0.000 · 66 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "cedar" and the last word must be "quartz". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cedar trees echo cold air, hills echo soft light, snow will echo across the frozen lake where ice shines clear like hard white quartz.correctif.format.acronym-v1conf 100% · 622ms · $0.000 · 86 tok
question
Take the third letter of each of these words, in order: comet, delta, flint, drift, cedar, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MLIIDBwrongif.constraints.stack-v1conf 100% · 803ms · $0.000 · 63 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "zephyr" and the last word must be "cedar". 3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr blew past flint and flint and flint as we traveled across the vast dry land until we reached the tall ancient green cedar.correctif.format.repeat-v1conf 100% · 430ms · $0.000 · 45 tok
question
Write the word "nova" 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:
nova_nova_nova_nova_nova_nova_nova_nova_novacorrectif.format.repeat-v1conf 100% · 440ms · $0.000 · 63 tok
question
Write the word "prism" 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:
PRISM_PRISM_PRISM_PRISM_PRISM_PRISM_PRISM_PRISM_PRISMcorrectif.format.acronym-v1conf 100% · 372ms · $0.000 · 48 tok
question
Take the first letter of each of these words, in order: delta, lumen, nova, 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:
DLNFwrongif.constraints.stack-v1conf 100% · 377ms · $0.000 · 59 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "echo" and the last word must be "cedar". 3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo the old flint engine grinds flint against flint until the rusted iron gears stop spinning inside the box made of cedar.correctif.format.acronym-v1conf 100% · 315ms · $0.000 · 94 tok
question
Take the second letter of each of these words, in order: drift, nova, prism, falcon, zephyr, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
RORAEUcorrectif.format.repeat-v1conf 100% · 959ms · $0.000 · 39 tok
question
Write the word "zephyr" 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:
zephyr_zephyr_zephyr_zephyr_zephyrwrongif.constraints.stack-v1conf 100% · 332ms · $0.000 · 48 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "tundra" and the last word must be "basalt". 3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra lights glow like one ember then another ember above the dark streets made of cold basalt.correctif.format.acronym-v1conf 100% · 458ms · $0.000 · 72 tok
question
Take the second letter of each of these words, in order: cedar, flint, ember, 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:
ELMEcorrectif.format.repeat-v1conf 100% · 600ms · $0.000 · 62 tok
question
Write the word "basalt" 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:
basalt-basalt-basalt-basalt-basalt-basalt-basalt-basalt-basaltcorrectif.constraints.stack-v1conf 100% · 630ms · $0.000 · 49 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "orbit" and the last word must be "flint". 3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit the old drift gear will drift and drift as the rusted iron wheel strikes a cold flint.correctif.format.acronym-v1conf 100% · 389ms · $0.000 · 76 tok
question
Take the third letter of each of these words, in order: nova, echo, drift, ember, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VHIBAcorrectif.format.repeat-v1conf 100% · 423ms · $0.000 · 33 tok
question
Write the word "cedar" in capitalized form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR_CEDAR_CEDAR_CEDARwrongif.constraints.stack-v1conf 100% · 445ms · $0.000 · 48 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "comet" and the last word must be "quartz". 3. Use the word "zephyr" 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:
comet blue waves meet a soft zephyr and a cool zephyr near clear white quartz.correctif.format.acronym-v1conf 100% · 393ms · $0.000 · 84 tok
question
Take the third letter of each of these words, in order: nova, echo, flint, lumen, falcon, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VHIMLNcorrectif.format.repeat-v1conf 100% · 626ms · $0.000 · 73 tok
question
Write the word "zephyr" in uppercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYRwrongif.constraints.stack-v1conf 100% · 375ms · $0.000 · 52 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "tundra" and the last word must be "drift". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra air holds an echo, then another echo fades as cold light settles upon the silent white drift.correctif.format.acronym-v1conf 100% · 427ms · $0.000 · 91 tok
question
Take the first letter of each of these words, in order: flint, delta, echo, nova, cedar, basalt. 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:
FDENCBcorrectif.format.repeat-v1conf 100% · 732ms · $0.000 · 38 tok
question
Write the word "nova" 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:
NOVA_NOVA_NOVA_NOVA_NOVAwrongif.constraints.stack-v1conf 100% · 456ms · $0.000 · 67 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "orbit" and the last word must be "zephyr". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit across vast space, one ember, another ember, third ember, stars fade away, we travel home on a soft cool zephyr.correctif.format.acronym-v1conf 100% · 416ms · $0.000 · 89 tok
question
Take the first letter of each of these words, in order: basalt, lumen, delta, tundra, drift, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
BLDTDEcorrectif.format.repeat-v1conf 100% · 419ms · $0.000 · 26 tok
question
Write the word "ember" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EMBER_EMBER_EMBER_EMBERcorrectif.format.acronym-v1conf 100% · 1.1s · $0.000 · 73 tok
