AionLabs: Aion-RP 1.0 (8B)

aion-labs/aion-rp-llama-3.1-8b · aion-labs · context 32 768 · in $0.800/1M · out $1.60/1M

Global Index

283

95% CI [272–295] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	285 [252–318]	0.053	0.69	0.00	0.000	880ms	$1.07
code	259 [232–286]	0.045	0.50	0.07	0.000	875ms	$1.26
knowledge	382 [324–441]	0.231	0.99	0.96	0.314	859ms	$0.090
math	240 [228–252]	0.019	0.50	0.03	0.000	744ms	$0.361
multilingual	235 [217–252]	0.041	0.57	0.32	0.077	846ms	$0.415
reasoning	278 [257–299]	0.053	0.79	0.22	0.058	783ms	$0.184
terminal	304 [281–327]	0.047	0.77	0.10	0.000	871ms	$0.251

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 0/60 correct

wrongagentic.tools.ledger-v1conf 100% · 819ms · $0.001 · 234 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $177
- delta: $559
- oscar: $221

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $544 from "delta" to "echo"
2. pay $481 from "delta" to "oscar"
3. pay $435 from "oscar" to "delta"
4. pay $145 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": 544}},
  {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 544}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 481}},
  {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 481}},
  {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 435}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 435}},
  {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 145}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 145}}
]

wrongagentic.tools.triage-v1conf 100% · 805ms · $0.001 · 199 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- auth → dubois
- data → chen
- infra → novak

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "SSO loop on login" (category: auth, priority 2)
3. "uploads failing intermittently" (category: infra, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
	{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}},
	{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
	{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}},
	{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
	{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}},
	{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 3}},
	{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.4s · $0.004 · 212 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 (270 records, format: id|customer|region|item|qty|status):
```
2406|harbor|east|gasket|37|shipped
2116|harbor|east|sensor|74|shipped
1667|birch|east|frame|77|pending
1702|birch|west|gasket|44|shipped
2463|juno|west|pump|74|held
1533|ionic|east|valve|77|paid
1971|birch|south|rotor|57|paid
1400|harbor|south|rotor|90|pending
2508|dorian|west|pump|70|held
1467|fulton|south|sensor|50|paid
2025|birch|west|cable|91|held
1931|cobalt|east|frame|30|paid
1401|harbor|west|valve|55|held
1967|juno|south|panel|26|shipped
1648|cobalt|east|rotor|54|paid
1725|dorian|north|frame|52|pending
1565|harbor|west|cable|40|shipped
2173|ember|east|valve|38|held
1762|ember|east|gasket|73|pending
2417|juno|east|cable|88|held
2354|fulton|west|frame|55|paid
1628|gale|south|frame|79|held
1606|acme|west|frame|72|held
2188|ember|north|valve|62|shipped
1425|acme|north|pump|30|shipped
1856|acme|south|sensor|16|pending
1704|juno|south|pump|78|pending
2435|ionic|west|frame|82|held
2217|juno|east|panel|64|held
1928|acme|east|pump|72|pending
1874|ember|west|gasket|12|paid
2420|harbor|east|panel|42|paid
1861|juno|north|rotor|90|shipped
2040|gale|west|cable|85|paid
1809|fulton|west|rotor|15|held
2195|ember|north|pump|98|paid
1819|dorian|south|pump|63|shipped
1956|harbor|east|cable|47|shipped
2374|juno|north|cable|19|held
1990|cobalt|north|frame|52|held
2410|ionic|south|sensor|38|paid
2259|juno|east|panel|95|held
2203|juno|east|frame|76|shipped
1474|harbor|west|rotor|81|shipped
1618|birch|west|pump|11|held
2086|cobalt|south|pump|24|paid
1744|harbor|south|pump|42|pending
2330|ember|east|pump|35|paid
1379|harbor|west|pump|12|pending
2235|birch|east|frame|54|held
2098|dorian|north|pump|11|paid
2495|harbor|south|cable|86|paid
1824|ionic|east|pump|19|pending
1937|ember|north|frame|71|pending
1537|ember|north|panel|63|shipped
2036|acme|west|rotor|70|pending
1439|dorian|south|rotor|50|held
2397|fulton|east|sensor|19|paid
2266|ember|east|pump|41|held
1418|birch|south|gasket|85|shipped
1440|fulton|north|rotor|11|shipped
1921|fulton|east|frame|43|paid
1852|harbor|east|rotor|42|shipped
2337|juno|north|sensor|39|held
1973|birch|east|sensor|42|pending
1703|ember|south|frame|93|shipped
1416|birch|west|gasket|93|held
1654|gale|east|gasket|67|held
1519|acme|north|gasket|48|shipped
2091|dorian|south|frame|75|held
2142|birch|north|gasket|15|held
1495|ionic|south|valve|62|paid
1866|ember|east|rotor|98|pending
2179|ember|south|frame|87|shipped
2138|harbor|north|panel|52|paid
2106|ionic|north|valve|90|shipped
2051|fulton|west|valve|71|held
2029|ember|west|sensor|59|held
1434|fulton|east|sensor|63|shipped
1689|dorian|south|valve|57|held
2063|juno|north|rotor|10|paid
2371|ionic|north|gasket|93|shipped
1914|dorian|west|frame|14|pending
1842|birch|north|frame|57|pending
1490|gale|south|frame|37|paid
2192|ionic|west|valve|88|held
2295|ionic|south|sensor|45|shipped
2104|birch|west|cable|99|shipped
2369|juno|south|rotor|43|pending
1678|ember|north|rotor|57|shipped
2469|juno|south|panel|49|pending
2044|harbor|north|pump|61|paid
1716|juno|east|panel|87|held
2202|harbor|east|sensor|56|pending
2404|harbor|west|cable|52|held
1899|harbor|east|sensor|87|shipped
2344|cobalt|south|valve|79|held
1779|harbor|west|pump|83|paid
1385|harbor|east|valve|36|pending
1755|ember|south|pump|13|shipped
2427|cobalt|west|cable|71|shipped
1719|ionic|north|gasket|29|shipped
1616|cobalt|west|frame|87|paid
1841|gale|north|valve|82|paid
2017|gale|north|panel|88|paid
2351|gale|east|rotor|80|paid
2149|birch|west|panel|11|shipped
2167|dorian|east|frame|39|pending
1979|gale|south|valve|48|paid
2308|ember|west|panel|23|held
2274|birch|west|rotor|48|shipped
2208|ember|west|valve|54|paid
1711|harbor|west|valve|22|paid
1758|birch|east|valve|16|shipped
1576|gale|west|gasket|11|shipped
1432|ember|north|pump|23|pending
1892|ember|east|gasket|46|paid
2409|dorian|west|frame|35|shipped
1942|cobalt|south|rotor|36|paid
1480|ionic|north|frame|12|paid
1735|juno|north|sensor|95|pending
2246|birch|west|cable|38|held
2009|ionic|east|pump|53|paid
2041|acme|south|rotor|10|held
2379|fulton|east|frame|80|pending
2364|birch|north|frame|30|pending
2367|ember|east|panel|13|held
2511|cobalt|north|sensor|15|paid
2384|cobalt|north|gasket|58|shipped
1661|dorian|east|gasket|37|held
1740|juno|east|pump|17|shipped
1430|juno|west|cable|50|paid
2160|harbor|north|gasket|63|shipped
2081|birch|south|cable|42|held
2019|gale|south|cable|62|held
2170|cobalt|south|frame|92|shipped
1807|dorian|east|cable|32|paid
1438|ionic|west|pump|35|shipped
1699|harbor|south|sensor|87|shipped
1997|juno|east|gasket|95|pending
2442|fulton|west|frame|46|pending
2227|ionic|east|sensor|37|shipped
1672|gale|west|cable|69|pending
1627|birch|north|valve|97|shipped
2252|birch|west|gasket|56|pending
2136|harbor|south|frame|10|pending
1559|cobalt|west|valve|38|held
1752|gale|north|sensor|62|pending
2258|dorian|north|gasket|88|pending
2280|dorian|south|valve|86|held
1540|gale|north|cable|44|pending
1835|cobalt|south|rotor|80|held
1556|harbor|south|frame|25|paid
2069|ionic|east|panel|50|paid
2232|dorian|west|valve|45|pending
1787|ionic|north|valve|34|paid
1580|ionic|north|frame|74|paid
1410|harbor|west|gasket|54|held
2078|acme|west|rotor|61|held
1813|gale|east|rotor|98|shipped
1621|acme|east|cable|49|pending
2249|acme|west|frame|71|shipped
1869|acme|west|pump|98|pending
1596|cobalt|north|valve|79|held
2452|harbor|west|gasket|35|shipped
2289|juno|east|panel|16|pending
2391|birch|west|gasket|65|paid
1773|gale|east|valve|11|shipped
2211|ionic|west|pump|95|paid
2415|ember|west|sensor|22|paid
2002|ember|west|rotor|60|pending
2012|birch|east|pump|78|held
1653|ember|south|panel|98|shipped
1500|dorian|north|pump|62|held
1947|gale|north|rotor|41|pending
2353|cobalt|north|frame|41|pending
2412|fulton|east|sensor|77|held
2479|acme|north|cable|82|held
2186|gale|east|frame|37|held
1685|harbor|north|cable|40|paid
1568|cobalt|south|pump|16|pending
1403|harbor|west|valve|91|pending
2297|dorian|west|cable|63|held
1526|dorian|south|panel|43|held
1907|acme|north|gasket|74|pending
1742|harbor|west|gasket|10|pending
1549|ionic|west|rotor|44|paid
2445|acme|east|cable|36|shipped
2414|fulton|west|valve|43|pending
2474|harbor|south|panel|86|pending
1641|ember|north|valve|56|held
1552|dorian|east|panel|55|held
1985|harbor|north|pump|91|held
1547|ionic|west|frame|94|held
1768|juno|west|panel|62|held
2071|birch|south|frame|98|pending
2327|ionic|south|rotor|88|held
2242|birch|south|valve|91|shipped
1506|fulton|south|rotor|67|held
2153|birch|west|cable|25|held
1888|gale|east|panel|99|pending
1903|gale|east|cable|67|paid
1766|cobalt|east|gasket|35|paid
2503|ionic|south|cable|60|paid
1696|ember|west|pump|81|paid
1603|harbor|east|cable|84|shipped
1732|birch|south|sensor|21|paid
1445|ember|south|rotor|38|held
1575|gale|west|rotor|52|shipped
2293|birch|north|gasket|90|held
2057|gale|north|valve|86|paid
2440|dorian|west|frame|10|held
2359|dorian|south|pump|64|shipped
2222|harbor|north|cable|22|held
2286|juno|south|valve|75|shipped
1965|ionic|east|frame|10|paid
2169|harbor|east|panel|25|paid
1634|harbor|south|frame|84|shipped
1988|acme|east|rotor|57|held
1849|ionic|east|rotor|75|shipped
1981|fulton|west|sensor|33|held
2497|harbor|north|rotor|36|held
1883|birch|south|valve|14|pending
1800|cobalt|west|frame|41|shipped
1955|cobalt|east|cable|53|paid
2457|juno|east|cable|32|paid
1517|cobalt|west|panel|28|held
2110|acme|north|rotor|95|held
1638|harbor|east|valve|60|shipped
1962|ember|north|frame|84|held
1392|harbor|west|gasket|75|held
1446|cobalt|east|valve|87|pending
1820|birch|north|frame|74|held
1486|acme|south|rotor|48|shipped
2320|gale|south|rotor|11|pending
1589|harbor|south|sensor|83|pending
1395|harbor|west|valve|16|pending
1784|birch|north|pump|21|held
2023|cobalt|east|cable|70|paid
2129|dorian|west|sensor|52|paid
1611|dorian|north|cable|17|shipped
1682|cobalt|south|valve|94|shipped
2430|gale|east|frame|49|shipped
1794|ionic|east|sensor|84|pending
1570|dorian|north|gasket|80|shipped
1749|ember|east|frame|17|pending
2389|acme|south|valve|56|pending
1952|acme|east|frame|81|paid
2483|acme|east|rotor|38|pending
2302|dorian|west|rotor|63|shipped
2255|birch|south|gasket|80|pending
1405|harbor|east|sensor|38|pending
1460|ionic|south|frame|40|pending
2122|dorian|east|sensor|56|pending
1614|gale|east|frame|76|pending
1513|ionic|south|gasket|91|pending
2441|acme|east|valve|13|shipped
1453|ionic|east|gasket|89|held
2490|birch|east|frame|54|shipped
2313|acme|north|panel|13|pending
1877|ember|south|gasket|56|paid
1829|dorian|south|sensor|51|paid
2198|juno|north|cable|53|paid
2205|birch|west|cable|38|paid
2083|cobalt|north|frame|12|held
2043|cobalt|east|pump|76|shipped
2507|ionic|west|rotor|48|paid
1826|ionic|north|gasket|55|held
2268|gale|west|valve|69|pending
1582|juno|north|frame|33|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongagentic.tools.deploy-v1conf 100% · 784ms · $0.000 · 70 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "health_check", "args": {"service": "notifier"}}
]

wrongagentic.tools.triage-v1conf 100% · 798ms · $0.001 · 193 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 → chen
- auth → novak
- data → okafor

INCIDENTS:
1. "API latency spikes" (category: infra, priority 2)
2. "API latency spikes" (category: infra, priority 2)
3. "records missing after import" (category: data, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 3}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}
]

wrongagentic.tools.ledger-v1conf 100% · 959ms · $0.000 · 70 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $477
- delta: $217
- kilo: $192

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $155 from "echo" to "delta"
2. pay $285 from "delta" to "echo"
3. pay $482 from "echo" to "kilo"
4. pay $299 from "delta" to "kilo"
5. pay $425 from "delta" 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": "echo", "amount": 155}},
  {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 155}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.1s · $0.002 · 65 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 (129 records, format: id|customer|region|item|qty|status):
```
1135|cobalt|east|gasket|24|pending
1225|juno|south|sensor|88|shipped
1171|dorian|north|panel|42|paid
1196|cobalt|north|rotor|19|pending
1335|ember|west|valve|78|pending
1495|dorian|west|pump|13|held
1445|fulton|west|cable|39|shipped
1232|acme|west|gasket|42|shipped
1201|juno|north|gasket|66|pending
1167|gale|south|rotor|13|held
1319|acme|east|panel|48|held
1531|ionic|north|gasket|34|shipped
1049|cobalt|west|sensor|11|pending
1090|cobalt|south|valve|19|pending
1089|cobalt|north|rotor|70|pending
1142|harbor|east|rotor|19|paid
1141|juno|north|pump|39|held
1512|ionic|south|pump|23|shipped
1448|dorian|east|gasket|56|pending
1325|acme|north|gasket|97|held
1478|dorian|south|pump|24|shipped
1501|birch|north|rotor|59|held
1292|fulton|west|pump|31|pending
1223|juno|east|pump|10|pending
1382|acme|west|cable|41|held
1095|juno|west|cable|67|shipped
1067|cobalt|east|valve|16|pending
1130|acme|north|pump|95|pending
1419|juno|east|gasket|11|paid
1441|dorian|west|gasket|40|paid
1105|ionic|south|valve|94|shipped
1474|gale|south|cable|86|paid
1343|cobalt|north|sensor|44|held
1511|juno|north|frame|80|held
1457|ember|east|cable|35|paid
1376|gale|north|frame|59|paid
1455|ionic|east|valve|62|pending
1532|ember|east|valve|42|held
1175|gale|west|panel|45|held
1389|harbor|east|cable|42|shipped
1350|ember|north|cable|88|pending
1413|fulton|west|sensor|22|pending
1388|ionic|north|panel|35|paid
1535|fulton|south|pump|12|held
1182|acme|west|panel|73|pending
1238|ember|north|frame|37|paid
1519|fulton|east|sensor|57|shipped
1172|harbor|east|rotor|67|paid
1310|fulton|south|frame|57|paid
1323|fulton|north|panel|85|shipped
1147|acme|east|frame|15|paid
1370|acme|north|rotor|80|pending
1062|cobalt|east|sensor|87|pending
1274|birch|south|pump|85|paid
1406|gale|east|valve|64|pending
1358|ionic|south|rotor|74|paid
1210|fulton|south|gasket|28|paid
1153|acme|east|pump|24|pending
1072|cobalt|north|pump|68|held
1468|acme|west|cable|30|pending
1247|acme|south|rotor|59|paid
1235|harbor|south|valve|39|held
1051|cobalt|north|valve|27|shipped
1428|gale|west|sensor|40|paid
1260|juno|east|gasket|41|pending
1363|ionic|west|valve|16|paid
1075|cobalt|north|valve|74|pending
1126|harbor|west|frame|92|paid
1395|juno|north|frame|16|paid
1164|ionic|west|panel|53|pending
1503|cobalt|west|gasket|74|paid
1543|cobalt|south|cable|32|pending
1222|dorian|east|gasket|59|paid
1293|gale|south|valve|84|held
1242|fulton|east|valve|89|shipped
1422|ionic|south|pump|54|shipped
1192|ember|east|rotor|14|shipped
1244|cobalt|south|valve|54|shipped
1373|dorian|south|cable|62|paid
1483|dorian|west|frame|28|paid
1492|juno|north|pump|22|pending
1214|gale|east|panel|41|paid
1094|cobalt|north|frame|32|paid
1331|fulton|north|panel|20|shipped
1082|cobalt|south|sensor|49|pending
1108|ember|west|valve|47|shipped
1245|harbor|south|gasket|87|pending
1472|ember|west|sensor|57|shipped
1065|cobalt|north|sensor|15|pending
1189|birch|east|rotor|81|held
1160|cobalt|east|panel|53|shipped
1307|ember|west|frame|74|paid
1145|cobalt|south|pump|10|held
1317|juno|west|rotor|86|held
1084|cobalt|north|rotor|27|held
1253|dorian|west|pump|88|shipped
1461|birch|west|frame|21|held
1099|fulton|east|pump|74|held
1217|harbor|south|pump|73|paid
1505|acme|west|panel|88|pending
1161|acme|east|sensor|98|paid
1341|gale|north|rotor|26|held
1284|juno|west|panel|27|paid
1374|cobalt|north|cable|21|shipped
1114|gale|west|valve|78|paid
1508|juno|east|rotor|77|shipped
1294|fulton|north|panel|78|paid
1438|ionic|north|valve|43|shipped
1267|cobalt|north|rotor|91|paid
1205|ionic|west|panel|53|shipped
1302|fulton|north|rotor|47|held
1301|acme|east|gasket|14|pending
1290|harbor|west|valve|78|paid
1489|fulton|west|panel|26|paid
1541|fulton|east|gasket|32|shipped
1102|cobalt|east|pump|77|pending
1264|harbor|south|frame|88|pending
1433|harbor|south|panel|51|shipped
1064|cobalt|north|rotor|17|paid
1354|acme|east|panel|84|paid
1043|cobalt|north|cable|78|pending
1525|juno|east|rotor|16|paid
1280|dorian|east|panel|72|paid
1401|fulton|east|sensor|68|held
1056|cobalt|north|sensor|94|pending
1121|harbor|south|frame|13|paid
1412|ionic|north|sensor|91|pending
1270|birch|west|frame|69|shipped
1538|dorian|south|rotor|71|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, 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": "rotor", "qty": 70}}, 
  {"tool": "restock", "args": {"item": "sensor", "qty": 11}}
]

wrongagentic.tools.deploy-v1conf 100% · 781ms · $0.000 · 98 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "health_check", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "reports"}}
]

wrongagentic.tools.ledger-v1conf 100% · 791ms · $0.000 · 88 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $646
- alpha: $139
- tango: $620

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $492 from "alpha" to "tango"
2. pay $321 from "tango" to "echo"
3. pay $112 from "tango" to "alpha"
4. pay $107 from "alpha" 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": "get_balance", "args": {"account": "alpha"}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 139}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 492}}
]

wrongagentic.tools.triage-v1conf 100% · 812ms · $0.001 · 69 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 → novak
- data → silva
- payments → chen

