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DeepSeek: DeepSeek V3.1
deepseek/deepseek-chat-v3.1 · deepseek · context 163 840 · in $0.250/1M · out $0.950/1M
Global Index
666
95% CI [619–713] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 671 [561–781] | 0.698 | 0.87 | 0.87 | 0.154 | 977ms | $0.675 | |
| code | 573 [447–700] | 0.586 | 0.88 | 0.84 | 0.192 | 1.1s | $0.470 | |
| instruction following | 445 [346–544] | 0.358 | 0.78 | 0.64 | 0.135 | 1.2s | $0.083 | |
| knowledge | 730 [557–902] | 0.549 | 1.00 | 1.00 | 0.000 | 467ms | $0.032 | |
| math | 777 [621–934] | 0.686 | 0.98 | 0.97 | 0.038 | 797ms | $0.341 | |
| multilingual | 512 [377–647] | 0.476 | 0.92 | 0.84 | 0.192 | 1.2s | $0.100 | |
| reasoning | 724 [575–873] | 0.650 | 0.97 | 0.97 | 0.077 | 1.4s | $0.358 | |
| terminal | 899 [806–992] | 0.840 | 0.97 | 1.00 | 0.000 | 1.2s | $0.501 |
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 26/30 correct
correctagentic.tools.triage-v1conf 100% · 193ms · $0.000 · 287 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:
- auth → chen
- infra → silva
- payments → tanaka
INCIDENTS:
1. "cannot reset password" (category: auth, priority 8)
2. "cannot reset password" (category: auth, priority 8)
3. "invoice total wrong" (category: payments, priority 9)
4. "cannot reset password" (category: auth, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}}
]correctagentic.tools.ledger-v1conf 100% · 1.5s · $0.001 · 486 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $275
- bravo: $510
- kilo: $556
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $477 from "bravo" to "tango"
2. pay $445 from "kilo" to "bravo"
3. pay $317 from "bravo" to "kilo"
4. pay $184 from "kilo" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 477}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 445}},
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 317}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 184}}
]correctagentic.tools.ledger-v1conf 100% · 214ms · $0.001 · 852 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: $652
- kilo: $246
- tango: $810
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $164 from "kilo" to "lima"
2. pay $391 from "tango" to "kilo"
3. pay $474 from "kilo" to "tango"
4. pay $591 from "tango" to "lima"
5. pay $421 from "kilo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 164}},
{"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 391}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 1}},
{"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 474}},
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 591}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 421}},
{"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 421}}
]wrongagentic.tools.context-load-v1conf 100% · 1.1s · $0.001 · 275 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 (227 records, format: id|customer|region|item|qty|status):
```
2002|dorian|north|valve|37|paid
1730|acme|south|panel|31|pending
1398|ember|west|panel|94|paid
1937|birch|north|valve|33|paid
1379|fulton|east|frame|50|paid
1225|birch|east|pump|18|held
1890|birch|south|rotor|82|shipped
1327|birch|west|panel|18|paid
1371|harbor|north|valve|15|held
1442|cobalt|north|panel|72|pending
1510|gale|south|panel|61|held
1690|ember|east|panel|20|held
1618|ionic|south|gasket|67|paid
1785|gale|north|frame|34|paid
1834|dorian|east|panel|85|pending
1960|dorian|east|pump|99|pending
1727|acme|east|sensor|82|shipped
1846|cobalt|south|gasket|94|held
1566|juno|north|panel|86|held
1468|birch|south|gasket|78|paid
1386|gale|south|panel|54|paid
1840|acme|north|pump|74|shipped
1552|juno|south|gasket|14|paid
1196|ionic|east|sensor|50|pending
1378|ionic|west|pump|54|held
1735|dorian|south|frame|71|held
1365|gale|east|frame|87|paid
1295|dorian|west|pump|43|held
1744|harbor|north|pump|87|shipped
1895|cobalt|west|cable|72|held
1962|ionic|east|frame|60|pending
1664|acme|north|pump|58|pending
1773|ionic|north|rotor|61|paid
1694|gale|north|pump|51|pending
1761|acme|west|panel|37|pending
1828|cobalt|north|sensor|53|pending
1567|harbor|west|sensor|93|held
1978|harbor|east|pump|48|held
1918|ionic|south|panel|40|shipped
1888|acme|north|cable|62|shipped
1615|harbor|east|gasket|83|shipped
1941|harbor|south|sensor|47|paid
1208|ionic|west|rotor|53|pending
1279|fulton|south|sensor|32|held
1522|harbor|north|pump|68|shipped
1818|dorian|east|frame|54|held
1266|ember|north|valve|55|pending
1244|birch|north|valve|82|pending
2048|birch|west|valve|58|held
1658|dorian|south|valve|73|held
1357|birch|north|sensor|96|pending
1587|dorian|west|frame|72|shipped
2022|acme|east|sensor|83|paid
1176|ionic|south|frame|68|pending
1428|harbor|west|rotor|39|shipped
1542|fulton|west|frame|49|pending
1935|cobalt|north|valve|21|paid
1252|ember|west|gasket|78|pending
1491|fulton|east|panel|82|shipped
1983|ionic|west|frame|98|held
1238|fulton|east|rotor|33|pending
1188|ionic|south|sensor|45|held
1851|ionic|west|panel|39|paid
1246|cobalt|west|panel|96|paid
1420|gale|north|gasket|78|held
2075|gale|east|panel|74|paid
1256|juno|north|valve|64|held
1395|cobalt|north|cable|69|shipped
1704|harbor|south|sensor|16|shipped
1787|acme|east|sensor|93|paid
1968|gale|west|panel|26|shipped
1807|acme|west|cable|64|held
1582|fulton|west|gasket|73|pending
1874|gale|south|sensor|56|held
1272|birch|east|valve|45|pending
1220|gale|west|panel|72|pending
1681|harbor|south|cable|69|held
2100|birch|south|sensor|26|paid
1910|birch|north|panel|33|paid
1288|acme|east|gasket|49|paid
1639|ionic|east|rotor|73|held
2082|ember|north|valve|78|paid
1992|fulton|east|gasket|89|held
1415|juno|east|sensor|81|paid
1643|gale|east|pump|26|held
1548|ionic|north|frame|88|shipped
1671|birch|south|sensor|67|pending
1804|harbor|west|pump|96|held
1916|ionic|south|frame|29|paid
1250|ember|west|cable|90|paid
1439|ionic|north|frame|86|paid
2029|juno|east|valve|54|shipped
1325|ionic|west|sensor|59|held
1350|fulton|north|panel|16|pending
1449|gale|west|valve|31|pending
1855|fulton|west|panel|79|paid
1701|gale|south|cable|21|paid
1835|dorian|north|rotor|65|paid
2024|ember|west|frame|77|pending
1793|birch|east|sensor|31|paid
1812|cobalt|north|cable|84|shipped
1756|juno|east|pump|72|paid
2058|ionic|west|panel|11|pending
1586|birch|south|rotor|13|pending
1628|acme|west|rotor|57|pending
1407|dorian|south|cable|10|paid
1721|ionic|north|gasket|28|paid
1255|ionic|north|valve|57|shipped
2045|ionic|east|frame|26|pending
1575|acme|west|cable|86|shipped
1881|fulton|east|panel|43|paid
2015|dorian|west|sensor|83|pending
1902|harbor|south|rotor|91|paid
1768|fulton|east|rotor|54|held
1402|fulton|north|cable|59|paid
1531|cobalt|east|valve|96|held
1931|acme|south|frame|93|pending
1479|gale|west|frame|70|shipped
2064|juno|north|rotor|85|pending
1282|juno|north|rotor|62|held
1411|gale|west|rotor|91|held
1374|harbor|west|gasket|89|held
1201|ionic|south|gasket|70|shipped
1555|harbor|east|cable|25|held
1294|juno|west|pump|13|shipped
1495|harbor|south|cable|75|held
1679|ionic|west|rotor|37|paid
1260|ember|west|sensor|13|pending
1318|dorian|south|gasket|46|held
1866|harbor|east|rotor|84|held
1638|juno|west|sensor|85|pending
1463|juno|south|cable|30|held
1963|ionic|south|valve|68|held
1996|ember|south|cable|66|paid
1683|ionic|south|frame|26|pending
1886|harbor|east|gasket|68|pending
1477|ionic|west|valve|34|pending
1830|juno|south|pump|89|shipped
1592|dorian|north|sensor|65|paid
1900|gale|north|gasket|69|paid
1854|acme|west|cable|84|pending
2008|ember|south|rotor|42|shipped
2088|acme|north|panel|26|shipped
1749|gale|south|sensor|67|held
1475|ember|south|cable|56|held
1598|cobalt|west|rotor|24|shipped
1646|birch|south|cable|94|held
1779|ember|south|sensor|42|paid
1453|fulton|west|frame|56|shipped
2065|harbor|east|gasket|81|paid
1957|acme|east|frame|23|paid
1993|ionic|north|gasket|27|paid
1923|juno|east|cable|52|paid
1309|birch|south|pump|70|shipped
2038|harbor|west|gasket|83|paid
1543|juno|south|rotor|49|pending
1215|acme|west|cable|42|held
2032|ionic|west|panel|23|pending
1747|birch|north|rotor|93|shipped
1306|juno|east|frame|87|paid
1341|cobalt|south|frame|82|shipped
1950|ember|north|valve|89|shipped
1408|gale|west|frame|51|shipped
1742|fulton|north|panel|71|shipped
1203|ionic|south|valve|23|pending
1956|ember|north|panel|34|shipped
1975|juno|east|frame|97|pending
1987|ionic|west|gasket|89|paid
2073|juno|south|pump|82|held
1424|harbor|north|valve|36|pending
1547|harbor|west|panel|42|paid
2072|ionic|west|rotor|24|shipped
1609|dorian|north|rotor|73|paid
1183|ionic|east|frame|25|pending
1502|dorian|east|frame|43|paid
1673|harbor|north|pump|70|paid
1908|ionic|west|frame|37|pending
1740|ionic|west|pump|59|shipped
2107|ember|north|cable|23|shipped
1954|ember|south|cable|24|shipped
1825|juno|south|cable|64|paid
1516|gale|north|valve|68|paid
1270|ionic|east|rotor|86|paid
1482|ember|west|cable|72|paid
1194|ionic|south|frame|33|pending
1534|fulton|east|cable|22|paid
1535|dorian|north|rotor|59|pending
1634|juno|east|pump|85|paid
1603|acme|east|gasket|90|held
2054|dorian|north|rotor|10|held
1345|dorian|east|cable|15|pending
1456|acme|north|valve|61|shipped
1471|acme|north|pump|66|paid
1627|cobalt|north|cable|10|paid
1299|fulton|east|rotor|19|shipped
1859|acme|east|pump|11|pending
1231|cobalt|west|cable|49|pending
1572|birch|east|sensor|93|held
1798|birch|west|gasket|36|shipped
1948|acme|east|rotor|88|held
1210|ionic|south|cable|31|shipped
1870|ember|north|cable|31|paid
1390|dorian|south|sensor|37|paid
1716|ember|south|frame|66|pending
1528|birch|north|frame|23|held
1925|juno|east|cable|56|paid
1655|acme|south|panel|44|held
2094|acme|east|cable|52|shipped
1334|ionic|north|rotor|73|paid
1623|dorian|north|rotor|12|held
1644|ember|east|valve|45|paid
1940|juno|east|pump|57|paid
1648|ionic|south|cable|12|pending
1315|ionic|east|sensor|61|pending
1434|cobalt|east|cable|45|shipped
1724|cobalt|west|pump|16|paid
1507|juno|west|frame|71|held
1710|acme|east|frame|52|shipped
1559|dorian|south|sensor|38|pending
2097|fulton|south|gasket|28|paid
1486|cobalt|west|gasket|65|pending
1360|cobalt|east|panel|92|shipped
1554|acme|east|gasket|48|shipped
1359|harbor|north|panel|58|shipped
1891|ember|north|panel|70|held
1964|acme|north|rotor|18|held
1397|ember|north|panel|40|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, 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": "frame", "qty": 68}},
{"tool": "cancel_order", "args": {"order_id": 1194}},
{"tool": "cancel_order", "args": {"order_id": 1203}},
{"tool": "cancel_order", "args": {"order_id": 1683}}
]correctagentic.tools.ledger-v1conf 100% · 836ms · $0.001 · 537 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $757
- echo: $773
- delta: $339
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $280 from "echo" to "delta"
2. pay $507 from "echo" to "delta"
3. pay $571 from "oscar" to "delta"
4. pay $164 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": 280}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 14}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 507}},
{"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 571}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 164}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 164}}
]correctagentic.tools.deploy-v1conf 100% · 815ms · $0.000 · 287 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: gateway
- search: notifier
- gateway: notifier
- notifier: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}}
]correctagentic.tools.triage-v1conf 100% · 977ms · $0.000 · 246 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → dubois
- infra → novak
- data → chen
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "uploads failing intermittently" (category: infra, priority 5)
3. "records missing after import" (category: data, priority 8)