question
Take the second letter of each of these words, in order: drift, cedar, flint, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
RELUwrongif.constraints.stack-v1conf 100% · 1.1s · $0.000 · 59 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "ember" and the last word must be "falcon". 3. Use the word "basalt" 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:
ember glows on basalt, cold basalt, dark basalt, frost bites the air as dawn wakes the silent hunting winter falcon.wrongif.constraints.stack-v1anchorconf 100% · 403ms · $0.000 · 63 tok
model answer:
drift through neon streets where lumen meets lumen and another lumen glows as shadows dance beneath the tall steel towers held in a silent orbit.correctif.format.repeat-v1anchorconf 100% · 380ms · $0.000 · 56 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.acronym-v1anchorconf 100% · 343ms · $0.000 · 54 tok
model answer:
ZDFQcorrectif.format.repeat-v1anchorconf 100% · 342ms · $0.000 · 57 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 350ms · $0.000 · 14 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:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 343ms · $0.000 · 13 tok
question
Name the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 452ms · $0.000 · 14 tok
question
Identify the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 348ms · $0.000 · 23 tok
question
What is the writer of the novel "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 419ms · $0.000 · 19 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 Achebecorrectknowledge.fr.factbank-v2conf 100% · 390ms · $0.000 · 14 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 665ms · $0.000 · 23 tok
question
What is the author of "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 829ms · $0.000 · 13 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 337ms · $0.000 · 14 tok
question
Name the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 368ms · $0.000 · 14 tok
question
Identify the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 368ms · $0.000 · 19 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 350ms · $0.000 · 13 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:
Tincorrectknowledge.fr.factbank-v2conf 100% · 382ms · $0.000 · 14 tok
question
Name the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 379ms · $0.000 · 19 tok
question
Identify the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 357ms · $0.000 · 14 tok
question
Name the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 504ms · $0.000 · 16 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:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 367ms · $0.000 · 13 tok
question
Name the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 398ms · $0.000 · 23 tok
question
What is the writer of the novel "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 372ms · $0.000 · 13 tok
question
What is the chemical element with symbol Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 362ms · $0.000 · 13 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 408ms · $0.000 · 17 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 Márquezcorrectknowledge.fr.factbank-v2conf 100% · 401ms · $0.000 · 15 tok
question
Name the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 414ms · $0.000 · 14 tok
question
Identify the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 412ms · $0.000 · 19 tok
question
What is the writer of the novel "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 415ms · $0.000 · 23 tok
question
What is the author of "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 428ms · $0.000 · 19 tok
question
What is the Burmese capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2anchorconf 100% · 485ms · $0.000 · 13 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 528ms · $0.000 · 16 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 421ms · $0.000 · 15 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 419ms · $0.000 · 13 tok
model answer:
Leadmath 30/30 correct
correctmath.chained.pipeline-v1conf 100% · 469ms · $0.000 · 242 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 23 × 48. Step 2: Q = P × 8 − 282. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2139correctmath.counterfactual.base-v1conf 100% · 338ms · $0.001 · 440 tok
question
Work strictly in base 9. Multiply the base-9 numbers 58 and 40. 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:
2550correctmath.percent.chain-v2conf 100% · 353ms · $0.000 · 221 tok
question
An inventory starts at 97000 units. The company was founded 94 kilometers from the port. In the first month the inventory grows by 32%. A rival firm shipped 138 unrelated parcels the same week. The next month it shrinks by 44%, and the month after it grows by 8%. 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:
77438.59correctmath.algebra.system-v2conf 100% · 386ms · $0.000 · 282 tok
question
Solve the system, then answer the derived question. 8x + 2y = 196 5x − 6y = 398 What is the value of 3x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
330correctmath.arith.chain-v2conf 100% · 326ms · $0.000 · 271 tok
question
Compute the value of the following expression. (((56 × 24 − 659) × 9 + 8944) − 24 × 65) × 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:
54196correctmath.chained.pipeline-v1conf 100% · 517ms · $0.000 · 243 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 14 × 34. Step 2: Q = P × 7 − 801. 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:
283correctmath.counterfactual.base-v1conf 100% · 389ms · $0.001 · 416 tok
question
Work strictly in base 7. Multiply the base-7 numbers 123 and 155. 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:
23061correctmath.percent.chain-v2conf 100% · 311ms · $0.000 · 169 tok