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 6)
2. "records missing after import" (category: data, priority 3)
3. "uploads failing intermittently" (category: infra, priority 6)
4. "API latency spikes" (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": "uploads failing intermittently", "priority": 6}},
	{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 3}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.2s · $0.003 · 66 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 (201 records, format: id|customer|region|item|qty|status):
```
1442|harbor|east|panel|81|pending
1697|harbor|east|rotor|37|held
1462|gale|west|pump|55|shipped
1274|birch|south|gasket|42|paid
1436|harbor|south|panel|34|shipped
1296|ionic|north|panel|85|held
1651|gale|north|gasket|45|paid
1122|cobalt|west|gasket|80|shipped
1151|juno|north|valve|88|pending
1550|acme|south|gasket|55|shipped
1201|birch|west|sensor|43|paid
1538|dorian|east|gasket|94|shipped
1643|gale|east|sensor|17|held
1509|harbor|west|gasket|65|paid
1300|dorian|south|pump|46|held
1470|cobalt|south|gasket|13|shipped
1629|ember|north|panel|94|paid
1149|gale|south|gasket|79|shipped
1063|gale|north|frame|23|held
1333|juno|west|gasket|46|held
1332|fulton|south|panel|78|paid
1493|cobalt|south|panel|97|shipped
1599|harbor|west|pump|45|shipped
1500|juno|south|gasket|76|paid
1165|dorian|north|rotor|67|paid
1263|fulton|north|panel|37|shipped
1290|birch|south|cable|54|held
1306|birch|south|frame|50|pending
1175|gale|south|pump|43|held
1313|cobalt|east|gasket|87|pending
1340|harbor|south|pump|88|paid
1318|ember|west|cable|55|shipped
1769|birch|west|valve|34|pending
1229|fulton|east|panel|67|paid
1639|birch|east|cable|41|paid
1799|cobalt|east|sensor|18|shipped
1055|gale|north|gasket|37|pending
1042|gale|west|cable|69|pending
1523|fulton|east|valve|98|paid
1283|acme|east|gasket|97|held
1390|cobalt|south|cable|26|held
1645|harbor|south|cable|71|shipped
1668|fulton|north|cable|20|shipped
1515|dorian|south|pump|74|pending
1733|birch|south|cable|48|pending
1545|fulton|west|cable|33|paid
1571|gale|east|sensor|49|held
1615|harbor|north|gasket|67|pending
1049|gale|north|cable|25|shipped
1521|fulton|south|sensor|79|pending
1563|ember|west|pump|83|held
1207|birch|east|cable|70|paid
1183|cobalt|north|panel|87|paid
1809|fulton|west|cable|76|held
1534|ionic|south|valve|35|paid
1786|gale|east|pump|19|pending
1508|ember|north|cable|23|pending
1487|harbor|north|panel|59|pending
1322|cobalt|east|sensor|72|shipped
1417|harbor|north|frame|36|held
1386|acme|west|frame|76|paid
1237|ember|south|gasket|11|shipped
1307|acme|south|valve|28|paid
1246|ember|west|panel|42|shipped
1387|fulton|west|pump|20|shipped
1713|dorian|south|valve|41|held
1595|juno|south|rotor|89|held
1725|cobalt|west|panel|50|pending
1628|cobalt|west|frame|67|held
1575|ionic|east|frame|78|held
1822|harbor|east|frame|38|shipped
1642|dorian|east|pump|70|paid
1704|juno|east|valve|39|held
1670|birch|east|cable|57|held
1657|harbor|west|sensor|74|held
1504|ionic|south|panel|57|pending
1170|ember|south|valve|53|paid
1074|gale|east|rotor|84|pending
1779|ember|east|sensor|95|held
1636|gale|east|gasket|99|paid
1726|birch|north|sensor|28|paid
1768|harbor|south|panel|59|pending
1444|ionic|west|panel|77|pending
1455|juno|west|panel|84|held
1248|ionic|west|gasket|44|shipped
1329|harbor|west|rotor|57|paid
1796|fulton|west|cable|75|held
1492|fulton|east|frame|48|held
1376|acme|south|sensor|31|shipped
1622|ionic|west|sensor|17|pending
1260|acme|south|frame|68|pending
1566|fulton|west|panel|58|held
1604|ember|south|pump|52|held
1752|juno|south|pump|14|held
1672|ionic|west|frame|49|paid
1261|ember|east|cable|66|pending
1635|juno|west|cable|84|held
1707|gale|east|cable|37|shipped
1069|gale|north|frame|86|pending
1423|juno|south|gasket|96|shipped
1133|cobalt|south|pump|30|held
1816|fulton|east|frame|61|held
1356|dorian|west|pump|18|shipped
1471|fulton|north|rotor|81|paid
1761|acme|west|panel|65|held
1611|ionic|north|rotor|15|paid
1439|birch|north|panel|50|shipped
1373|fulton|south|sensor|84|held
1684|acme|south|sensor|56|shipped
1412|ionic|south|gasket|23|paid
1438|dorian|west|frame|18|held
1218|cobalt|east|valve|16|shipped
1371|juno|south|frame|49|shipped
1804|dorian|north|sensor|20|paid
1413|harbor|west|rotor|63|shipped
1582|dorian|south|cable|16|pending
1367|ionic|south|rotor|29|held
1325|ionic|north|pump|36|paid
1039|gale|north|cable|95|pending
1193|juno|south|frame|71|held
1679|ember|east|panel|32|shipped
1158|cobalt|east|gasket|62|pending
1280|ionic|north|frame|33|paid
1466|acme|north|rotor|19|pending
1773|acme|east|valve|25|paid
1115|juno|south|pump|50|shipped
1195|ionic|south|cable|90|shipped
1360|ember|north|rotor|88|shipped
1265|acme|south|valve|95|held
1231|juno|east|valve|23|held
1190|acme|west|rotor|80|pending
1394|fulton|north|gasket|51|shipped
1092|gale|north|valve|31|paid
1155|acme|south|valve|34|paid
1080|gale|north|gasket|71|pending
1485|ionic|west|pump|47|paid
1252|ionic|west|gasket|12|held
1258|ember|west|panel|71|pending
1211|juno|south|sensor|45|held
1059|gale|south|panel|49|pending
1349|acme|west|cable|45|shipped
1529|birch|west|pump|70|pending
1178|acme|north|sensor|20|held
1078|gale|north|valve|44|shipped
1686|gale|north|frame|67|pending
1450|ember|west|panel|32|paid
1719|fulton|west|frame|37|held
1712|ember|west|valve|30|shipped
1331|acme|south|frame|33|paid
1709|cobalt|north|frame|61|shipped
1776|juno|west|valve|23|shipped
1473|juno|west|cable|80|shipped
1539|gale|west|gasket|21|held
1443|birch|east|rotor|36|shipped
1171|fulton|west|panel|62|paid
1136|gale|west|panel|22|held
1269|birch|north|gasket|54|held
1399|acme|west|valve|92|shipped
1361|fulton|west|cable|46|paid
1664|dorian|south|sensor|81|pending
1408|juno|east|valve|39|held
1125|gale|north|pump|52|paid
1561|gale|west|rotor|69|held
1739|ionic|east|pump|79|pending
1587|ember|north|frame|44|pending
1678|birch|north|frame|39|pending
1209|gale|west|valve|26|held
1592|dorian|north|frame|80|paid
1225|ionic|north|pump|89|shipped
1380|acme|north|panel|18|pending
1748|ionic|north|valve|54|held
1087|gale|west|sensor|74|pending
1109|fulton|east|pump|13|shipped
1482|fulton|north|cable|86|paid
1557|harbor|west|pump|93|paid
1656|ember|east|pump|59|shipped
1118|juno|north|sensor|32|held
1131|acme|north|gasket|20|held
1401|acme|west|rotor|11|pending
1791|acme|north|gasket|94|shipped
1610|fulton|north|valve|11|held
1279|ember|east|cable|57|pending
1098|birch|east|frame|93|paid
1345|ionic|west|sensor|59|shipped
1262|gale|south|sensor|86|held
1757|ember|south|pump|53|shipped
1316|harbor|west|frame|38|pending
1429|fulton|north|valve|41|held
1693|fulton|north|gasket|71|paid
1475|juno|north|pump|89|paid
1259|acme|west|frame|72|held
1572|dorian|west|pump|68|shipped
1104|ionic|north|frame|94|held
1617|gale|south|cable|11|pending
1241|ionic|north|cable|91|pending
1675|birch|east|frame|67|shipped
1743|harbor|east|pump|30|held
1143|ionic|west|rotor|33|paid
1520|fulton|north|valve|76|paid
1188|birch|east|valve|53|paid
1464|ionic|north|cable|11|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "gasket", "qty": 37}}, 
  {"tool": "restock", "args": {"item": "cable", "qty": 25}}
]

wrongagentic.tools.ledger-v1conf 100% · 761ms · $0.001 · 277 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $301
- alpha: $615
- lima: $454

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $223 from "echo" to "alpha"
2. pay $100 from "echo" to "alpha"
3. pay $386 from "echo" to "alpha"
4. pay $122 from "lima" 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": "get_balance", "args": {"account": "echo"}},
  {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 223}},
  {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 223}},
  
  {"tool": "get_balance", "args": {"account": "echo"}},
  {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 100}},
  {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 100}},

  {"tool": "get_balance", "args": {"account": "echo"}},
  {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 386}},
  {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 386}},

  {"tool": "get_balance", "args": {"account": "lima"}},
  {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 122}}
]

wrongagentic.tools.deploy-v1conf 100% · 764ms · $0.000 · 86 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "health_check", "args": {"service": "notifier"}}
]

wrongagentic.tools.triage-v1conf 100% · 827ms · $0.001 · 99 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

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

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "invoice total wrong" (category: payments, priority 5)
3. "dashboard shows stale numbers" (category: data, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
	{
		"tool": "create_ticket",
		"args": {
			"title": "dashboard shows stale numbers",
			"priority": 5
		}
	},
	{
		"tool": "assign",
		"args": {
			"ticket_id": "TCK-1",
			"agent": "rivera"
		}
	}
]

wrongagentic.tools.context-load-v1conf 100% · 1.6s · $0.002 · 114 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 (156 records, format: id|customer|region|item|qty|status):
```
1524|gale|east|rotor|97|pending
1437|birch|west|frame|75|pending
1447|fulton|east|cable|87|held
1079|juno|south|panel|26|pending
1205|juno|west|cable|50|held
1221|dorian|north|panel|11|shipped
1153|ember|south|frame|41|pending
1072|juno|east|pump|65|pending
1496|ionic|south|rotor|63|paid
1404|dorian|east|sensor|87|paid
1073|juno|south|panel|87|shipped
1692|fulton|south|sensor|18|held
1464|ionic|east|panel|14|pending
1320|acme|south|rotor|22|paid
1581|ember|east|panel|49|held
1328|ionic|north|pump|48|pending
1308|ember|west|sensor|99|held
1476|fulton|east|frame|36|pending
1190|gale|west|cable|44|paid
1146|gale|east|gasket|87|pending
1555|ionic|south|panel|91|held
1671|juno|east|pump|38|shipped
1222|juno|north|cable|26|held
1487|dorian|south|gasket|61|pending
1339|gale|east|valve|41|shipped
1354|ionic|west|panel|91|pending
1415|cobalt|south|sensor|30|paid
1229|ionic|east|pump|69|pending
1218|acme|south|pump|44|held
1095|juno|north|pump|87|pending
1675|ember|east|cable|58|shipped
1567|juno|east|sensor|82|held
1261|acme|south|gasket|45|held
1369|harbor|north|gasket|17|held
1444|dorian|north|panel|99|shipped
1315|gale|west|frame|76|held
1407|acme|north|pump|31|pending
1120|juno|north|pump|55|pending
1331|gale|east|sensor|12|pending
1630|gale|east|gasket|74|held
1452|dorian|east|cable|79|pending
1634|cobalt|south|pump|36|held
1202|acme|north|frame|31|pending
1243|birch|east|gasket|60|paid
1648|fulton|south|cable|88|pending
1252|ionic|east|cable|39|paid
1127|juno|south|panel|68|paid
1585|cobalt|west|cable|68|pending
1378|cobalt|east|pump|11|pending
1295|ember|north|pump|98|paid
1414|juno|west|panel|77|paid
1115|juno|south|valve|13|pending
1361|ionic|south|frame|28|shipped
1163|ember|east|frame|80|held
1455|harbor|west|panel|40|pending
1177|harbor|south|pump|53|shipped
1647|juno|west|cable|88|held
1685|dorian|east|panel|57|paid
1157|ionic|south|frame|15|paid
1069|juno|south|pump|86|pending
1198|ember|north|pump|85|shipped
1421|ember|south|gasket|64|shipped
1365|ionic|south|panel|53|shipped
1547|ionic|north|cable|68|paid
1605|ember|north|valve|64|shipped
1310|gale|west|valve|29|pending
1623|fulton|north|frame|39|held
1113|juno|south|sensor|70|paid
1194|ember|south|panel|39|shipped
1456|ember|south|sensor|52|pending
1600|birch|west|panel|61|shipped
1573|acme|north|valve|53|pending
1289|acme|south|valve|42|shipped
1518|juno|west|frame|10|shipped
1213|gale|west|panel|31|shipped
1513|dorian|north|frame|92|held
1332|birch|north|valve|75|pending
1502|birch|south|gasket|96|held
1322|acme|south|frame|30|paid
1330|dorian|west|pump|38|held
1373|ionic|west|cable|20|pending
1156|harbor|south|sensor|44|paid
1542|fulton|south|panel|49|held
1080|juno|north|frame|31|pending
1566|fulton|east|panel|39|pending
1535|birch|west|frame|50|pending
1311|ember|east|cable|77|pending
1461|ionic|west|sensor|22|paid
1255|ember|north|valve|78|paid
1658|ember|south|panel|84|pending
1612|harbor|west|gasket|87|held
1493|juno|west|pump|45|held
1432|ember|west|rotor|34|pending
1561|birch|north|sensor|86|paid
1445|ember|north|cable|29|shipped
1654|gale|south|sensor|98|paid
1615|harbor|east|gasket|41|paid
1341|cobalt|east|rotor|61|pending
1326|fulton|south|cable|50|shipped
1506|cobalt|west|frame|43|shipped
1254|birch|south|rotor|99|shipped
1428|dorian|south|frame|11|held
1472|dorian|east|valve|33|shipped
1245|ionic|south|cable|36|paid
1297|acme|north|sensor|57|pending
1383|fulton|east|pump|31|paid
1665|fulton|east|rotor|58|paid
1349|fulton|west|pump|88|held
1167|fulton|south|valve|72|paid
1598|juno|north|panel|97|paid
1679|cobalt|south|sensor|75|held
1395|juno|south|rotor|37|shipped
1142|cobalt|east|frame|94|shipped
1699|harbor|east|sensor|37|shipped
1575|birch|north|valve|39|paid
1133|fulton|west|frame|88|held
1239|fulton|west|gasket|45|held
1172|acme|north|sensor|33|pending
1619|fulton|south|gasket|27|held
1302|harbor|north|pump|67|pending
1191|cobalt|north|gasket|50|paid
1430|juno|north|frame|35|held
1109|juno|east|frame|53|pending
1505|harbor|east|panel|61|shipped
1137|cobalt|west|cable|17|shipped
1482|birch|east|frame|62|pending
1640|cobalt|south|valve|88|held
1558|gale|east|gasket|96|held
1085|juno|south|panel|88|held
1089|juno|south|pump|50|pending
1270|ember|east|pump|64|held
1563|juno|east|sensor|36|pending
1399|juno|east|rotor|77|paid
1651|juno|north|sensor|81|pending
1668|dorian|east|frame|31|pending
1162|ember|west|frame|76|paid
1235|ember|east|valve|71|paid
1183|dorian|north|valve|28|pending
1271|cobalt|north|frame|75|paid
1531|cobalt|west|valve|17|paid
1517|dorian|east|gasket|78|held
1282|gale|north|sensor|24|pending
1468|dorian|north|pump|94|paid
1209|harbor|east|valve|53|paid
1569|fulton|east|pump|22|pending
1682|ember|west|pump|20|pending
1388|acme|east|pump|39|paid
1105|juno|south|valve|76|pending
1553|gale|south|valve|86|pending
1266|dorian|west|panel|48|paid
1593|fulton|north|panel|53|held
1275|cobalt|north|frame|53|pending
1098|juno|south|valve|35|held
1347|cobalt|west|gasket|65|paid
1586|cobalt|north|panel|22|held
1363|dorian|east|panel|52|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "panel", "qty": 26}}, 
  {"tool": "restock", "args": {"item": "frame", "qty": 41}}, 
  {"tool": "restock", "args": {"item": "cable", "qty": 50}}, 
  {"tool": "restock", "args": {"item": "pump", "qty": 65}}
]

wrongagentic.tools.deploy-v1conf 100% · 826ms · $0.000 · 100 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "health_check", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "reports"}}
]

wrongagentic.tools.triage-v1conf 100% · 826ms · $0.001 · 199 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → dubois
- data → okafor
- infra → tanaka

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
3. "uploads failing intermittently" (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": "SSO loop on login", "priority": 3}},
	{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
	{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
	{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
	{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}},
	{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
	{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.5s · $0.002 · 187 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 (145 records, format: id|customer|region|item|qty|status):
```
1974|gale|north|cable|71|pending
1629|dorian|north|pump|50|pending
1521|birch|north|gasket|81|held
1566|cobalt|east|pump|58|paid
2058|dorian|east|valve|76|paid
1965|acme|south|frame|18|shipped
1518|fulton|north|gasket|20|pending
1977|birch|south|panel|72|pending
1879|cobalt|east|rotor|22|pending
2025|juno|east|rotor|15|shipped
1646|acme|east|rotor|28|shipped
1747|harbor|east|pump|19|held
1812|cobalt|west|gasket|51|pending
1858|acme|west|sensor|45|paid
1852|harbor|west|frame|97|shipped
1907|dorian|north|pump|25|pending
1595|juno|south|sensor|85|pending
2042|birch|west|sensor|57|held
1884|dorian|north|sensor|23|pending
2046|juno|west|frame|75|pending
1499|ionic|south|rotor|86|held
1575|ember|east|rotor|85|pending
1893|cobalt|east|panel|34|paid
1555|gale|north|sensor|79|pending
1957|dorian|west|gasket|93|pending
1665|acme|north|cable|31|held
1791|acme|east|valve|65|shipped
1821|ember|east|frame|57|paid
1637|fulton|south|cable|84|shipped
1832|gale|south|pump|58|paid
1505|ionic|south|sensor|16|pending
2055|cobalt|east|sensor|50|pending
1807|ember|north|rotor|22|paid
1900|dorian|north|sensor|56|pending
1697|fulton|north|rotor|10|shipped
1947|fulton|west|sensor|66|paid
1643|fulton|west|frame|51|shipped
1938|dorian|south|valve|36|held
1631|birch|south|sensor|81|pending
1779|harbor|west|cable|99|held
1579|gale|east|rotor|35|pending
1689|cobalt|south|rotor|36|held
1613|cobalt|west|cable|89|paid
1715|birch|north|gasket|96|pending
1732|gale|west|frame|53|pending
2011|dorian|east|valve|91|held
1756|ionic|east|rotor|28|shipped
1547|gale|west|valve|43|paid
1786|dorian|east|rotor|81|pending
1916|harbor|north|cable|94|pending
2063|ionic|east|cable|41|paid
1771|cobalt|west|frame|55|held
1934|dorian|west|rotor|78|paid
1842|cobalt|west|pump|72|shipped
1682|fulton|south|gasket|36|shipped
1486|ionic|south|gasket|42|pending
1890|acme|north|frame|85|paid
1800|juno|south|frame|78|pending
1704|juno|south|rotor|73|shipped
1537|ionic|south|gasket|73|pending
1990|dorian|north|panel|93|shipped
1981|acme|west|cable|39|held
1677|ionic|west|sensor|84|held
2066|ember|west|valve|30|paid
1640|cobalt|east|rotor|35|paid
1967|harbor|east|panel|53|paid
2076|dorian|west|cable|47|shipped
1798|fulton|east|panel|43|shipped
1847|harbor|west|pump|36|paid
1775|ember|east|cable|63|shipped
1488|ionic|south|pump|66|held
1867|ionic|east|panel|61|held
2074|ember|west|rotor|88|paid
1961|ionic|west|valve|47|paid
1927|cobalt|west|rotor|17|pending
1507|ionic|east|frame|84|pending
1708|ionic|west|cable|34|shipped
1984|harbor|west|sensor|15|paid
1740|ionic|south|frame|33|paid
1492|ionic|west|rotor|97|pending
1729|ember|north|cable|26|paid
1600|ionic|south|cable|47|held
1532|juno|east|panel|37|held
2035|dorian|south|frame|39|shipped
2004|harbor|north|valve|62|pending
1752|harbor|south|sensor|92|pending
1776|harbor|north|rotor|78|shipped
1683|juno|west|frame|90|shipped
1914|ember|south|rotor|68|held
1828|dorian|east|pump|10|pending
1489|ionic|south|gasket|55|pending
1942|gale|south|rotor|96|pending
1526|cobalt|east|valve|38|paid
1767|acme|east|pump|91|pending
1874|dorian|south|pump|77|held
1997|acme|north|valve|45|shipped
1527|ember|east|valve|13|pending
1819|birch|west|cable|25|pending
1785|cobalt|north|sensor|16|pending
2053|ionic|east|sensor|68|paid
1763|ember|west|panel|35|shipped
1653|gale|east|sensor|88|paid
1691|juno|south|panel|46|pending
1607|ember|south|panel|13|paid
1724|ember|east|frame|52|paid
1511|ionic|south|valve|44|shipped
1487|ionic|west|sensor|79|pending
1514|acme|west|gasket|56|paid
1933|dorian|west|gasket|27|held
1589|acme|south|panel|80|paid
1658|gale|west|rotor|95|pending
2001|birch|west|panel|25|paid
1549|birch|north|pump|66|pending
1540|gale|west|pump|91|paid
1676|fulton|west|pump|42|pending
1737|ember|east|rotor|46|held
1810|dorian|east|frame|28|paid
2018|dorian|south|cable|39|pending
2075|ionic|south|valve|30|shipped
1569|birch|east|sensor|12|pending
1623|acme|west|cable|96|paid
1838|cobalt|west|rotor|80|held
2028|ionic|south|frame|17|pending
1635|ember|east|cable|30|shipped
1862|ember|east|frame|87|pending
1585|ember|south|rotor|94|paid
1578|juno|west|rotor|48|paid
1654|ionic|north|sensor|85|shipped
1626|birch|north|gasket|99|paid
1856|fulton|west|rotor|13|pending
1920|ionic|north|sensor|49|paid
1616|birch|south|rotor|79|paid
1930|cobalt|north|gasket|53|shipped
1670|gale|west|rotor|74|paid
1770|gale|west|cable|15|pending
1866|cobalt|south|valve|48|shipped
1722|cobalt|south|cable|24|shipped
1714|harbor|north|sensor|54|shipped
2060|harbor|north|gasket|58|paid
1559|harbor|east|cable|92|shipped
1597|dorian|south|sensor|24|shipped
1951|dorian|south|cable|45|shipped
2016|birch|north|sensor|28|shipped
2071|gale|south|cable|87|pending
1707|gale|south|valve|33|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 879ms · $0.000 · 79 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: $198
- kilo: $232
- tango: $644

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $110 from "tango" to "delta"
2. pay $553 from "kilo" to "delta"
3. pay $315 from "delta" to "kilo"
4. pay $587 from "delta" 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": "get_balance", "args": {"account": "tango"}},
  {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 110}}
]

wrongagentic.tools.triage-v1conf 99% · 822ms · $0.001 · 308 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 2)
2. "export file corrupted" (category: data, priority 2)
3. "refund double-charged" (category: payments, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
	{
		"tool": "create_ticket",
		"args": {
			"title": "export file corrupted",
			"priority": 2
		}
	},
	{
		"tool": "create_ticket",
		"args": {
			"title": "export file corrupted",
			"priority": 2
		}
	},
	{
		"tool": "create_ticket",
		"args": {
			"title": "refund double-charged",
			"priority": 2
		}
	},
	{
		"tool": "assign",
		"args": {
			"ticket_id": "TCK-1",
			"agent": "okafor"
		}
	},
	{
		"tool": "assign",
		"args": {
			"ticket_id": "TCK-2",
			"agent": "okafor"
		}
	},
	{
		"tool": "assign",
		"args": {
			"ticket_id": "TCK-3",
			"agent": "tanaka"
		}
	},
	{
		"tool": "close_ticket",
		"args": {
			"ticket_id": "TCK-1",
			"resolution": "duplicate of TCK-2"
		}
	}
]

wrongagentic.tools.deploy-v1conf 100% · 760ms · $0.000 · 83 tok

question

You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: notifier, reports
- billing: notifier, reports
- reports: 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 "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "health_check", "args": {"service": "notifier"}}
]

wrongagentic.tools.ledger-v1conf 100% · 778ms · $0.000 · 88 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: $803
- kilo: $150
- echo: $526

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $594 from "echo" to "bravo"
2. pay $250 from "echo" to "kilo"
3. pay $153 from "echo" to "bravo"
4. pay $468 from "echo" to "bravo"
5. pay $307 from "bravo" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "get_balance", "args": {"account": "echo"}},
  {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 594}},
  {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 594}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.7s · $0.002 · 85 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 (164 records, format: id|customer|region|item|qty|status):
```
1836|juno|east|sensor|31|shipped
2025|cobalt|east|gasket|92|shipped
1748|ember|east|gasket|73|held
1739|dorian|north|panel|14|paid
1676|fulton|south|rotor|17|paid
1508|ember|east|pump|78|pending
1572|ember|east|rotor|21|paid
1912|harbor|east|panel|74|held
1876|fulton|north|valve|12|shipped
1640|acme|west|panel|55|paid
1900|acme|east|gasket|21|held
2063|birch|south|panel|16|held
1817|cobalt|south|pump|10|held
2131|cobalt|east|cable|30|held
1539|ember|east|panel|11|shipped
1844|dorian|north|valve|84|paid
2058|fulton|west|frame|16|pending
2091|birch|east|valve|65|pending
1945|cobalt|east|sensor|95|pending
1894|ionic|west|rotor|99|shipped
1535|ember|north|rotor|93|pending
2076|ionic|west|valve|80|paid
1800|ember|east|frame|25|paid
2018|ember|north|cable|82|pending
2138|fulton|east|pump|71|paid
1917|gale|west|pump|15|pending
2119|ionic|east|gasket|57|shipped
2070|ember|south|rotor|97|pending
2051|dorian|south|panel|16|paid
2044|juno|east|cable|24|pending
1864|ember|east|frame|65|pending
1519|ember|north|frame|37|pending
1952|ionic|west|valve|72|held
1702|ember|south|gasket|67|pending
1693|fulton|east|pump|54|shipped
1851|cobalt|north|sensor|49|held
2115|dorian|north|pump|33|paid
1700|fulton|north|frame|45|paid
2140|cobalt|east|frame|29|held
1924|birch|east|frame|47|paid
1591|ember|south|pump|14|pending
1982|dorian|north|cable|57|held
1996|ember|north|rotor|79|shipped
1828|cobalt|north|valve|47|paid
1883|harbor|north|panel|74|paid
1586|ember|south|gasket|97|pending
2006|gale|south|frame|88|paid
1593|ionic|south|valve|41|shipped
1957|dorian|south|sensor|17|pending
2022|fulton|east|sensor|37|held
1774|birch|east|frame|14|paid
1623|ember|north|valve|34|shipped
1872|gale|east|panel|95|paid
1725|acme|south|frame|26|held
1678|birch|south|pump|29|pending
2152|juno|west|valve|10|held
2036|gale|south|sensor|75|pending
1730|gale|south|pump|45|paid
2084|cobalt|north|gasket|51|held
1513|ember|east|panel|21|pending
1710|acme|west|sensor|26|held
1559|juno|north|rotor|48|paid
1959|acme|south|gasket|44|shipped
1804|fulton|south|cable|29|shipped
1826|cobalt|west|panel|80|shipped
2148|harbor|north|sensor|38|pending
1794|ionic|east|sensor|64|shipped
2141|acme|south|valve|66|shipped
1692|birch|west|pump|54|shipped
1727|cobalt|west|gasket|98|paid
1889|dorian|east|frame|60|paid
1584|ionic|west|rotor|36|paid
1648|gale|east|sensor|98|held
1868|gale|south|valve|96|held
1736|gale|west|sensor|58|held
1695|ionic|east|frame|81|shipped
1857|dorian|south|valve|23|held
1598|harbor|east|sensor|24|held
1525|ember|east|rotor|85|paid
1926|birch|south|frame|91|shipped
2049|fulton|north|cable|61|shipped
1707|fulton|east|cable|51|paid
1669|dorian|north|gasket|28|shipped
1639|acme|west|pump|70|held
1509|ember|north|cable|24|pending
1932|juno|east|pump|78|pending
2050|dorian|east|sensor|54|pending
1622|birch|north|cable|24|shipped
2073|dorian|west|panel|62|pending
2094|ionic|west|valve|42|paid
1689|fulton|west|cable|32|shipped
1964|cobalt|east|sensor|81|shipped
1683|gale|east|pump|19|pending
2126|dorian|north|valve|18|shipped
1494|ember|east|panel|79|pending
1976|ember|east|gasket|19|shipped
1712|gale|south|rotor|65|shipped
1529|ember|east|rotor|90|pending
1719|ionic|north|frame|26|pending
1606|gale|north|panel|34|pending
1971|gale|east|pump|88|pending
1838|ember|north|panel|95|shipped
1646|acme|north|frame|75|pending
1610|cobalt|west|gasket|54|paid
1720|fulton|west|valve|88|paid
1655|fulton|west|frame|51|pending
1604|cobalt|south|pump|52|held
1787|gale|south|cable|27|paid
1570|gale|west|valve|86|held
1565|harbor|east|cable|13|paid
1500|ember|south|valve|41|pending
1577|birch|east|valve|68|paid
2031|dorian|south|rotor|78|paid
1662|fulton|north|rotor|93|held
1778|acme|east|gasket|40|held
1691|harbor|west|sensor|75|pending
1634|birch|south|panel|87|shipped
2159|harbor|east|sensor|52|shipped
1780|fulton|east|cable|77|held
1629|ionic|east|sensor|93|paid
1939|acme|west|sensor|94|held
1742|ionic|east|cable|30|pending
1545|juno|south|pump|57|held
1777|acme|west|panel|37|paid
1574|gale|west|pump|33|paid
2079|ember|east|cable|56|paid
1665|gale|east|gasket|36|pending
1615|harbor|east|cable|60|paid
2012|juno|west|gasket|91|pending
1737|dorian|east|frame|45|shipped
1506|ember|east|gasket|63|paid
1943|fulton|south|panel|52|paid
1813|dorian|west|pump|67|pending
2112|juno|south|panel|49|paid
1750|ionic|south|rotor|92|shipped
2042|acme|north|gasket|34|held
1708|cobalt|north|rotor|20|shipped
1758|ember|west|gasket|91|held
1949|dorian|west|valve|70|shipped
1902|harbor|north|gasket|16|paid
1833|cobalt|south|pump|88|shipped
1972|harbor|east|rotor|24|shipped
1764|harbor|south|pump|59|paid
1907|gale|west|gasket|35|shipped
1754|ember|south|cable|31|pending
1770|harbor|north|cable|38|held
1814|harbor|east|rotor|73|paid
1933|cobalt|north|rotor|15|paid
1756|ember|north|panel|49|held
1989|ionic|west|cable|93|held
2000|ember|north|gasket|72|pending
2060|harbor|south|gasket|57|held
2106|birch|north|frame|57|paid
1808|dorian|north|frame|61|pending
1879|birch|south|frame|19|held
1548|fulton|west|panel|30|held
1820|acme|north|cable|47|shipped
1681|harbor|west|frame|61|pending
1555|ember|west|panel|71|held
1847|cobalt|east|valve|38|pending
2104|acme|east|panel|70|pending
1512|ember|east|frame|13|held
2099|juno|east|cable|77|paid
1845|ionic|west|frame|77|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "gasket", "qty": 65}}, 
  {"tool": "restock", "args": {"item": "frame", "qty": 25}}, 
  {"tool": "cancel_order", "args": {"order_id": 1508}}
]