4. "records missing after import" (category: data, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]correctagentic.tools.deploy-v1conf 100% · 904ms · $0.000 · 389 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: (none)
- gateway: auth-svc, billing
- auth-svc: billing
- notifier: 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.context-load-v1conf 100% · 1.2s · $0.001 · 219 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (160 records, format: id|customer|region|item|qty|status):
```
1640|harbor|east|cable|55|paid
1766|fulton|west|panel|18|paid
1526|ionic|east|valve|55|shipped
1796|dorian|south|gasket|68|held
1607|fulton|south|frame|22|paid
1579|birch|south|sensor|76|paid
1783|ionic|south|gasket|30|held
1762|cobalt|north|rotor|54|pending
1316|acme|west|sensor|71|paid
1585|fulton|east|gasket|29|shipped
1592|fulton|south|frame|91|paid
1523|dorian|north|gasket|60|held
1741|ionic|south|pump|16|pending
1235|cobalt|south|rotor|24|pending
1635|dorian|west|panel|18|held
1727|acme|east|valve|19|pending
1705|dorian|east|panel|36|pending
1465|cobalt|west|rotor|33|shipped
1245|juno|south|gasket|49|shipped
1408|dorian|south|pump|28|held
1584|birch|north|cable|87|pending
1354|ionic|east|sensor|78|pending
1321|ember|west|gasket|51|pending
1557|ember|south|rotor|81|held
1380|harbor|south|valve|24|pending
1345|acme|west|sensor|86|held
1728|ember|west|cable|12|held
1189|harbor|north|cable|18|shipped
1220|harbor|north|cable|19|paid
1194|harbor|north|cable|62|pending
1581|fulton|north|valve|60|held
1429|acme|north|frame|84|paid
1740|ionic|west|cable|23|shipped
1398|harbor|south|valve|31|pending
1695|ember|east|frame|82|held
1482|fulton|west|pump|23|shipped
1228|juno|north|sensor|34|pending
1814|ember|west|frame|50|held
1748|dorian|north|frame|93|pending
1525|acme|east|sensor|59|held
1802|juno|west|sensor|52|pending
1716|harbor|south|frame|16|paid
1513|acme|west|pump|71|held
1459|juno|north|gasket|97|paid
1417|birch|south|frame|18|shipped
1808|birch|east|pump|86|paid
1433|acme|west|sensor|41|pending
1654|fulton|north|panel|77|shipped
1471|acme|west|gasket|51|pending
1289|cobalt|north|pump|83|paid
1552|dorian|north|rotor|27|shipped
1269|fulton|north|gasket|54|shipped
1218|harbor|east|gasket|37|pending
1578|cobalt|east|cable|92|pending
1624|birch|south|gasket|49|shipped
1687|dorian|north|cable|82|pending
1694|birch|south|gasket|47|held
1562|fulton|east|gasket|42|shipped
1491|dorian|north|sensor|99|pending
1294|gale|south|panel|24|pending
1734|ember|west|gasket|65|paid
1409|acme|south|gasket|25|shipped
1413|harbor|south|pump|98|paid
1675|acme|west|valve|30|shipped
1349|cobalt|east|gasket|12|paid
1424|acme|south|gasket|26|shipped
1506|cobalt|east|rotor|85|paid
1275|ionic|west|cable|75|pending
1477|dorian|east|sensor|16|pending
1665|gale|south|cable|70|pending
1296|dorian|north|rotor|17|pending
1547|fulton|south|pump|19|shipped
1327|dorian|east|valve|82|held
1691|fulton|west|valve|77|held
1451|dorian|east|panel|54|pending
1271|birch|east|sensor|97|paid
1214|harbor|north|panel|52|pending
1751|cobalt|west|pump|72|pending
1711|gale|east|cable|40|shipped
1699|gale|east|sensor|91|shipped
1297|cobalt|north|frame|35|pending
1533|birch|west|cable|26|paid
1492|ionic|west|cable|40|held
1437|acme|west|panel|12|paid
1690|ionic|west|frame|39|shipped
1669|ember|north|sensor|36|paid
1258|dorian|east|frame|19|pending
1406|dorian|west|panel|65|pending
1648|ember|north|frame|38|paid
1603|harbor|south|valve|41|pending
1680|fulton|east|valve|41|pending
1421|ember|north|panel|59|shipped
1221|harbor|west|pump|10|shipped
1365|juno|north|frame|47|held
1487|ember|west|valve|24|paid
1789|gale|west|frame|91|paid
1444|cobalt|south|valve|34|pending
1360|birch|south|sensor|81|paid
1304|gale|south|sensor|87|held
1618|ionic|north|valve|40|shipped
1244|acme|east|pump|85|shipped
1200|harbor|west|rotor|16|pending
1758|dorian|south|panel|47|held
1301|cobalt|north|pump|45|paid
1334|juno|south|gasket|92|held
1259|ionic|south|valve|46|held
1661|cobalt|east|panel|35|paid
1339|ionic|west|gasket|68|pending
1568|fulton|north|sensor|91|shipped
1207|harbor|north|frame|32|paid
1222|cobalt|east|pump|12|shipped
1799|birch|east|frame|20|shipped
1572|gale|west|frame|50|paid
1266|birch|south|pump|91|pending
1629|cobalt|west|panel|22|shipped
1771|birch|south|frame|96|shipped
1614|gale|north|valve|66|held
1566|harbor|south|cable|56|shipped
1280|gale|north|gasket|61|pending
1286|ionic|west|cable|38|paid
1455|gale|north|rotor|65|shipped
1356|fulton|north|valve|50|held
1481|fulton|west|rotor|57|held
1300|fulton|west|cable|63|shipped
1502|birch|north|pump|44|pending
1773|harbor|west|gasket|18|held
1720|fulton|north|rotor|54|held
1238|ionic|south|sensor|50|pending
1519|acme|west|panel|24|shipped
1599|ionic|south|panel|31|held
1183|harbor|north|gasket|82|pending
1634|cobalt|south|valve|88|pending
1352|acme|north|sensor|19|pending
1344|juno|north|gasket|55|shipped
1688|fulton|north|cable|91|held
1623|birch|north|cable|73|held
1803|ionic|south|valve|55|shipped
1281|fulton|east|cable|45|shipped
1780|birch|north|panel|14|shipped
1284|acme|east|cable|69|shipped
1373|fulton|west|sensor|23|shipped
1460|harbor|west|rotor|50|shipped
1647|birch|south|panel|18|pending
1226|dorian|north|gasket|33|paid
1243|ionic|south|valve|63|shipped
1188|harbor|east|panel|62|pending
1367|birch|south|gasket|73|shipped
1403|harbor|west|gasket|23|held
1449|ionic|east|sensor|85|held
1310|ember|west|pump|89|shipped
1453|acme|north|sensor|33|held
1392|ionic|west|valve|36|held
1551|harbor|west|valve|25|shipped
1248|ember|east|valve|78|pending
1254|ember|west|cable|25|held
1540|harbor|north|gasket|57|pending
1241|birch|south|gasket|38|held
1498|dorian|north|panel|80|paid
1420|juno|north|valve|80|held
1386|ionic|north|cable|73|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 41, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "cable", "qty": 62}},
{"tool": "restock", "args": {"item": "panel", "qty": 52}},
{"tool": "restock", "args": {"item": "gasket", "qty": 57}}
]correctagentic.tools.triage-v1conf 100% · 1.9s · $0.001 · 528 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → tanaka
- infra → haddad
- auth → okafor
INCIDENTS:
1. "records missing after import" (category: data, priority 6)
2. "API latency spikes" (category: infra, priority 2)
3. "locked out after 2FA change" (category: auth, priority 4)
4. "locked out after 2FA change" (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": "records missing after import", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]correctagentic.tools.context-load-v1conf 100% · 1.2s · $0.002 · 432 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (297 records, format: id|customer|region|item|qty|status):
```
2192|juno|east|sensor|65|held
1898|acme|south|panel|18|pending
2238|dorian|west|pump|11|paid
2035|dorian|west|panel|64|shipped
1333|birch|west|pump|60|paid
1678|ember|west|gasket|40|pending
2113|cobalt|west|sensor|18|paid
1717|harbor|north|valve|10|paid
2177|ionic|west|gasket|87|pending
1258|dorian|north|pump|54|pending
1422|birch|west|valve|24|shipped
2152|fulton|north|cable|28|shipped
1722|juno|north|gasket|83|pending
1311|ember|north|panel|87|shipped
2318|birch|south|panel|51|pending
2171|birch|north|cable|69|shipped
1516|harbor|north|rotor|85|paid
2324|ember|east|panel|58|shipped
1730|dorian|north|frame|18|paid
1265|dorian|west|panel|33|shipped
2051|juno|north|frame|72|shipped
2219|fulton|west|valve|46|held
2205|cobalt|north|gasket|61|held
1345|gale|west|frame|47|held
2335|gale|south|panel|72|shipped
1319|cobalt|east|gasket|32|held
1624|gale|south|valve|65|held
1242|dorian|west|sensor|53|pending
2187|birch|north|sensor|86|pending
2404|ionic|west|rotor|35|paid
1702|birch|north|panel|35|paid
1334|ionic|north|pump|69|pending
2338|birch|south|sensor|75|pending
1372|cobalt|north|frame|31|shipped
2129|cobalt|north|cable|50|shipped
1600|cobalt|south|frame|97|paid
1437|gale|north|panel|33|held
1382|fulton|south|frame|90|paid
1922|juno|west|panel|68|pending
1871|cobalt|west|panel|78|shipped
2269|fulton|east|valve|90|shipped
1936|ionic|south|panel|62|paid
2260|ember|west|pump|80|held
1853|harbor|south|cable|17|held
2279|fulton|south|pump|45|shipped
1736|acme|west|cable|83|paid
2180|cobalt|west|rotor|45|paid
1892|ionic|north|rotor|85|shipped
2420|ember|east|panel|42|paid
1637|ember|south|sensor|80|shipped
2048|acme|west|pump|76|shipped
1661|birch|east|panel|55|held
1749|ember|south|gasket|25|shipped
2287|cobalt|north|gasket|26|shipped
1864|ionic|east|gasket|46|held
1817|cobalt|west|cable|23|held
2293|ember|east|valve|21|pending
1511|ember|north|gasket|90|pending
1424|fulton|south|panel|19|held
1568|dorian|north|valve|17|shipped
1942|acme|west|frame|38|shipped
1988|ionic|north|valve|99|paid
2041|ionic|west|sensor|97|shipped
1877|gale|south|rotor|13|paid
1485|cobalt|west|sensor|98|paid
2069|fulton|south|gasket|12|paid
2100|ember|east|panel|18|pending
1403|acme|west|sensor|18|paid
1353|juno|west|gasket|61|held
1396|cobalt|north|cable|64|paid
2240|ionic|north|rotor|16|pending
1463|fulton|north|panel|98|held
1625|harbor|east|frame|25|held
2299|harbor|east|valve|98|shipped
1953|acme|south|gasket|48|shipped
2375|dorian|south|cable|23|held
1770|fulton|west|frame|82|pending
1290|dorian|west|pump|65|held
2131|acme|north|panel|88|paid
1863|juno|east|valve|91|held
1994|ionic|east|gasket|80|pending
1278|dorian|west|sensor|89|pending
1390|dorian|north|panel|94|held
1683|ionic|west|valve|41|pending
2147|fulton|west|sensor|77|held
1558|fulton|north|sensor|30|pending
2109|dorian|south|gasket|18|pending
2082|juno|north|valve|57|shipped
2093|dorian|north|valve|56|shipped
2327|ionic|south|rotor|79|held
1771|birch|south|valve|10|paid
1387|gale|west|valve|26|held
2122|ember|east|valve|39|paid
2313|gale|east|panel|70|paid
1748|gale|north|pump|21|shipped
2159|fulton|west|rotor|23|shipped
1376|cobalt|south|panel|86|shipped
1772|dorian|south|panel|91|paid
1577|birch|east|valve|85|held
2172|birch|south|rotor|45|pending
1690|harbor|west|rotor|49|held
1610|fulton|south|sensor|29|pending
1874|juno|west|gasket|85|pending
1766|ionic|north|cable|52|paid
1401|dorian|west|pump|39|held
1469|harbor|west|frame|71|paid
2005|birch|south|rotor|56|shipped
2194|ionic|south|gasket|22|shipped
1339|juno|west|frame|71|paid
1660|acme|south|gasket|43|paid
2077|harbor|east|frame|51|shipped
1962|acme|east|cable|75|paid
2328|harbor|south|pump|99|shipped
2156|ionic|west|gasket|13|held
1551|fulton|east|rotor|80|shipped
1939|harbor|west|gasket|30|pending
1845|birch|south|cable|82|shipped
1746|cobalt|north|valve|91|paid
1849|acme|east|sensor|51|paid
1755|ember|south|panel|11|held
1536|cobalt|north|sensor|13|shipped
1462|birch|west|rotor|43|pending
1407|birch|west|panel|52|shipped
1791|juno|north|sensor|95|held
2350|fulton|north|cable|22|shipped
1915|acme|south|valve|87|held
1794|cobalt|south|rotor|93|held
1617|gale|north|cable|93|pending
1313|juno|south|pump|58|held
2411|birch|south|rotor|26|shipped
1439|juno|north|cable|65|shipped
2382|cobalt|south|pump|30|pending
1672|harbor|north|sensor|45|paid
1948|cobalt|west|valve|22|pending
2262|ionic|east|panel|14|paid
1909|juno|north|valve|62|pending
1400|juno|south|cable|32|held
1978|gale|south|panel|45|paid
1807|birch|south|pump|66|held
1495|gale|north|sensor|36|shipped
1283|dorian|east|rotor|36|pending
1823|acme|west|rotor|76|held
1482|ember|west|valve|93|paid
1856|gale|east|cable|98|pending
1886|birch|east|rotor|79|held
1269|dorian|west|valve|44|pending
1378|juno|east|gasket|59|paid
1563|fulton|west|rotor|94|shipped
2086|fulton|south|cable|49|shipped
1275|dorian|north|gasket|97|pending
1329|cobalt|west|sensor|87|pending
1870|dorian|east|cable|65|held
1446|cobalt|east|gasket|75|pending
1532|fulton|south|pump|26|paid
1649|gale|east|cable|86|shipped
1891|acme|west|gasket|30|paid
2409|ember|south|sensor|11|held