question
An inventory starts at 52000 units. The company was founded 175 kilometers from the port. In the first month the inventory grows by 9%. The delivery van has a 77-liter fuel tank. The next month it shrinks by 10%, and the month after it grows by 37%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
69886.44correctmath.algebra.system-v2conf 100% · 560ms · $0.000 · 243 tok
question
Solve the system, then answer the derived question. 5x + 2y = 132 6x − 7y = 243 What is the value of 4x − 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:
147correctmath.arith.chain-v2conf 100% · 560ms · $0.000 · 287 tok
question
Calculate the following. Show your reasoning, then answer. (((59 × 62 − 578) × 4 + 3657) − 34 × 56) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
70365correctmath.counterfactual.base-v1conf 100% · 555ms · $0.001 · 444 tok
question
Work strictly in base 7. Add the base-7 numbers 2233 and 6205. 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:
11441correctmath.chained.pipeline-v1conf 100% · 479ms · $0.000 · 135 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 84 × 20. Step 2: Q = P × 4 − 326. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1600correctmath.percent.chain-v2conf 100% · 306ms · $0.000 · 237 tok
question
An inventory starts at 89000 units. The warehouse was painted 64 years ago. In the first month the inventory grows by 24%. A rival firm shipped 41 unrelated parcels the same week. The next month it shrinks by 37%, and the month after it grows by 37%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
95251.72correctmath.algebra.system-v2conf 100% · 451ms · $0.000 · 236 tok
question
Solve the system, then answer the derived question. 6x + 6y = 72 7x − 5y = -252 What is the value of 4x − 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:
-148correctmath.arith.chain-v2conf 100% · 548ms · $0.000 · 280 tok
question
Evaluate the expression below and give the result. (((50 × 75 − 357) × 5 + 2622) − 53 × 47) × 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:
68384correctmath.counterfactual.base-v1conf 100% · 515ms · $0.001 · 575 tok
question
Work strictly in base 13. Multiply the base-13 numbers 54 and 35. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
14C7correctmath.chained.pipeline-v1conf 100% · 507ms · $0.000 · 129 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 24 × 45. Step 2: Q = P × 4 − 662. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
916correctmath.percent.chain-v2conf 100% · 317ms · $0.000 · 206 tok
question
An inventory starts at 33000 units. Each pallet weighs about 41 grams more when wet. In the first month the inventory grows by 38%. The delivery van has a 102-liter fuel tank. The next month it shrinks by 26%, and the month after it grows by 45%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
48864.42correctmath.algebra.system-v2conf 100% · 514ms · $0.000 · 297 tok
question
Solve the system, then answer the derived question. 5x + 3y = -39 7x − 8y = -79 What is the value of 3x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-31correctmath.arith.chain-v2conf 100% · 347ms · $0.000 · 276 tok
question
Work out the exact value of this expression. (((89 × 44 − 246) × 3 + 7145) − 71 × 68) × 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:
53308correctmath.counterfactual.base-v1conf 100% · 498ms · $0.001 · 457 tok
question
Work strictly in base 13. Add the base-13 numbers 338 and 1160. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1498correctmath.chained.pipeline-v1conf 100% · 498ms · $0.000 · 144 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 28 × 80. Step 2: Q = P × 9 − 639. 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:
2793correctmath.percent.chain-v2conf 100% · 580ms · $0.000 · 177 tok
question
An inventory starts at 25000 units. Each pallet weighs about 135 grams more when wet. In the first month the inventory grows by 38%. The delivery van has a 20-liter fuel tank. The next month it shrinks by 28%, and the month after it grows by 38%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
34279.2correctmath.algebra.system-v2conf 100% · 400ms · $0.000 · 267 tok
question
Solve the system, then answer the derived question. 7x + 8y = 260 4x − 2y = 96 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
136correctmath.arith.chain-v2conf 100% · 416ms · $0.000 · 286 tok
question
Calculate the following. Show your reasoning, then answer. (((38 × 85 − 471) × 7 + 9342) − 82 × 86) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
108015correctmath.chained.pipeline-v1conf 100% · 425ms · $0.000 · 283 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 57 × 59. Step 2: Q = P × 8 − 115. 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:
3827correctmath.counterfactual.base-v1anchorconf 100% · 439ms · $0.001 · 497 tok
model answer:
11236correctmath.percent.chain-v2anchorconf 100% · 374ms · $0.000 · 255 tok
model answer:
61896.52correctmath.arith.chain-v2anchorconf 100% · 466ms · $0.000 · 274 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 465ms · $0.000 · 219 tok
model answer:
87multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 362ms · $0.000 · 135 tok
question
A number is written in French: « quatre cent trente-quatre ». Another is written in Spanish: « doscientos trece ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
647correctmultilingual.numword-v2conf 100% · 617ms · $0.000 · 26 tok
question
Compute 66 + 408, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos setenta y cuatrocorrectmultilingual.wordnum-v1conf 100% · 606ms · $0.000 · 66 tok
question
A number is written in French: « quatre cent dix-sept ». Another is written in Spanish: « doscientos cincuenta ». 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:
167correctmultilingual.numword-v2conf 100% · 432ms · $0.000 · 25 tok
question
Compute 281 + 391, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos setenta y doscorrectmultilingual.wordnum-v1conf 100% · 391ms · $0.000 · 66 tok
question
A number is written in French: « six cent soixante et onze ». Another is written in Spanish: « ciento ochenta y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
858correctmultilingual.wordnum-v1conf 100% · 1.2s · $0.000 · 67 tok
question
A number is written in French: « sept cent cinquante-neuf ». Another is written in Spanish: « cuatrocientos setenta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
282correctmultilingual.numword-v2conf 100% · 632ms · $0.000 · 24 tok
question
Compute 482 + 51, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent trente-troiscorrectmultilingual.wordnum-v1conf 100% · 378ms · $0.000 · 144 tok
question
A number is written in French: « quatre cent quarante-quatre ». Another is written in Spanish: « setecientos treinta y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-287correctmultilingual.numword-v2conf 100% · 373ms · $0.000 · 30 tok
question
Compute 329 + 267, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent quatre-vingt-seizecorrectmultilingual.numword-v2conf 100% · 430ms · $0.000 · 17 tok
question
Compute 368 + 262, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent trentecorrectmultilingual.wordnum-v1conf 100% · 344ms · $0.000 · 174 tok
question
A number is written in French: « cent soixante-quatre ». Another is written in Spanish: « setecientos 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:
-572correctmultilingual.wordnum-v1conf 100% · 446ms · $0.000 · 59 tok
question
A number is written in French: « cinq cent cinquante-sept ». Another is written in Spanish: « quinientos sesenta ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-3correctmultilingual.numword-v2conf 100% · 372ms · $0.000 · 20 tok
question
Compute 244 + 159, 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 trescorrectmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 65 tok
question
A number is written in French: « cent vingt-huit ». Another is written in Spanish: « seiscientos cuarenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
774correctmultilingual.numword-v2conf 100% · 874ms · $0.000 · 25 tok
question
Compute 401 + 48, 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 quarante-neufcorrectmultilingual.numword-v2conf 100% · 348ms · $0.000 · 28 tok
question
Compute 186 + 200, 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-sixcorrectmultilingual.wordnum-v1conf 100% · 320ms · $0.000 · 58 tok
question
A number is written in French: « sept cent quatre ». Another is written in Spanish: « sesenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
765correctmultilingual.numword-v2conf 100% · 401ms · $0.000 · 26 tok
question
Compute 223 + 256, 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 setenta y nuevecorrectmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 27 tok
question
Compute 368 + 388, 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 cincuenta y seiscorrectmultilingual.wordnum-v1conf 100% · 361ms · $0.000 · 70 tok
question
A number is written in French: « huit cent quarante-trois ». Another is written in Spanish: « setecientos ochenta 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:
1626correctmultilingual.wordnum-v1conf 100% · 739ms · $0.000 · 56 tok
question
A number is written in French: « sept cent dix-sept ». Another is written in Spanish: « trescientos setenta ». 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:
1087correctmultilingual.wordnum-v1conf 100% · 339ms · $0.000 · 167 tok
question
A number is written in French: « trois cent trente-sept ». Another is written in Spanish: « setecientos sesenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-432correctmultilingual.numword-v2conf 100% · 486ms · $0.000 · 22 tok
question
Compute 198 + 334, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent trente-deuxcorrectmultilingual.wordnum-v1conf 100% · 356ms · $0.000 · 68 tok
question
A number is written in French: « cinq cent quatre-vingt-quinze ». Another is written in Spanish: « cuatrocientos treinta y ocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
157correctmultilingual.numword-v2conf 100% · 316ms · $0.000 · 20 tok
question
Compute 298 + 113, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos oncecorrectmultilingual.numword-v2conf 100% · 379ms · $0.000 · 25 tok
question
Compute 374 + 178, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos cincuenta y doscorrectmultilingual.wordnum-v1anchorconf 100% · 347ms · $0.000 · 77 tok
model answer:
150correctmultilingual.wordnum-v1anchorconf 100% · 380ms · $0.000 · 175 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 294ms · $0.000 · 34 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 408ms · $0.000 · 19 tok
model answer:
seiscientos ochoreasoning 28/30 correct
wrongreasoning.deduction.position-v1conf 100% · 369ms · $0.001 · 462 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Jonas. Quinn is directly ahead of Ola. Jonas is number 3 in the queue. 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:
Unknowncorrectreasoning.deduction.position-v1conf 100% · 355ms · $0.000 · 57 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Alice. Sami is number 1 in the queue. Nadir is directly ahead of Emil. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.order-v2conf 100% · 358ms · $0.000 · 190 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Hana. Kira is faster than Hana. Hana is faster than Bruno. Goran is faster than Emil. Tessa is faster than Sami. Emil is faster than Kira. Kira is faster than Tessa. Jonas is heavier than everyone here, but Jonas is not being ranked. Tessa is faster than Hana. Sami is faster than Bruno. 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 300ms · $0.000 · 208 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is faster than everyone here, but Goran is not being ranked. Alice is taller than Ines. Nadir is taller than Emil. Hana is taller than Ola. Mona is taller than Ola. Mona is taller than Alice. Ola is taller than Nadir. Hana is taller than Mona. Hana is taller than Nadir. Emil is taller than Alice. 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:
Emilcorrectreasoning.deduction.position-v1conf 100% · 302ms · $0.000 · 91 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Goran. Jonas is number 2 in the queue. Nadir is directly ahead of Jonas. 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 408ms · $0.000 · 146 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Kira. Farah is faster than Dara. Alice is faster than Sami. Kira is faster than Alice. Kira is faster than Sami. Hana is older than everyone here, but Hana is not being ranked. Goran is faster than Farah. Goran is faster than Sami. Liam is faster than Goran. Goran is faster than Kira. 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 395ms · $0.000 · 244 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Quinn is faster than Farah. Kira is faster than Tessa. Farah is faster than Bruno. Hana is faster than Liam. Liam is faster than Quinn. Kira is faster than Bruno. Liam is faster than Farah. Bruno is faster than Tessa. Priya is older than everyone here, but Priya is not being ranked. Farah is faster than Kira. 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:
Liamcorrectreasoning.deduction.position-v1conf 100% · 352ms · $0.000 · 21 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Bruno. Bruno is number 3 in the queue. Ola is directly ahead of Alice. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.order-v2conf 100% · 337ms · $0.000 · 197 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Goran. Alice is taller than everyone here, but Alice is not being ranked. Mona is older than Dara. Priya is older than Bruno. Mona is older than Goran. Priya is older than Tessa. Priya is older than Goran. Bruno is older than Quinn. Tessa is older than Bruno. Quinn is older than Mona. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.position-v1conf 100% · 325ms · $0.000 · 44 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Dara. Quinn is directly ahead of Alice. Dara is number 2 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 469ms · $0.000 · 110 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Alice. Quinn is number 4 in the queue. Alice is directly ahead of Nadir. Nadir is directly ahead of Quinn. 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:
Nadircorrectreasoning.deduction.order-v2conf 100% · 390ms · $0.000 · 153 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Liam. Dara is heavier than Farah. Liam is heavier than Farah. Goran is heavier than Liam. Tessa is heavier than Goran. Alice is heavier than Chen. Chen is heavier than Tessa. Liam is heavier than Dara. Sami is older than everyone here, but Sami is not being ranked. Alice 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 337ms · $0.000 · 249 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Tessa. Nadir is taller than Kira. Alice is taller than Sami. Sami is taller than Goran. Goran is taller than Kira. Ines is heavier than everyone here, but Ines is not being ranked. Tessa is taller than Quinn. Kira is taller than Quinn. Tessa is taller than Nadir. Sami is taller than Nadir. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.position-v1conf 100% · 407ms · $0.000 · 112 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Goran. Goran is number 4 in the queue. Mona is directly ahead of Alice. Ines is directly ahead of Mona. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.order-v2conf 100% · 455ms · $0.000 · 152 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Quinn. Liam is faster than Ines. Kira is older than everyone here, but Kira is not being ranked. Ines is faster than Goran. Farah is faster than Goran. Quinn is faster than Nadir. Goran is faster than Nadir. Farah is faster than Liam. Ola is faster than Farah. Quinn is faster 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:
Liamcorrectreasoning.deduction.position-v1conf 100% · 370ms · $0.000 · 48 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Goran. Quinn is directly ahead of Kira. Dara is number 1 in the queue. 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 330ms · $0.000 · 202 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Hana. Emil is faster than everyone here, but Emil is not being ranked. Ines is heavier than Goran. Goran is heavier than Chen. Ines is heavier than Tessa. Tessa is heavier than Goran. Ines is heavier than Hana. Tessa is heavier than Priya. Hana is heavier than Farah. Farah is heavier than Goran. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1conf 100% · 386ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 3 in the queue. Ola is directly ahead of Liam. Jonas is directly ahead of Ola. 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:
Olacorrectreasoning.deduction.order-v2conf 100% · 373ms · $0.000 · 192 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Ines. Tessa is older than Quinn. Farah is older than Goran. Farah is older than Kira. Goran is older than Chen. Kira is older than Chen. Ines is older than Kira. Priya is taller than everyone here, but Priya is not being ranked. Goran is older than Ines. Chen is older than Tessa. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 665ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Ines. Farah is number 3 in the queue. Ines is directly ahead of Farah. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahwrongreasoning.deduction.position-v1conf 100% · 384ms · $0.001 · 394 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Bruno. Bruno is directly ahead of Goran. Goran is number 3 in the queue. 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:
Unknowncorrectreasoning.deduction.position-v1conf 100% · 493ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 4 in the queue. Priya is directly ahead of Goran. Emil is directly ahead of Kira. Kira is directly ahead of Priya. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 347ms · $0.000 · 159 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Kira. Ola is heavier than Mona. Farah is heavier than Sami. Liam is taller than everyone here, but Liam is not being ranked. Chen is heavier than Farah. Mona is heavier than Farah. Kira is heavier than Sami. Kira is heavier than Mona. Sami is heavier than Dara. Ola 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:
Samicorrectreasoning.deduction.order-v2conf 100% · 525ms · $0.000 · 214 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Alice is faster than Quinn. Tessa is faster than Farah. Rosa is faster than Alice. Sami is taller than everyone here, but Sami is not being ranked. Kira is faster than Rosa. Farah is faster than Kira. Rosa is faster than Quinn. Bruno is faster than Tessa. Bruno is faster than Alice. Bruno is faster than Alice. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 479ms · $0.000 · 109 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Rosa. Rosa is directly ahead of Quinn. Nadir is number 1 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.order-v2conf 100% · 640ms · $0.000 · 172 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Hana. Dara is heavier than Bruno. Hana is heavier than Rosa. Chen is faster than everyone here, but Chen is not being ranked. Hana is heavier than Bruno. Rosa is heavier than Farah. Nadir is heavier than Dara. Rosa is heavier than Ines. Farah is heavier than Ines. Ines is heavier than Bruno. 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:
Rosacorrectreasoning.deduction.position-v1anchorconf 100% · 345ms · $0.000 · 59 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 349ms · $0.000 · 154 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 550ms · $0.000 · 230 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 550ms · $0.000 · 77 tok
model answer:
Farahterminal 24/30 correct
correctterminal.fs.tree-v1conf 100% · 383ms · $0.001 · 547 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/src`, `/proj/docs`): ``` /proj/assets/report.cfg /proj/docs/notes.md /proj/docs/util.cfg /proj/index.md /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp index.md docs/ rm docs/notes.md cd src cp ../../proj/assets/report.cfg ./ cd ../../proj/assets mv report.cfg notes-4.cfg rm ../../proj/src/report.cfg cp ../../proj/docs/util.cfg ../../proj/ cd ../../proj/src mv ../../proj/docs/util.cfg ../../proj/docs/todo-6.cfg rm ../../proj/assets/notes-4.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/index.md
/proj/docs/todo-6.cfg
/proj/index.md
/proj/todo.cfg
/proj/util.cfgcorrectterminal.exit.chain-v1conf 100% · 575ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
G
Z
exit:0correctterminal.fs.tree-v1conf 95% · 449ms · $0.001 · 600 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/conf`): ``` /proj/build/index.log /proj/build/report.txt /proj/conf/main.log /proj/draft.txt /proj/setup.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv setup.txt setup-2.log mkdir -p build/docs-6 touch report-4.cfg mkdir -p conf/build-4 cd build rm ../../proj/setup-2.log mkdir -p ../../proj/src/src-4 mkdir -p ../../proj/conf/build-4/build-6 cd ../../proj/conf mkdir -p ../../proj/build/assets-2 cd ../../proj/src/src-4 ``` 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.log
/proj/build/report.txt
/proj/conf/main.log
/proj/draft.txt
/proj/report-4.cfgcorrectterminal.pipeline.predict-v1conf 100% · 751ms · $0.001 · 358 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,hr,3,97 ana,hr,56,36 pam,ops,65,38 bo,legal,8,29 cy,sales,83,46 gus,hr,38,87 lou,eng,98,66 ned,hr,62,29 max,legal,30,63 kim,eng,64,99 hal,hr,42,57 ivy,legal,83,23 fay,hr,72,44 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' 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:
ned,hr,62,29
fay,hr,72,44correctterminal.exit.chain-v1conf 100% · 491ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B test -f ghost.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
Z
exit:0correctterminal.fs.tree-v1conf 100% · 328ms · $0.001 · 760 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/conf`, `/proj/src`): ``` /proj/conf/setup.md /proj/conf/util.cfg /proj/logs/index.log /proj/main.md /proj/report.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp main.md logs/ cp conf/setup.md logs/ mkdir -p src/build-9 touch src/build-9/index-8.md touch logs/todo-2.txt touch src/build-9/notes-9.log cp src/build-9/index-8.md logs/ cd logs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/setup.md
/proj/conf/util.cfg
/proj/logs/index-8.md
/proj/logs/index.log
/proj/logs/main.md
/proj/logs/setup.md
/proj/logs/todo-2.txt
/proj/main.md
/proj/report.log
/proj/src/build-9/index-8.md
/proj/src/build-9/notes-9.logcorrectterminal.pipeline.predict-v1conf 100% · 1.1s · $0.001 · 325 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
jon,sales,49,64
dev,eng,29,85
ned,hr,29,75
ana,sales,44,30
max,hr,69,35
hal,hr,94,27
oli,ops,113,99
lou,eng,91,83
ivy,sales,61,43
fay,ops,71,14
kim,eng,30,74
gus,hr,39,99
eli,ops,99,89
```
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:
3wrongterminal.exit.chain-v1conf 100% · 470ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
H