wrongagentic.tools.deploy-v1conf 100% · 725ms · $0.001 · 155 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
- search: auth-svc
- notifier: auth-svc
- auth-svc: (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": "auth-svc"}},
  {"tool": "health_check", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "health_check", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "health_check", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "health_check", "args": {"service": "notifier"}}
]

wrongagentic.tools.ledger-v1conf 100% · 771ms · $0.000 · 73 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: $379
- bravo: $819
- kilo: $872

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $485 from "kilo" to "bravo"
2. pay $285 from "oscar" to "kilo"
3. pay $560 from "bravo" to "oscar"
4. pay $269 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": "top_up_from_reserve", "args": {"account": "kilo", "amount": 269}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 269}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 1.2s · $0.003 · 213 tok

model answer:

[
  {"tool": "restock", "args": {"item": "rotor", "qty": 46}}, 
  {"tool": "restock", "args": {"item": "frame", "qty": 58}}, 
  {"tool": "restock", "args": {"item": "gasket", "qty": 40}}, 
  {"tool": "restock", "args": {"item": "sensor", "qty": 36}}, 
  {"tool": "restock", "args": {"item": "cable", "qty": 62}}, 
  {"tool": "restock", "args": {"item": "valve", "qty": 25}}, 
  {"tool": "restock", "args": {"item": "pump", "qty": 75}}, 
  {"tool": "restock", "args": {"item": "panel", "qty": 78}}
]

wrongagentic.tools.triage-v1conf 100% · 800ms · $0.001 · 70 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

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

INCIDENTS:
1. "refund double-charged" (category: payments, priority 3)
2. "uploads failing intermittently" (category: infra, priority 4)
3. "uploads failing intermittently" (category: infra, 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": "refund double-charged", "priority": 3}},
	{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}
]

wrongagentic.tools.deploy-v1anchorconf 100% · 760ms · $0.000 · 85 tok

model answer:

[
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "health_check", "args": {"service": "gateway"}}
]

wrongagentic.tools.triage-v1anchorconf 100% · 713ms · $0.001 · 119 tok

model answer:

[
	{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
	{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
	{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
	{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}
]

wrongagentic.tools.ledger-v1anchorconf 100% · 1.0s · $0.000 · 71 tok

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 451}},
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}
]

wrongagentic.tools.ledger-v1conf 100% · 857ms · $0.001 · 231 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $589
- kilo: $825
- alpha: $197

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $293 from "alpha" to "echo"
2. pay $323 from "echo" to "alpha"
3. pay $537 from "alpha" to "kilo"
4. pay $455 from "alpha" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 293}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 293}},
  {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 323}},
  {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 323}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 537}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 537}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 455}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 455}}
]

wrongagentic.tools.triage-v1conf 100% · 856ms · $0.000 · 69 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- payments → novak
- auth → okafor
- data → rivera

INCIDENTS:
1. "refund double-charged" (category: payments, priority 2)
2. "refund double-charged" (category: payments, priority 2)
3. "dashboard shows stale numbers" (category: data, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
	{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
	{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.5s · $0.004 · 408 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 (270 records, format: id|customer|region|item|qty|status):
```
1349|cobalt|north|gasket|99|pending
2035|ember|west|sensor|22|pending
1282|ionic|east|gasket|12|paid
1972|ember|south|pump|62|paid
1590|acme|south|sensor|44|shipped
2023|ionic|west|panel|59|shipped
1463|birch|east|cable|90|shipped
1560|birch|south|rotor|72|paid
1963|juno|east|frame|43|paid
1386|cobalt|east|panel|90|held
1717|dorian|east|panel|19|pending
1440|acme|east|gasket|84|paid
1390|harbor|south|sensor|15|held
1576|juno|west|panel|22|shipped
1835|gale|west|sensor|45|paid
2154|birch|south|pump|29|held
1467|harbor|south|cable|21|pending
1200|harbor|west|rotor|73|shipped
1229|harbor|north|pump|61|pending
1817|ember|north|rotor|62|paid
1802|birch|north|valve|89|pending
2019|acme|south|valve|77|paid
1846|acme|south|valve|60|held
2024|fulton|north|frame|59|pending
1492|dorian|east|panel|79|shipped
1299|cobalt|east|cable|78|pending
2078|cobalt|east|valve|95|held
1263|cobalt|north|frame|82|pending
1546|gale|west|sensor|20|shipped
1490|fulton|south|panel|51|paid
1778|ionic|north|valve|60|held
2042|birch|north|sensor|75|pending
1889|birch|west|sensor|87|paid
1329|cobalt|south|rotor|23|paid
1265|acme|west|cable|36|paid
1654|harbor|north|frame|96|shipped
1948|juno|south|panel|43|shipped
1292|harbor|west|valve|42|shipped
1690|dorian|south|gasket|96|shipped
1862|fulton|west|gasket|34|shipped
1950|birch|south|rotor|32|pending
1257|birch|north|panel|76|pending
1310|gale|north|cable|36|pending
1939|juno|south|rotor|30|held
1626|harbor|east|rotor|68|held
2093|harbor|west|pump|98|shipped
1740|fulton|north|gasket|16|shipped
1406|acme|west|rotor|97|pending
1671|birch|south|frame|78|pending
2181|harbor|west|pump|30|shipped
1929|juno|west|valve|48|pending
1214|harbor|north|sensor|38|pending
1877|birch|south|pump|20|held
1825|gale|north|frame|63|shipped
2121|harbor|east|cable|50|held
2101|ember|west|sensor|42|pending
1203|harbor|south|pump|14|pending
1419|ionic|south|frame|57|shipped
1995|dorian|east|cable|21|paid
1739|harbor|south|gasket|85|pending
1770|ionic|north|rotor|39|paid
2065|cobalt|south|panel|87|held
2115|ionic|east|sensor|36|paid
1771|cobalt|east|gasket|26|shipped
2141|birch|east|gasket|62|pending
1519|dorian|south|frame|79|held
2172|ember|south|frame|71|paid
1640|fulton|north|pump|86|pending
1288|ember|north|frame|22|pending
1757|juno|south|pump|84|pending
1953|juno|east|gasket|43|held
2143|harbor|west|frame|51|pending
1403|acme|north|valve|46|held
1320|ionic|north|panel|58|shipped
1980|dorian|south|valve|94|pending
2137|ionic|south|valve|29|pending
1468|dorian|west|sensor|81|shipped
1358|ember|north|rotor|96|shipped
1478|ionic|south|cable|37|pending
1475|dorian|west|frame|45|held
1346|cobalt|north|sensor|63|paid
1750|ionic|east|cable|39|pending
1788|dorian|east|cable|25|paid
2044|juno|south|cable|95|pending
1506|cobalt|west|sensor|40|pending
2114|harbor|north|gasket|42|shipped
1809|harbor|north|pump|55|paid
1925|dorian|north|sensor|69|pending
2098|gale|north|valve|39|pending
1597|birch|north|sensor|17|pending
1713|cobalt|east|panel|12|pending
1999|gale|west|pump|13|held
1359|ionic|south|frame|90|paid
1526|fulton|west|gasket|76|shipped
1529|dorian|west|valve|17|shipped
1765|gale|west|panel|23|shipped
1592|birch|north|panel|79|shipped
1497|cobalt|south|pump|70|shipped
2176|juno|north|valve|10|pending
1697|cobalt|east|pump|63|paid
1984|juno|east|panel|99|pending
1428|cobalt|north|cable|63|shipped
1367|birch|west|sensor|75|paid
2165|dorian|south|cable|61|shipped
2048|gale|west|panel|14|held
1612|acme|east|pump|12|paid
1568|dorian|west|panel|97|paid
2204|acme|south|valve|88|held
1539|dorian|south|valve|29|held
1610|acme|north|gasket|11|held
1459|ember|west|valve|86|pending
1251|dorian|west|valve|62|paid
1395|cobalt|north|cable|69|paid
2132|cobalt|west|cable|75|pending
1569|birch|north|frame|88|pending
1910|ember|south|pump|59|pending
1698|dorian|west|rotor|35|paid
2182|juno|north|sensor|14|held
1664|ember|north|valve|27|shipped
1842|harbor|north|sensor|35|shipped
1818|cobalt|north|rotor|66|paid
1633|birch|east|valve|19|pending
1649|juno|east|valve|70|paid
1365|ionic|east|cable|91|pending
1998|ionic|west|pump|77|held
1589|ionic|east|pump|52|paid
1992|gale|west|frame|43|shipped
1764|dorian|east|rotor|51|pending
1813|birch|south|sensor|54|held
1695|gale|west|cable|40|shipped
1302|ember|south|sensor|99|shipped
1620|acme|west|valve|54|paid
1951|dorian|east|rotor|91|pending
1479|fulton|east|panel|31|pending
1786|birch|east|valve|88|shipped
2039|ionic|east|valve|10|paid
2066|juno|west|panel|79|shipped
1554|dorian|east|pump|24|pending
2002|juno|east|sensor|25|pending
1532|dorian|west|sensor|83|held
1374|ember|north|rotor|11|paid
1573|ionic|north|valve|71|held
1755|ionic|east|pump|42|paid
1396|juno|north|panel|60|paid
1513|harbor|west|sensor|42|held
1317|dorian|east|gasket|45|pending
1221|harbor|west|valve|47|held
1919|ionic|west|panel|99|shipped
2087|juno|east|valve|77|paid
1730|ember|south|panel|48|shipped
1700|harbor|west|frame|84|pending
1583|ionic|north|pump|73|paid
1222|harbor|west|rotor|67|pending
2099|ionic|south|pump|63|pending
1563|acme|east|valve|39|shipped
2188|fulton|south|pump|29|pending
2163|fulton|west|valve|15|held
1632|ember|south|frame|18|held
1857|fulton|south|gasket|48|shipped
1230|harbor|west|panel|22|shipped
1724|birch|east|gasket|91|pending
1272|cobalt|south|rotor|28|shipped
1412|fulton|south|pump|24|paid
1211|harbor|west|valve|49|pending
1465|gale|east|pump|14|held
1735|ionic|north|valve|19|pending
1238|dorian|north|cable|25|shipped
1384|acme|north|panel|77|paid
1514|gale|west|cable|38|shipped
1429|acme|north|sensor|82|shipped
2194|gale|west|valve|43|shipped
1933|cobalt|south|valve|62|pending
1655|harbor|south|sensor|32|held
2029|acme|south|valve|15|shipped
1767|harbor|north|frame|91|held
2054|cobalt|north|panel|70|shipped
1844|dorian|north|gasket|95|pending
1801|harbor|south|gasket|12|pending
1342|ionic|south|cable|13|held
1709|harbor|west|cable|40|pending
1852|fulton|south|pump|41|paid
2135|harbor|west|frame|14|held
1197|harbor|north|panel|98|pending
1574|cobalt|west|frame|33|held
2045|juno|north|rotor|78|paid
2133|juno|south|rotor|13|held
1603|harbor|north|valve|12|pending
1327|birch|west|panel|61|shipped
1500|gale|south|gasket|72|held
1381|birch|west|gasket|38|pending
2149|fulton|east|gasket|33|shipped
1772|gale|west|gasket|81|pending
1806|juno|west|rotor|97|held
1190|harbor|west|valve|12|pending
1262|juno|west|rotor|95|held
1487|dorian|north|valve|41|pending
2062|acme|east|pump|95|shipped
1956|harbor|west|pump|15|paid
2107|birch|south|rotor|13|paid
1761|birch|north|sensor|83|paid
1319|cobalt|west|sensor|12|paid
1424|acme|south|sensor|28|held
1593|gale|north|panel|18|pending
2086|ionic|east|panel|45|held
1618|harbor|east|pump|29|pending
1916|dorian|north|panel|32|paid
1878|ionic|west|cable|89|paid
1543|cobalt|west|frame|35|paid
1990|acme|east|sensor|23|pending
1673|juno|west|sensor|47|paid
1895|harbor|south|pump|98|held
1871|birch|south|valve|81|pending
1278|cobalt|south|sensor|70|pending
1826|gale|south|frame|93|held
2055|harbor|north|frame|52|shipped
1236|harbor|south|valve|25|paid
1356|dorian|west|pump|64|pending
1979|dorian|west|panel|25|paid
1433|ionic|south|pump|80|shipped
1489|cobalt|south|frame|99|held
1661|harbor|north|frame|74|held
1944|fulton|north|frame|38|shipped
2127|fulton|east|cable|58|pending
1989|fulton|east|cable|50|held
1819|cobalt|south|gasket|17|shipped
1417|juno|west|panel|91|paid
1447|dorian|north|panel|45|shipped
1754|ember|south|pump|78|pending
1439|birch|north|gasket|94|paid
1865|birch|east|rotor|95|pending
1435|cobalt|north|gasket|31|paid
1552|cobalt|west|cable|92|pending
2071|harbor|west|rotor|84|held
1782|birch|south|panel|10|pending
1968|harbor|south|gasket|62|pending
1912|acme|north|gasket|17|shipped
1901|ionic|south|sensor|66|held
1233|harbor|west|rotor|88|held
2151|birch|north|valve|11|paid
1555|ionic|north|gasket|10|shipped
1680|acme|east|gasket|37|paid
1641|harbor|east|rotor|92|pending
1245|fulton|north|pump|55|shipped
2104|gale|west|pump|29|held
1645|fulton|west|gasket|15|shipped
1452|fulton|north|rotor|74|paid
2103|ionic|west|valve|49|paid
2197|acme|south|valve|79|pending
2014|ember|north|cable|21|shipped
1814|cobalt|west|valve|78|held
2112|gale|east|panel|65|held
1335|fulton|east|valve|36|pending
1705|harbor|west|sensor|28|pending
1202|harbor|west|cable|61|pending
1653|gale|west|rotor|42|shipped
1747|gale|north|valve|76|shipped
2081|fulton|east|frame|51|pending
2159|fulton|south|gasket|54|held
1884|ember|south|gasket|14|held
1684|birch|west|pump|17|pending
1918|dorian|west|panel|75|pending
2175|fulton|north|sensor|26|paid
1308|birch|north|valve|93|held
1903|birch|north|pump|22|held
1861|acme|north|frame|80|pending
1831|dorian|east|sensor|69|shipped
1794|gale|south|panel|99|shipped
2009|cobalt|west|panel|59|shipped
1208|harbor|west|frame|48|shipped
1482|ember|north|valve|61|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongagentic.tools.context-load-v1conf 100% · 1.2s · $0.002 · 62 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 (143 records, format: id|customer|region|item|qty|status):
```
1202|birch|south|frame|33|held
1145|juno|south|pump|25|paid
1383|juno|north|panel|17|pending
1247|gale|south|frame|32|pending
1462|harbor|north|gasket|97|shipped
1400|birch|west|cable|64|held
1296|ionic|north|sensor|92|held
1345|fulton|south|pump|51|pending
1361|fulton|west|gasket|27|pending
1289|fulton|south|cable|32|pending
1318|juno|north|pump|25|paid
1596|birch|north|sensor|45|shipped
1434|dorian|east|cable|69|held
1160|ember|west|rotor|29|shipped
1587|dorian|west|frame|88|held
1493|juno|south|panel|88|pending
1509|cobalt|south|pump|98|shipped
1266|acme|north|gasket|25|held
1327|juno|west|cable|97|pending
1184|ionic|east|gasket|74|shipped
1611|acme|north|gasket|28|shipped
1430|fulton|north|panel|14|pending
1435|ember|west|pump|21|pending
1259|acme|north|cable|55|held
1130|birch|south|cable|68|paid
1482|fulton|north|gasket|17|paid
1396|harbor|east|cable|65|pending
1427|juno|north|sensor|76|pending
1094|birch|east|pump|14|pending
1412|fulton|south|gasket|18|paid
1532|dorian|east|panel|55|pending
1499|gale|north|pump|12|pending
1107|birch|west|sensor|32|pending
1561|gale|east|gasket|68|paid
1506|ember|north|panel|47|held
1068|birch|east|valve|16|pending
1250|ionic|south|gasket|19|held
1157|gale|south|rotor|55|paid
1278|dorian|south|panel|87|paid
1450|acme|south|gasket|63|pending
1231|gale|south|cable|78|pending
1581|ionic|east|gasket|52|pending
1220|acme|west|gasket|56|held
1342|juno|west|frame|24|held
1477|ember|south|pump|21|held
1357|acme|south|sensor|26|pending
1248|acme|north|gasket|68|shipped
1262|dorian|east|valve|33|shipped
1528|birch|south|panel|64|pending
1346|fulton|east|panel|61|shipped
1567|acme|east|frame|83|paid
1585|fulton|east|panel|14|pending
1325|dorian|west|frame|44|shipped
1298|birch|west|gasket|45|held
1138|juno|east|valve|28|pending
1504|cobalt|west|frame|79|pending
1521|ember|north|rotor|22|pending
1453|juno|north|pump|70|shipped
1153|gale|east|panel|21|paid
1209|fulton|west|sensor|44|shipped
1467|birch|east|sensor|25|shipped
1258|ember|west|rotor|61|shipped
1191|harbor|south|pump|38|pending
1407|harbor|west|cable|32|shipped
1404|cobalt|west|frame|83|pending
1131|dorian|east|gasket|39|shipped
1221|birch|north|cable|91|paid
1076|birch|east|pump|21|paid
1196|gale|south|panel|36|held
1284|acme|west|panel|66|pending
1457|dorian|north|rotor|30|shipped
1348|ember|east|gasket|47|shipped
1233|ionic|south|sensor|95|paid
1408|cobalt|west|valve|60|shipped
1176|gale|west|pump|67|paid
1608|ember|east|panel|41|pending
1525|cobalt|east|cable|84|held
1576|acme|south|valve|66|held
1371|gale|north|cable|98|shipped
1376|birch|east|cable|24|shipped
1092|birch|east|rotor|18|shipped
1297|dorian|west|sensor|28|held
1508|cobalt|west|gasket|15|held
1112|birch|east|rotor|44|held
1074|birch|west|panel|96|pending
1125|birch|east|sensor|27|held
1580|harbor|west|panel|34|paid
1082|birch|east|cable|33|pending
1241|birch|north|valve|29|shipped
1254|birch|south|gasket|42|shipped
1553|ember|west|cable|25|pending
1579|cobalt|south|panel|98|held
1369|ionic|west|frame|90|pending
1393|birch|east|cable|91|paid
1437|dorian|south|panel|41|held
1472|juno|west|rotor|28|held
1354|harbor|west|pump|59|held
1487|juno|south|frame|38|shipped
1362|cobalt|east|sensor|98|shipped
1089|birch|south|cable|46|pending
1242|gale|south|cable|94|paid
1276|harbor|north|gasket|14|shipped
1097|birch|north|frame|10|pending
1305|ember|east|sensor|26|shipped
1336|fulton|south|valve|46|paid
1215|birch|west|sensor|12|shipped
1439|cobalt|south|gasket|28|pending
1594|birch|east|cable|30|pending
1340|ember|south|pump|30|pending
1234|fulton|west|cable|68|shipped
1173|juno|south|gasket|73|shipped
1165|acme|south|frame|45|held
1416|acme|east|gasket|48|paid
1537|gale|west|panel|51|paid
1398|ionic|east|cable|66|pending
1102|birch|east|frame|98|pending
1113|birch|east|frame|35|pending
1227|gale|south|panel|69|paid
1574|juno|south|panel|30|pending
1511|dorian|south|gasket|85|held
1240|acme|north|rotor|34|shipped
1332|dorian|north|valve|49|paid
1555|harbor|north|frame|36|shipped
1178|ember|east|gasket|99|held
1598|ionic|east|gasket|22|shipped
1331|birch|south|frame|91|paid
1118|birch|south|cable|65|pending
1515|gale|north|pump|54|paid
1446|dorian|south|cable|15|held
1269|acme|north|pump|55|paid
1100|birch|east|rotor|70|paid
1438|ember|west|rotor|33|shipped
1349|ionic|east|gasket|34|shipped
1546|ionic|south|frame|96|paid
1389|ember|north|cable|83|paid
1169|ember|west|sensor|95|pending
1148|ember|east|valve|44|paid
1421|acme|north|pump|41|pending
1602|fulton|west|panel|10|paid
1543|ionic|west|pump|81|paid
1295|cobalt|east|sensor|20|held
1311|dorian|south|pump|19|shipped
1536|harbor|south|frame|10|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongagentic.tools.deploy-v1conf 100% · 880ms · $0.000 · 66 tok

question

You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: gateway, search
- notifier: search
- gateway: search
- search: (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 "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "health_check", "args": {"service": "search"}}
]

wrongagentic.tools.ledger-v1conf 100% · 680ms · $0.000 · 73 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: $435
- bravo: $846
- alpha: $353

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $227 from "bravo" to "tango"
2. pay $146 from "alpha" to "bravo"
3. pay $282 from "bravo" to "alpha"
4. pay $481 from "bravo" to "tango"
5. pay $197 from "tango" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 227}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 227}}
]

wrongagentic.tools.triage-v1conf 100% · 881ms · $0.001 · 121 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- data → dubois
- payments → tanaka
- auth → silva