1697|harbor|south|sensor|26|pending
2312|harbor|west|panel|13|held
2367|ionic|south|rotor|68|shipped
1747|juno|west|cable|93|pending
1744|ionic|north|sensor|92|paid
1302|dorian|west|rotor|17|shipped
2249|birch|east|frame|91|paid
2001|ember|south|rotor|84|pending
2132|fulton|east|cable|89|held
1291|dorian|west|sensor|64|pending
2145|ember|south|sensor|52|paid
2280|ionic|west|cable|67|shipped
1728|ionic|east|valve|43|held
1938|acme|south|panel|85|held
2400|ionic|north|panel|42|paid
1580|acme|north|rotor|24|paid
2166|cobalt|west|sensor|68|paid
1438|dorian|east|panel|85|pending
1248|dorian|south|cable|98|pending
2394|gale|south|cable|98|shipped
2354|ionic|north|gasket|91|shipped
2028|cobalt|north|panel|90|shipped
1490|fulton|south|gasket|99|held
1384|ember|south|sensor|37|shipped
2102|juno|south|rotor|82|shipped
1646|harbor|south|pump|64|shipped
1883|birch|west|valve|45|shipped
1974|dorian|west|rotor|27|shipped
1373|juno|north|valve|45|held
1455|ember|east|rotor|46|shipped
2361|ionic|west|sensor|82|held
1321|harbor|south|valve|83|held
1956|juno|south|gasket|32|paid
2245|dorian|south|frame|72|held
1412|birch|east|rotor|99|shipped
2059|gale|east|panel|45|pending
1656|acme|south|sensor|43|paid
2233|acme|south|panel|79|paid
1954|acme|north|gasket|73|paid
2021|harbor|west|cable|92|pending
1379|cobalt|west|gasket|19|paid
1682|cobalt|west|sensor|22|paid
1833|ionic|south|panel|43|shipped
1489|dorian|east|sensor|85|pending
1478|dorian|south|panel|31|shipped
2372|ember|west|panel|41|paid
1929|ionic|east|pump|70|pending
2056|ember|east|frame|24|pending
1594|ember|north|pump|53|shipped
2019|dorian|north|rotor|18|shipped
2138|birch|south|cable|72|pending
1603|birch|east|panel|28|pending
1902|ionic|south|pump|72|paid
1256|dorian|west|rotor|65|pending
2235|juno|north|gasket|89|shipped
2393|juno|north|rotor|17|paid
2321|cobalt|north|panel|89|shipped
1391|ionic|east|panel|36|pending
1526|birch|south|sensor|50|pending
1499|ionic|north|valve|88|shipped
1709|harbor|west|frame|44|pending
2119|cobalt|north|sensor|68|paid
1543|gale|south|panel|77|held
1351|juno|south|panel|87|pending
1776|cobalt|west|pump|12|paid
1585|gale|west|panel|78|pending
2272|birch|west|frame|16|pending
1969|juno|south|rotor|89|paid
1366|fulton|south|rotor|13|held
1641|birch|west|gasket|72|pending
1519|harbor|north|rotor|33|pending
2212|harbor|east|valve|68|held
2181|acme|south|sensor|27|held
1506|ember|east|frame|58|shipped
2228|cobalt|south|panel|14|held
1276|dorian|west|gasket|98|paid
2216|acme|west|rotor|62|pending
1839|ember|north|sensor|47|pending
2386|ionic|east|gasket|18|shipped
2252|fulton|east|valve|14|pending
1804|birch|north|valve|40|pending
1430|ionic|east|gasket|28|held
1795|gale|east|cable|37|held
1496|fulton|north|valve|14|paid
2203|gale|west|panel|32|shipped
2003|juno|east|gasket|66|paid
1572|gale|north|sensor|23|paid
2026|acme|south|panel|29|pending
2421|harbor|west|cable|74|pending
2224|ember|south|valve|54|pending
1674|fulton|west|cable|28|shipped
2112|harbor|north|cable|98|paid
1800|dorian|south|panel|85|paid
1716|harbor|west|rotor|49|shipped
2344|ionic|west|panel|45|shipped
1778|gale|east|sensor|86|pending
1666|birch|north|sensor|27|shipped
1295|dorian|east|rotor|95|pending
1546|ember|north|sensor|80|held
2359|cobalt|south|cable|75|pending
2305|cobalt|north|pump|17|paid
2323|ionic|south|cable|65|pending
1251|dorian|west|pump|55|shipped
2379|ionic|east|gasket|20|held
2016|harbor|west|sensor|89|shipped
2384|dorian|west|valve|33|paid
1386|ionic|west|cable|53|paid
1743|gale|east|gasket|47|pending
2274|cobalt|east|panel|47|held
1317|acme|east|frame|78|paid
1643|dorian|south|valve|43|held
1307|cobalt|east|cable|21|pending
2294|dorian|north|valve|10|held
1761|harbor|west|panel|16|paid
1785|dorian|west|sensor|82|shipped
2009|ionic|west|gasket|97|paid
1588|juno|south|sensor|27|pending
1416|harbor|north|panel|87|paid
2418|gale|north|pump|12|held
1392|ember|west|sensor|32|pending
2066|acme|west|gasket|28|held
2071|cobalt|west|pump|38|held
2230|juno|east|gasket|96|paid
1370|ember|east|gasket|72|paid
2195|cobalt|west|gasket|27|pending
1578|harbor|west|sensor|56|shipped
2256|dorian|south|sensor|86|pending
1627|dorian|west|rotor|47|paid
1814|fulton|south|valve|99|held
1830|juno|east|rotor|28|shipped
1404|acme|east|gasket|68|pending
1327|juno|north|frame|10|paid
1981|ionic|south|pump|51|held
2383|cobalt|east|sensor|48|held
1827|ionic|west|sensor|56|shipped
1634|juno|west|panel|11|paid
2200|harbor|south|valve|36|shipped
1360|ionic|east|panel|86|held
1451|ionic|south|pump|55|paid
1473|gale|west|pump|40|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1242}},
{"tool": "restock", "args": {"item": "rotor", "qty": 65}},
{"tool": "cancel_order", "args": {"order_id": 1269}},
{"tool": "restock", "args": {"item": "sensor", "qty": 89}},
{"tool": "restock", "args": {"item": "sensor", "qty": 64}}
]correctagentic.tools.ledger-v1conf 100% · 195ms · $0.001 · 789 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: $838
- alpha: $551
- echo: $378
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $565 from "delta" to "alpha"
2. pay $119 from "echo" to "delta"
3. pay $581 from "echo" to "alpha"
4. pay $479 from "echo" to "alpha"
5. pay $198 from "delta" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 565}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 119}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 322}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 581}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 479}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 479}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 198}}
]correctagentic.tools.deploy-v1conf 95% · 1.2s · $0.000 · 401 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc, notifier
- auth-svc: notifier
- gateway: auth-svc, billing
- notifier: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 1.5s · $0.001 · 587 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: $787
- lima: $877
- alpha: $541
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $279 from "alpha" to "delta"
2. pay $363 from "alpha" to "lima"
3. pay $442 from "delta" to "alpha"
4. pay $275 from "delta" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 279}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 101}},
{"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 363}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 442}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 275}}
]correctagentic.tools.triage-v1conf 100% · 173ms · $0.000 · 270 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 → rivera
- infra → haddad
- auth → okafor
INCIDENTS:
1. "records missing after import" (category: data, priority 8)
2. "webhooks not delivered" (category: infra, priority 6)
3. "webhooks not delivered" (category: infra, priority 6)
4. "records missing after import" (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": "records missing after import", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "rivera"}}
]correctagentic.tools.context-load-v1conf 100% · 1.0s · $0.001 · 470 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 (127 records, format: id|customer|region|item|qty|status):
```
1122|birch|east|sensor|23|paid
1146|dorian|east|gasket|77|paid
1147|harbor|east|rotor|14|pending
1267|fulton|east|panel|78|pending
1174|juno|north|pump|18|pending
1486|gale|west|gasket|57|held
1086|dorian|west|gasket|67|pending
1552|acme|west|panel|10|paid
1153|ionic|west|rotor|84|pending
1091|dorian|north|cable|75|pending
1256|juno|south|frame|38|paid
1115|harbor|south|frame|23|held
1069|dorian|north|pump|42|pending
1351|harbor|south|cable|71|pending
1102|dorian|south|panel|62|pending
1497|gale|east|rotor|19|pending
1308|ember|north|cable|33|paid
1482|dorian|east|frame|87|pending
1284|fulton|east|panel|31|shipped
1384|dorian|north|sensor|67|shipped
1190|juno|west|pump|98|paid
1101|dorian|north|pump|74|pending
1518|juno|south|valve|57|pending
1499|ionic|north|valve|24|paid
1294|acme|south|panel|85|pending
1295|harbor|north|frame|39|pending
1314|harbor|east|sensor|49|shipped
1490|ionic|north|cable|95|held
1511|harbor|east|rotor|85|shipped
1328|juno|west|sensor|49|shipped
1373|ember|west|valve|71|shipped
1114|gale|south|sensor|81|pending
1079|dorian|north|pump|48|pending
1316|dorian|east|panel|32|pending
1209|dorian|south|panel|31|held
1394|gale|west|rotor|98|paid
1120|harbor|east|panel|70|paid
1419|harbor|north|frame|70|paid
1160|harbor|west|panel|98|pending
1526|ember|north|sensor|41|paid
1538|fulton|west|sensor|17|held
1455|birch|south|cable|61|pending
1216|fulton|north|gasket|40|pending
1520|ember|west|pump|90|pending
1203|cobalt|east|sensor|43|shipped
1261|birch|south|sensor|62|pending
1223|birch|west|valve|13|pending
1390|ember|east|panel|26|held
1218|fulton|south|cable|22|paid
1310|dorian|east|pump|45|shipped
1356|juno|west|gasket|57|shipped
1126|acme|south|gasket|27|pending
1449|birch|north|cable|79|paid
1269|harbor|south|valve|75|shipped
1532|ionic|east|cable|72|pending
1513|cobalt|east|valve|60|pending
1230|harbor|south|gasket|80|pending
1291|harbor|south|valve|35|shipped
1136|birch|west|cable|64|pending
1545|cobalt|south|rotor|47|paid
1194|ionic|north|sensor|15|pending
1400|acme|north|cable|84|paid
1321|fulton|east|cable|34|shipped
1528|dorian|north|pump|90|held
1344|fulton|north|cable|94|shipped
1403|ember|west|panel|99|paid
1070|dorian|west|pump|61|pending
1235|dorian|east|frame|63|paid
1410|fulton|west|rotor|66|shipped
1504|acme|west|sensor|42|held
1442|birch|north|frame|10|held
1378|birch|west|pump|17|pending
1385|juno|north|gasket|85|shipped
1109|dorian|north|panel|25|paid
1272|fulton|east|gasket|57|paid
1379|gale|west|panel|35|pending
1430|birch|north|cable|54|pending
1088|dorian|north|rotor|75|shipped
1300|juno|west|panel|32|held
1138|gale|east|rotor|81|held
1098|dorian|west|frame|76|pending
1141|fulton|east|frame|76|shipped
1338|acme|north|sensor|66|pending
1473|dorian|east|rotor|29|held
1478|birch|west|gasket|92|paid
1073|dorian|north|gasket|17|shipped
1398|acme|north|panel|91|shipped
1543|dorian|east|sensor|61|held
1149|cobalt|east|frame|19|shipped
1100|dorian|north|frame|67|held
1276|ember|east|gasket|94|shipped
1530|ember|west|sensor|58|paid
1437|birch|north|cable|83|held
1363|gale|east|sensor|57|held
1456|birch|west|frame|23|pending
1304|acme|east|gasket|21|held
1148|harbor|north|cable|16|shipped
1466|fulton|west|gasket|27|shipped
1140|gale|south|rotor|54|held
1474|fulton|west|valve|50|held
1248|fulton|north|panel|71|pending
1192|acme|east|pump|75|paid
1414|dorian|east|valve|66|paid
1556|dorian|west|cable|75|shipped
1502|ember|north|pump|92|paid
1277|juno|south|cable|76|paid
1181|juno|south|valve|84|held
1167|birch|east|gasket|56|shipped
1372|gale|south|cable|21|held
1555|harbor|east|rotor|68|pending
1462|fulton|south|panel|80|held
1358|cobalt|north|sensor|20|pending
1200|gale|north|cable|75|pending
1523|ionic|north|gasket|24|pending
1254|ionic|south|sensor|55|held
1521|ember|east|valve|97|shipped
1239|harbor|north|pump|16|held
1332|dorian|east|rotor|68|held
1423|gale|north|cable|80|paid
1187|dorian|south|rotor|86|paid
1527|dorian|east|pump|75|paid
1366|birch|south|cable|73|shipped
1245|harbor|north|valve|53|paid
1231|acme|south|panel|22|paid
1522|juno|west|cable|88|held
1417|dorian|west|gasket|34|shipped
1131|harbor|west|rotor|81|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1069}},
{"tool": "cancel_order", "args": {"order_id": 1079}},
{"tool": "restock", "args": {"item": "cable", "qty": 75}},
{"tool": "restock", "args": {"item": "pump", "qty": 74}}
]correctagentic.tools.deploy-v1conf 100% · 174ms · $0.000 · 109 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)
- billing: reports
- gateway: billing, reports