exit:0correctterminal.fs.tree-v1conf 100% · 403ms · $0.001 · 559 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/conf`): ``` /proj/draft.md /proj/logs/index.md /proj/logs/main.txt /proj/logs/notes.txt /proj/report.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp logs/index.md conf/ touch src/index-8.cfg touch logs/setup-2.md rm logs/index.md cd logs cp ../../proj/src/index-8.cfg ./ touch main-4.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/index.md
/proj/draft.md
/proj/logs/index-8.cfg
/proj/logs/main-4.md
/proj/logs/main.txt
/proj/logs/notes.txt
/proj/logs/setup-2.md
/proj/report.log
/proj/src/index-8.cfgcorrectterminal.pipeline.predict-v1conf 100% · 565ms · $0.000 · 133 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,hr,77,17
oli,sales,102,46
dev,legal,113,95
gus,legal,81,40
ivy,ops,39,80
eli,eng,86,77
fay,sales,37,30
cy,sales,60,22
pam,hr,65,53
hal,ops,16,18
kim,eng,55,14
lou,ops,25,18
bo,hr,26,57
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
199correctterminal.exit.chain-v1conf 100% · 399ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
G
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 383ms · $0.000 · 242 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,sales,120,60 fay,hr,111,75 eli,sales,37,82 kim,legal,52,25 pam,legal,53,13 ivy,hr,73,79 jon,sales,73,47 cy,ops,102,99 ana,ops,85,16 max,eng,99,59 hal,ops,70,30 bo,sales,120,49 oli,eng,86,74 lou,sales,44,68 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
kim,52
pam,53correctterminal.fs.tree-v1conf 100% · 458ms · $0.001 · 479 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`): ``` /proj/build/todo.cfg /proj/draft.md /proj/setup.md /proj/src/report.cfg /proj/src/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv src/report.cfg ./ mkdir -p assets/conf-8 mkdir -p assets/conf-8/logs-6 cd src mv util.md ../../proj/assets/conf-8/ cd . mkdir -p ../../proj/docs-7 mkdir -p ../../proj/assets/src-2 cd ../../proj/docs-7 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/conf-8/util.md
/proj/build/todo.cfg
/proj/draft.md
/proj/report.cfg
/proj/setup.mdwrongterminal.exit.chain-v1conf 100% · 395ms · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B true && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:0correctterminal.fs.tree-v1conf 100% · 341ms · $0.001 · 447 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/conf`): ``` /proj/build/setup.log /proj/conf/todo.md /proj/index.log /proj/logs/report.md /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm build/setup.log mv index.log setup-5.cfg cp setup-5.cfg conf/ mkdir -p conf/docs-6 cp util.txt conf/docs-6/ mv util.txt ./ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/docs-6/util.txt
/proj/conf/setup-5.cfg
/proj/conf/todo.md
/proj/logs/report.md
/proj/setup-5.cfg
/proj/util.txtcorrectterminal.pipeline.predict-v1conf 100% · 358ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
jon,sales,25,15
eli,sales,16,62
max,eng,16,31
gus,hr,78,63
kim,legal,8,53
bo,ops,54,97
oli,eng,39,47
cy,legal,69,14
dev,legal,44,21
```
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:
78wrongterminal.exit.chain-v1conf 100% · 407ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B false && echo C || echo D false && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
H
exit:0correctterminal.pipeline.predict-v1conf 100% · 436ms · $0.000 · 134 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
dev,eng,48,75
fay,eng,83,24
hal,hr,105,51
eli,hr,20,94
max,legal,41,20
ned,legal,48,99
oli,sales,103,87
gus,hr,112,29
cy,ops,117,86
kim,eng,80,61
```
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:
237correctterminal.fs.tree-v1conf 100% · 379ms · $0.001 · 612 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/src`, `/proj/build`): ``` /proj/build/report.txt /proj/build/todo.md /proj/index.md /proj/setup.md /proj/src/notes.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv build/todo.md build/notes-4.log cd build mv ../../proj/index.md ../../proj/src/ mv report.txt ../../proj/docs/ cd ../../proj/docs rm report.txt mkdir -p ../../proj/conf-4 cd ../../proj/conf-4 cp ../../proj/build/notes-4.log ../../proj/docs/ mv ../../proj/src/index.md ../../proj/src/util-1.txt cd ../../proj/docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/notes-4.log
/proj/docs/notes-4.log
/proj/setup.md
/proj/src/notes.md
/proj/src/util-1.txtcorrectterminal.exit.chain-v1conf 100% · 446ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (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 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
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 334ms · $0.000 · 224 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ivy,legal,100,68
ned,legal,110,90
pam,hr,29,25
lou,eng,36,84
bo,eng,28,36
fay,hr,65,63
hal,legal,8,12
oli,ops,18,27
jon,sales,64,14
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
64correctterminal.exit.chain-v1conf 100% · 432ms · $0.000 · 25 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 test -f tmp.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f data.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
G
Z
exit:0correctterminal.fs.tree-v1conf 100% · 675ms · $0.001 · 597 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/build`, `/proj/assets`): ``` /proj/assets/notes.md /proj/build/draft.cfg /proj/conf/report.md /proj/main.md /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf/assets-6 cp util.txt build/ cp build/util.txt conf/ cd conf/assets-6 touch ../../../proj/assets/notes-6.cfg touch ../../../proj/main-6.log touch ../../../proj/conf/setup-5.txt cp ../../../proj/main.md ../../../proj/build/ rm ../../../proj/build/main.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/assets/notes-6.cfg
/proj/assets/notes.md
/proj/build/draft.cfg
/proj/build/util.txt
/proj/conf/report.md
/proj/conf/setup-5.txt
/proj/conf/util.txt
/proj/main-6.log