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "card declined at checkout" (category: payments, priority 7)
3. "card declined at checkout" (category: payments, priority 7)
4. "dashboard shows stale numbers" (category: data, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
	{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}},
	{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}},
	{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}},
	{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}}
]

wrongagentic.tools.ledger-v1conf 100% · 1.4s · $0.001 · 241 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: $428
- bravo: $651
- kilo: $143

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $124 from "kilo" to "tango"
2. pay $96 from "kilo" to "bravo"
3. pay $514 from "bravo" to "tango"
4. pay $472 from "bravo" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 124}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 124}},
  {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 96}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 96}},
  {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 514}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 514}},
  {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 472}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 472}}
]

wrongagentic.tools.deploy-v1conf 100% · 819ms · $0.000 · 85 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "health_check", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "notifier"}}
]

wrongagentic.tools.triage-v1conf 100% · 888ms · $0.001 · 99 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → haddad
- payments → novak
- auth → tanaka

INCIDENTS:
1. "export file corrupted" (category: data, priority 8)
2. "card declined at checkout" (category: payments, priority 2)
3. "export file corrupted" (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": "export file corrupted",
			"priority": 8
		}
	},
	{
		"tool": "assign",
		"args": {
			"ticket_id": "TCK-1",
			"agent": "haddad"
		}
	}
]

wrongagentic.tools.context-load-v1conf 100% · 1.3s · $0.003 · 39 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 (223 records, format: id|customer|region|item|qty|status):
```
2128|cobalt|south|cable|85|paid
1874|ionic|south|gasket|65|paid
2237|ionic|east|cable|95|shipped
1670|harbor|east|valve|31|paid
1804|gale|west|gasket|59|held
1934|harbor|south|valve|12|paid
1625|acme|south|cable|12|held
2187|birch|north|cable|14|pending
1525|birch|south|panel|79|pending
1541|ember|south|gasket|88|shipped
1692|cobalt|east|pump|90|pending
2159|harbor|north|cable|58|paid
1508|birch|east|gasket|36|pending
2007|harbor|east|sensor|92|pending
1620|birch|north|gasket|55|held
1893|dorian|south|sensor|13|pending
1742|harbor|south|cable|45|paid
1685|fulton|south|sensor|31|shipped
1880|gale|east|cable|99|paid
2326|harbor|north|sensor|64|paid
1613|cobalt|west|pump|43|shipped
2320|fulton|west|panel|22|pending
2040|dorian|west|frame|55|pending
1644|ionic|east|rotor|75|shipped
2049|acme|east|gasket|14|held
1559|cobalt|north|pump|25|paid
2033|birch|west|sensor|27|held
1972|cobalt|north|frame|94|pending
1740|dorian|west|valve|20|held
1999|cobalt|east|pump|92|held
1647|fulton|west|frame|14|held
1790|birch|south|cable|66|paid
2120|birch|south|valve|16|held
1581|gale|east|pump|27|paid
2193|ionic|east|panel|38|held
1602|harbor|west|rotor|29|paid
2284|ember|east|cable|87|shipped
2273|cobalt|west|rotor|79|paid
2263|acme|south|sensor|54|held
1808|gale|north|sensor|79|held
1867|cobalt|north|frame|55|paid
1556|ionic|east|panel|21|shipped
1696|birch|east|valve|96|held
2016|gale|west|valve|72|paid
1604|gale|west|panel|49|shipped
1746|dorian|north|valve|92|shipped
1848|birch|north|valve|60|shipped
1779|birch|east|rotor|68|paid
1549|fulton|east|rotor|29|pending
1797|ionic|north|sensor|78|shipped
1536|birch|south|gasket|91|paid
1859|gale|east|pump|65|paid
2201|acme|north|rotor|29|held
1903|gale|south|panel|94|pending
1818|harbor|east|gasket|73|paid
2146|ionic|south|rotor|81|pending
2136|cobalt|north|frame|60|shipped
1970|fulton|north|cable|29|shipped
2289|dorian|west|pump|88|shipped
1834|harbor|south|sensor|59|held
1854|harbor|west|gasket|32|paid
1956|fulton|east|gasket|10|pending
1511|birch|south|valve|60|paid
1732|cobalt|south|sensor|52|held
1615|harbor|east|cable|53|shipped
1760|ionic|east|cable|84|pending
2343|juno|north|pump|56|paid
2253|birch|north|rotor|67|held
1735|juno|north|gasket|14|paid
1756|fulton|south|rotor|41|shipped
1722|dorian|east|sensor|46|pending
2101|juno|north|rotor|79|held
1589|juno|west|frame|57|shipped
1608|dorian|west|rotor|69|paid
2267|ember|south|rotor|16|paid
2269|juno|east|frame|25|paid
1781|birch|north|cable|33|pending
1645|cobalt|south|cable|70|pending
2286|gale|east|cable|11|pending
1922|juno|west|pump|33|held
1840|juno|west|frame|88|held
2083|fulton|north|rotor|98|pending
1493|birch|east|panel|50|pending
1657|birch|north|gasket|88|paid
2029|birch|east|frame|36|paid
1519|birch|north|sensor|47|pending
1902|birch|south|cable|79|held
1979|harbor|north|valve|24|held
1992|dorian|west|valve|56|held
1823|juno|north|cable|32|pending
2352|dorian|east|sensor|65|held
1986|juno|south|sensor|59|pending
1569|gale|west|valve|21|held
2270|birch|west|gasket|58|shipped
2041|birch|north|gasket|24|held
2182|fulton|north|pump|19|pending
1772|harbor|west|valve|49|held
1879|acme|west|rotor|25|pending
2059|juno|north|frame|55|pending
1769|cobalt|north|sensor|76|shipped
2169|juno|north|panel|31|shipped
1664|ember|south|gasket|24|paid
2200|cobalt|south|panel|73|paid
1885|dorian|east|sensor|53|shipped
2349|gale|south|frame|95|shipped
1480|birch|south|frame|33|pending
1912|gale|north|frame|40|held
2161|cobalt|south|cable|22|shipped
1679|gale|east|frame|96|paid
2003|juno|south|sensor|85|paid
1766|juno|south|frame|20|held
2097|gale|west|valve|35|held
2244|ember|east|panel|63|held
1850|gale|north|panel|50|shipped
2055|ember|north|gasket|91|held
1993|harbor|north|frame|34|pending
2172|acme|north|frame|98|pending
1715|gale|south|cable|41|shipped
1610|ionic|west|pump|33|shipped
2303|fulton|west|rotor|93|pending
2117|acme|south|frame|26|held
1632|acme|west|gasket|87|pending
1573|gale|north|panel|25|paid
2198|birch|east|cable|23|shipped
2251|acme|north|valve|10|pending
2143|gale|south|rotor|74|held
2162|ember|east|gasket|85|held
2225|gale|east|cable|11|pending
2259|cobalt|south|pump|16|held
2177|fulton|east|pump|45|pending
1894|ionic|west|pump|67|pending
1502|birch|south|panel|54|pending
1898|acme|south|frame|89|shipped
1520|birch|south|panel|58|paid
2325|ionic|north|sensor|93|paid
2155|dorian|west|panel|14|paid
1638|harbor|west|cable|87|held
2332|juno|east|gasket|37|shipped
2337|ember|west|pump|21|paid
1962|ember|west|cable|85|paid
1684|ember|north|rotor|70|paid
1964|gale|north|frame|83|paid
1944|birch|north|frame|32|held
1857|dorian|north|gasket|86|pending
1945|ember|west|valve|64|pending
1810|ionic|north|panel|57|pending
1710|acme|east|panel|15|shipped
1491|birch|south|gasket|66|pending
1866|juno|west|panel|25|paid
1928|ember|north|frame|90|pending
2148|juno|east|panel|48|shipped
2207|birch|west|panel|73|paid
1751|dorian|south|cable|21|shipped
1786|cobalt|west|panel|10|paid
1544|fulton|west|rotor|68|pending
2208|acme|north|frame|95|held
2092|harbor|north|cable|87|held
1868|harbor|north|valve|29|pending
2281|gale|south|gasket|56|shipped
1892|gale|north|pump|17|held
1974|dorian|north|rotor|24|held
1905|fulton|east|frame|37|held
2215|harbor|east|rotor|76|held
1831|cobalt|east|panel|91|held
1572|fulton|west|gasket|89|pending
2034|gale|east|valve|22|pending
1917|juno|east|cable|72|pending
2064|juno|south|sensor|69|held
1531|birch|north|frame|33|pending
1648|gale|west|frame|64|shipped
1721|birch|west|pump|94|shipped
2311|gale|east|rotor|67|pending
2279|fulton|south|panel|41|pending
1680|ionic|north|panel|98|paid
2107|dorian|north|frame|77|shipped
1975|ember|south|frame|35|pending
1824|fulton|west|panel|20|paid
1844|juno|north|sensor|91|shipped
2296|gale|south|sensor|82|shipped
2072|ionic|south|cable|37|shipped
2256|dorian|south|sensor|42|shipped
1837|ember|south|valve|97|held
2025|dorian|north|rotor|59|shipped
1682|fulton|south|sensor|71|paid
2158|ember|south|pump|36|held
1551|ember|east|sensor|44|held
2142|birch|south|cable|80|held
1579|acme|west|cable|60|shipped
2227|dorian|west|cable|96|paid
2211|juno|west|sensor|10|shipped
1596|juno|north|cable|92|paid
1703|harbor|north|frame|83|pending
2112|dorian|east|cable|52|shipped
2078|juno|east|rotor|37|shipped
2313|harbor|north|cable|13|paid
2203|harbor|east|valve|10|shipped
1498|birch|south|frame|63|held
1950|ember|north|valve|91|shipped
1817|ionic|north|sensor|26|shipped
1484|birch|west|valve|26|pending
1513|birch|south|pump|46|pending
2304|juno|east|pump|25|pending
1940|ionic|east|panel|35|pending
1652|harbor|west|panel|97|paid
2085|juno|east|pump|89|shipped
2069|fulton|north|sensor|23|pending
1486|birch|south|panel|54|shipped
1565|harbor|east|pump|92|pending
1588|harbor|west|valve|24|pending
2219|ionic|south|frame|25|pending
2249|cobalt|north|panel|56|pending
2105|fulton|west|sensor|89|held
1729|acme|east|valve|91|shipped
2022|dorian|south|valve|39|pending
1672|dorian|north|frame|96|shipped
2131|acme|north|panel|17|shipped
2231|fulton|east|frame|39|shipped
2154|harbor|north|sensor|95|paid
1540|dorian|south|gasket|33|shipped
2190|birch|south|cable|48|shipped
2009|birch|east|panel|57|pending
2043|cobalt|west|gasket|54|shipped
2122|dorian|north|cable|20|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "cable", "qty": 79}}
]

wrongagentic.tools.deploy-v1conf 100% · 816ms · $0.000 · 84 tok

question

You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "health_check", "args": {"service": "billing"}}
]

wrongagentic.tools.triage-v1conf 100% · 819ms · $0.001 · 204 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- data → dubois
- payments → silva
- auth → tanaka

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 9)
2. "card declined at checkout" (category: payments, priority 4)
3. "SSO loop on login" (category: auth, priority 4)
4. "SSO loop on login" (category: auth, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
  {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
  {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}},
  {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}}
]

wrongagentic.tools.ledger-v1conf 100% · 866ms · $0.000 · 73 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: $599
- tango: $773
- kilo: $881

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $100 from "lima" to "kilo"
2. pay $572 from "tango" to "lima"
3. pay $423 from "tango" to "kilo"
4. pay $463 from "kilo" to "tango"
5. pay $233 from "tango" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 100}},
  {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 100}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.7s · $0.003 · 62 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 (232 records, format: id|customer|region|item|qty|status):
```
1808|harbor|west|rotor|64|pending
1321|acme|south|gasket|26|paid
1638|birch|north|cable|38|pending
1194|harbor|north|rotor|87|pending
1946|juno|east|rotor|15|held
1683|ionic|north|frame|28|shipped
1746|dorian|east|pump|78|pending
1614|acme|east|rotor|83|pending
1433|ionic|west|frame|68|held
2128|gale|north|cable|34|held
1767|ionic|north|cable|17|shipped
1460|cobalt|north|sensor|65|pending
1850|fulton|west|sensor|27|pending
1530|ionic|west|valve|52|held
1772|acme|west|frame|88|held
2033|gale|north|cable|53|pending
1341|ionic|east|frame|90|shipped
1198|harbor|south|cable|62|shipped
1311|acme|south|gasket|99|shipped
1872|cobalt|east|pump|81|shipped
1697|fulton|west|pump|19|held
2099|juno|west|cable|49|held
1443|gale|south|panel|59|shipped
1776|dorian|north|panel|93|held
1454|dorian|south|pump|50|pending
1987|birch|west|cable|61|pending
1554|juno|north|cable|15|paid
1439|juno|east|gasket|50|pending
1447|harbor|north|sensor|22|shipped
1760|birch|south|rotor|76|pending
1925|juno|east|sensor|16|pending
2090|juno|south|valve|54|pending
1418|cobalt|south|pump|14|held
1491|cobalt|south|sensor|62|shipped
2016|ember|south|sensor|92|paid
1926|harbor|east|cable|84|paid
1931|acme|west|pump|79|paid
1843|harbor|north|panel|98|shipped
1781|harbor|south|panel|17|pending
1367|juno|north|sensor|20|held
1572|cobalt|west|gasket|40|shipped
1275|dorian|west|pump|97|pending
2059|birch|west|rotor|18|shipped
1673|ember|west|panel|57|pending
1334|fulton|west|panel|49|pending
1365|cobalt|north|gasket|98|held
1644|acme|east|gasket|53|paid
1626|acme|east|gasket|42|pending
2022|birch|north|panel|25|shipped
1650|juno|north|gasket|60|shipped
1655|ember|north|sensor|18|shipped
1350|dorian|west|valve|84|pending
1407|birch|south|panel|12|pending
1950|fulton|west|frame|80|paid
1727|gale|north|sensor|73|paid
2044|ember|east|gasket|30|shipped
1897|birch|east|rotor|55|held
1489|fulton|west|pump|46|paid
1360|harbor|west|valve|13|held
1994|cobalt|north|gasket|22|held
1451|ionic|north|rotor|85|held
1551|fulton|south|gasket|62|pending
1811|harbor|south|sensor|80|paid
1268|dorian|east|panel|74|held
1462|cobalt|west|panel|64|held
1411|cobalt|west|panel|33|shipped
1371|juno|north|rotor|41|shipped
2081|ionic|west|panel|62|shipped
1941|ionic|east|frame|21|shipped
1469|ionic|north|panel|96|held
1957|gale|west|pump|91|paid
1528|acme|east|pump|21|pending
1271|juno|south|pump|13|shipped
1377|harbor|east|cable|61|shipped
2113|gale|east|sensor|35|shipped
1430|juno|south|frame|27|pending
1619|dorian|south|sensor|44|held
1666|juno|south|pump|86|pending
1813|dorian|east|sensor|76|shipped
1861|birch|south|rotor|81|pending
1632|cobalt|north|frame|64|held
1759|acme|north|frame|67|pending
1881|ionic|south|pump|83|held
1929|juno|south|pump|25|shipped
1660|dorian|east|sensor|40|held
1506|gale|east|cable|31|paid
1558|ionic|north|rotor|60|pending
1627|acme|west|valve|67|held
1561|juno|south|cable|11|pending
1525|cobalt|north|panel|18|held
1582|ember|east|sensor|11|paid
1999|juno|south|gasket|54|shipped
1704|birch|west|valve|53|paid
1668|cobalt|south|valve|44|held
1878|ember|south|panel|96|paid
1583|acme|east|panel|81|held
1825|acme|south|cable|64|shipped
1917|gale|east|rotor|44|held
1457|cobalt|north|cable|71|pending
1615|cobalt|east|valve|88|shipped
1299|gale|south|panel|14|shipped
2049|gale|west|valve|32|paid
1310|ember|north|sensor|80|shipped
1744|dorian|north|pump|28|paid
1498|ionic|south|rotor|69|held
1590|juno|east|valve|14|paid
1476|fulton|east|frame|65|pending
1548|gale|east|sensor|73|pending
1249|gale|west|frame|74|pending
1678|cobalt|east|pump|58|pending
2139|birch|north|panel|80|paid
1222|harbor|north|pump|10|pending
1713|cobalt|west|cable|29|paid
1403|birch|north|pump|27|paid
1886|dorian|north|sensor|29|shipped
1292|gale|north|frame|87|held
1839|acme|north|rotor|64|shipped
1504|acme|east|valve|32|pending
1722|harbor|east|sensor|24|paid
1517|dorian|south|panel|60|shipped
1484|fulton|west|cable|15|shipped
1204|harbor|south|cable|77|pending
1962|birch|north|pump|87|paid
1288|ionic|east|rotor|18|shipped
1799|harbor|south|frame|23|paid
1841|birch|west|cable|89|held
1636|birch|south|sensor|39|pending
2027|cobalt|east|cable|63|paid
1303|ionic|north|gasket|31|paid
1977|harbor|north|panel|98|shipped
2106|juno|south|frame|63|pending
1869|birch|east|pump|25|held
1364|ember|north|frame|71|shipped
2131|birch|south|cable|84|pending
1327|fulton|east|valve|43|shipped
1390|ionic|west|sensor|47|paid
2011|ionic|north|panel|22|shipped
1711|juno|north|valve|93|paid
1565|cobalt|west|cable|13|paid
1574|acme|north|pump|36|held
1597|birch|east|valve|50|shipped
2079|gale|south|valve|22|pending
1792|ember|west|panel|15|held
1466|cobalt|east|frame|84|shipped
1316|dorian|east|gasket|69|paid
1870|ionic|east|valve|91|held
1857|dorian|north|sensor|56|paid
1423|ionic|east|frame|24|paid
2126|fulton|north|panel|99|paid
1229|harbor|south|valve|89|shipped
1536|acme|west|valve|23|held
2041|ember|west|frame|76|paid
1262|juno|east|panel|71|paid
1910|acme|north|frame|96|shipped
1956|birch|north|cable|13|shipped
1984|harbor|north|pump|41|paid
1892|fulton|east|cable|75|shipped
1976|acme|west|gasket|38|paid
1777|ember|south|frame|59|paid
1604|ember|south|cable|79|shipped
2066|acme|north|rotor|85|held
1235|harbor|east|gasket|13|pending
1891|gale|south|panel|55|paid
1539|gale|east|gasket|36|shipped
1509|birch|south|rotor|83|shipped
1906|juno|east|valve|82|held
1608|juno|south|valve|82|pending
1785|juno|south|rotor|14|shipped
2095|fulton|south|valve|96|held
1243|dorian|south|sensor|39|held
2055|harbor|east|frame|30|pending
1834|acme|south|sensor|42|paid
1514|ember|north|panel|43|held
1830|juno|west|pump|53|held
1679|ionic|west|sensor|86|shipped
1645|gale|west|sensor|11|pending
1657|juno|north|gasket|46|held
1267|ionic|south|cable|97|held
1599|gale|south|cable|32|paid
1495|harbor|east|valve|99|shipped
1207|harbor|north|valve|84|pending
1242|harbor|south|sensor|88|shipped
1686|birch|east|cable|20|paid
2072|ionic|east|frame|60|shipped
1187|harbor|south|sensor|14|pending
1969|ionic|south|gasket|92|held
1715|acme|north|sensor|81|pending
1992|harbor|west|sensor|10|pending
2136|ionic|west|gasket|78|shipped
1819|juno|east|sensor|23|held
1531|gale|west|frame|20|paid
2003|ionic|west|frame|82|pending
1584|dorian|north|sensor|11|held
1355|ember|west|sensor|40|shipped
1900|fulton|south|sensor|29|held
2085|harbor|west|sensor|41|paid
1752|ionic|north|pump|51|held
1778|gale|north|panel|56|pending
1738|birch|east|pump|78|pending
2057|ionic|east|frame|50|pending
1877|birch|west|sensor|64|held
1852|ember|south|rotor|68|paid
1281|gale|east|frame|84|shipped
1516|cobalt|south|gasket|90|shipped
1217|harbor|south|gasket|14|pending
1935|ember|west|panel|72|pending
1864|cobalt|east|valve|88|paid
2035|fulton|north|rotor|66|pending
2098|gale|east|cable|40|held
1922|gale|south|valve|11|shipped
1233|harbor|south|sensor|32|pending
2120|fulton|east|valve|40|shipped
1555|gale|east|valve|52|held
1899|fulton|south|frame|89|held
1691|acme|west|gasket|74|shipped
1348|juno|east|sensor|78|shipped
1816|gale|north|pump|40|shipped
1731|cobalt|west|valve|67|pending
1477|ionic|west|valve|83|shipped
1701|cobalt|south|panel|21|pending
2005|ember|east|gasket|55|paid
1388|ember|south|panel|67|shipped
1545|harbor|north|valve|27|pending
1384|juno|east|pump|78|held
1519|harbor|west|frame|70|pending
1494|acme|north|valve|88|paid
1589|gale|east|valve|92|held
1256|cobalt|north|sensor|94|paid
1805|ionic|south|frame|52|held
1580|gale|north|cable|29|paid
1211|harbor|south|gasket|76|shipped
1397|harbor|south|panel|76|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongagentic.tools.deploy-v1conf 100% · 1.1s · $0.000 · 101 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "health_check", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "health_check", "args": {"service": "reports"}}
]

wrongagentic.tools.ledger-v1conf 100% · 1.0s · $0.001 · 186 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $545
- oscar: $515
- tango: $428

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $488 from "alpha" to "oscar"
2. pay $521 from "tango" to "alpha"
3. pay $93 from "oscar" to "tango"
4. pay $298 from "tango" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 488}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 488}},
  {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 521}},
  {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 521}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 93}},
  {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 298}}
]

wrongagentic.tools.triage-v1conf 100% · 844ms · $0.001 · 224 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → haddad
- auth → dubois
- infra → silva

INCIDENTS:
1. "export file corrupted" (category: data, priority 7)
2. "locked out after 2FA change" (category: auth, priority 9)
3. "export file corrupted" (category: data, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
	{
		"tool": "create_ticket",
		"args": {
			"title": "export file corrupted",
			"priority": 7
		}
	},
	{
		"tool": "create_ticket",
		"args": {
			"title": "locked out after 2FA change",
			"priority": 9
		}
	},
	{
		"tool": "create_ticket",
		"args": {
			"title": "export file corrupted",
			"priority": 7
		}
	},
	{
		"tool": "assign",
		"args": {
			"ticket_id": "TCK-3",
			"agent": "haddad"
		}
	},
	{
		"tool": "assign",
		"args": {
			"ticket_id": "TCK-1",
			"agent": "haddad"
		}
	}
]

wrongagentic.tools.ledger-v1conf 100% · 854ms · $0.001 · 377 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $506
- alpha: $432
- tango: $520