- notifier: gateway, reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]correctagentic.tools.ledger-v1conf 100% · 635ms · $0.001 · 769 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: $643
- alpha: $584
- delta: $395
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $282 from "bravo" to "delta"
2. pay $369 from "alpha" to "delta"
3. pay $282 from "alpha" to "bravo"
4. pay $383 from "alpha" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 282}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 369}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 67}},
{"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 282}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 383}},
{"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 383}}
]correctagentic.tools.triage-v1conf 100% · 244ms · $0.000 · 244 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:
- infra → okafor
- data → rivera
- auth → chen
INCIDENTS:
1. "API latency spikes" (category: infra, priority 5)
2. "export file corrupted" (category: data, priority 3)
3. "SSO loop on login" (category: auth, priority 6)
4. "SSO loop on login" (category: auth, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]wrongagentic.tools.context-load-v1conf 100% · 149ms · $0.001 · 420 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 (264 records, format: id|customer|region|item|qty|status):
```
2176|juno|north|panel|81|paid
2039|cobalt|west|gasket|89|pending
1835|birch|south|cable|28|paid
1618|ionic|west|panel|40|shipped
1270|dorian|east|panel|19|pending
2247|juno|west|rotor|85|shipped
1941|ember|east|valve|17|paid
2194|ember|west|panel|74|held
1430|harbor|east|cable|23|pending
2055|dorian|north|gasket|25|paid
1546|gale|north|valve|76|paid
2250|fulton|east|frame|90|paid
1479|ionic|north|gasket|11|held
1918|birch|west|sensor|64|shipped
1916|birch|east|valve|94|paid
1855|gale|north|pump|38|paid
1976|birch|north|cable|74|shipped
2127|juno|west|cable|60|paid
1378|ember|north|valve|91|paid
1630|acme|south|valve|51|paid
1874|gale|south|cable|98|pending
1850|ember|south|frame|85|paid
2141|fulton|north|frame|68|shipped
1762|acme|south|gasket|18|pending
1684|harbor|east|pump|55|pending
1801|gale|north|cable|51|held
1364|fulton|south|pump|76|shipped
2145|ionic|west|valve|18|shipped
1867|harbor|west|gasket|47|shipped
1959|ember|north|pump|43|held
1905|birch|west|sensor|33|pending
1472|cobalt|west|cable|25|held
1356|juno|south|cable|64|paid
2020|ember|north|panel|86|held
1982|gale|south|rotor|58|pending
1971|juno|south|rotor|78|paid
2307|acme|east|frame|28|shipped
1570|acme|east|sensor|73|pending
1989|birch|east|cable|85|held
1489|birch|south|valve|76|pending
2204|ionic|east|rotor|88|shipped
1635|acme|west|panel|69|paid
1767|dorian|north|pump|11|paid
2177|fulton|north|rotor|22|pending
1829|juno|south|panel|22|shipped
2172|ember|east|cable|83|pending
1321|ember|west|gasket|56|pending
2335|gale|west|valve|86|pending
1538|cobalt|west|cable|86|paid
2187|dorian|west|panel|91|held
2284|gale|east|sensor|49|shipped
2015|ember|north|panel|45|pending
1298|dorian|east|frame|84|pending
2083|cobalt|west|valve|23|shipped
2032|birch|south|gasket|70|pending
1778|ionic|west|cable|41|held
1304|dorian|north|cable|62|pending
1709|gale|east|valve|86|paid
1350|acme|south|cable|89|pending
1716|juno|north|sensor|81|shipped
1484|ionic|east|cable|30|pending
2130|gale|west|valve|37|held
1518|fulton|east|panel|84|paid
1590|fulton|north|valve|84|held
1427|birch|north|frame|80|paid
1595|birch|south|cable|26|pending
2028|fulton|west|panel|47|paid
1316|acme|west|frame|58|held
2201|cobalt|east|valve|77|paid
2263|acme|west|frame|10|held
1659|cobalt|north|sensor|38|shipped
1297|dorian|east|cable|57|paid
1784|cobalt|north|rotor|60|shipped
1679|ionic|north|pump|26|held
1308|birch|south|gasket|27|shipped
1327|harbor|east|sensor|72|held
1441|gale|east|panel|87|shipped
2302|birch|east|rotor|83|held
1952|juno|south|sensor|94|paid
1749|gale|west|gasket|55|paid
1702|fulton|west|rotor|90|shipped
1601|birch|north|frame|53|shipped
1743|acme|north|gasket|28|paid
1575|harbor|north|frame|93|shipped
1312|birch|north|cable|69|shipped
1560|ember|east|panel|26|held
1945|acme|west|cable|39|pending
1990|juno|north|rotor|17|pending
1466|fulton|east|frame|10|paid
2152|dorian|south|frame|21|shipped
2023|ionic|east|frame|60|shipped
1968|fulton|north|rotor|55|pending
1665|ionic|east|sensor|32|pending
1640|dorian|east|gasket|83|held
1330|gale|south|valve|50|pending
1883|juno|west|gasket|68|held
1584|harbor|west|cable|65|paid
1431|juno|south|sensor|29|pending
2324|acme|west|frame|77|shipped
1738|juno|west|sensor|52|pending
1974|cobalt|east|frame|80|held
2044|birch|north|cable|40|paid
1802|ember|south|sensor|82|pending
1892|dorian|south|frame|99|shipped
2098|juno|west|panel|98|paid
1351|dorian|north|panel|50|paid
2313|gale|south|sensor|61|held
1383|acme|west|valve|64|paid
2229|fulton|north|panel|72|shipped
1689|birch|east|gasket|41|paid
1462|juno|west|pump|81|paid
1522|acme|east|rotor|89|held
1692|juno|west|panel|77|paid
1806|juno|west|cable|70|shipped
2228|cobalt|east|gasket|34|held
1623|ember|east|panel|49|pending
2331|cobalt|east|valve|94|paid
1621|juno|east|valve|39|pending
1837|dorian|west|frame|38|shipped
2017|ember|south|cable|71|held
1458|dorian|west|gasket|36|paid
2116|dorian|north|gasket|39|pending
2278|ember|south|cable|34|paid
1421|birch|south|cable|40|shipped
2262|birch|west|rotor|64|paid
1962|acme|east|sensor|18|held
1775|cobalt|south|sensor|25|paid
1934|juno|east|cable|83|shipped
1277|dorian|south|gasket|52|pending
2091|cobalt|north|frame|35|shipped
1551|fulton|east|gasket|20|pending
1542|gale|west|rotor|19|paid
1695|acme|east|rotor|29|shipped
1673|dorian|west|cable|22|paid
2272|gale|east|pump|66|shipped
1563|juno|north|valve|18|held
2061|cobalt|north|cable|19|paid
1589|ionic|south|pump|37|shipped
1399|cobalt|east|valve|24|shipped
1745|birch|west|valve|71|paid
2016|ionic|south|cable|62|pending
2339|juno|east|frame|35|held
1884|gale|south|panel|80|pending
1339|cobalt|north|valve|17|held
1675|birch|south|valve|88|shipped
1510|birch|west|cable|54|shipped
1496|birch|south|panel|90|shipped
2074|birch|south|valve|54|pending
2050|juno|west|frame|96|pending
2157|birch|north|rotor|47|paid
1797|gale|north|gasket|81|shipped
1727|birch|north|pump|12|pending
1852|gale|east|valve|30|paid
2080|ionic|south|gasket|38|pending
1413|cobalt|north|rotor|64|paid
2344|juno|south|panel|67|pending
1516|ember|south|cable|68|pending
1911|fulton|south|frame|48|shipped
1361|harbor|east|rotor|94|pending
2236|acme|west|panel|37|pending
1385|harbor|east|pump|11|paid
1529|ionic|east|valve|85|pending
2136|cobalt|east|cable|43|shipped
2274|gale|south|panel|95|paid
1917|dorian|north|pump|51|held
2054|juno|south|frame|22|shipped
1913|acme|east|pump|11|pending
2332|ember|south|sensor|73|pending
1596|fulton|east|pump|66|pending
2086|juno|south|pump|59|paid
1497|harbor|south|panel|64|pending
1418|ember|south|rotor|57|held
1996|birch|west|panel|80|paid
1501|juno|south|gasket|78|held
2256|acme|north|gasket|52|paid
1951|birch|east|panel|17|pending
2239|ionic|south|valve|79|paid
1796|fulton|west|sensor|28|paid
1346|gale|north|panel|20|pending
1956|ionic|north|cable|16|held
1283|dorian|east|panel|94|held
1608|ember|south|rotor|98|pending
1786|cobalt|south|gasket|45|pending
2105|gale|east|pump|38|pending
2034|fulton|west|frame|51|shipped
1660|birch|south|gasket|32|held
1820|fulton|east|valve|95|held
1468|birch|south|rotor|29|shipped
1914|dorian|south|pump|82|held
1823|harbor|north|rotor|10|pending
2042|birch|south|frame|90|pending
1556|juno|west|rotor|21|paid
2162|fulton|north|pump|30|shipped
2186|fulton|west|rotor|19|pending
1929|ember|north|gasket|36|shipped
1733|fulton|west|panel|48|pending
1708|cobalt|east|rotor|96|pending
1818|ionic|east|panel|15|shipped
2041|gale|north|valve|26|held
1790|cobalt|south|valve|34|held
2296|gale|north|panel|46|pending
1307|dorian|east|frame|32|paid
1481|harbor|north|valve|62|held
1682|ionic|north|frame|73|pending
2242|fulton|south|pump|13|held
1771|fulton|west|gasket|29|held
1371|birch|north|gasket|76|pending
1453|fulton|east|frame|79|paid
2208|dorian|north|sensor|41|paid
2112|ember|west|cable|95|held
1354|cobalt|north|rotor|60|paid
1536|harbor|north|valve|66|pending
2291|acme|east|sensor|24|paid
1511|harbor|east|panel|36|held
2217|ionic|west|sensor|77|held
1694|juno|north|pump|32|shipped
1408|ember|south|cable|72|paid
1504|dorian|west|sensor|80|held
1885|fulton|north|pump|13|pending
2183|birch|east|sensor|85|pending
2223|dorian|east|cable|89|paid
1858|cobalt|east|frame|21|paid
1448|fulton|north|sensor|45|pending
1404|dorian|east|rotor|90|paid
1942|ionic|west|panel|68|pending
1284|dorian|east|rotor|22|pending
1722|ember|east|panel|98|pending
2121|cobalt|east|rotor|90|shipped
2277|dorian|north|cable|18|pending
1653|acme|west|rotor|34|held
2270|gale|north|cable|41|shipped
2082|birch|east|cable|27|paid
1647|ember|west|cable|75|paid
1755|birch|north|frame|27|paid
2095|birch|east|cable|34|paid
1435|ember|east|rotor|81|shipped
2010|fulton|south|panel|96|pending
1392|juno|west|valve|14|pending
1403|birch|south|sensor|43|held
2226|birch|west|rotor|35|pending
1925|ionic|south|valve|89|shipped
1483|ember|south|sensor|63|paid
1291|dorian|west|sensor|43|pending
1334|ember|west|frame|86|shipped
2317|acme|north|valve|18|paid
2210|dorian|south|valve|66|pending
2295|harbor|south|gasket|89|pending
1420|cobalt|east|rotor|31|shipped
2068|ember|east|cable|40|pending
1843|gale|north|gasket|25|paid
1898|ember|east|panel|83|held
1411|dorian|south|pump|87|shipped
1860|acme|east|valve|62|pending
1615|dorian|east|pump|50|shipped
1579|cobalt|north|panel|48|held
1721|fulton|north|rotor|68|shipped
1879|ionic|west|gasket|99|held
1988|cobalt|south|sensor|54|paid
2003|cobalt|east|cable|14|paid
2019|cobalt|east|rotor|10|paid
1811|cobalt|west|cable|42|held
1950|gale|east|rotor|26|shipped
2166|juno|south|pump|26|pending
1667|juno|north|sensor|93|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1270}},
{"tool": "cancel_order", "args": {"order_id": 1298}},
{"tool": "cancel_order", "args": {"order_id": 1484}},
{"tool": "cancel_order", "args": {"order_id": 1551}},
{"tool": "cancel_order", "args": {"order_id": 1623}},
{"tool": "cancel_order", "args": {"order_id": 1722}},
{"tool": "cancel_order", "args": {"order_id": 2010}},
{"tool": "restock", "args": {"item": "frame", "qty": 84}},
{"tool": "restock", "args": {"item": "cable", "qty": 89}},
{"tool": "restock", "args": {"item": "cable", "qty": 62}},
{"tool": "restock", "args": {"item": "gasket", "qty": 83}},
{"tool": "restock", "args": {"item": "rotor", "qty": 90}},
{"tool": "restock", "args": {"item": "rotor", "qty": 22}},
{"tool": "restock", "args": {"item": "gasket", "qty": 52}},
{"tool": "restock", "args": {"item": "cable", "qty": 57}},
{"tool": "restock", "args": {"item": "panel", "qty": 94}},
{"tool": "restock", "args": {"item": "cable", "qty": 89}},
{"tool": "restock", "args": {"item": "cable", "qty": 18}}
]correctagentic.tools.deploy-v1conf 100% · 172ms · $0.000 · 109 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: reports
- reports: (none)
- gateway: notifier
- 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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.triage-v1conf 100% · 200ms · $0.000 · 189 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → tanaka
- auth → okafor
- data → novak
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 6)
2. "cannot reset password" (category: auth, priority 3)
3. "webhooks not delivered" (category: infra, 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": "webhooks not delivered", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1conf 95% · 1.1s · $0.001 · 445 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 (241 records, format: id|customer|region|item|qty|status):
```