/proj/main.md
/proj/util.txtwrongterminal.pipeline.predict-v1conf 100% · 403ms · $0.001 · 394 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
kim,legal,55,85
max,ops,50,73
jon,sales,6,16
eli,legal,10,10
lou,eng,63,77
hal,sales,13,66
pam,hr,75,61
dev,legal,21,90
ivy,legal,15,98
cy,sales,44,49
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 80 { 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.fs.tree-v1conf 100% · 379ms · $0.001 · 546 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/conf`, `/proj/src`): ``` /proj/index.txt /proj/logs/todo.log /proj/src/report.cfg /proj/src/setup.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 cp util.md src/ rm index.txt mv logs/todo.log ./ rm todo.log cd logs cp ../../proj/util.md ./ cd ../../proj/src cp ../../proj/util.md ./ cd ../../proj rm src/report.cfg mv src/util.md src/main-5.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/logs/util.md
/proj/src/main-5.log
/proj/src/setup.txt
/proj/util.mdwrongterminal.exit.chain-v1conf 100% · 547ms · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q basil notes.txt && echo C || echo D true && 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
D
E
H
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 500ms · $0.001 · 351 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.fs.tree-v1anchorconf 100% · 342ms · $0.001 · 719 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.cfgwrongterminal.exit.chain-v1anchorconf 100% · 363ms · $0.000 · 23 tok
model answer:
B
D
E
G
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 338ms · $0.000 · 259 tok
model answer:
1vision ocr 28/30 correct
correctvision.ocr.table-read-v1conf 100% · 870ms · $0.000 · 128 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:
94correctvision.ocr.code-hunt-v1conf 100% · 972ms · $0.000 · 29 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:
AYH7AKCcorrectvision.ocr.table-read-v1conf 100% · 943ms · $0.000 · 121 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:
59correctvision.ocr.code-hunt-v1conf 100% · 1.8s · $0.000 · 17 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:
337JVPXcorrectvision.ocr.table-read-v1conf 100% · 1.0s · $0.001 · 153 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:
52correctvision.ocr.code-hunt-v1conf 100% · 29.1s · $0.000 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HR7PC9Dcorrectvision.ocr.code-hunt-v1conf 100% · 882ms · $0.000 · 30 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:
E9JK3KKHcorrectvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 103 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:
176correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 29 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:
YDHA4AOpenRouterError: OpenRouter /chat/completions failed after 6 attempt(s) (status 429)vision.ocr.table-read-v1conf — · — · — · — 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:
(none extracted)correctvision.ocr.table-read-v1conf 100% · 675ms · $0.001 · 141 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
93correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 27 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:
AUUWMJcorrectvision.ocr.table-read-v1conf 100% · 782ms · $0.001 · 181 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:
49correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 27 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:
UVUNWCMcorrectvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 95 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:
120correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 119 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
87correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 30 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:
VNE3H7correctvision.ocr.table-read-v1conf 100% · 919ms · $0.001 · 222 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:
75correctvision.ocr.code-hunt-v1conf 100% · 992ms · $0.000 · 16 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:
TM3374Tcorrectvision.ocr.code-hunt-v1conf 100% · 845ms · $0.000 · 26 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:
RYHR9HMcorrectvision.ocr.table-read-v1conf 100% · 1.1s · $0.001 · 144 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
89correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 15 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:
FEW3TJHcorrectvision.ocr.table-read-v1conf 100% · 1.0s · $0.000 · 115 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:
246correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 26 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:
PYYEFCRcorrectvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 90 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:
102wrongvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HWJAFDTcorrectvision.ocr.table-read-v1anchorconf 100% · 618ms · $0.000 · 96 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 675ms · $0.000 · 33 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 1.1s · $0.000 · 98 tok
model answer:
25correctvision.ocr.code-hunt-v1anchorconf 100% · 1.5s · $0.000 · 39 tok
model answer:
YH9E4AWPRun history
- 2026-08-05v0.2.0index_fit733
- 2026-08-05v0.2.0index_fit731
- 2026-08-05v0.2.0index_fit730
- 2026-08-05v0.2.0index_fit728
- 2026-08-05v0.2.0index_fit727
- 2026-08-05v0.2.0index_fit726
- 2026-08-05v0.2.0index_fit725
- 2026-08-05v0.2.0index_fit724
- 2026-08-05v0.2.0index_fit721
- 2026-08-05v0.2.0index_fit723
- 2026-08-05v0.2.0index_fit723
- 2026-08-05v0.2.0index_fit726
- 2026-08-05v0.2.0index_fit726
- 2026-08-05v0.2.0index_fit726
- 2026-08-05v0.2.0index_fit726
- 2026-08-05v0.2.0index_fit724
- 2026-08-05v0.2.0index_fit725
- 2026-08-05v0.2.0index_fit724
- 2026-08-05v0.2.0index_fit724
- 2026-08-05v0.2.0index_fit709