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $232 from "tango" to "alpha"
2. pay $117 from "tango" to "echo"
3. pay $204 from "alpha" to "tango"
4. pay $159 from "tango" to "echo"
5. pay $547 from "alpha" 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": "get_balance", "args": {"account": "tango"}},
  {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 232}},
  {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 232}},
  {"tool": "get_balance", "args": {"account": "tango"}},
  {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 117}},
  {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 117}},
  {"tool": "get_balance", "args": {"account": "alpha"}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 204}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 204}},
  {"tool": "get_balance", "args": {"account": "tango"}},
  {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 159}},
  {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 159}},
  {"tool": "get_balance", "args": {"account": "alpha"}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 547}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 547}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.2s · $0.003 · 89 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 (206 records, format: id|customer|region|item|qty|status):
```
1468|ionic|north|valve|39|paid
1208|ember|south|pump|81|held
1587|dorian|north|pump|86|paid
1730|harbor|west|sensor|36|paid
1814|birch|north|frame|50|shipped
1524|acme|south|valve|21|shipped
1114|gale|east|rotor|96|paid
1128|gale|east|gasket|60|paid
1201|acme|north|frame|87|paid
1559|juno|north|valve|40|shipped
1152|dorian|west|frame|82|pending
1057|ionic|north|frame|42|pending
1596|birch|west|panel|59|held
1656|fulton|west|sensor|10|pending
1480|dorian|east|cable|31|pending
1828|harbor|north|rotor|52|paid
1505|ember|north|panel|58|shipped
1459|acme|east|panel|45|pending
1132|fulton|east|frame|97|paid
1562|cobalt|south|panel|32|shipped
1517|juno|south|cable|33|pending
1687|cobalt|south|panel|95|paid
1238|juno|west|sensor|95|pending
1682|harbor|east|cable|74|paid
1457|ionic|south|valve|15|held
1242|juno|south|rotor|57|pending
1625|juno|west|cable|90|paid
1085|birch|north|panel|74|pending
1094|gale|west|sensor|84|shipped
1540|fulton|east|valve|20|held
1669|cobalt|west|gasket|94|shipped
1736|ember|west|gasket|92|shipped
1103|fulton|west|panel|51|pending
1748|harbor|north|pump|46|paid
1701|gale|east|panel|21|shipped
1483|dorian|south|cable|89|paid
1324|fulton|north|frame|82|paid
1578|birch|west|rotor|62|held
1395|harbor|west|cable|32|shipped
1177|harbor|east|panel|76|pending
1630|cobalt|south|cable|71|paid
1421|dorian|south|frame|49|held
1407|dorian|south|panel|77|shipped
1427|dorian|south|panel|40|paid
1046|ionic|east|sensor|56|pending
1049|ionic|west|rotor|52|held
1770|ionic|south|sensor|99|shipped
1557|gale|north|rotor|73|paid
1642|cobalt|east|cable|28|paid
1284|birch|north|gasket|23|paid
1384|juno|north|pump|20|pending
1264|juno|north|pump|65|pending
1430|ember|east|frame|55|pending
1473|dorian|north|cable|51|held
1275|acme|north|sensor|69|paid
1193|ember|south|pump|83|held
1618|birch|south|pump|31|pending
1100|ionic|west|gasket|81|held
1410|cobalt|west|cable|89|pending
1589|dorian|north|frame|93|paid
1374|juno|west|panel|77|shipped
1780|juno|north|frame|94|paid
1277|ionic|south|rotor|35|shipped
1731|ember|west|pump|16|shipped
1693|fulton|west|rotor|31|pending
1820|ember|south|sensor|74|paid
1285|ember|south|gasket|76|shipped
1451|juno|east|frame|87|shipped
1249|fulton|east|rotor|64|held
1482|cobalt|south|gasket|85|paid
1299|harbor|north|cable|37|shipped
1470|birch|south|sensor|51|pending
1764|birch|south|gasket|53|paid
1134|birch|south|cable|58|shipped
1388|fulton|north|cable|93|held
1765|birch|south|cable|10|held
1213|juno|west|cable|43|shipped
1580|birch|south|frame|39|shipped
1805|gale|west|rotor|66|shipped
1532|dorian|west|rotor|35|held
1488|fulton|east|panel|98|pending
1797|cobalt|north|pump|39|paid
1575|cobalt|north|frame|77|shipped
1158|acme|east|rotor|88|pending
1170|harbor|south|gasket|88|shipped
1588|ionic|west|gasket|98|held
1653|gale|east|panel|71|shipped
1274|acme|west|valve|32|paid
1223|dorian|north|cable|67|held
1102|gale|north|gasket|27|pending
1570|fulton|east|rotor|80|paid
1260|cobalt|north|gasket|10|paid
1154|gale|north|valve|88|paid
1415|dorian|east|rotor|80|held
1066|ionic|west|panel|41|pending
1116|gale|south|pump|14|shipped
1358|juno|north|pump|41|shipped
1087|juno|south|rotor|25|paid
1654|ionic|west|frame|59|shipped
1319|ember|west|cable|28|shipped
1305|harbor|east|panel|38|pending
1610|juno|south|cable|14|held
1231|harbor|north|cable|62|pending
1458|ember|east|cable|83|pending
1504|cobalt|south|cable|88|paid
1219|juno|east|pump|75|pending
1310|cobalt|south|rotor|57|pending
1674|fulton|east|pump|58|shipped
1168|ember|west|valve|95|shipped
1841|gale|south|valve|77|paid
1438|ember|north|gasket|65|shipped
1196|ember|east|sensor|86|paid
1181|gale|west|cable|59|paid
1791|dorian|north|frame|54|held
1809|birch|east|cable|34|paid
1497|birch|west|pump|84|paid
1692|acme|west|gasket|68|shipped
1040|ionic|west|frame|50|pending
1240|birch|south|rotor|33|pending
1368|ember|east|frame|83|held
1501|dorian|south|rotor|25|held
1186|dorian|west|sensor|64|paid
1823|dorian|east|panel|42|pending
1511|dorian|north|rotor|52|paid
1287|dorian|west|gasket|33|held
1662|dorian|west|panel|61|held
1270|fulton|west|panel|51|held
1203|gale|north|rotor|87|held
1673|cobalt|east|rotor|21|held
1490|dorian|north|frame|51|paid
1345|ember|south|gasket|56|paid
1093|ionic|east|cable|47|held
1801|acme|east|pump|74|held
1648|cobalt|north|sensor|61|held
1742|gale|east|panel|44|pending
1761|fulton|east|cable|66|pending
1253|dorian|south|valve|49|pending
1081|dorian|west|valve|52|held
1539|gale|south|sensor|15|pending
1144|birch|east|rotor|60|pending
1351|ionic|north|cable|91|paid
1140|birch|north|pump|36|pending
1671|dorian|east|gasket|97|paid
1445|dorian|south|cable|58|shipped
1161|ember|north|sensor|93|held
1153|cobalt|south|panel|43|pending
1334|ionic|west|rotor|23|paid
1600|acme|south|gasket|41|pending
1365|ember|south|pump|95|shipped
1054|ionic|west|cable|99|pending
1294|cobalt|west|pump|74|held
1718|birch|north|gasket|32|held
1698|ionic|east|cable|78|held
1834|birch|north|cable|84|paid
1474|gale|north|pump|65|pending
1147|gale|east|cable|36|paid
1635|acme|north|rotor|32|pending
1586|dorian|north|panel|72|held
1564|gale|west|frame|77|pending
1401|acme|south|pump|57|pending
1679|cobalt|west|cable|62|shipped
1604|juno|north|rotor|71|shipped
1137|ember|east|valve|16|shipped
1712|acme|north|sensor|41|shipped
1400|harbor|west|panel|36|pending
1633|fulton|east|cable|13|held
1531|ember|north|pump|97|pending
1605|dorian|south|cable|88|shipped
1725|ionic|south|panel|75|shipped
1466|ionic|south|gasket|94|paid
1690|harbor|north|pump|69|paid
1150|ionic|west|pump|26|held
1475|birch|west|pump|78|shipped
1479|cobalt|south|cable|33|held
1315|ionic|east|valve|22|pending
1340|birch|north|valve|55|held
1414|dorian|north|rotor|90|paid
1122|juno|west|sensor|25|pending
1331|gale|west|valve|42|shipped
1706|fulton|south|pump|83|held
1136|birch|east|sensor|49|held
1547|birch|north|panel|88|pending
1768|fulton|west|rotor|53|held
1755|cobalt|east|valve|40|paid
1560|dorian|east|pump|81|shipped
1702|juno|north|cable|22|shipped
1072|ionic|south|valve|24|pending
1565|ionic|east|pump|76|pending
1783|ionic|south|gasket|50|shipped
1694|juno|east|cable|37|held
1434|dorian|south|panel|22|pending
1552|birch|south|rotor|79|pending
1078|ionic|west|frame|72|held
1377|cobalt|north|cable|80|pending
1387|gale|north|gasket|10|pending
1174|birch|south|pump|13|held
1436|ionic|south|panel|20|paid
1776|birch|east|gasket|45|pending
1785|acme|west|cable|77|pending
1798|juno|north|rotor|24|held
1229|ionic|north|valve|49|shipped
1061|ionic|west|sensor|71|shipped
1715|ember|west|sensor|72|held
1613|dorian|west|panel|98|held
1109|birch|east|frame|39|shipped
1375|birch|north|panel|51|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "frame", "qty": 42}}, 
  {"tool": "restock", "args": {"item": "sensor", "qty": 32}}, 
  {"tool": "restock", "args": {"item": "valve", "qty": 39}}
]

wrongagentic.tools.deploy-v1conf 100% · 809ms · $0.000 · 83 tok

question

You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "notifier"}},
  {"tool": "deploy", "args": {"service": "search"}}
]

wrongagentic.tools.triage-v1conf 100% · 819ms · $0.001 · 68 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → okafor
- infra → haddad
- data → dubois

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 9)
2. "API latency spikes" (category: infra, priority 9)
3. "card declined at checkout" (category: payments, priority 9)
4. "card declined at checkout" (category: payments, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
	{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 9}},
	{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.1s · $0.002 · 90 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (125 records, format: id|customer|region|item|qty|status):
```
1806|gale|north|gasket|51|pending
1642|birch|south|valve|32|held
1720|cobalt|north|frame|34|shipped
1470|fulton|west|cable|29|pending
1793|dorian|north|valve|69|pending
1823|acme|north|panel|70|shipped
1724|juno|north|gasket|13|paid
1625|ember|west|frame|53|shipped
1822|harbor|north|frame|46|pending
1529|juno|north|cable|76|paid
1747|cobalt|west|valve|47|pending
1816|birch|west|pump|14|shipped
1372|cobalt|west|valve|16|paid
1399|acme|north|rotor|98|shipped
1371|cobalt|north|sensor|16|pending
1531|ember|south|sensor|95|held
1682|gale|west|cable|38|pending
1503|cobalt|north|pump|84|shipped
1384|cobalt|west|frame|14|shipped
1665|ember|east|rotor|89|shipped
1480|acme|south|frame|98|pending
1601|fulton|south|frame|15|held
1432|ember|west|valve|92|pending
1817|fulton|west|rotor|54|paid
1404|ionic|north|valve|35|paid
1709|ember|east|sensor|89|held
1667|juno|north|cable|11|paid
1681|harbor|north|cable|37|paid
1549|fulton|east|gasket|16|pending
1463|ember|west|cable|33|paid
1592|juno|west|sensor|71|pending
1554|acme|north|sensor|40|paid
1481|juno|west|valve|89|paid
1435|juno|west|frame|39|pending
1648|gale|east|valve|16|held
1453|birch|east|frame|54|held
1651|acme|north|cable|58|shipped
1775|fulton|south|pump|78|shipped
1478|harbor|east|sensor|45|pending
1515|fulton|east|valve|53|held
1684|ember|north|frame|17|pending
1777|dorian|west|pump|95|pending
1444|birch|north|panel|83|pending
1392|cobalt|south|sensor|20|pending
1609|birch|west|gasket|61|paid
1425|harbor|west|pump|13|shipped
1534|cobalt|north|panel|89|held
1722|acme|north|frame|14|held
1388|cobalt|west|pump|67|pending
1525|fulton|south|rotor|63|paid
1615|ember|west|panel|28|held
1740|cobalt|west|valve|66|pending
1588|acme|north|sensor|79|pending
1487|gale|west|sensor|43|paid
1661|gale|north|frame|67|shipped
1363|cobalt|west|cable|71|paid
1686|harbor|south|valve|14|pending
1750|birch|east|sensor|58|held
1735|fulton|east|cable|19|paid
1573|fulton|north|rotor|39|paid
1644|acme|east|gasket|68|pending
1561|juno|south|frame|42|shipped
1674|birch|north|cable|68|held
1356|cobalt|west|gasket|94|pending
1598|ember|south|gasket|58|pending
1576|ember|west|sensor|82|paid
1360|cobalt|north|valve|48|pending
1544|gale|west|valve|29|paid
1770|birch|south|panel|25|paid
1630|juno|south|rotor|18|held
1538|dorian|west|gasket|87|pending
1459|cobalt|north|panel|68|pending
1637|acme|west|panel|98|held
1753|gale|west|frame|31|shipped
1787|acme|south|rotor|72|paid
1616|ionic|south|sensor|14|shipped
1437|juno|north|sensor|30|held
1622|ember|south|cable|54|pending
1707|fulton|north|sensor|32|pending
1749|juno|east|rotor|23|pending
1508|birch|south|rotor|33|held
1646|ionic|north|sensor|64|held
1718|ember|west|frame|35|paid
1765|birch|east|gasket|94|held
1373|cobalt|west|cable|53|pending
1758|fulton|north|frame|94|shipped
1518|harbor|east|pump|33|paid
1557|dorian|east|sensor|17|paid
1768|ember|east|pump|61|pending
1690|juno|north|pump|21|shipped
1581|juno|west|cable|93|held
1415|gale|south|rotor|76|held
1424|juno|south|sensor|94|shipped
1711|fulton|west|gasket|35|held
1604|ember|north|valve|98|pending
1619|harbor|north|cable|65|paid
1812|juno|south|gasket|22|pending
1568|acme|north|cable|43|shipped
1804|acme|north|cable|41|paid
1737|juno|west|cable|47|pending
1500|juno|east|valve|68|paid
1821|harbor|north|pump|98|pending
1472|gale|north|cable|27|paid
1431|ember|south|sensor|35|paid
1377|cobalt|north|cable|60|pending
1460|harbor|south|frame|29|pending
1605|gale|north|cable|11|shipped
1672|ember|east|valve|10|shipped
1584|cobalt|west|gasket|11|pending
1702|gale|west|pump|86|paid
1411|juno|south|panel|18|pending
1809|cobalt|north|cable|27|pending
1552|harbor|east|frame|65|shipped
1654|dorian|east|gasket|51|shipped
1729|fulton|north|cable|26|paid
1540|cobalt|east|cable|25|held
1494|juno|west|frame|73|shipped
1797|ember|east|rotor|71|paid
1780|acme|north|rotor|11|held
1395|cobalt|west|cable|81|held
1696|acme|north|gasket|22|pending
1369|cobalt|west|frame|69|pending
1514|acme|west|frame|20|shipped
1450|acme|west|frame|55|shipped
1421|ember|east|frame|39|held
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "valve", "qty": 47}}, 
  {"tool": "restock", "args": {"item": "frame", "qty": 14}}, 
  {"tool": "restock", "args": {"item": "cable", "qty": 29}}
]

wrongagentic.tools.deploy-v1conf 100% · 548ms · $0.000 · 83 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "health_check", "args": {"service": "search"}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 1.6s · $0.003 · 213 tok

model answer:

[
  {"tool": "restock", "args": {"item": "rotor", "qty": 46}}, 
  {"tool": "restock", "args": {"item": "frame", "qty": 58}}, 
  {"tool": "restock", "args": {"item": "gasket", "qty": 40}}, 
  {"tool": "restock", "args": {"item": "sensor", "qty": 36}}, 
  {"tool": "restock", "args": {"item": "cable", "qty": 62}}, 
  {"tool": "restock", "args": {"item": "valve", "qty": 25}}, 
  {"tool": "restock", "args": {"item": "pump", "qty": 75}}, 
  {"tool": "restock", "args": {"item": "panel", "qty": 78}}
]

wrongagentic.tools.ledger-v1conf 100% · 814ms · $0.000 · 73 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $406
- echo: $123
- alpha: $684

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $413 from "kilo" to "echo"
2. pay $351 from "kilo" to "echo"
3. pay $388 from "kilo" to "echo"
4. pay $190 from "alpha" to "echo"
5. pay $177 from "echo" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 7}}, 
  {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 413}}
]

wrongagentic.tools.triage-v1conf 100% · 793ms · $0.001 · 94 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- payments → rivera
- data → chen
- auth → tanaka

INCIDENTS:
1. "refund double-charged" (category: payments, priority 9)
2. "refund double-charged" (category: payments, priority 9)
3. "cannot reset password" (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": "refund double-charged", "priority": 9}},
	{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}},
	{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}
]

wrongagentic.tools.deploy-v1anchorconf 100% · 798ms · $0.000 · 85 tok

model answer:

[
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "health_check", "args": {"service": "gateway"}}
]

wrongagentic.tools.triage-v1anchorconf 100% · 928ms · $0.001 · 119 tok

model answer:

[
	{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
	{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
	{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
	{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}
]

wrongagentic.tools.ledger-v1anchorconf 100% · 928ms · $0.000 · 71 tok

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 451}},
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}
]

code 1/60 correct

wrongcode.trace.nested-v1conf 100% · 1.5s · $0.001 · 711 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 40

correctcode.trace.js-v1conf 100% · 944ms · $0.001 · 273 tok

question

Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 45

wrongcode.trace.python-v1conf 100% · 901ms · $0.001 · 849 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 13
while total + v <= 102:
    if v % 7 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 97

TimeoutError: The operation was aborted due to timeoutcode.trace.js-v1conf — · — · — · — tok

question

What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.nested-v1conf — · 799ms · $0.002 · 1385 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: (none extracted)

wrongcode.trace.js-v1conf 100% · 888ms · $0.001 · 827 tok

question

What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8, 9];
const out = arr
  .map(n => n * 2)
  .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: 45

wrongcode.trace.python-v1conf — · 875ms · $0.000 · 165 tok

question

What does this Python program print?

```python
total = 0
v = 9
while total + v <= 98:
    if v % 5 != 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: (none extracted)

wrongcode.trace.js-v1conf — · 1.1s · $0.001 · 351 tok

question

What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.nested-v1conf — · 1.5s · $0.001 · 814 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) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.python-v1conf — · 912ms · $0.001 · 509 tok

question

What does this Python program print?

```python
total = 0
v = 7
while total + v <= 112:
    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: (none extracted)

wrongcode.trace.nested-v1conf — · 778ms · $0.002 · 983 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.js-v1conf — · 788ms · $0.001 · 425 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15];
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: (none extracted)

wrongcode.trace.python-v1conf 100% · 766ms · $0.001 · 638 tok

question

What does this Python program print?

```python
total = 0
v = 1
while total + v <= 94:
    if v % 6 != 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: 77

wrongcode.trace.nested-v1conf 100% · 754ms · $0.001 · 602 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 164

wrongcode.trace.nested-v1conf — · 737ms · $0.002 · 1386 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.python-v1conf — · 794ms · $0.000 · 92 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 82:
    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: (none extracted)

wrongcode.trace.js-v1conf 100% · 934ms · $0.001 · 334 tok

question

What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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: 600

wrongcode.trace.python-v1conf 100% · 1.2s · $0.005 · 3083 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 4
while total + v <= 31:
    if v % 6 != 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: 4

wrongcode.trace.python-v1conf 100% · 761ms · $0.001 · 405 tok

question

What does this Python program print?

```python
total = 0
v = 12
while total + v <= 47:
    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: 28

wrongcode.trace.js-v1conf 100% · 749ms · $0.001 · 377 tok

question

What does this JavaScript program log?

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 204

wrongcode.trace.python-v1conf — · 1.0s · $0.002 · 1108 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 8
while total + v <= 96:
    if v % 5 != 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: (none extracted)

wrongcode.trace.nested-v1conf 100% · 735ms · $0.001 · 652 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 == 6 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 195

wrongcode.trace.js-v1conf 100% · 1.5s · $0.001 · 401 tok

question

What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 2)
  .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: 60

wrongcode.trace.nested-v1conf — · 670ms · $0.001 · 548 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.nested-v1conf — · 686ms · $0.002 · 1096 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.js-v1conf — · 750ms · $0.000 · 94 tok

question

Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.python-v1anchorconf — · 1.2s · $0.002 · 1052 tok

model answer: (none extracted)

wrongcode.trace.js-v1anchorconf 100% · 620ms · $0.001 · 446 tok

model answer: 119

wrongcode.trace.python-v1anchorconf — · 1.6s · $0.001 · 767 tok

model answer: (none extracted)

wrongcode.trace.nested-v1anchorconf 100% · 1.3s · $0.001 · 569 tok

model answer: 120

wrongcode.trace.nested-v1conf — · 934ms · $0.003 · 1714 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, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.js-v1conf 100% · 1.1s · $0.002 · 1106 tok