1910|gale|south|valve|82|paid
1556|ionic|east|rotor|90|pending
1718|fulton|north|panel|79|paid
2144|birch|east|valve|48|held
1811|birch|north|sensor|22|shipped
1546|ionic|west|gasket|94|paid
1751|ember|east|frame|55|pending
1443|ionic|north|rotor|66|pending
1628|juno|west|gasket|94|shipped
1987|acme|west|rotor|79|pending
1574|fulton|west|sensor|55|pending
1964|birch|west|rotor|68|shipped
1898|ionic|west|valve|63|held
2407|gale|east|valve|80|paid
2205|ionic|west|frame|39|pending
2035|cobalt|north|panel|13|held
1862|juno|north|frame|34|paid
1879|ionic|east|valve|88|pending
2051|acme|south|gasket|52|pending
1733|cobalt|east|cable|74|shipped
1424|ionic|east|panel|57|pending
1872|dorian|south|gasket|86|held
2180|harbor|north|cable|66|shipped
2206|fulton|north|valve|12|held
2347|ionic|west|rotor|32|shipped
2105|dorian|south|valve|21|shipped
1941|cobalt|east|cable|68|pending
2391|dorian|west|pump|84|paid
2270|juno|north|rotor|82|paid
1645|fulton|south|frame|17|held
2259|acme|east|gasket|88|held
1687|acme|west|valve|98|held
2113|ember|north|pump|39|pending
1539|ionic|north|panel|22|paid
2418|ionic|north|panel|24|paid
2171|cobalt|south|pump|60|held
2312|cobalt|south|panel|48|pending
1569|fulton|west|cable|73|pending
2041|ionic|north|panel|22|pending
1608|acme|east|panel|53|shipped
2419|gale|west|gasket|77|paid
2150|juno|north|valve|84|shipped
2411|ionic|east|rotor|55|pending
2322|ember|west|panel|16|shipped
1740|acme|west|frame|99|pending
1783|fulton|south|valve|62|pending
1960|acme|west|frame|22|paid
1889|gale|east|gasket|56|shipped
1637|harbor|north|cable|12|paid
1468|ionic|east|cable|26|pending
1500|cobalt|east|sensor|88|paid
2183|acme|south|gasket|23|shipped
2068|ember|north|pump|31|held
2301|acme|south|gasket|56|shipped
1813|acme|east|gasket|75|paid
1477|gale|west|rotor|63|shipped
2043|acme|west|frame|81|shipped
2382|cobalt|west|pump|81|shipped
1614|ionic|east|sensor|65|shipped
2158|harbor|west|sensor|86|paid
2254|juno|south|panel|13|held
1746|juno|south|valve|58|held
2095|harbor|east|frame|37|held
1491|birch|west|cable|56|held
1625|juno|north|gasket|82|paid
1593|ember|north|pump|66|pending
2243|gale|west|sensor|63|held
2214|cobalt|north|panel|52|pending
2058|ember|north|sensor|21|pending
2191|harbor|west|cable|40|held
1432|ionic|north|rotor|58|pending
2204|birch|south|frame|38|paid
1412|ionic|east|gasket|35|pending
1836|dorian|east|pump|82|shipped
2288|ionic|east|pump|93|shipped
1672|fulton|south|rotor|27|shipped
2198|gale|south|gasket|10|paid
2354|ember|south|pump|93|pending
1765|acme|north|gasket|71|pending
1576|gale|east|gasket|26|held
2361|harbor|east|gasket|56|shipped
2298|juno|west|pump|30|shipped
2329|acme|east|rotor|70|held
1478|cobalt|north|panel|83|shipped
1777|cobalt|west|pump|46|shipped
1473|ionic|north|valve|53|shipped
1826|juno|south|pump|15|held
1694|dorian|south|rotor|37|held
2242|birch|east|panel|96|shipped
1917|ember|east|pump|96|shipped
1622|harbor|south|gasket|53|shipped
2001|acme|south|rotor|53|shipped
2249|ember|north|valve|11|pending
1575|acme|east|pump|25|held
1476|acme|south|cable|46|paid
1952|harbor|south|sensor|68|paid
1661|fulton|west|rotor|15|pending
2275|ember|west|panel|75|pending
1532|acme|east|panel|66|shipped
1819|cobalt|west|pump|54|held
1639|juno|north|gasket|34|pending
2173|birch|south|rotor|38|pending
1875|juno|north|gasket|88|paid
1523|gale|south|frame|50|held
1632|ember|west|valve|82|held
1474|dorian|west|gasket|61|shipped
2061|fulton|west|cable|13|held
2423|dorian|north|gasket|97|paid
2268|dorian|east|pump|60|shipped
2153|ember|west|rotor|18|pending
1411|ionic|north|sensor|74|pending
1905|dorian|west|gasket|85|shipped
2365|juno|south|sensor|69|held
1921|cobalt|east|pump|68|pending
1731|cobalt|east|sensor|89|pending
1848|juno|east|sensor|74|held
2071|cobalt|west|pump|91|paid
1612|acme|west|rotor|72|held
1563|harbor|north|gasket|13|shipped
1884|acme|west|rotor|32|paid
2186|fulton|west|cable|21|shipped
2264|dorian|north|panel|50|shipped
1792|birch|west|sensor|15|paid
2371|ionic|west|frame|65|held
2310|acme|east|panel|28|shipped
1961|harbor|south|gasket|24|pending
2101|ember|east|cable|87|shipped
1786|acme|south|frame|61|paid
1581|acme|west|valve|24|held
2014|ember|west|panel|98|held
2303|harbor|north|frame|81|held
1507|juno|east|valve|97|shipped
2398|cobalt|north|pump|24|pending
1588|acme|east|sensor|91|pending
1920|birch|west|frame|61|paid
1480|cobalt|south|rotor|19|held
1494|birch|west|pump|28|shipped
1763|harbor|east|frame|96|shipped
1893|fulton|east|cable|22|held
2343|ionic|south|frame|45|paid
2152|gale|east|sensor|69|shipped
1713|ember|south|panel|19|shipped
2108|birch|north|pump|66|pending
2403|juno|north|rotor|80|shipped
1606|birch|north|gasket|65|paid
2044|cobalt|north|gasket|98|paid
1675|birch|north|cable|34|pending
1795|acme|south|sensor|87|pending
1461|ionic|north|sensor|80|pending
1517|dorian|west|sensor|34|paid
1994|birch|south|cable|41|held
2424|dorian|north|frame|38|paid
1944|birch|west|cable|39|paid
2263|harbor|west|pump|25|shipped
2007|ember|east|sensor|82|paid
2314|ionic|north|rotor|63|held
1857|birch|north|frame|35|shipped
2400|gale|east|cable|60|pending
1426|ionic|north|panel|39|held
1437|ionic|south|panel|91|pending
2221|cobalt|south|valve|81|held
1454|ionic|north|cable|94|held
2126|juno|east|gasket|50|shipped
2267|fulton|south|rotor|92|pending
1833|fulton|east|panel|45|shipped
2212|dorian|east|sensor|50|shipped
1615|gale|south|rotor|92|held
1666|dorian|east|rotor|46|paid
1725|harbor|west|frame|54|pending
2176|acme|north|rotor|48|paid
2387|fulton|east|rotor|75|shipped
2241|dorian|east|valve|95|pending
1535|ionic|south|cable|75|pending
2073|juno|south|cable|54|pending
2132|gale|north|gasket|99|paid
2021|birch|east|panel|74|paid
2162|ember|north|rotor|23|pending
2373|gale|east|sensor|51|pending
2076|birch|west|gasket|32|held
2090|ember|north|rotor|90|shipped
2088|ember|east|rotor|63|paid
1508|cobalt|east|sensor|79|paid
2245|fulton|east|panel|82|shipped
2292|dorian|west|sensor|26|paid
2336|gale|west|frame|17|paid
1891|fulton|west|panel|61|pending
1422|ionic|north|frame|39|pending
1681|ember|north|sensor|82|shipped
2116|ember|south|gasket|52|paid
1774|harbor|east|valve|67|paid
1973|gale|east|panel|40|held
1925|birch|south|valve|11|paid
2166|cobalt|west|panel|80|shipped
2228|dorian|north|gasket|42|held
1867|ember|west|rotor|55|shipped
1977|harbor|south|panel|68|pending
1951|gale|west|rotor|78|paid
2082|juno|east|pump|36|pending
2338|birch|south|valve|40|shipped
2010|ionic|north|cable|19|held
1804|fulton|east|frame|68|pending
2216|acme|south|sensor|98|held
1552|cobalt|west|frame|94|paid
1984|dorian|south|rotor|52|held
1922|acme|south|pump|77|shipped
1600|acme|west|sensor|25|pending
1654|dorian|east|cable|99|paid
2028|ember|north|pump|46|paid
1677|dorian|north|valve|25|shipped
1758|dorian|west|gasket|30|pending
1931|harbor|west|rotor|12|held
1700|acme|west|valve|39|shipped
2120|juno|west|pump|80|held
1526|cobalt|east|sensor|71|paid
1492|acme|east|sensor|29|shipped
1486|dorian|north|pump|59|shipped
2138|dorian|north|cable|91|held
1706|ionic|west|sensor|72|pending
1511|birch|east|frame|92|shipped
1957|ember|east|pump|72|shipped
1955|birch|north|gasket|91|paid
1440|ionic|north|valve|46|paid
2229|cobalt|south|frame|59|held
1968|dorian|south|gasket|73|held
2190|birch|north|pump|16|pending
1416|ionic|north|cable|38|shipped
1913|gale|north|panel|39|held
1798|ionic|north|sensor|75|pending
1935|dorian|west|frame|17|shipped
1447|ionic|east|valve|38|pending
1651|cobalt|north|valve|46|held
2286|cobalt|east|valve|49|held
2379|fulton|north|gasket|70|shipped
2280|cobalt|west|rotor|70|paid
2236|cobalt|west|gasket|36|held
1852|fulton|east|sensor|18|shipped
2167|birch|east|pump|63|paid
1842|harbor|north|pump|80|paid
1772|gale|east|sensor|63|paid
2099|gale|south|sensor|75|paid
2317|harbor|east|sensor|48|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, 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": 74}},
{"tool": "cancel_order", "args": {"order_id": 1422}},
{"tool": "cancel_order", "args": {"order_id": 1432}},
{"tool": "cancel_order", "args": {"order_id": 1443}},
{"tool": "restock", "args": {"item": "sensor", "qty": 80}},
{"tool": "cancel_order", "args": {"order_id": 1468}},
{"tool": "restock", "args": {"item": "sensor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 2041}}
]correctagentic.tools.deploy-v1conf 100% · 989ms · $0.000 · 110 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
- auth-svc: gateway
- reports: gateway, search
- gateway: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 934ms · $0.001 · 542 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $432
- echo: $455
- delta: $300
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $369 from "delta" to "oscar"
2. pay $494 from "delta" to "oscar"
3. pay $215 from "echo" to "oscar"
4. pay $310 from "oscar" to "echo"
5. pay $463 from "oscar" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 69}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 369}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 494}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 494}},
{"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 215}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 310}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 463}}
]correctagentic.tools.triage-v1conf 100% · 187ms · $0.000 · 266 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 → chen
- payments → tanaka
- auth → okafor
INCIDENTS:
1. "records missing after import" (category: data, priority 5)
2. "invoice total wrong" (category: payments, priority 6)
3. "cannot reset password" (category: auth, priority 8)
4. "cannot reset password" (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": "records missing after import", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}
]correctagentic.tools.context-load-v1anchorconf 100% · 1.0s · $0.001 · 501 tok
model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}}
]correctagentic.tools.deploy-v1anchorconf 100% · 1.2s · $0.000 · 389 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1anchorconf 95% · 2.0s · $0.000 · 269 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"}}
]correctagentic.tools.ledger-v1anchorconf 100% · 1.2s · $0.001 · 603 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 25/30 correct
correctcode.trace.nested-v1conf 100% · 271ms · $0.001 · 1473 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
348correctcode.trace.nested-v1conf 100% · 1.3s · $0.001 · 665 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
80wrongcode.trace.js-v1conf 100% · 1.3s · $0.000 · 13 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9]; 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:
162correctcode.trace.python-v1conf 100% · 1.4s · $0.000 · 346 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 1
while total + v <= 73:
if v % 6 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
52correctcode.trace.js-v1conf 100% · 593ms · $0.000 · 165 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 5) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
100correctcode.trace.nested-v1conf 100% · 653ms · $0.001 · 1234 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
469correctcode.trace.nested-v1conf 100% · 1.2s · $0.001 · 752 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
129correctcode.trace.python-v1conf 100% · 1.4s · $0.000 · 420 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 5
while total + v <= 103:
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:
74wrongcode.trace.js-v1conf 100% · 656ms · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7]; const out = arr .map(n => n * 3) .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:
60correctcode.trace.python-v1conf 100% · 962ms · $0.000 · 375 tok
question
What does this Python program print?