question

What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 119

wrongcode.trace.python-v1conf — · 832ms · $0.003 · 1748 tok

question

What does this Python program print?

```python
total = 0
v = 15
while total + v <= 116:
    if v % 5 != 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: (none extracted)

TimeoutError: The operation was aborted due to timeoutcode.trace.python-v1conf — · — · — · — tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 66:
    if v % 5 != 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: (none extracted)

wrongcode.trace.js-v1conf 100% · 814ms · $0.001 · 543 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 90

wrongcode.trace.python-v1conf — · 789ms · $0.002 · 1423 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 8
while total + v <= 68:
    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: (none extracted)

wrongcode.trace.nested-v1conf 100% · 781ms · $0.001 · 731 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 20

wrongcode.trace.nested-v1conf 100% · 861ms · $0.001 · 734 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) % 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: 210

wrongcode.trace.js-v1conf — · 767ms · $0.000 · 217 tok

question

Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.python-v1conf — · 835ms · $0.001 · 772 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 58:
    if v % 7 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.js-v1conf 100% · 811ms · $0.001 · 265 tok

question

What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 35

TimeoutError: The operation was aborted due to timeoutcode.trace.python-v1conf — · — · — · — tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 103:
    if v % 3 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.nested-v1conf — · 767ms · $0.001 · 735 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.js-v1conf 100% · 1.0s · $0.001 · 529 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 % 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: 75

wrongcode.trace.nested-v1conf 100% · 852ms · $0.001 · 655 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 101

wrongcode.trace.python-v1conf — · 793ms · $0.000 · 95 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 13
while total + v <= 102:
    if v % 7 != 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: (none extracted)

wrongcode.trace.js-v1conf — · 820ms · $0.000 · 64 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.nested-v1conf — · 642ms · $0.003 · 1794 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

SyntaxError: Unexpected end of JSON inputcode.trace.python-v1conf — · — · — · — tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 8
while total + v <= 43:
    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: (none extracted)

wrongcode.trace.js-v1conf — · 857ms · $0.001 · 332 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.nested-v1conf 100% · 754ms · $0.002 · 965 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 636

wrongcode.trace.nested-v1conf — · 757ms · $0.005 · 3151 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.nested-v1conf — · 758ms · $0.001 · 822 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongcode.trace.js-v1conf 100% · 740ms · $0.001 · 295 tok

question

What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 120

wrongcode.trace.python-v1conf — · 719ms · $0.001 · 703 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 11
while total + v <= 77:
    if v % 7 != 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: (none extracted)

wrongcode.trace.js-v1conf 100% · 724ms · $0.001 · 424 tok

question

What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 168

wrongcode.trace.python-v1anchorconf 100% · 717ms · $0.001 · 832 tok

model answer: 90

wrongcode.trace.js-v1anchorconf 100% · 706ms · $0.001 · 469 tok

model answer: 119

wrongcode.trace.nested-v1anchorconf 100% · 656ms · $0.001 · 569 tok

model answer: 120

wrongcode.trace.python-v1anchorconf — · 924ms · $0.000 · 154 tok

model answer: (none extracted)

instruction following 10/60 correct

TimeoutError: The operation was aborted due to timeoutif.format.repeat-v1conf — · — · — · — tok

question

Write the word "nova" 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: (none extracted)

wrongif.constraints.stack-v1conf 100% · 795ms · $0.000 · 210 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "lumen" and the last word must be "basalt".
3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

lumen glints off basalt, echo off stone walls. darkness swallows the city. echo of voices from taverns, echo of wheels on cobblestone, fade into silence. shadows dance in the corners, whispering secrets to the wind.

TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "tundra" and the last word must be "nova".
3. Use the word "basalt" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.acronym-v1conf — · 841ms · $0.000 · 14 tok

question

Take the second letter of each of these words, in order: zephyr, drift, cedar, ember, 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: (none extracted)

wrongif.constraints.stack-v1conf — · 655ms · $0.000 · 70 tok

question

Write in English about the sea, 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 "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.acronym-v1conf 100% · 865ms · $0.000 · 51 tok

question

Take the first letter of each of these words, in order: tundra, zephyr, drift, flint, comet, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: TUNDRAZEPHYRDRIFTFLINTCOMETDELTA

correctif.format.repeat-v1conf 100% · 569ms · $0.000 · 27 tok

question

Write the word "echo" in uppercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ECHO_ECHO_ECHO

wrongif.constraints.stack-v1conf — · 878ms · $0.000 · 18 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "basalt" and the last word must be "orbit".
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: (none extracted)

wrongif.format.acronym-v1conf — · 797ms · $0.000 · 48 tok

question

Take the first letter of each of these words, in order: quartz, basalt, echo, flint, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 830ms · $0.000 · 23 tok

question

Write the word "delta" in lowercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: delta/delta/delta/delta/delta

TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "flint" and the last word must be "prism".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.constraints.stack-v1conf 100% · 606ms · $0.001 · 775 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "zephyr" and the last word must be "quartz".
3. Use the word "prism" 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:

A zephyr of wind ruffled my hair as i set forth on my journey through the desert. the sun beat down on my head, making me grateful for the wide-brimmed hat i wore. in the distance, i could see the shimmering heat rising off the sand. it was a daunting task, but i was determined to make it to the other side. as i walked, the heat seemed to shimmer and dance before my eyes, creating mirages in the distance. i focused on the path ahead, watching for any sign of life amidst the barren landscape. after what felt like hours, i came across a small rock formation that provided some shade. i decided to take a break and rest in the cool respite it offered. as i sat, i noticed a colorful array of minerals embedded in the rocks - prisms of quartz catching the sunlight and refracting it into a dazzling display of colors. it was a welcome distraction from the monotony of my journey. after a short while, i continued on my way, the memory of the beautiful sight sustaining me as i trudged through the sand. the day wore on, and the sun began to set, casting long shadows across the desert. i hurried to find a place to camp for the night, not wanting to risk wandering in the dark. i found a small ravine that offered some protection from the wind and made myself a bed among the loose sand. as i lay there, i gazed up at the stars peeking through the sky, each one a tiny prismatic reflection of the universe. despite the hardships of the day, i felt a sense of accomplishment. i had made it this far, and i knew that each step brought me closer to my destination. with a contented sigh, i drifted off to sleep, the sound of the wind whispering through the ravine like a gentle zephyr.

wrongif.format.acronym-v1conf 100% · 592ms · $0.000 · 28 tok

question

Take the second letter of each of these words, in order: quartz, orbit, prism, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: OQPN

wrongif.format.repeat-v1conf 100% · 906ms · $0.000 · 49 tok

question

Write the word "orbit" in capitalized 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: ORBITORBITORBITORBITORBITORBITORBITORBIT

wrongif.format.acronym-v1conf — · 886ms · $0.000 · 21 tok

question

Take the third letter of each of these words, in order: tundra, echo, flint, orbit, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 771ms · $0.000 · 31 tok

question

Write the word "orbit" in uppercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ORBIT-ORBIT-ORBIT

wrongif.constraints.stack-v1conf 100% · 872ms · $0.000 · 85 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "tundra" and the last word must be "cedar".
3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: tundra zephyr tumbled over the old cedar

wrongif.format.acronym-v1conf — · 572ms · $0.000 · 61 tok

question

Take the second letter of each of these words, in order: basalt, zephyr, quartz, ember, prism, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: <your final answer only>

wrongif.format.repeat-v1conf 100% · 869ms · $0.000 · 47 tok

question

Write the word "drift" in uppercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT

wrongif.format.repeat-v1conf 100% · 907ms · $0.001 · 694 tok

question

Write the word "cedar" in lowercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: <your final answer only>

wrongif.format.acronym-v1conf — · 1.3s · $0.000 · 23 tok

question

Take the first letter of each of these words, in order: tundra, prism, cedar, nova, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.repeat-v1conf — · 800ms · $0.000 · 25 tok

question

Write the word "flint" in lowercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.constraints.stack-v1conf — · 867ms · $0.000 · 21 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "echo" and the last word must be "zephyr".
3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.acronym-v1conf — · 908ms · $0.000 · 251 tok

question

Take the third letter of each of these words, in order: lumen, cedar, ember, prism, 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: (none extracted)

wrongif.constraints.stack-v1anchorconf 100% · 826ms · $0.001 · 342 tok

model answer: (none extracted)

wrongif.constraints.stack-v1conf — · 546ms · $0.000 · 10 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "comet" and the last word must be "falcon".
3. Use the word "quartz" 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: (none extracted)

wrongif.format.acronym-v1conf — · 792ms · $0.000 · 15 tok

question

Take the second letter of each of these words, in order: zephyr, orbit, ember, falcon, tundra, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1anchorconf 100% · 1.1s · $0.000 · 47 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

wrongif.format.acronym-v1anchorconf — · 809ms · $0.000 · 39 tok

model answer: (none extracted)

wrongif.format.repeat-v1anchorconf — · 807ms · $0.000 · 11 tok

model answer: (none extracted)

wrongif.constraints.stack-v1conf 100% · 505ms · $0.003 · 1937 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "falcon" and the last word must be "zephyr".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: falcon prism prism zephyr

TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "ember" and the last word must be "lumen".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.acronym-v1conf — · 826ms · $0.000 · 35 tok

question

Take the third letter of each of these words, in order: quartz, basalt, ember, flint, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.constraints.stack-v1conf 100% · 892ms · $0.000 · 136 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "delta" and the last word must be "quartz".
3. Use the word "flint" 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: delta flint flint flint quartz

correctif.format.repeat-v1conf 100% · 789ms · $0.000 · 21 tok

question

Write the word "comet" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: comet_comet_comet_comet

wrongif.format.acronym-v1conf — · 876ms · $0.000 · 34 tok

question

Take the first letter of each of these words, in order: prism, echo, delta, ember, drift, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 876ms · $0.000 · 27 tok

question

Write the word "tundra" in lowercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: tundra-tundra-tundra

wrongif.constraints.stack-v1conf 100% · 878ms · $0.000 · 42 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "delta" and the last word must be "quartz".
3. Use the word "flint" 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: (none extracted)

wrongif.format.acronym-v1conf — · 547ms · $0.000 · 15 tok

question

Take the third letter of each of these words, in order: comet, quartz, ember, zephyr, lumen, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 834ms · $0.000 · 18 tok

question

Write the word "echo" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: echo_echo_echo_echo

wrongif.constraints.stack-v1conf — · 583ms · $0.000 · 5 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "prism" and the last word must be "delta".
3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.acronym-v1conf — · 885ms · $0.000 · 20 tok

question

Take the first letter of each of these words, in order: lumen, delta, ember, drift, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 857ms · $0.000 · 28 tok

question

Write the word "basalt" 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: BASALT/BASALT/BASALT/BASALT/BASALT

wrongif.constraints.stack-v1conf 100% · 1.2s · $0.001 · 330 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "echo" and the last word must be "drift".
3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

echo the city's heartbeat slows to a nocturnal rhythm, its pulse echoing in the quietude. falcon-like dreams drift through the urban expanse, soaring above the concrete jungle. falcon-eyed observers watch as the city transforms, its neon lights casting a different kind of shadow. falcon-hearted wanderers find solace in the echoes of their own thoughts, as the city whispers its own lullaby. the city's pulse resonates with a different kind of energy, one that embraces the tranquility of the night and allows the mind to wander, creating new pathways in the vast expanse of the urban landscape.

wrongif.format.acronym-v1conf — · 853ms · $0.000 · 37 tok

question

Take the first letter of each of these words, in order: nova, prism, zephyr, cedar, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

TimeoutError: The operation was aborted due to timeoutif.format.repeat-v1conf — · — · — · — tok

question

Write the word "zephyr" in lowercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.repeat-v1conf — · 927ms · $0.000 · 23 tok

question

Write the word "delta" in capitalized 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: (none extracted)

TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "tundra" and the last word must be "ember".
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: (none extracted)

TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "comet" and the last word must be "quartz".
3. Use the word "nova" 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: (none extracted)

wrongif.format.acronym-v1conf — · 808ms · $0.000 · 63 tok

question

Take the first letter of each of these words, in order: basalt, tundra, quartz, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.repeat-v1conf 100% · 789ms · $0.000 · 55 tok

question

Write the word "orbit" in uppercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT

wrongif.constraints.stack-v1conf 100% · 792ms · $0.001 · 250 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "basalt" and the last word must be "flint".
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: basalt tundra tundra flint

wrongif.format.acronym-v1conf — · 767ms · $0.000 · 40 tok

question

Take the first letter of each of these words, in order: quartz, zephyr, tundra, comet, prism, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongif.format.acronym-v1conf — · 848ms · $0.000 · 41 tok

question

Take the third letter of each of these words, in order: zephyr, echo, orbit, ember, tundra, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 558ms · $0.000 · 34 tok

question

Write the word "prism" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM

wrongif.constraints.stack-v1anchorconf 100% · 836ms · $0.001 · 342 tok

model answer: (none extracted)

wrongif.format.acronym-v1conf — · 832ms · $0.000 · 36 tok

question

Take the first letter of each of these words, in order: quartz, ember, drift, orbit, lumen, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctif.format.repeat-v1anchorconf 100% · 807ms · $0.000 · 47 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

wrongif.format.acronym-v1anchorconf — · 837ms · $0.000 · 39 tok

model answer: (none extracted)

wrongif.format.repeat-v1anchorconf — · 836ms · $0.000 · 11 tok

model answer: (none extracted)

knowledge 43/60 correct

wrongknowledge.fr.factbank-v2conf — · 848ms · $0.000 · 19 tok

question

Identify 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: (none extracted)

wrongknowledge.fr.factbank-v2conf — · 801ms · $0.000 · 21 tok

question

What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 825ms · $0.000 · 17 tok

question

What is the capital of Canada?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ottawa

wrongknowledge.fr.factbank-v2conf — · 556ms · $0.000 · 12 tok

question

Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 848ms · $0.000 · 15 tok

question

Name the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 822ms · $0.000 · 24 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: Astana

correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 16 tok

question

What is the element whose symbol is K?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 988ms · $0.000 · 17 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: Ankara

correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 33 tok

question

Name the author of "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mikhail Bulgakov

wrongknowledge.fr.factbank-v2conf — · 782ms · $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: (none extracted)

wrongknowledge.fr.factbank-v2conf — · 945ms · $0.000 · 20 tok

question

What is the writer of the novel "Snow Country"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongknowledge.fr.factbank-v2conf — · 603ms · $0.000 · 7 tok

question

Name 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: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 859ms · $0.000 · 15 tok

question

Name the element whose symbol is Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Lead

wrongknowledge.fr.factbank-v2conf — · 904ms · $0.000 · 21 tok

question

Name the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 844ms · $0.000 · 24 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: Astana

wrongknowledge.fr.factbank-v2conf 100% · 747ms · $0.000 · 19 tok

question

Identify the capital of Myanmar.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Yangon

correctknowledge.fr.factbank-v2conf 100% · 939ms · $0.000 · 15 tok

question

What is the element whose symbol is Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 863ms · $0.000 · 15 tok

question

Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 956ms · $0.000 · 15 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: Lead

correctknowledge.fr.factbank-v2conf 100% · 887ms · $0.000 · 24 tok

question

What is the capital of Nigeria?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 895ms · $0.000 · 17 tok

question

Identify the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

wrongknowledge.fr.factbank-v2conf — · 894ms · $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: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 847ms · $0.000 · 24 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: Astana

correctknowledge.fr.factbank-v2conf 100% · 927ms · $0.000 · 25 tok

question

Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 870ms · $0.000 · 17 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: Ankara

wrongknowledge.fr.factbank-v2conf — · 939ms · $0.000 · 21 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: (none extracted)

correctknowledge.fr.factbank-v2anchorconf 100% · 1.0s · $0.000 · 28 tok

model answer: mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 883ms · $0.000 · 17 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 979ms · $0.000 · 16 tok

model answer: Antimony

correctknowledge.fr.factbank-v2anchorconf 100% · 980ms · $0.000 · 15 tok

model answer: Lead

TimeoutError: The operation was aborted due to timeoutknowledge.fr.factbank-v2conf — · — · — · — 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: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 931ms · $0.000 · 24 tok

question

Identify 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: Astana

wrongknowledge.fr.factbank-v2conf — · 1.5s · $0.000 · 12 tok

question

Identify the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 886ms · $0.000 · 16 tok

question

What is the chemical element with symbol K?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 847ms · $0.000 · 25 tok

question

Identify the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: mercury

correctknowledge.fr.factbank-v2conf 100% · 856ms · $0.000 · 25 tok

question

Name the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 851ms · $0.000 · 17 tok

question

What is the capital of Australia?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 564ms · $0.000 · 17 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: Ankara

correctknowledge.fr.factbank-v2conf 100% · 550ms · $0.000 · 17 tok

question

Identify the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 536ms · $0.000 · 15 tok

question

What is the chemical element with symbol Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tin

wrongknowledge.fr.factbank-v2conf — · 845ms · $0.000 · 21 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: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 837ms · $0.000 · 25 tok

question

What is the author of "One Hundred Years of Solitude"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 819ms · $0.000 · 16 tok

question

Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 625ms · $0.000 · 25 tok

question

What is the Kazakh capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Astana

wrongknowledge.fr.factbank-v2conf — · 926ms · $0.000 · 21 tok

question

What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 884ms · $0.000 · 25 tok

question

Name 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: Abuja

wrongknowledge.fr.factbank-v2conf 100% · 954ms · $0.000 · 21 tok

question

Name 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: Rangoon

correctknowledge.fr.factbank-v2conf 100% · 643ms · $0.000 · 17 tok

question

Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tungsten

wrongknowledge.fr.factbank-v2conf — · 1.0s · $0.000 · 13 tok

question

Identify the element whose symbol is W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.000 · 15 tok

question

Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 886ms · $0.000 · 15 tok

question

Name the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mercury

wrongknowledge.fr.factbank-v2conf — · 877ms · $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: (none extracted)

correctknowledge.fr.factbank-v2conf 100% · 839ms · $0.000 · 25 tok

question

Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 598ms · $0.000 · 17 tok

question

Identify the capital of Australia.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 528ms · $0.000 · 15 tok

question

Name the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mercury

correctknowledge.fr.factbank-v2conf 100% · 946ms · $0.000 · 16 tok

question

What is the chemical element with symbol K?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Potassium

correctknowledge.fr.factbank-v2anchorconf 100% · 853ms · $0.000 · 28 tok

model answer: mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 557ms · $0.000 · 17 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 831ms · $0.000 · 16 tok

model answer: Antimony

correctknowledge.fr.factbank-v2anchorconf 100% · 831ms · $0.000 · 15 tok

model answer: Lead

math 1/60 correct

wrongmath.chained.pipeline-v1conf — · 673ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 47 × 42.
Step 2: Q = P × 5 − 360.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.percent.chain-v2conf — · 998ms · $0.000 · 215 tok

question

An inventory starts at 74000 units. Each pallet weighs about 117 grams more when wet. In the first month the inventory grows by 12%. The warehouse was painted 79 years ago. The next month it shrinks by 38%, 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: (none extracted)

wrongmath.counterfactual.base-v1conf — · 957ms · $0.000 · 12 tok

question

Work strictly in base 13. Add the base-13 numbers 1436 and 252. Give the result IN BASE 13 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.algebra.system-v2conf 100% · 626ms · $0.000 · 210 tok

question

Solve the system, then answer the derived question.

8x + 3y = 166
5x − 4y = 139

What is the value of 3x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 76.251

wrongmath.arith.chain-v2conf 100% · 737ms · $0.000 · 111 tok

question

Compute the value of the following expression.

(((53 × 48 − 724) × 8 + 3366) − 20 × 37) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 18210

wrongmath.chained.pipeline-v1conf — · 720ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 25 × 60.
Step 2: Q = P × 4 − 833.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.counterfactual.base-v1conf — · 1.1s · $0.000 · 12 tok

question

Work strictly in base 13. Add the base-13 numbers 1002 and AC4. Give the result IN BASE 13 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.percent.chain-v2conf — · 882ms · $0.000 · 11 tok

question

An inventory starts at 86000 units. The company was founded 103 kilometers from the port. In the first month the inventory grows by 10%. The delivery van has a 32-liter fuel tank. The next month it shrinks by 41%, 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: (none extracted)

wrongmath.algebra.system-v2conf — · 715ms · $0.000 · 135 tok

question

Solve the system, then answer the derived question.

2x + 2y = 92
5x − 6y = -177

What is the value of 5x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctmath.algebra.system-v2conf 100% · 948ms · $0.001 · 446 tok

question

Solve the system, then answer the derived question.

2x + 6y = -176
3x − 7y = 376

What is the value of 4x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 288

wrongmath.arith.chain-v2conf 100% · 724ms · $0.000 · 104 tok

question

Calculate the following. Show your reasoning, then answer.

(((95 × 54 − 275) × 8 + 2926) − 56 × 85) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 35140

wrongmath.chained.pipeline-v1conf — · 581ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 49 × 16.
Step 2: Q = P × 4 − 627.
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: (none extracted)

wrongmath.counterfactual.base-v1conf 100% · 738ms · $0.000 · 61 tok

question

Work strictly in base 9. Add the base-9 numbers 2151 and 2005. 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: 4256

wrongmath.percent.chain-v2conf — · 724ms · $0.000 · 11 tok

question

An inventory starts at 92000 units. The warehouse was painted 29 years ago. In the first month the inventory grows by 11%. The warehouse was painted 79 years ago. The next month it shrinks by 24%, and the month after it grows by 16%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.arith.chain-v2conf 100% · 725ms · $0.000 · 99 tok

question

Evaluate the expression below and give the result.

(((95 × 83 − 782) × 9 + 3222) − 51 × 12) × 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: 293908

wrongmath.algebra.system-v2conf 100% · 727ms · $0.001 · 311 tok

question

Solve the system, then answer the derived question.

9x + 4y = -315
4x − 5y = 43

What is the value of 5x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -201

wrongmath.chained.pipeline-v1conf — · 721ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 31 × 47.
Step 2: Q = P × 9 − 190.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.counterfactual.base-v1conf 100% · 711ms · $0.000 · 89 tok

question

Work strictly in base 8. Multiply the base-8 numbers 126 and 75. 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: 0x6c60

wrongmath.algebra.system-v2conf 100% · 753ms · $0.001 · 383 tok

question

Solve the system, then answer the derived question.

7x + 4y = 279
7x − 7y = 147

What is the value of 3x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -102

wrongmath.percent.chain-v2conf — · 1.1s · $0.000 · 8 tok

question

An inventory starts at 52000 units. The company was founded 95 kilometers from the port. In the first month the inventory grows by 44%. The company was founded 115 kilometers from the port. The next month it shrinks by 35%, and the month after it grows by 45%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.arith.chain-v2conf 100% · 745ms · $0.000 · 100 tok

question

Calculate the following. Show your reasoning, then answer.

(((63 × 42 − 429) × 9 + 3352) − 63 × 15) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 21162

wrongmath.chained.pipeline-v1conf — · 757ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 39 × 30.
Step 2: Q = P × 6 − 534.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.counterfactual.base-v1conf 100% · 760ms · $0.000 · 52 tok

question

Work strictly in base 9. Add the base-9 numbers 507 and 3606. 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: 8213

wrongmath.percent.chain-v2conf — · 808ms · $0.000 · 8 tok

question

An inventory starts at 98000 units. A rival firm shipped 52 unrelated parcels the same week. In the first month the inventory grows by 5%. A rival firm shipped 76 unrelated parcels the same week. The next month it shrinks by 28%, and the month after it grows by 45%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.arith.chain-v2conf 100% · 723ms · $0.000 · 101 tok

question

Compute the value of the following expression.

(((85 × 56 − 218) × 7 + 4618) − 86 × 13) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 8042

wrongmath.algebra.system-v2anchorconf 100% · 1.6s · $0.001 · 476 tok

model answer: 92.62935065...

wrongmath.chained.pipeline-v1conf — · 739ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 33 × 62.
Step 2: Q = P × 8 − 762.
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: (none extracted)

wrongmath.counterfactual.base-v1anchorconf 100% · 1.0s · $0.000 · 63 tok

model answer: 12606_7

wrongmath.percent.chain-v2anchorconf 100% · 682ms · $0.001 · 247 tok

model answer: 60933

wrongmath.arith.chain-v2anchorconf 100% · 1.6s · $0.000 · 54 tok

model answer: 249249

TimeoutError: The operation was aborted due to timeoutmath.counterfactual.base-v1conf — · — · — · — tok

question

Work strictly in base 8. Multiply the base-8 numbers 26 and 22. 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: (none extracted)

wrongmath.percent.chain-v2conf — · 834ms · $0.002 · 1014 tok

question

An inventory starts at 86000 units. The warehouse was painted 76 years ago. In the first month the inventory grows by 33%. A rival firm shipped 138 unrelated parcels the same week. The next month it shrinks by 35%, and the month after it grows by 37%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.counterfactual.base-v1conf 100% · 808ms · $0.000 · 254 tok

question

Work strictly in base 13. Multiply the base-13 numbers 1B and 12. 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: 22

wrongmath.chained.pipeline-v1conf — · 775ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 85 × 18.
Step 2: Q = P × 9 − 722.
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: (none extracted)

wrongmath.algebra.system-v2conf 100% · 720ms · $0.001 · 491 tok

question

Solve the system, then answer the derived question.

9x + 6y = -225
8x − 5y = -231

What is the value of 2x − 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: 64

wrongmath.counterfactual.base-v1conf 100% · 744ms · $0.001 · 565 tok

question

Work strictly in base 9. Add the base-9 numbers 3054 and 2501. 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: 5554

wrongmath.arith.chain-v2conf 100% · 793ms · $0.000 · 145 tok

question

Calculate the following. Show your reasoning, then answer.

(((66 × 80 − 688) × 6 + 6054) − 69 × 92) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 26643

wrongmath.algebra.system-v2conf 100% · 756ms · $0.001 · 360 tok

question

Solve the system, then answer the derived question.

9x + 5y = -409
2x − 5y = 13

What is the value of 3x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -322.6

wrongmath.chained.pipeline-v1conf — · 743ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 13 × 29.
Step 2: Q = P × 7 − 341.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.percent.chain-v2conf — · 766ms · $0.000 · 8 tok

question

An inventory starts at 7000 units. The delivery van has a 144-liter fuel tank. In the first month the inventory grows by 28%. The delivery van has a 108-liter fuel tank. The next month it shrinks by 23%, and the month after it grows by 9%. 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: (none extracted)

wrongmath.arith.chain-v2conf — · 732ms · $0.000 · 12 tok

question

Work out the exact value of this expression.

(((31 × 59 − 913) × 9 + 9810) − 20 × 34) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.chained.pipeline-v1conf — · 1.0s · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 53 × 44.
Step 2: Q = P × 9 − 530.
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: (none extracted)

wrongmath.percent.chain-v2conf — · 763ms · $0.001 · 418 tok

question

An inventory starts at 51000 units. Each pallet weighs about 74 grams more when wet. In the first month the inventory grows by 33%. The warehouse was painted 17 years ago. The next month it shrinks by 19%, and the month after it grows by 24%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.counterfactual.base-v1conf 100% · 781ms · $0.000 · 182 tok

question

Work strictly in base 8. Multiply the base-8 numbers 117 and 26. 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: 0o5320

wrongmath.algebra.system-v2conf 100% · 746ms · $0.000 · 216 tok

question

Solve the system, then answer the derived question.

4x + 9y = 455
4x − 7y = -169

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: 234

wrongmath.arith.chain-v2conf — · 691ms · $0.000 · 12 tok

question

Work out the exact value of this expression.

(((62 × 90 − 697) × 7 + 9181) − 42 × 46) × 5

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.counterfactual.base-v1conf 100% · 731ms · $0.000 · 199 tok

question

Work strictly in base 8. Multiply the base-8 numbers 40 and 27. 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: 4050

wrongmath.chained.pipeline-v1conf — · 744ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 30 × 22.
Step 2: Q = P × 5 − 769.
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: (none extracted)

wrongmath.algebra.system-v2conf 100% · 740ms · $0.001 · 342 tok

question

Solve the system, then answer the derived question.

6x + 5y = -26
5x − 2y = -219

What is the value of 2x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -60

wrongmath.percent.chain-v2conf — · 754ms · $0.000 · 11 tok

question

An inventory starts at 19000 units. The warehouse was painted 36 years ago. In the first month the inventory grows by 11%. Each pallet weighs about 169 grams more when wet. The next month it shrinks by 37%, and the month after it grows by 22%. 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: (none extracted)

wrongmath.arith.chain-v2conf 100% · 735ms · $0.000 · 108 tok

question

Calculate the following. Show your reasoning, then answer.

(((95 × 78 − 251) × 4 + 5947) − 14 × 81) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 41286

wrongmath.algebra.system-v2conf 100% · 703ms · $0.001 · 671 tok

question

Solve the system, then answer the derived question.

5x + 7y = 222
9x − 6y = 102

What is the value of 2x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: \frac{129960}{1445}

wrongmath.chained.pipeline-v1conf — · 721ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 17 × 86.
Step 2: Q = P × 3 − 217.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.percent.chain-v2conf — · 743ms · $0.001 · 271 tok

question

An inventory starts at 57000 units. A rival firm shipped 52 unrelated parcels the same week. In the first month the inventory grows by 26%. Each pallet weighs about 30 grams more when wet. The next month it shrinks by 16%, and the month after it grows by 44%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.percent.chain-v2anchorconf — · 717ms · $0.001 · 740 tok

model answer: (none extracted)

wrongmath.arith.chain-v2conf — · 723ms · $0.000 · 12 tok

question

Work out the exact value of this expression.

(((67 × 37 − 860) × 6 + 1096) − 79 × 34) × 5

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmath.chained.pipeline-v1conf — · 750ms · $0.000 · 12 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 44 × 33.
Step 2: Q = P × 3 − 430.
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: (none extracted)

wrongmath.algebra.system-v2anchorconf 100% · 882ms · $0.001 · 481 tok

model answer: 92.6294

wrongmath.counterfactual.base-v1anchorconf 100% · 729ms · $0.000 · 63 tok

model answer: 12606_7

wrongmath.arith.chain-v2anchorconf 100% · 887ms · $0.000 · 54 tok

model answer: 249249

multilingual 11/60 correct

wrongmultilingual.wordnum-v1conf — · 913ms · $0.002 · 1172 tok

question

A number is written in French: « quatre cent cinquante-deux ». Another is written in Spanish: « doscientos 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: (none extracted)

wrongmultilingual.numword-v2conf — · 600ms · $0.000 · 22 tok

question

Compute 178 + 309, 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: (none extracted)

wrongmultilingual.numword-v2conf 100% · 888ms · $0.001 · 359 tok

question

Compute 495 + 159, 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: quinze cent soixante-quatorze

wrongmultilingual.wordnum-v1conf 100% · 582ms · $0.000 · 180 tok

question

A number is written in French: « cent cinquante-quatre ». Another is written in Spanish: « ochenta y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 20,500,066

wrongmultilingual.wordnum-v1conf — · 890ms · $0.001 · 428 tok

question

A number is written in French: « trois cent cinquante-huit ». Another is written in Spanish: « ochenta y siete ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmultilingual.wordnum-v1conf — · 895ms · $0.000 · 168 tok

question

A number is written in French: « sept cent soixante-treize ». Another is written in Spanish: « cuatrocientos 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: (none extracted)

wrongmultilingual.numword-v2conf — · 924ms · $0.000 · 18 tok

question

Compute 264 + 276, 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: (none extracted)

wrongmultilingual.numword-v2conf 100% · 908ms · $0.000 · 181 tok

question

Compute 426 + 313, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: sept cent quatre-vingt-dix-neuf

wrongmultilingual.wordnum-v1conf — · 583ms · $0.000 · 86 tok

question

A number is written in French: « cinq cent trente-cinq ». Another is written in Spanish: « ochocientos ochenta y tres ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmultilingual.wordnum-v1conf 100% · 864ms · $0.001 · 271 tok

question

A number is written in French: « neuf cent quatorze ». Another is written in Spanish: « cuatrocientos treinta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1,448

wrongmultilingual.numword-v2conf — · 1.0s · $0.000 · 18 tok

question

Compute 361 + 329, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmultilingual.wordnum-v1conf — · 872ms · $0.000 · 18 tok

question

A number is written in French: « deux cent soixante-seize ». Another is written in Spanish: « cincuenta 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: (none extracted)

wrongmultilingual.numword-v2conf — · 885ms · $0.000 · 6 tok

question

Compute 290 + 241, 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: (none extracted)

wrongmultilingual.numword-v2conf 100% · 891ms · $0.000 · 231 tok

question

Compute 426 + 326, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: setecientos noventa y dos

correctmultilingual.wordnum-v1conf 100% · 854ms · $0.000 · 191 tok

question

A number is written in French: « deux cent quarante-deux ». Another is written in Spanish: « ochocientos noventa 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: 1138

wrongmultilingual.numword-v2conf — · 917ms · $0.000 · 164 tok

question

Compute 475 + 290, 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: (none extracted)

wrongmultilingual.wordnum-v1conf 100% · 866ms · $0.001 · 279 tok

question

A number is written in French: « cinq cent soixante-cinq ». Another is written in Spanish: « novecientos veintidós ». 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: 95,000,008

wrongmultilingual.numword-v2conf — · 930ms · $0.000 · 195 tok

question

Compute 55 + 134, 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: (none extracted)

wrongmultilingual.numword-v2conf 100% · 846ms · $0.000 · 221 tok

question

Compute 284 + 312, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cinq cent quatre-vingt-dix-neuf

wrongmultilingual.wordnum-v1conf — · 842ms · $0.000 · 28 tok

question

A number is written in French: « cent quarante-six ». Another is written in Spanish: « novecientos treinta ». 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: (none extracted)

wrongmultilingual.numword-v2conf — · 821ms · $0.000 · 258 tok

question

Compute 389 + 309, 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: (none extracted)

correctmultilingual.wordnum-v1conf 100% · 1.2s · $0.000 · 128 tok

question

A number is written in French: « cent ». Another is written in Spanish: « ciento 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: -6

wrongmultilingual.wordnum-v1conf 100% · 843ms · $0.000 · 136 tok

question

A number is written in French: « neuf cent soixante ». Another is written in Spanish: « ochocientos cincuenta ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1100

wrongmultilingual.wordnum-v1conf 100% · 963ms · $0.000 · 228 tok

question

A number is written in French: « trois cent vingt-sept ». Another is written in Spanish: « trescientos 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: 390

wrongmultilingual.numword-v2conf 100% · 855ms · $0.000 · 62 tok

question

Compute 433 + 213, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: six cent soixante et quarante-six

correctmultilingual.wordnum-v1anchorconf 100% · 833ms · $0.001 · 381 tok

model answer: 762

wrongmultilingual.numword-v2conf — · 878ms · $0.000 · 22 tok

question

Compute 196 + 250, 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: (none extracted)

correctmultilingual.wordnum-v1anchorconf 100% · 878ms · $0.000 · 212 tok

model answer: 150

wrongmultilingual.numword-v2anchorconf — · 642ms · $0.000 · 174 tok

model answer: (none extracted)

wrongmultilingual.numword-v2anchorconf — · 830ms · $0.000 · 18 tok

model answer: (none extracted)

wrongmultilingual.wordnum-v1conf 100% · 817ms · $0.002 · 1051 tok

question

A number is written in French: « cent six ». Another is written in Spanish: « novecientos sesenta 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: 1064

wrongmultilingual.wordnum-v1conf — · 824ms · $0.000 · 44 tok

question

A number is written in French: « six cent quatre-vingt-cinq ». Another is written in Spanish: « doscientos once ». 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: (none extracted)

wrongmultilingual.numword-v2conf 100% · 770ms · $0.000 · 254 tok

question

Compute 162 + 251, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: trois cent douze treize

wrongmultilingual.numword-v2conf — · 846ms · $0.000 · 65 tok

question

Compute 357 + 442, 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: (none extracted)

wrongmultilingual.wordnum-v1conf — · 836ms · $0.000 · 11 tok

question

A number is written in French: « cent trois ». Another is written in Spanish: « ochocientos 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: (none extracted)

wrongmultilingual.numword-v2conf 100% · 776ms · $0.001 · 380 tok

question

Compute 448 + 99, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: quatre cent quarante-sept

wrongmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 240 tok

question

A number is written in French: « quatre cent soixante-six ». Another is written in Spanish: « setecientos sesenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 866

correctmultilingual.wordnum-v1conf 100% · 781ms · $0.000 · 148 tok

question

A number is written in French: « cent dix-sept ». Another is written in Spanish: « ochocientos 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: 988.

wrongmultilingual.numword-v2conf — · 807ms · $0.000 · 18 tok

question

Compute 173 + 139, 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: (none extracted)

correctmultilingual.wordnum-v1conf 100% · 809ms · $0.000 · 179 tok

question

A number is written in French: « quatre cents ». Another is written in Spanish: « quinientos sesenta 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: 968

wrongmultilingual.numword-v2conf — · 947ms · $0.000 · 20 tok

question

Compute 308 + 388, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongmultilingual.numword-v2conf — · 834ms · $0.002 · 1192 tok

question

Compute 430 + 195, 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: (none extracted)

correctmultilingual.numword-v2conf 100% · 544ms · $0.000 · 228 tok

question

Compute 345 + 354, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: six cent quatre-vingt-dix-neuf

wrongmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 182 tok

question

A number is written in French: « cinq cent cinq ». Another is written in Spanish: « seiscientos sesenta y dos ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 94

wrongmultilingual.numword-v2conf — · 788ms · $0.000 · 8 tok

question

Compute 364 + 210, 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: (none extracted)

wrongmultilingual.numword-v2conf 100% · 775ms · $0.000 · 190 tok

question

Compute 384 + 269, 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: soixante-dix mille huit cent quatre-vingt

wrongmultilingual.wordnum-v1conf — · 780ms · $0.000 · 11 tok

question

A number is written in French: « cent trente ». Another is written in Spanish: « seiscientos treinta 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: (none extracted)

wrongmultilingual.wordnum-v1conf 100% · 777ms · $0.000 · 148 tok

question

A number is written in French: « deux cent vingt-quatre ». Another is written in Spanish: « setecientos 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: -476

wrongmultilingual.numword-v2conf 100% · 835ms · $0.000 · 162 tok

question

Compute 410 + 300, 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: Deux mille sept cent dix (2 700,10)

wrongmultilingual.wordnum-v1conf 100% · 842ms · $0.000 · 106 tok

question

A number is written in French: « cinq cent cinquante-cinq ». Another is written in Spanish: « noventa 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: 645

wrongmultilingual.wordnum-v1conf 100% · 853ms · $0.000 · 195 tok

question

A number is written in French: « quatre cent vingt-sept ». Another is written in Spanish: « trescientos cincuenta 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: 354

correctmultilingual.wordnum-v1conf 100% · 849ms · $0.001 · 319 tok

question

A number is written in French: « deux cent soixante-quatre ». Another is written in Spanish: « treinta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 299

correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 236 tok

question

Compute 462 + 397, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: huit cent cinquante-neuf

correctmultilingual.wordnum-v1conf 100% · 639ms · $0.001 · 276 tok

question

A number is written in French: « neuf cent douze ». Another is written in Spanish: « ochenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 995

correctmultilingual.numword-v2conf 100% · 870ms · $0.001 · 341 tok

question

Compute 434 + 74, 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 huit

wrongmultilingual.numword-v2conf 100% · 931ms · $0.000 · 102 tok

question

Compute 182 + 133, 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: deux cent quinze

wrongmultilingual.wordnum-v1anchorconf 100% · 811ms · $0.001 · 425 tok

model answer: 767

wrongmultilingual.wordnum-v1anchorconf 100% · 546ms · $0.000 · 198 tok

model answer: 39,900

wrongmultilingual.numword-v2anchorconf — · 786ms · $0.000 · 174 tok

model answer: (none extracted)

wrongmultilingual.numword-v2anchorconf — · 810ms · $0.000 · 18 tok

model answer: (none extracted)

reasoning 12/60 correct

wrongreasoning.deduction.order-v2conf 100% · 749ms · $0.001 · 605 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Ola. Alice is faster than Jonas. Jonas is faster than Ola. Mona is faster than Ola. Tessa is faster than Alice. Dara is older than everyone here, but Dara is not being ranked. Bruno is faster than Mona. Jonas is faster than Mona. Bruno is faster than Rosa. Rosa is faster than Tessa. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mona

correctreasoning.deduction.position-v1conf 100% · 843ms · $0.000 · 150 tok

question

Four people stand in a queue (number 1 is the front). Kira is directly ahead of Rosa. Rosa is number 3 in the queue. Nadir is directly ahead of Kira. 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: Nadir

wrongreasoning.deduction.position-v1conf 100% · 533ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Alice is number 2 in the queue. Ines is directly ahead of Alice. Priya is directly ahead of Liam. 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: Liam

wrongreasoning.deduction.order-v2conf 100% · 736ms · $0.000 · 16 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Alice is faster than Kira. Ines is faster than Quinn. Goran is faster than Liam. Kira is faster than Ines. Alice is faster than Ines. Liam is faster than Quinn. Tessa is faster than Goran. Sami is taller than everyone here, but Sami is not being ranked. Liam is faster than Alice. Kira is faster than Quinn. 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: Goran

wrongreasoning.deduction.order-v2conf 100% · 802ms · $0.000 · 17 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Quinn. Priya is taller than Hana. Alice is older than everyone here, but Alice is not being ranked. Ines is taller than Tessa. Emil is taller than Priya. Quinn is taller than Tessa. Tessa is taller than Hana. Mona is taller than Emil. Mona is taller than Hana. Quinn is taller than Ines. 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: Emil

wrongreasoning.deduction.position-v1conf 100% · 1.2s · $0.000 · 11 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Alice. Mona is directly ahead of Hana. Alice is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongreasoning.deduction.order-v2conf 100% · 1.3s · $0.001 · 447 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Hana. Alice is older than Bruno. Hana is older than Bruno. Quinn is older than Ola. Ola is older than Alice. Alice is older than Ines. Tessa is taller than everyone here, but Tessa is not being ranked. Alice is older than Jonas. Alice is older than Jonas. Bruno is older than Jonas. 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: Ola

wrongreasoning.deduction.order-v2conf 100% · 737ms · $0.000 · 17 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Emil. Nadir is faster than Farah. Kira is faster than Farah. Sami is faster than Kira. Emil is faster than Nadir. Chen is older than everyone here, but Chen is not being ranked. Farah is faster than Hana. Dara is faster than Sami. Nadir is faster than Hana. Dara is faster than Nadir. 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: Emil

correctreasoning.deduction.position-v1conf 100% · 774ms · $0.000 · 27 tok

question

Four people stand in a queue (number 1 is the front). Liam is directly ahead of Priya. Goran is number 4 in the queue. Ines is directly ahead of Goran. Priya is directly ahead of Ines. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Goran

wrongreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 19 tok

question

Four people stand in a queue (number 1 is the front). Sami is directly ahead of Kira. Tessa is directly ahead of Sami. Kira is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Kira

wrongreasoning.deduction.order-v2conf 100% · 747ms · $0.000 · 17 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Mona. Farah is heavier than everyone here, but Farah is not being ranked. Sami is taller than Hana. Sami is taller than Ola. Liam is taller than Ola. Alice is taller than Liam. Mona is taller than Alice. Liam is taller than Sami. Ola is taller than Hana. Sami is taller than Hana. 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: Mona

wrongreasoning.deduction.position-v1conf 100% · 729ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Emil is directly ahead of Tessa. Quinn is number 2 in the queue. Rosa is directly ahead of Quinn. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Emil

wrongreasoning.deduction.order-v2conf — · 753ms · $0.000 · 6 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Chen. Kira is taller than Alice. Ola is taller than Liam. Ola is taller than Ines. Ines is taller than Liam. Rosa is heavier than everyone here, but Rosa is not being ranked. Chen is taller than Ines. Chen is taller than Bruno. Alice is taller than Ola. Bruno is taller than Ola. 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: (none extracted)

wrongreasoning.deduction.position-v1conf 100% · 1.0s · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Emil. Sami is directly ahead of Nadir. Emil is number 3 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Emil

wrongreasoning.deduction.order-v2conf 100% · 752ms · $0.000 · 17 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is heavier than Liam. Quinn is older than everyone here, but Quinn is not being ranked. Bruno is heavier than Liam. Nadir is heavier than Kira. Bruno is heavier than Nadir. Ines is heavier than Kira. Liam is heavier than Ines. Kira is heavier than Emil. Hana is heavier than Bruno. Bruno is heavier than Emil. 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: Emil

correctreasoning.deduction.position-v1conf 100% · 618ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Rosa is number 3 in the queue. Kira is directly ahead of Rosa. Jonas 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: Rosa

wrongreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 19 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Nadir. Dara is older than Ines. Bruno is older than Nadir. Dara is older than Ola. Nadir is older than Tessa. Priya is faster than everyone here, but Priya is not being ranked. Rosa is older than Bruno. Ines is older than Rosa. Bruno is older than Ola. Tessa is older than Ola. 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: Nadir

wrongreasoning.deduction.position-v1conf 100% · 776ms · $0.000 · 11 tok

question

Four people stand in a queue (number 1 is the front). Nadir is number 3 in the queue. Mona is directly ahead of Nadir. Farah is directly ahead of Mona. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongreasoning.deduction.order-v2conf 100% · 1.1s · $0.001 · 485 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Bruno. Tessa is faster than Bruno. Jonas is faster than Quinn. Mona is faster than Liam. Quinn is faster than Kira. Alice is heavier than everyone here, but Alice is not being ranked. Bruno is faster than Mona. Bruno is faster than Liam. Kira is faster than Tessa. Tessa is faster than Mona. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tessa

wrongreasoning.deduction.position-v1conf — · 731ms · $0.000 · 6 tok

question

Four people stand in a queue (number 1 is the front). Sami is number 3 in the queue. Farah is directly ahead of Sami. Dara is directly ahead of Farah. 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: (none extracted)

wrongreasoning.deduction.order-v2conf 100% · 752ms · $0.000 · 17 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Mona. Priya is heavier than Sami. Rosa is faster than everyone here, but Rosa is not being ranked. Priya is heavier than Mona. Mona is heavier than Sami. Liam is heavier than Ola. Priya is heavier than Mona. Priya is heavier than Liam. Sami is heavier than Hana. Hana is heavier than Alice. 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: Mona

wrongreasoning.deduction.position-v1conf 100% · 1.4s · $0.000 · 16 tok

question

Four people stand in a queue (number 1 is the front). Nadir is number 4 in the queue. Goran is directly ahead of Nadir. Bruno is directly ahead of Goran. Emil is directly ahead of Bruno. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Goran

wrongreasoning.deduction.position-v1conf 100% · 728ms · $0.000 · 15 tok

question

Four people stand in a queue (number 1 is the front). Farah is number 2 in the queue. Rosa is directly ahead of Alice. Goran is directly ahead of Farah. 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: Rosa

wrongreasoning.deduction.order-v2conf 100% · 749ms · $0.000 · 17 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is taller than everyone here, but Jonas is not being ranked. Hana is heavier than Ola. Nadir is heavier than Ola. Ola is heavier than Priya. Hana is heavier than Nadir. Emil is heavier than Hana. Hana is heavier than Farah. Tessa is heavier than Emil. Farah is heavier than Nadir. Farah is heavier than Priya. 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: Emil

wrongreasoning.deduction.position-v1conf 100% · 734ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Priya is directly ahead of Mona. Mona is directly ahead of Ola. Emil is number 1 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mona

correctreasoning.deduction.order-v2conf 100% · 777ms · $0.000 · 17 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Nadir is taller than Tessa. Chen is taller than Tessa. Emil is taller than Kira. Kira is taller than Tessa. Goran is taller than Nadir. Rosa is taller than Kira. Nadir is taller than Emil. Kira is taller than Chen. Ola is faster than everyone here, but Ola is not being ranked. Emil is taller than Rosa. 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: Emil

wrongreasoning.deduction.order-v2anchorconf — · 705ms · $0.000 · 65 tok

model answer: (none extracted)

wrongreasoning.deduction.position-v1anchorconf 100% · 850ms · $0.000 · 17 tok

model answer: Emil

wrongreasoning.deduction.position-v1anchorconf 100% · 927ms · $0.000 · 13 tok

model answer: (none extracted)

correctreasoning.deduction.order-v2anchorconf 100% · 921ms · $0.000 · 17 tok

model answer: Mona

wrongreasoning.deduction.order-v2conf 100% · 817ms · $0.000 · 17 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is heavier than Emil. Quinn is older than everyone here, but Quinn is not being ranked. Priya is heavier than Emil. Hana is heavier than Priya. Rosa is heavier than Alice. Rosa is heavier than Priya. Sami is heavier than Hana. Alice is heavier than Priya. Chen is heavier than Rosa. Hana is heavier than Chen. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Emil

wrongreasoning.deduction.position-v1conf 100% · 812ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Sami is directly ahead of Bruno. Quinn is directly ahead of Emil. Bruno is directly ahead of Quinn. Emil 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: Emil

correctreasoning.deduction.position-v1conf 100% · 730ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Mona is directly ahead of Priya. Kira is number 3 in the queue. Priya is directly ahead of Kira. 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: Mona

wrongreasoning.deduction.position-v1conf 100% · 772ms · $0.000 · 11 tok

question

Four people stand in a queue (number 1 is the front). Alice is directly ahead of Emil. Tessa is number 2 in the queue. Nadir is directly ahead of Tessa. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongreasoning.deduction.order-v2conf 100% · 771ms · $0.000 · 19 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Farah. Rosa is older than Bruno. Quinn is older than Sami. Bruno is older than Goran. Sami is older than Rosa. Rosa is older than Chen. Ines is faster than everyone here, but Ines is not being ranked. Sami is older than Bruno. Goran is older than Chen. Bruno is older than Chen. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Goran

correctreasoning.deduction.order-v2conf 100% · 786ms · $0.000 · 19 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Kira. Dara is faster than Nadir. Nadir is faster than Quinn. Jonas is faster than Quinn. Nadir is faster than Jonas. Bruno is older than everyone here, but Bruno is not being ranked. Ines is faster than Tessa. Kira is faster than Quinn. Jonas is faster than Quinn. Jonas is faster than Ines. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Kira

wrongreasoning.deduction.position-v1conf 100% · 1.0s · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Chen is directly ahead of Mona. Ines is directly ahead of Chen. Mona is directly ahead of Alice. Alice 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: Mona

wrongreasoning.deduction.order-v2conf 100% · 809ms · $0.000 · 17 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Sami is taller than everyone here, but Sami is not being ranked. Ines is faster than Hana. Rosa is faster than Priya. Rosa is faster than Emil. Priya is faster than Ines. Nadir is faster than Emil. Emil is faster than Hana. Emil is faster than Quinn. Quinn is faster than Ines. Priya is faster than Nadir. 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: Emil

wrongreasoning.deduction.position-v1conf — · 813ms · $0.000 · 40 tok

question

Four people stand in a queue (number 1 is the front). Liam is directly ahead of Ines. Ines is number 2 in the queue. Priya is directly ahead of Tessa. 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: (none extracted)

wrongreasoning.deduction.order-v2conf 100% · 801ms · $0.000 · 17 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Nadir is older than Priya. Quinn is older than Rosa. Rosa is older than Nadir. Quinn is older than Priya. Quinn is older than Emil. Goran is older than Quinn. Priya is older than Mona. Goran is older than Priya. Mona is older than Emil. Hana is taller than everyone here, but Hana is not being ranked. 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: Emil

correctreasoning.deduction.position-v1conf 100% · 773ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Farah is number 3 in the queue. Kira is directly ahead of Rosa. Rosa is directly ahead of Farah. 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: Rosa

correctreasoning.deduction.order-v2conf 100% · 783ms · $0.000 · 17 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Mona. Sami is faster than Chen. Kira is faster than Sami. Ines is faster than Kira. Mona is faster than Sami. Kira is faster than Alice. Alice is faster than Mona. Rosa is heavier than everyone here, but Rosa is not being ranked. Alice is faster than Chen. Goran is faster than Ines. 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: Mona

wrongreasoning.deduction.position-v1conf 100% · 782ms · $0.000 · 19 tok

question

Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Ola. Ines is directly ahead of Bruno. Farah is number 4 in the queue. Ola is directly ahead of Farah. 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: Ola

correctreasoning.deduction.order-v2conf 100% · 797ms · $0.000 · 19 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Hana. Tessa is faster than Priya. Jonas is faster than Ines. Farah is older than everyone here, but Farah is not being ranked. Priya is faster than Quinn. Goran is faster than Priya. Hana is faster than Tessa. Goran is faster than Quinn. Tessa is faster than Goran. Jonas is faster than Priya. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Hana

wrongreasoning.deduction.position-v1conf 100% · 790ms · $0.000 · 15 tok

question

Four people stand in a queue (number 1 is the front). Chen is number 3 in the queue. Quinn is directly ahead of Tessa. Tessa 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: Quinn

wrongreasoning.deduction.order-v2conf 100% · 544ms · $0.000 · 17 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Dara. Liam is taller than Kira. Chen is taller than Bruno. Dara is taller than Bruno. Tessa is older than everyone here, but Tessa is not being ranked. Dara is taller than Alice. Priya is taller than Alice. Kira is taller than Priya. Alice is taller than Chen. Kira is taller than Bruno. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Liam

wrongreasoning.deduction.position-v1conf 100% · 708ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Mona is directly ahead of Alice. Hana is number 2 in the queue. Jonas is directly ahead of Hana. 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: Mona

wrongreasoning.deduction.order-v2conf 100% · 782ms · $0.000 · 19 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Dara. Chen is heavier than Liam. Bruno is heavier than Dara. Dara is heavier than Alice. Jonas is older than everyone here, but Jonas is not being ranked. Bruno is heavier than Tessa. Tessa is heavier than Chen. Liam is heavier than Sami. Sami is heavier than Dara. Liam is heavier than Dara. 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: Dara

wrongreasoning.deduction.position-v1conf 100% · 779ms · $0.000 · 26 tok

question

Four people stand in a queue (number 1 is the front). Ola is directly ahead of Sami. Bruno is number 4 in the queue. Sami is directly ahead of Bruno. Dara is directly ahead of Ola. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Dara

wrongreasoning.deduction.order-v2conf 100% · 539ms · $0.000 · 14 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Kira. Ines is taller than Sami. Jonas is older than everyone here, but Jonas is not being ranked. Emil is taller than Goran. Nadir is taller than Sami. Kira is taller than Tessa. Tessa is taller than Nadir. Tessa is taller than Ines. Tessa is taller than Ines. Nadir is taller than Ines. 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: Sami

wrongreasoning.deduction.position-v1conf 100% · 782ms · $0.000 · 16 tok

question

Four people stand in a queue (number 1 is the front). Ola is number 2 in the queue. Dara is directly ahead of Ola. Quinn 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: Dara

wrongreasoning.deduction.order-v2conf 100% · 785ms · $0.000 · 19 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Ola. Farah is older than Ola. Ines is older than Goran. Goran is older than Alice. Quinn is older than Farah. Goran is older than Farah. Farah is older than Jonas. Jonas is older than Ola. Alice is older than Quinn. Nadir is faster than everyone here, but Nadir is not being ranked. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ola

correctreasoning.deduction.order-v2conf 100% · 811ms · $0.000 · 41 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Emil is faster than everyone here, but Emil is not being ranked. Nadir is older than Mona. Rosa is older than Bruno. Chen is older than Bruno. Quinn is older than Jonas. Jonas is older than Rosa. Bruno is older than Mona. Rosa is older than Chen. Bruno is older than Nadir. Jonas is older than Bruno. 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: Jonas

wrongreasoning.deduction.position-v1conf 100% · 811ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Mona. Chen is directly ahead of Rosa. Quinn is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mona

wrongreasoning.deduction.order-v2anchorconf — · 837ms · $0.000 · 65 tok

model answer: (none extracted)

wrongreasoning.deduction.position-v1conf 100% · 807ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Mona is directly ahead of Priya. Priya is number 4 in the queue. Alice is directly ahead of Tessa. Tessa is directly ahead of Mona. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mona

wrongreasoning.deduction.order-v2conf 100% · 764ms · $0.000 · 19 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Quinn is taller than Mona. Priya is taller than Mona. Tessa is taller than Priya. Sami is older than everyone here, but Sami is not being ranked. Mona is taller than Jonas. Jonas is taller than Farah. Nadir is taller than Farah. Jonas is taller than Nadir. Mona is taller than Nadir. Priya is taller than Quinn. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Farah

wrongreasoning.deduction.position-v1anchorconf 100% · 819ms · $0.000 · 17 tok

model answer: Emil

wrongreasoning.deduction.position-v1anchorconf 100% · 811ms · $0.000 · 13 tok

model answer: (none extracted)

correctreasoning.deduction.order-v2anchorconf 100% · 810ms · $0.000 · 17 tok

model answer: Mona

terminal 3/60 correct

wrongterminal.exit.chain-v1conf — · 864ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
Z
exit:1

wrongterminal.fs.tree-v1conf — · 650ms · $0.000 · 28 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/build`):