```python
total = 0
v = 15
while total + v <= 110:
if v % 6 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
95correctcode.trace.js-v1conf 100% · 998ms · $0.000 · 248 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 7) .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:
210wrongcode.trace.nested-v1conf 95% · 1.8s · $0.000 · 13 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
496wrongcode.trace.python-v1conf 95% · 1.7s · $0.000 · 13 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 7
while total + v <= 75:
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:
69wrongcode.trace.js-v1conf 100% · 731ms · $0.000 · 12 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 3) .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:
90correctcode.trace.python-v1conf 100% · 887ms · $0.000 · 316 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 4
while total + v <= 31:
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:
30correctcode.trace.js-v1conf 100% · 166ms · $0.000 · 184 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 4) .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:
176correctcode.trace.nested-v1conf 100% · 204ms · $0.001 · 1237 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
287correctcode.trace.js-v1conf 100% · 10.0s · $0.000 · 224 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]; const out = arr .map(n => n * 3) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
375correctcode.trace.python-v1conf 100% · 934ms · $0.001 · 508 tok
question
What does this Python program print?
```python
total = 0
v = 1
while total + v <= 94:
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:
67correctcode.trace.nested-v1conf 100% · 1.2s · $0.001 · 756 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
71correctcode.trace.python-v1conf 100% · 1.1s · $0.001 · 518 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 117:
if v % 4 != 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:
96correctcode.trace.js-v1conf 100% · 194ms · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
36correctcode.trace.nested-v1conf 100% · 1.4s · $0.001 · 827 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
303correctcode.trace.python-v1conf 100% · 1.4s · $0.000 · 356 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 15
while total + v <= 93:
if v % 3 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
73correctcode.trace.js-v1conf 100% · 642ms · $0.000 · 205 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
195correctcode.trace.nested-v1conf 100% · 1.1s · $0.001 · 847 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
203correctcode.trace.python-v1anchorconf 100% · 1.2s · $0.001 · 769 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 1.1s · $0.001 · 883 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 201ms · $0.000 · 83 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 1.8s · $0.000 · 317 tok
model answer:
40instruction following 19/30 correct
wrongif.constraints.stack-v1conf 100% · 148ms · $0.000 · 49 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "drift" and the last word must be "nova". 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:
drift, an ember on vast blue, holds one last ember before its cosmic novacorrectif.format.acronym-v1conf 100% · 1.6s · $0.000 · 63 tok
question
Take the first letter of each of these words, in order: zephyr, echo, drift, nova, delta, 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:
ZEDNDFwrongif.constraints.stack-v1conf 100% · 1.5s · $0.000 · 60 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "tundra" and the last word must be "ember". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra wakes beneath a zephyr, a brittle zephyr whispering through silent pines. one last embercorrectif.format.repeat-v1conf 100% · 1.4s · $0.000 · 40 tok
question
Write the word "nova" in capitalized form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NOVA_NOVA_NOVA_NOVA_NOVA_NOVA_NOVAcorrectif.format.acronym-v1conf 100% · 177ms · $0.000 · 86 tok
question
Take the first letter of each of these words, in order: delta, orbit, drift, ember, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DODEFcorrectif.format.repeat-v1conf 100% · 474ms · $0.000 · 38 tok
question
Write the word "lumen" in lowercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen/lumen/lumen/lumen/lumen/lumen/lumenwrongif.constraints.stack-v1conf 100% · 618ms · $0.000 · 47 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "delta" and the last word must be "falcon". 3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta witnessed a stellar nova, another nova, before the old machine, a metal falcon.correctif.format.acronym-v1conf 100% · 599ms · $0.000 · 64 tok
question
Take the first letter of each of these words, in order: flint, delta, echo, basalt, 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:
FDEBEZcorrectif.format.repeat-v1conf 100% · 1.6s · $0.000 · 58 tok
question
Write the word "prism" 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:
PRISM-PRISM-PRISM-PRISM-PRISM-PRISM-PRISM-PRISMwrongif.constraints.stack-v1conf 95% · 1.5s · $0.000 · 50 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "delta" and the last word must be "cedar". 3. Use the word "prism" 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:
delta, a vast prism, holds light. the prism scatters blue. waves meet a cedar.correctif.format.acronym-v1conf 100% · 947ms · $0.000 · 52 tok
question
Take the first letter of each of these words, in order: cedar, basalt, echo, 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:
CBEQcorrectif.format.repeat-v1conf 100% · 1.9s · $0.000 · 47 tok
question
Write the word "ember" 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:
EMBER/EMBER/EMBER/EMBER/EMBER/EMBER/EMBER/EMBER/EMBERcorrectif.format.acronym-v1conf 100% · 1.6s · $0.000 · 71 tok
question
Take the second letter of each of these words, in order: lumen, orbit, drift, 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:
URRUcorrectif.format.repeat-v1conf 100% · 156ms · $0.000 · 52 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYRwrongif.constraints.stack-v1conf 100% · 733ms · $0.000 · 53 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 "comet" and the last word must be "prism". 3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet raced across the tundra, a long journey through endless tundra, ending in a shattered prism.wrongif.constraints.stack-v1conf 95% · 1.5s · $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 "prism" and the last word must be "zephyr". 3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism measured each lumen, a fading lumen, until its final whisper became a zephyr.correctif.format.acronym-v1conf 100% · 1.5s · $0.000 · 76 tok
question
Take the third letter of each of these words, in order: prism, quartz, lumen, 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:
IAMLcorrectif.format.repeat-v1conf 100% · 1.8s · $0.000 · 33 tok
question
Write the word "delta" 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:
DELTA/DELTA/DELTA/DELTAcorrectif.format.repeat-v1conf 100% · 2.0s · $0.000 · 44 tok
question
Write the word "tundra" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra-tundra-tundra-tundra-tundra-tundra-tundra-tundrawrongif.constraints.stack-v1conf 100% · 735ms · $0.000 · 51 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "quartz" and the last word must be "prism". 3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz tundra glows, a vast tundra under frosty dawn's light, a prismcorrectif.format.acronym-v1conf 100% · 174ms · $0.000 · 95 tok
question
Take the third letter of each of these words, in order: cedar, drift, delta, quartz, 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:
DILALwrongif.format.acronym-v1conf 100% · 505ms · $0.000 · 86 tok
question
Take the third letter of each of these words, in order: zephyr, prism, falcon, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PILCwrongif.constraints.stack-v1conf 95% · 1.2s · $0.000 · 54 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "tundra" and the last word must be "prism". 3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra, a vast sea of ice, reflects the comet. a brilliant comet arcs, a shattered prism.correctif.format.acronym-v1conf 100% · 1.2s · $0.000 · 132 tok
question
Take the second letter of each of these words, in order: echo, ember, orbit, 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:
CMRUcorrectif.format.repeat-v1conf 100% · 1.1s · $0.000 · 47 tok
question
Write the word "nova" in capitalized form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NOVA/NOVA/NOVA/NOVA/NOVA/NOVA/NOVA/NOVA/NOVAwrongif.constraints.stack-v1conf 100% · 1.1s · $0.000 · 61 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 "quartz" and the last word must be "echo". 3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz, a prism of gears, hums; light through a prism reveals a prism of dust, a ghostly echo.correctif.format.repeat-v1anchorconf 100% · 221ms · $0.000 · 42 tok
model answer:
echo_echo_echo_echo_echo_echo_echo_echowrongif.constraints.stack-v1anchorconf 100% · 1.8s · $0.000 · 51 tok
model answer:
drift through each fading lumen, a soft lumen glow. distant lumen hums pull my tired orbitcorrectif.format.repeat-v1anchorconf 100% · 1.2s · $0.000 · 59 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 1.5s · $0.000 · 18 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 188ms · $0.000 · 14 tok
question
Name the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 266ms · $0.000 · 15 tok
question
Identify the Burmese capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 14 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 13 tok
question
What is 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% · 182ms · $0.000 · 12 tok
question
Identify 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% · 760ms · $0.000 · 16 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% · 1.3s · $0.000 · 12 tok
question
Identify the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 467ms · $0.000 · 17 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% · 204ms · $0.000 · 15 tok
question
Identify 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% · 169ms · $0.000 · 23 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% · 179ms · $0.000 · 15 tok
question
Identify the Burmese capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 162ms · $0.000 · 15 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% · 162ms · $0.000 · 16 tok
question
Identify the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 211ms · $0.000 · 16 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 182ms · $0.000 · 21 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% · 980ms · $0.000 · 16 tok
question
Name 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% · 2.2s · $0.000 · 12 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% · 156ms · $0.000 · 12 tok
question
What is the element whose symbol is Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 15 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 928ms · $0.000 · 11 tok
question
What is 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% · 1.2s · $0.000 · 15 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 271ms · $0.000 · 12 tok
question
Identify the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 15 tok
question
What is the capital of Myanmar? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2anchorconf 100% · 10.0s · $0.000 · 13 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 10.1s · $0.000 · 14 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 831ms · $0.000 · 11 tok
question
Identify the capital of Switzerland. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 173ms · $0.000 · 15 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 2.5s · $0.000 · 13 tok
question
Identify the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 197ms · $0.000 · 12 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 215ms · $0.000 · 13 tok
model answer:
antimonymath 29/30 correct
correctmath.counterfactual.base-v1conf 100% · 658ms · $0.000 · 402 tok
question
Work strictly in base 13. Add the base-13 numbers 6AA and 764. 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:
1141correctmath.chained.pipeline-v1conf 100% · 703ms · $0.000 · 198 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 62 × 61. Step 2: Q = P × 4 − 146. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4994correctmath.percent.chain-v2conf 100% · 1.3s · $0.000 · 348 tok
question
An inventory starts at 80000 units. Each pallet weighs about 60 grams more when wet. In the first month the inventory grows by 29%. Each pallet weighs about 9 grams more when wet. The next month it shrinks by 36%, and the month after it grows by 21%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
79918.08correctmath.counterfactual.base-v1conf 100% · 210ms · $0.000 · 348 tok
question
Work strictly in base 11. Add the base-11 numbers 258 and 207. Give the result IN BASE 11 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
464correctmath.algebra.system-v2conf 100% · 1.7s · $0.000 · 274 tok
question
Solve the system, then answer the derived question. 3x + 6y = -282 5x − 2y = -14 What is the value of 4x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
118correctmath.chained.pipeline-v1conf 100% · 1.3s · $0.000 · 229 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 38 × 82. Step 2: Q = P × 5 − 583. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3001correctmath.arith.chain-v2conf 100% · 1.5s · $0.000 · 192 tok
question
Calculate the following. Show your reasoning, then answer. (((57 × 57 − 846) × 6 + 5306) − 78 × 87) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
25876correctmath.algebra.system-v2conf 100% · 1.2s · $0.000 · 244 tok
question
Solve the system, then answer the derived question. 7x + 5y = -20 7x − 9y = -552 What is the value of 5x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-340correctmath.percent.chain-v2conf 95% · 1.1s · $0.000 · 301 tok
question
An inventory starts at 2000 units. Each pallet weighs about 169 grams more when wet. In the first month the inventory grows by 24%. Each pallet weighs about 46 grams more when wet. The next month it shrinks by 33%, and the month after it grows by 6%. 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:
1761.30correctmath.arith.chain-v2conf 100% · 1.3s · $0.000 · 353 tok
question
Work out the exact value of this expression. (((34 × 49 − 168) × 9 + 5989) − 29 × 91) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
33664correctmath.counterfactual.base-v1conf 100% · 1.4s · $0.002 · 2035 tok
question
Work strictly in base 9. Multiply the base-9 numbers 88 and 15. 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:
1474correctmath.chained.pipeline-v1conf 100% · 409ms · $0.000 · 246 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 61 × 65. Step 2: Q = P × 8 − 296. 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:
4490wrongmath.counterfactual.base-v1conf 100% · 10.0s · $0.000 · 213 tok
question
Work strictly in base 8. Add the base-8 numbers 5323 and 2353. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
7766correctmath.arith.chain-v2conf 100% · 237ms · $0.000 · 276 tok
question
Compute the value of the following expression. (((29 × 57 − 689) × 9 + 1484) − 87 × 14) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
17884correctmath.percent.chain-v2conf 100% · 207ms · $0.000 · 213 tok
question
An inventory starts at 48000 units. The delivery van has a 25-liter fuel tank. In the first month the inventory grows by 25%. The warehouse was painted 141 years ago. The next month it shrinks by 6%, and the month after it grows by 28%. 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:
72192correctmath.algebra.system-v2conf 100% · 797ms · $0.000 · 249 tok
question
Solve the system, then answer the derived question. 4x + 7y = 63 7x − 2y = -189 What is the value of 6x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-231correctmath.chained.pipeline-v1conf 100% · 1.3s · $0.000 · 180 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 50 × 74. Step 2: Q = P × 4 − 420. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4794correctmath.arith.chain-v2conf 100% · 1.1s · $0.000 · 284 tok
question
Work out the exact value of this expression. (((41 × 34 − 674) × 8 + 4329) − 55 × 85) × 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:
21656correctmath.percent.chain-v2conf 100% · 781ms · $0.000 · 257 tok
question
An inventory starts at 58000 units. A rival firm shipped 78 unrelated parcels the same week. In the first month the inventory grows by 8%. The company was founded 139 kilometers from the port. The next month it shrinks by 20%, and the month after it grows by 7%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
53619.84correctmath.algebra.system-v2conf 100% · 764ms · $0.000 · 237 tok
question
Solve the system, then answer the derived question. 7x + 5y = 327 6x − 2y = 98 What is the value of 2x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-122correctmath.counterfactual.base-v1conf 100% · 262ms · $0.000 · 467 tok
question
Work strictly in base 11. Multiply the base-11 numbers 27 and 11. Give the result IN BASE 11 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
297correctmath.chained.pipeline-v1conf 100% · 721ms · $0.000 · 224 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 62 × 78. Step 2: Q = P × 5 − 204. 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:
5994correctmath.arith.chain-v2conf 100% · 148ms · $0.000 · 248 tok
question
Calculate the following. Show your reasoning, then answer. (((65 × 67 − 786) × 7 + 3980) − 15 × 85) × 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:
110752correctmath.percent.chain-v2conf 100% · 842ms · $0.000 · 292 tok
question
An inventory starts at 67000 units. Each pallet weighs about 48 grams more when wet. In the first month the inventory grows by 22%. Each pallet weighs about 166 grams more when wet. The next month it shrinks by 14%, and the month after it grows by 28%. 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:
89979.39correctmath.algebra.system-v2conf 100% · 1.5s · $0.000 · 219 tok
question
Solve the system, then answer the derived question. 6x + 5y = -207 2x − 8y = 250 What is the value of 6x − 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:
57correctmath.percent.chain-v2anchorconf 100% · 173ms · $0.000 · 255 tok
model answer:
61896.52correctmath.chained.pipeline-v1conf 100% · 229ms · $0.000 · 196 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 55 × 17. Step 2: Q = P × 4 − 891. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
573correctmath.counterfactual.base-v1anchorconf 100% · 982ms · $0.000 · 495 tok
model answer:
11236correctmath.arith.chain-v2anchorconf 100% · 268ms · $0.000 · 235 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 232ms · $0.000 · 216 tok
model answer:
87multilingual 25/30 correct
correctmultilingual.wordnum-v1conf 100% · 2.1s · $0.000 · 110 tok
question
A number is written in French: « six cent soixante-dix-neuf ». Another is written in Spanish: « novecientos cuarenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-270correctmultilingual.wordnum-v1conf 100% · 145ms · $0.000 · 174 tok
question
A number is written in French: « cinq cent six ». Another is written in Spanish: « trescientos cuarenta 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:
849correctmultilingual.numword-v2conf 100% · 1.2s · $0.000 · 26 tok
question
Compute 124 + 425, 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 cuarenta y nuevecorrectmultilingual.wordnum-v1conf 100% · 3.2s · $0.000 · 129 tok
question
A number is written in French: « trois cent trente-huit ». Another is written in Spanish: « seiscientos diez ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-272correctmultilingual.numword-v2conf 100% · 803ms · $0.000 · 16 tok
question
Compute 96 + 441, 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-septcorrectmultilingual.wordnum-v1conf 100% · 2.2s · $0.000 · 101 tok
question
A number is written in French: « trois cent soixante-quatre ». Another is written in Spanish: « quinientos noventa y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
963wrongmultilingual.numword-v2conf 100% · 1.2s · $0.000 · 19 tok
question
Compute 85 + 120, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
novecientos cincocorrectmultilingual.wordnum-v1conf 100% · 1.6s · $0.000 · 139 tok
question
A number is written in French: « neuf cent quatre-vingt-neuf ». Another is written in Spanish: « ciento 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:
829correctmultilingual.numword-v2conf 100% · 1.6s · $0.000 · 15 tok
question
Compute 355 + 353, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
sept cent huitcorrectmultilingual.numword-v2conf 100% · 1.4s · $0.000 · 35 tok
question
Compute 368 + 433, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos unocorrectmultilingual.wordnum-v1conf 100% · 812ms · $0.000 · 149 tok
question
A number is written in French: « huit cent quatre-vingt-six ». Another is written in Spanish: « ciento sesenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1050wrongmultilingual.numword-v2conf 100% · 1.2s · $0.000 · 22 tok
question
Compute 109 + 240, 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:
cent quarante-neufcorrectmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 133 tok
question
A number is written in French: « deux cent vingt-six ». Another is written in Spanish: « trescientos setenta 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:
597correctmultilingual.wordnum-v1conf 100% · 894ms · $0.000 · 168 tok
question
A number is written in French: « quatre cent quatre-vingt-treize ». Another is written in Spanish: « quinientos ochenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1074correctmultilingual.numword-v2conf 100% · 1.9s · $0.000 · 19 tok
question
Compute 182 + 225, 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 sietecorrectmultilingual.numword-v2conf 100% · 1.4s · $0.000 · 18 tok
question
Compute 259 + 331, 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 noventacorrectmultilingual.wordnum-v1conf 100% · 206ms · $0.000 · 85 tok
question
A number is written in French: « neuf cent sept ». Another is written in Spanish: « trescientos cincuenta y siete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1264correctmultilingual.wordnum-v1conf 100% · 1.5s · $0.000 · 99 tok
question
A number is written in French: « trois cent huit ». Another is written in Spanish: « noventa 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:
210wrongmultilingual.numword-v2conf 100% · 722ms · $0.000 · 25 tok
question
Compute 430 + 236, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent soixante-sixcorrectmultilingual.wordnum-v1conf 100% · 147ms · $0.000 · 138 tok
question
A number is written in French: « neuf cent soixante-quatre ». Another is written in Spanish: « setecientos ochenta ». 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:
184correctmultilingual.numword-v2conf 100% · 2.0s · $0.000 · 34 tok
question
Compute 86 + 72, 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:
ciento cincuenta y ochocorrectmultilingual.wordnum-v1conf 100% · 1.3s · $0.000 · 96 tok
question
A number is written in French: « trois cent soixante-sept ». Another is written in Spanish: « ochocientos sesenta y tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-496correctmultilingual.numword-v2conf 100% · 750ms · $0.000 · 25 tok
question
Compute 154 + 129, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos ochenta y treswrongmultilingual.numword-v2conf 100% · 170ms · $0.000 · 27 tok
question
Compute 466 + 387, 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 cincuenta y trescorrectmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 153 tok
question
A number is written in French: « huit cent quatre-vingt-dix-huit ». Another is written in Spanish: « novecientos treinta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1834correctmultilingual.wordnum-v1anchorconf 100% · 937ms · $0.000 · 147 tok
model answer:
150correctmultilingual.numword-v2anchorconf 95% · 1.1s · $0.000 · 120 tok
model answer:
huit cent soixante-dix-neufwrongmultilingual.numword-v2conf 100% · 895ms · $0.000 · 26 tok
question
Compute 417 + 164, 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 ochenta y unocorrectmultilingual.wordnum-v1anchorconf 100% · 1.3s · $0.000 · 168 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 1.5s · $0.000 · 19 tok
model answer:
seiscientos ochoreasoning 28/30 correct
wrongreasoning.deduction.position-v1conf 30% · 935ms · $0.002 · 2203 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Kira. Kira is directly ahead of Ines. Ines 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 3.3s · $0.000 · 126 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Ines. Ola is directly ahead of Dara. 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.order-v2conf 100% · 1.4s · $0.000 · 317 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Liam. Hana is taller than Quinn. Liam is taller than Hana. Priya is taller than Chen. Chen is taller than Hana. Dara is faster than everyone here, but Dara is not being ranked. Hana is taller than Ines. Liam is taller than Priya. Ines is taller than Quinn. Hana is taller than Quinn. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.position-v1conf 95% · 1.7s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 2 in the queue. Chen is directly ahead of Quinn. Sami is directly ahead of Ines. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.order-v2conf 100% · 1.0s · $0.000 · 467 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Priya is older than Farah. Farah is older than Jonas. Ola is older than Jonas. Priya is older than Dara. Alice is faster than everyone here, but Alice is not being ranked. Jonas is older than Hana. Dara is older than Goran. Farah is older than Goran. Goran is older than Ola. Dara is older than Farah. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 95% · 1.1s · $0.000 · 447 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Hana. Alice is heavier than Tessa. Hana is heavier than Tessa. Emil is heavier than Alice. Bruno is heavier than Hana. Tessa is heavier than Chen. Farah is taller than everyone here, but Farah is not being ranked. Bruno is heavier than Emil. Chen is heavier than Rosa. Hana is heavier 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 1.4s · $0.000 · 108 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 4 in the queue. Alice is directly ahead of Emil. Mona is directly ahead of Alice. Liam is directly ahead of Mona. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 5.7s · $0.000 · 89 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Goran. Farah is directly ahead of Priya. Jonas is directly ahead of Farah. Goran is number 4 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.order-v2conf 95% · 1.9s · $0.000 · 266 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Goran. Ola is heavier than Sami. Ines is heavier than Tessa. Ola is heavier than Goran. Alice is heavier than Goran. Liam is taller than everyone here, but Liam is not being ranked. Tessa is heavier than Ola. Dara is heavier than Ines. Sami is heavier than Alice. Sami is heavier than Goran. 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:
Ineswrongreasoning.deduction.position-v1conf 100% · 1.0s · $0.000 · 78 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Farah. Rosa is number 3 in the queue. Farah is directly ahead of Rosa. 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:
Tessacorrectreasoning.deduction.order-v2conf 95% · 1.9s · $0.000 · 263 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Hana. Farah is faster than Hana. Sami is faster than Ola. Hana is faster than Sami. Farah is faster than Chen. Bruno is faster than Chen. Farah is faster than Emil. Chen is faster than Sami. Hana is faster than Bruno. Quinn is older than everyone here, but Quinn is not being ranked. 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:
Emilcorrectreasoning.deduction.order-v2conf 100% · 1.3s · $0.001 · 670 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Jonas is faster than Rosa. Nadir is faster than Emil. Priya is faster than Jonas. Farah is faster than Nadir. Rosa is faster than Ines. Nadir is faster than Priya. Emil is faster than Jonas. Liam is older than everyone here, but Liam is not being ranked. Emil is faster than Priya. Priya is faster than Rosa. 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:
Jonascorrectreasoning.deduction.order-v2conf 100% · 2.2s · $0.000 · 351 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Jonas. Sami is heavier than Priya. Priya is heavier than Kira. Kira is heavier than Jonas. Mona is heavier than Kira. Mona is heavier than Sami. Emil is taller than everyone here, but Emil is not being ranked. Ola is heavier than Dara. Sami is heavier than Jonas. Dara is heavier than Mona. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.order-v2conf 100% · 236ms · $0.001 · 883 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Ola. Farah is faster than everyone here, but Farah is not being ranked. Jonas is heavier than Hana. Bruno is heavier than Mona. Tessa is heavier than Jonas. Mona is heavier than Ola. Liam is heavier than Tessa. Tessa is heavier than Mona. Jonas is heavier than Bruno. Ola is heavier than Hana. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 100% · 602ms · $0.000 · 391 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Bruno. Sami is number 1 in the queue. Bruno is directly ahead of Chen. 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.position-v1conf 100% · 1.4s · $0.000 · 23 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Jonas. Sami is directly ahead of Mona. Jonas is number 3 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:
Jonascorrectreasoning.deduction.order-v2conf 100% · 1.9s · $0.000 · 277 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Kira. Sami is faster than Nadir. Ines is faster than Sami. Tessa is faster than Rosa. Dara is older than everyone here, but Dara is not being ranked. Sami is faster than Jonas. Kira is faster than Tessa. Kira is faster than Rosa. Rosa is faster than Nadir. Nadir is faster than Jonas. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1conf 100% · 198ms · $0.000 · 126 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Emil. Nadir is number 2 in the queue. Rosa is directly ahead of Nadir. 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 1.4s · $0.000 · 215 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Priya. Jonas is faster than Chen. Sami is faster than Bruno. Chen is faster than Priya. Bruno is faster than Mona. Bruno is faster than Priya. Jonas is faster than Priya. Goran is older than everyone here, but Goran is not being ranked. Mona is faster than Jonas. Liam is faster than Sami. 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:
Samicorrectreasoning.deduction.position-v1conf 100% · 1.0s · $0.000 · 200 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 2 in the queue. Ines is directly ahead of Goran. Kira is directly ahead of Bruno. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 95% · 1.1s · $0.001 · 485 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Jonas is faster than Nadir. Nadir is faster than Mona. Farah is faster than Jonas. Rosa is faster than Mona. Goran is older than everyone here, but Goran is not being ranked. Nadir is faster than Mona. Emil is faster than Nadir. Jonas is faster than Priya. Priya is faster than Emil. Nadir is faster than Rosa. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 110 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Dara. Dara is directly ahead of Farah. Farah is number 4 in the queue. Emil is directly ahead of Alice. 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:
Farahcorrectreasoning.deduction.position-v1conf 100% · 3.0s · $0.000 · 61 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 1 in the queue. Ola is directly ahead of Liam. Liam is directly ahead of Kira. 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 1.0s · $0.000 · 269 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Hana. Liam is taller than Ola. Farah is taller than Hana. Chen is taller than Farah. Bruno is taller than Sami. Bruno is taller than Hana. Sami is taller than Chen. Quinn is heavier than everyone here, but Quinn is not being ranked. Ola is taller than Bruno. Ola is taller than Sami. 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:
Brunocorrectreasoning.deduction.position-v1conf 100% · 1.8s · $0.000 · 71 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 4 in the queue. Hana is directly ahead of Dara. Tessa is directly ahead of Nadir. Nadir is directly ahead of Hana. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.order-v2conf 100% · 1.4s · $0.000 · 396 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Ines. Rosa is older than Chen. Rosa is older than Sami. Rosa is older than Goran. Ola is heavier than everyone here, but Ola is not being ranked. Goran is older than Sami. Hana is older than Priya. Priya is older than Rosa. Sami is older than Chen. Ines is older than Priya. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1anchorconf 100% · 1.0s · $0.000 · 243 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 870ms · $0.000 · 391 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 1.4s · $0.001 · 553 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 2.0s · $0.000 · 123 tok
model answer:
Farahterminal 30/30 correct
correctterminal.fs.tree-v1conf 100% · 1.2s · $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/assets`, `/proj/conf`, `/proj/src`): ``` /proj/assets/notes.cfg /proj/assets/report.txt /proj/assets/setup.txt /proj/draft.txt /proj/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv assets/setup.txt src/ touch conf/notes-7.cfg touch src/report-5.md cd . rm assets/notes.cfg cd src mkdir -p ../../proj/assets/logs-7 cd ../../proj/conf mv ../../proj/assets/report.txt ../../proj/assets/util-7.cfg mkdir -p src-6 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/util-7.cfg
/proj/conf/notes-7.cfg
/proj/draft.txt
/proj/src/report-5.md
/proj/src/setup.txt
/proj/util.cfgcorrectterminal.exit.chain-v1conf 100% · 237ms · $0.000 · 356 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f app.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
Z
exit:0correctterminal.exit.chain-v1conf 100% · 1.6s · $0.001 · 464 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f tmp.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% · 1.4s · $0.000 · 232 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
kim,eng,109,20
eli,hr,65,76
oli,ops,24,91
dev,sales,42,44
ivy,sales,40,24
fay,legal,33,45
bo,ops,12,27
lou,ops,21,85
ana,sales,48,66
ned,sales,52,39
max,ops,105,61
cy,eng,25,32
gus,eng,109,98
hal,sales,13,44
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 77 { 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:
0correctterminal.fs.tree-v1conf 100% · 1.5s · $0.001 · 523 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`): ``` /proj/assets/notes.log /proj/build/main.txt /proj/docs/util.txt /proj/draft.txt /proj/report.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm build/main.txt cp report.md build/ touch todo-2.cfg touch build/main-2.log rm todo-2.cfg mv docs/util.txt docs/ cd docs rm 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/assets/notes.log
/proj/build/main-2.log
/proj/build/report.md
/proj/draft.txt
/proj/report.mdcorrectterminal.fs.tree-v1conf 100% · 1.2s · $0.001 · 573 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.txt /proj/conf/draft.md /proj/conf/util.log /proj/report.txt /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 conf/draft.md build/ cp conf/draft.md ./ cp todo.cfg build/ cd src cp ../../proj/conf/util.log ../../proj/build/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/draft.md
/proj/build/index.txt
/proj/build/todo.cfg
/proj/build/util.log
/proj/conf/draft.md
/proj/conf/util.log
/proj/draft.md
/proj/report.txt
/proj/todo.cfgcorrectterminal.pipeline.predict-v1conf 100% · 166ms · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` fay,sales,28,60 eli,sales,33,62 gus,eng,70,42 jon,ops,72,44 ana,eng,54,74 dev,sales,35,46 ivy,legal,75,86 max,eng,19,43 pam,hr,54,72 lou,sales,18,31 oli,eng,54,18 hal,eng,97,60 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
jon,ops,72,44correctterminal.exit.chain-v1conf 100% · 1.4s · $0.000 · 436 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q coral 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:
A
C
F
exit:1correctterminal.pipeline.predict-v1conf 100% · 187ms · $0.000 · 218 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,ops,66,84
kim,eng,27,81
dev,legal,7,32
jon,ops,30,68
oli,ops,114,30
max,ops,97,72
ned,legal,20,34
fay,eng,68,46
ana,legal,100,25
bo,sales,19,60
ivy,sales,15,81
hal,hr,23,42
gus,eng,25,37
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 43 { 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:
0correctterminal.fs.tree-v1conf 100% · 212ms · $0.001 · 1270 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/assets`): ``` /proj/assets/todo.cfg /proj/assets/util.log /proj/conf/notes.log /proj/main.cfg /proj/report.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv assets/util.log assets/util-3.cfg mkdir -p conf/build-6 cd conf/build-6 cp ../../../proj/conf/notes.log ./ mkdir -p src-2 cd . mv notes.log draft-7.log rm ../../../proj/main.cfg cd ../../../proj/conf mkdir -p build-6/conf-3 mv ../../proj/report.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/todo.cfg
/proj/assets/util-3.cfg
/proj/conf/build-6/draft-7.log
/proj/conf/notes.log
/proj/conf/report.mdcorrectterminal.fs.tree-v1conf 100% · 1.5s · $0.001 · 624 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/assets`): ``` /proj/build/draft.log /proj/notes.txt /proj/src/report.txt /proj/src/util.cfg /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch build/main-7.md cd . touch build/notes-9.log cp notes.txt build/ touch src/notes-2.txt cd . mkdir -p build/docs-8 rm notes.txt cd build mkdir -p ../../proj/assets/src-3 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/draft.log
/proj/build/main-7.md
/proj/build/notes-9.log
/proj/build/notes.txt
/proj/src/notes-2.txt
/proj/src/report.txt
/proj/src/util.cfg
/proj/todo.mdcorrectterminal.exit.chain-v1conf 100% · 944ms · $0.000 · 365 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 true && echo A || echo B true && echo C || echo D grep -q dune 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:
A
C
E
exit:1correctterminal.pipeline.predict-v1conf 100% · 168ms · $0.000 · 27 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,hr,74,97 bo,ops,94,36 lou,sales,106,94 kim,ops,110,61 ned,sales,104,39 oli,legal,54,93 fay,hr,32,51 ana,hr,63,22 ivy,legal,117,22 dev,eng,81,77 pam,eng,114,31 hal,hr,11,24 eli,legal,105,34 gus,eng,13,16 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
eli,legal,105,34
ivy,legal,117,22correctterminal.exit.chain-v1conf 100% · 2.1s · $0.000 · 360 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B true && echo C || echo D test -f tmp.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:1correctterminal.fs.tree-v1conf 100% · 752ms · $0.001 · 868 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/docs`, `/proj/build`): ``` /proj/conf/notes.log /proj/conf/setup.cfg /proj/conf/todo.txt /proj/draft.txt /proj/main.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch build/util-1.txt cd conf cp ../../proj/build/util-1.txt ../../proj/docs/ rm setup.cfg mkdir -p ../../proj/docs/docs-5 cp notes.log ../../proj/ mkdir -p ../../proj/build/src-3 touch ../../proj/notes-8.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/build/util-1.txt
/proj/conf/notes.log
/proj/conf/todo.txt
/proj/docs/util-1.txt
/proj/draft.txt
/proj/main.log
/proj/notes-8.cfg
/proj/notes.logcorrectterminal.pipeline.predict-v1conf 100% · 1.2s · $0.000 · 235 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
dev,eng,101,91
bo,sales,11,72
ivy,hr,43,91
eli,ops,107,25
ned,eng,45,85
ana,legal,85,97
oli,hr,51,66
cy,sales,116,37
pam,ops,49,83
jon,ops,44,37
kim,sales,20,49
hal,sales,103,46
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
85correctterminal.fs.tree-v1conf 100% · 1.4s · $0.001 · 939 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/src`): ``` /proj/docs/notes.cfg /proj/index.log /proj/report.cfg /proj/src/todo.log /proj/src/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv index.log docs/ mv src/todo.log src/todo-6.txt touch docs/main-3.txt rm docs/notes.cfg cd conf touch draft-7.md mv ../../proj/src/todo-6.txt ../../proj/src/main-9.txt cd ../../proj mkdir -p src/assets-8 cd docs mkdir -p ../../proj/src/assets-8/docs-6 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft-7.md
/proj/docs/index.log
/proj/docs/main-3.txt
/proj/report.cfg
/proj/src/main-9.txt
/proj/src/util.logcorrectterminal.exit.chain-v1conf 100% · 1.4s · $0.000 · 22 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F false && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
exit:1correctterminal.fs.tree-v1conf 100% · 176ms · $0.001 · 929 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/build`): ``` /proj/build/index.cfg /proj/build/setup.cfg /proj/draft.log /proj/logs/report.log /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p logs/logs-2 mkdir -p logs/logs-3 mkdir -p assets/conf-5 touch logs/logs-3/util-8.cfg cd . mv logs/report.log build/ cp logs/logs-3/util-8.cfg build/ cd assets/conf-5 mkdir -p ../../../proj/logs/logs-2/src-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/build/index.cfg
/proj/build/report.log
/proj/build/setup.cfg
/proj/build/util-8.cfg
/proj/draft.log
/proj/logs/logs-3/util-8.cfg
/proj/todo.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.1s · $0.000 · 326 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,legal,18,31 ana,eng,105,75 oli,legal,70,88 jon,hr,80,26 lou,eng,6,87 ned,eng,64,54 pam,ops,120,56 gus,hr,81,85 kim,eng,80,80 eli,legal,113,12 fay,hr,101,42 max,hr,92,92 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
pam,ops,120,56correctterminal.exit.chain-v1conf 100% · 1.3s · $0.000 · 301 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B true && echo C || echo D test -f data.txt && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
G
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 1.7s · $0.000 · 358 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,ops,96,93 ivy,legal,86,85 kim,sales,50,79 dev,ops,68,75 gus,sales,64,65 ned,eng,54,90 oli,hr,19,93 hal,eng,30,46 ana,ops,110,86 jon,legal,80,28 eli,hr,27,83 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
hal,eng,30,46
ned,eng,54,90correctterminal.pipeline.predict-v1conf 100% · 1.3s · $0.000 · 326 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,hr,36,37 eli,hr,101,65 lou,eng,29,99 oli,sales,19,84 jon,ops,114,56 hal,ops,57,49 gus,hr,38,67 max,hr,97,99 pam,legal,64,79 ivy,legal,47,70 ana,sales,104,69 fay,sales,74,31 cy,eng,108,58 bo,sales,65,32 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
gus,hr,38,67
max,hr,97,99
eli,hr,101,65correctterminal.exit.chain-v1conf 100% · 931ms · $0.000 · 453 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
Z
exit:0correctterminal.fs.tree-v1conf 100% · 176ms · $0.001 · 759 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/assets`, `/proj/docs`): ``` /proj/conf/draft.txt /proj/docs/report.txt /proj/docs/todo.txt /proj/setup.md /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv conf/draft.txt conf/notes-9.cfg rm docs/report.txt mkdir -p docs/src-6 cp util.log docs/ cd . rm setup.md cd assets rm ../../proj/util.log cp ../../proj/conf/notes-9.cfg ../../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/conf/notes-9.cfg
/proj/docs/notes-9.cfg
/proj/docs/todo.txt
/proj/docs/util.logcorrectterminal.fs.tree-v1anchorconf 100% · 979ms · $0.001 · 675 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.exit.chain-v1conf 100% · 990ms · $0.001 · 485 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f tmp.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 205ms · $0.000 · 350 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 1.6s · $0.000 · 338 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 427ms · $0.000 · 132 tok
model answer:
1Run history
- 2026-08-05v0.2.0index_fit666
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- 2026-08-05v0.2.0index_fit653
- 2026-08-05v0.2.0index_fit653
- 2026-08-05v0.2.0index_fit653
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- 2026-08-05v0.2.0index_fit654
- 2026-08-05v0.2.0index_fit654
- 2026-08-05v0.2.0index_fit648
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- 2026-08-05v0.2.0index_fit653