```
/proj/assets/setup.md
/proj/build/util.txt
/proj/notes.cfg
/proj/report.txt
/proj/src/todo.txt
```

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

```sh
mv build/util.txt build/index-8.txt
touch assets/report-4.log
mkdir -p src/conf-5
cp build/index-8.txt src/
mkdir -p build/build-1
cd build
mkdir -p ../../proj/assets/build-7
cd build-1
mv ../../../proj/assets/setup.md ../../../proj/build/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/index-8.txt
/proj/assets/report-4.log
/proj/build/setup.md

wrongterminal.pipeline.predict-v1conf 100% · 888ms · $0.000 · 20 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,legal,97,53
pam,sales,37,95
gus,sales,110,10
lou,eng,25,87
max,ops,58,89
ivy,eng,53,29
cy,ops,10,24
oli,ops,64,79
fay,eng,36,13
dev,sales,96,70
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 79 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongterminal.fs.tree-v1conf — · 861ms · $0.000 · 33 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/src`):

```
/proj/assets/report.cfg
/proj/docs/draft.cfg
/proj/docs/util.txt
/proj/index.cfg
/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
rm assets/report.cfg
mv index.cfg ./
rm docs/draft.cfg
touch setup-3.log
mv index.cfg setup-4.txt
cd docs
touch index-2.cfg
cd ../../proj/src
mv ../../proj/setup-3.log ../../proj/report-6.cfg
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/report-6.cfg
/proj/setup-4.txt
/proj/todo.cfg
/proj/src/index-2.cfg

correctterminal.exit.chain-v1conf 100% · 840ms · $0.000 · 27 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
E
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 924ms · $0.000 · 20 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,ops,84,11
eli,eng,56,20
hal,eng,29,47
oli,legal,83,90
kim,hr,7,93
gus,hr,22,66
lou,ops,66,93
dev,ops,19,55
ivy,hr,27,43
ana,eng,54,14
bo,ops,120,48
cy,sales,55,76
fay,eng,25,46
max,ops,52,19
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

cy
fay

wrongterminal.exit.chain-v1conf — · 886ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
Z
exit:1

wrongterminal.fs.tree-v1conf — · 627ms · $0.000 · 40 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/docs`):

```
/proj/docs/notes.txt
/proj/draft.cfg
/proj/report.md
/proj/src/todo.md
/proj/src/util.txt
```

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

```sh
cp report.md build/
mv docs/notes.txt docs/draft-1.txt
mkdir -p assets-8
rm docs/draft-1.txt
mkdir -p docs/src-1
cp src/todo.md build/
mv draft.cfg main-6.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/report.md
/proj/build/todo.md
/proj/docs/src-1/todo.md
/proj/main-6.txt
/proj/assets-8

wrongterminal.pipeline.predict-v1conf — · 892ms · $0.000 · 33 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,legal,29,90
fay,hr,37,47
ned,eng,14,43
oli,ops,108,12
dev,eng,98,37
jon,eng,48,16
eli,eng,71,89
ivy,eng,116,23
pam,sales,46,50
gus,legal,107,66
kim,legal,48,77
bo,legal,84,76
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 565ms · $0.000 · 27 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
E
Z
exit:0

wrongterminal.fs.tree-v1conf — · 972ms · $0.000 · 29 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/logs`):

```
/proj/draft.cfg
/proj/logs/notes.cfg
/proj/logs/setup.log
/proj/logs/todo.md
/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 logs/todo.md logs/setup-5.cfg
mv report.md setup-4.log
rm logs/notes.cfg
cp setup-4.log assets/
mv setup-4.log draft-9.txt
rm logs/setup-5.cfg
mkdir -p logs/conf-4
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/assets/setup-4.log
/proj/draft-9.txt
/proj/logs/conf-4

wrongterminal.pipeline.predict-v1conf — · 1.0s · $0.000 · 32 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,eng,37,70
jon,legal,11,17
gus,ops,62,71
oli,hr,81,55
max,ops,16,20
ned,sales,46,16
eli,hr,56,52
kim,legal,94,25
bo,hr,70,21
lou,ops,68,14
fay,sales,27,36
ivy,sales,16,80
cy,sales,87,44
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: grep -F ',sales,' people.csv | awk -F, '{ s += $3 } END { print s }

wrongterminal.exit.chain-v1conf 100% · 942ms · $0.000 · 29 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
E
G
Z
exit:0

wrongterminal.fs.tree-v1conf — · 567ms · $0.000 · 33 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/docs`, `/proj/build`):

```
/proj/docs/main.txt
/proj/docs/todo.txt
/proj/docs/util.cfg
/proj/index.cfg
/proj/report.txt
```

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

```sh
mv docs/main.txt build/
rm report.txt
cd logs
mv ../../proj/build/main.txt ./
cd ../../proj
rm index.cfg
touch docs/draft-1.md
cp logs/main.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/docs/draft-1.md
/proj/docs/todo.txt
/proj/docs/util.cfg
/proj/logs/main.txt

wrongterminal.pipeline.predict-v1conf 100% · 679ms · $0.000 · 21 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,24,49
jon,sales,20,77
bo,eng,90,76
hal,sales,78,22
ivy,hr,3,32
gus,eng,3,20
kim,eng,101,89
lou,sales,78,19
ned,legal,67,69
ana,eng,42,12
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

kim
bo
kim

wrongterminal.exit.chain-v1conf — · 782ms · $0.000 · 22 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
F
H
Z
exit:1

wrongterminal.pipeline.predict-v1conf 100% · 863ms · $0.000 · 43 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,hr,114,93
kim,ops,79,32
max,ops,89,34
fay,hr,95,12
ana,sales,25,60
ivy,ops,77,83
gus,hr,99,27
oli,eng,62,58
bo,hr,79,10
eli,hr,40,63
lou,eng,9,90
hal,ops,118,42
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

$ grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
62

wrongterminal.fs.tree-v1conf — · 688ms · $0.000 · 25 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/docs`, `/proj/build`):

```
/proj/build/draft.md
/proj/build/index.md
/proj/docs/notes.cfg
/proj/main.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
cp build/draft.md ./
mkdir -p src-3
cd src-3
touch ../../proj/build/draft-9.md
cp ../../proj/docs/notes.cfg ../../proj/src/
mv ../../proj/draft.md ../../proj/src/
cd ../../proj/build
rm index.md
rm ../../proj/src/notes.cfg
cd ../../proj/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-9.md
/proj/main.log
/proj/todo.md

wrongterminal.exit.chain-v1conf 100% · 765ms · $0.000 · 27 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
E
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 1.0s · $0.000 · 24 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/conf`):

```
/proj/build/index.cfg
/proj/build/notes.md
/proj/docs/util.cfg
/proj/draft.cfg
/proj/todo.txt
```

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

```sh
cp build/index.cfg conf/
touch build/main-9.cfg
mkdir -p assets-8
rm docs/util.cfg
rm build/main-9.cfg
cd build
mv ../../proj/draft.cfg ../../proj/assets-8/
rm index.cfg
cd .
rm ../../proj/assets-8/draft.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/conf/index.cfg
/proj/todo.txt

wrongterminal.pipeline.predict-v1conf 100% · 840ms · $0.000 · 19 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,sales,38,54
oli,hr,22,89
eli,ops,80,93
gus,eng,60,36
kim,hr,53,66
max,ops,55,16
dev,sales,74,75
ana,legal,13,28
fay,eng,114,34
ivy,hr,22,11
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

eli
max

wrongterminal.fs.tree-v1conf — · 1.0s · $0.000 · 42 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/conf`, `/proj/docs`):

```
/proj/conf/draft.cfg
/proj/conf/main.txt
/proj/notes.cfg
/proj/report.md
/proj/src/util.txt
```

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

```sh
cp conf/main.txt ./
mv conf/main.txt ./
touch src/main-3.cfg
cd docs
mkdir -p ../../proj/src/conf-5
rm ../../proj/notes.cfg
touch ../../proj/src/conf-5/index-1.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/conf/main.txt
/proj/report.md
/proj/src/main-3.cfg
/proj/src/util.txt
/proj/src/conf-5/index-1.md

wrongterminal.exit.chain-v1conf 100% · 912ms · $0.000 · 29 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f data.txt && echo A || echo B
true && echo C || echo D
false && 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:

B
C
F
G
Z
exit:1

wrongterminal.pipeline.predict-v1conf — · 877ms · $0.000 · 12 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,eng,56,87
hal,eng,53,44
ivy,hr,114,71
ned,eng,94,64
oli,legal,115,95
gus,sales,54,17
eli,ops,89,52
jon,ops,75,15
dev,sales,48,83
fay,hr,60,74
pam,legal,69,22
lou,legal,30,97
kim,legal,9,33
cy,ops,115,73
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

eli
cy

wrongterminal.fs.tree-v1conf — · 1.0s · $0.000 · 38 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/logs`):

```
/proj/assets/index.cfg
/proj/build/draft.txt
/proj/build/todo.md
/proj/report.log
/proj/util.cfg
```

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

```sh
cd build
mkdir -p ../../proj/logs/assets-6
mkdir -p ../../proj/logs/build-6
touch ../../proj/assets/setup-8.log
cd ../../proj
touch build/todo-2.md
mkdir -p assets/build-3
mkdir -p logs/docs-5
rm build/todo-2.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/index.cfg
/proj/assets/setup-8.log
/proj/build/logs/build-6
/proj/report.log
/proj/util.cfg

wrongterminal.exit.chain-v1conf — · 771ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
Z
exit:1

wrongterminal.pipeline.predict-v1anchorconf 100% · 833ms · $0.000 · 38 tok

model answer: (none extracted)

wrongterminal.exit.chain-v1anchorconf — · 868ms · $0.000 · 22 tok

model answer:

B
D
E
G
Z
exit:1

wrongterminal.fs.tree-v1anchorconf — · 1.4s · $0.000 · 35 tok

model answer:

/proj/build-4/todo-4.md
/proj/build/logs-8/setup-8.md
/proj/docs/report-8.cfg

wrongterminal.pipeline.predict-v1anchorconf 100% · 1.0s · $0.000 · 17 tok

model answer: 2

wrongterminal.fs.tree-v1conf — · 871ms · $0.000 · 48 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/src`):

```
/proj/conf/main.txt
/proj/conf/setup.txt
/proj/docs/index.cfg
/proj/draft.md
/proj/notes.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 conf/setup.txt conf/
touch src/main-4.log
mkdir -p docs/assets-5
touch src/index-3.log
cd docs/assets-5
mv ../../../proj/draft.md ../../../proj/report-1.txt
rm ../../../proj/src/main-4.log
mv ../../../proj/conf/setup.txt ../../../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/docs/index.cfg
/proj/docs/report-1.txt
/proj/docs/assets-5/draft.md
/proj/conf/main.txt
/proj/conf/setup.txt
/proj/notes.cfg

correctterminal.exit.chain-v1conf 100% · 924ms · $0.000 · 29 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
true && echo C || echo D
grep -q amber notes.txt && echo E || echo F
grep -q coral notes.txt && echo G || echo H
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
C
E
G
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 600ms · $0.000 · 16 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,hr,88,38
hal,eng,111,58
lou,legal,100,45
fay,ops,8,51
cy,hr,93,81
gus,eng,72,28
eli,eng,102,64
pam,ops,107,65
ned,sales,104,64
kim,ops,108,81
bo,hr,96,87
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongterminal.fs.tree-v1conf — · 650ms · $0.000 · 53 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/conf`):

```
/proj/build/draft.txt
/proj/build/setup.log
/proj/build/util.cfg
/proj/index.log
/proj/main.cfg
```

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

```sh
touch conf/draft-2.txt
cd conf
rm ../../proj/build/util.cfg
cd .
touch ../../proj/logs/util-5.md
cd ../../proj/build
mkdir -p ../../proj/conf/conf-4
mv ../../proj/main.cfg ../../proj/util-8.cfg
cd ../../proj/logs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/draft.txt
/proj/build/setup.log
/proj/conf/draft-2.txt
/proj/conf/conf-4/main.cfg
/proj/conf/util-8.cfg
/proj/logs/util-5.md

wrongterminal.exit.chain-v1conf — · 586ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
E
D
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 909ms · $0.000 · 19 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,ops,80,51
lou,sales,71,34
pam,eng,100,39
jon,sales,74,35
hal,hr,98,11
oli,eng,16,74
ned,ops,22,41
bo,ops,48,99
cy,legal,90,70
ivy,eng,33,93
dev,legal,107,11
gus,eng,74,67
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

dev
cy

wrongterminal.exit.chain-v1conf — · 920ms · $0.000 · 33 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
test -f app.txt && echo C || echo D
grep -q basil 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:

B
D
E
H
sh: test: ghost.txt: No such file or directory
exit:1

wrongterminal.fs.tree-v1conf — · 872ms · $0.000 · 45 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/build`):

```
/proj/assets/setup.cfg
/proj/logs/main.txt
/proj/logs/notes.log
/proj/report.cfg
/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
touch assets/main-3.log
touch assets/report-3.log
cd build
touch ../../proj/logs/main-2.txt
rm ../../proj/logs/main-2.txt
mv ../../proj/util.cfg ../../proj/
cd ../../proj
cp logs/notes.log ./
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/assets/main-3.log
/proj/assets/report-3.log
/proj/logs/main.txt
/proj/logs/notes.log
/proj/report.cfg
/proj/util.cfg

wrongterminal.pipeline.predict-v1conf 100% · 883ms · $0.000 · 17 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,eng,87,28
kim,eng,75,70
oli,hr,63,28
ana,eng,99,76
hal,sales,82,43
dev,ops,117,62
gus,ops,97,99
ned,eng,76,87
lou,eng,83,37
eli,legal,106,94
bo,eng,96,71
max,legal,116,24
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 61 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1

wrongterminal.exit.chain-v1conf 100% · 848ms · $0.000 · 27 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
grep -q coral 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:

B
C
D
D
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 939ms · $0.000 · 31 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,hr,75,75
max,legal,94,28
ned,sales,17,59
ivy,ops,70,98
pam,ops,54,25
bo,hr,3,54
jon,sales,5,70
gus,legal,93,80
cy,sales,120,54
lou,legal,33,99
oli,eng,39,56
```

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: (none extracted)

wrongterminal.fs.tree-v1conf — · 629ms · $0.000 · 25 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/logs`):

```
/proj/build/draft.md
/proj/index.txt
/proj/logs/notes.md
/proj/logs/todo.log
/proj/report.log
```

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

```sh
rm build/draft.md
cd .
rm logs/notes.md
touch build/todo-7.cfg
touch logs/todo-1.log
cd build
mv ../../proj/index.txt ../../proj/util-1.log
cd ../../proj
mkdir -p conf-8
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/todo-7.cfg
/proj/conf-8
/proj/report.log

wrongterminal.exit.chain-v1conf — · 858ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
F
E
Z
exit:0

wrongterminal.fs.tree-v1conf — · 1.2s · $0.000 · 38 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/logs`):

```
/proj/assets/notes.log
/proj/assets/setup.cfg
/proj/conf/todo.md
/proj/main.md
/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
cp assets/notes.log ./
rm notes.log
cp conf/todo.md assets/
mkdir -p logs/src-7
cd logs
mkdir -p ../../proj/docs-7
touch ../../proj/conf/index-2.cfg
cd ../../proj
rm assets/setup.cfg
mkdir -p assets/assets-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/todo.md
/proj/conf/index-2.cfg
/proj/docs-7/main.md
/proj/logs/src-7/notes.log

wrongterminal.pipeline.predict-v1conf 100% · 834ms · $0.000 · 30 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,hr,101,23
ana,ops,26,23
ned,eng,55,97
pam,legal,110,29
fay,ops,54,31
lou,ops,17,50
hal,ops,67,33
cy,legal,55,89
kim,ops,117,60
eli,hr,40,63
bo,ops,26,84
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

wrongterminal.fs.tree-v1conf — · 854ms · $0.000 · 50 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/build/draft.log
/proj/build/report.txt
/proj/conf/index.txt
/proj/notes.cfg
/proj/setup.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 main-3.cfg
cd docs
cp ../../proj/notes.cfg ../../proj/conf/
cd ../../proj/build
touch ../../proj/conf/setup-8.md
mv report.txt ./
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/draft.log
/proj/build/index.txt
/proj/build/main-3.cfg
/proj/build/report.txt
/proj/conf/index.txt
/proj/notes.cfg
/proj/setup.log

wrongterminal.exit.chain-v1conf 100% · 884ms · $0.000 · 27 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
grep -q dune notes.txt && echo C || echo D
false && 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:

A
C
G
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 573ms · $0.000 · 17 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,sales,31,91
ivy,sales,51,48
hal,sales,66,82
bo,sales,40,54
lou,hr,22,45
ana,ops,18,65
jon,sales,38,99
gus,eng,101,55
max,ops,112,77
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 2

wrongterminal.exit.chain-v1conf 100% · 547ms · $0.000 · 27 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
true && echo A || echo B
test -f tmp.txt && echo C || echo D
test -f tmp.txt && echo E || echo F
test -f data.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
C
E
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 897ms · $0.000 · 31 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,ops,33,63
ana,hr,67,71
cy,hr,22,63
gus,eng,10,92
dev,ops,96,48
kim,sales,42,95
bo,legal,120,69
ned,hr,101,65
oli,ops,66,88
hal,ops,108,81
pam,ops,34,98
max,hr,35,55
```

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:

dev,ops,96,48
oli,ops,66,88

wrongterminal.fs.tree-v1conf 100% · 696ms · $0.000 · 21 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/src`):

```
/proj/docs/notes.txt
/proj/index.log
/proj/logs/setup.md
/proj/logs/todo.md
/proj/main.cfg
```

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

```sh
rm main.cfg
rm docs/notes.txt
cd docs
cp ../../proj/logs/setup.md ../../proj/src/
touch ../../proj/draft-7.md
rm ../../proj/index.log
rm ../../proj/logs/todo.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/draft-7.md

wrongterminal.exit.chain-v1conf — · 851ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
H
exit:1

wrongterminal.fs.tree-v1conf — · 889ms · $0.000 · 54 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/docs`):

```
/proj/assets/setup.txt
/proj/build/util.log
/proj/docs/main.log
/proj/draft.txt
/proj/notes.cfg
```

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

```sh
rm docs/main.log
mv draft.txt index-5.cfg
touch assets/draft-2.md
cd build
mkdir -p ../../proj/conf-9
touch ../../proj/main-8.txt
cp util.log ../../proj/docs/
touch ../../proj/docs/draft-7.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/assets/setup.txt
/proj/build/util.log
/proj/docs/main.log
/proj/draft.txt
/proj/notes.cfg
/proj/conf-9/main-8.txt
/proj/conf-9/util.log

correctterminal.pipeline.predict-v1conf 100% · 897ms · $0.000 · 17 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,legal,75,57
ned,ops,5,62
hal,ops,72,36
eli,eng,61,29
ivy,ops,27,25
ana,ops,5,19
fay,ops,86,82
oli,hr,10,56
gus,hr,33,77
max,sales,108,46
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 56 { 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: 2

wrongterminal.fs.tree-v1conf — · 874ms · $0.000 · 54 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`):

```
/proj/build/notes.md
/proj/build/report.log
/proj/logs/todo.cfg
/proj/main.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
mkdir -p src/conf-6
mv logs/todo.cfg logs/notes-8.md
touch build/index-3.cfg
mkdir -p src/build-4
mv build/notes.md build/setup-2.log
cp main.txt src/conf-6/
mv build/setup-2.log build/index-1.md
rm build/report.log
cd src
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/index-3.cfg
/proj/build/index-1.md
/proj/main.txt
/proj/util.cfg
/src/conf-6/main.txt
/src/conf-6/todo.cfg
/src/build-4/notes.md

wrongterminal.exit.chain-v1conf 100% · 634ms · $0.000 · 29 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
F
G
Z
exit:0

wrongterminal.pipeline.predict-v1anchorconf 100% · 643ms · $0.000 · 38 tok

model answer: (none extracted)

wrongterminal.exit.chain-v1anchorconf — · 904ms · $0.000 · 22 tok

model answer:

B
D
E
G
Z
exit:1

wrongterminal.fs.tree-v1anchorconf — · 891ms · $0.000 · 35 tok

model answer:

/proj/build-4/todo-4.md
/proj/build/logs-8/setup-8.md
/proj/docs/report-8.cfg

wrongterminal.pipeline.predict-v1anchorconf 100% · 890ms · $0.000 · 17 tok

model answer: 2

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AAionLabs: Aion-RP 1.0 (8B)

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Per-domain scores

Every answer, every test

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AionLabs: Aion-RP 1.0 (8B)