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Google: Gemma 4 31B
google/gemma-4-31b-it · google · context 262 144 · in $0.100/1M · out $0.340/1M
Global Index
736
95% CI [679–794] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 537 [440–634] | 0.371 | 0.72 | 0.57 | 0.000 | 306ms | $0.206 | |
| code | 798 [661–936] | 0.722 | 0.98 | 0.97 | 0.038 | 519ms | $0.219 | |
| knowledge | 710 [542–878] | 0.517 | 1.00 | 1.00 | 0.000 | 301ms | $0.014 | |
| math | 794 [633–955] | 0.666 | 0.98 | 0.97 | 0.000 | 376ms | $0.117 | |
| multilingual | 764 [603–925] | 0.661 | 1.00 | 0.97 | 0.038 | 137ms | $0.030 | |
| reasoning | 830 [672–987] | 0.716 | 1.00 | 1.00 | 0.000 | 438ms | $0.063 | |
| vision ocr | 721 [551–891] | 0.535 | 1.00 | 1.00 | 0.000 | 914ms | $0.062 |
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 17/30 correct
wrongagentic.tools.ledger-v1conf 100% · 334ms · $0.000 · 304 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: $462
- tango: $332
- lima: $537
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $219 from "tango" to "delta"
2. pay $302 from "tango" to "lima"
3. pay $321 from "delta" to "lima"
4. pay $410 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "delta",
"amount": 219
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 187
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "lima",
"amount": 302
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 321
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 140
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 410
}
}
]wrongagentic.tools.context-load-v1conf 100% · 522ms · $0.000 · 164 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 (137 records, format: id|customer|region|item|qty|status):
```
1474|harbor|south|sensor|55|paid
1377|fulton|north|pump|10|shipped
1535|fulton|east|cable|28|pending
1477|ionic|north|frame|80|pending
1396|cobalt|north|rotor|81|shipped
1211|ionic|west|frame|72|held
1189|harbor|east|gasket|94|held
1343|cobalt|south|gasket|48|held
1545|gale|east|panel|17|shipped
1029|fulton|east|rotor|19|shipped
1311|birch|west|valve|41|paid
1350|cobalt|west|panel|64|paid
1502|ember|north|rotor|33|held
1324|acme|west|valve|60|pending
1167|ember|west|panel|78|shipped
1169|ember|north|valve|37|paid
1354|gale|north|sensor|72|shipped
1094|dorian|west|pump|84|paid
1208|ember|south|rotor|11|shipped
1373|ionic|south|valve|82|pending
1491|ember|west|gasket|58|held
1297|fulton|west|cable|42|pending
1057|fulton|east|pump|64|paid
1359|juno|east|gasket|89|held
1145|ionic|south|valve|37|pending
1075|fulton|west|panel|52|pending
1472|dorian|west|valve|37|shipped
1473|cobalt|south|frame|95|pending
1229|harbor|south|panel|80|pending
1418|gale|north|rotor|68|shipped
1160|juno|west|valve|25|held
1120|birch|north|panel|26|held
1080|harbor|west|frame|12|shipped
1171|ember|south|panel|35|pending
1463|ionic|south|rotor|70|shipped
1027|fulton|east|gasket|99|pending
1272|birch|west|sensor|25|held
1454|birch|south|cable|82|pending
1539|dorian|east|pump|64|held
1176|ember|north|panel|40|shipped
1271|birch|west|gasket|66|paid
1516|fulton|south|sensor|38|held
1078|fulton|east|frame|69|shipped
1105|dorian|west|gasket|77|held
1437|acme|east|pump|40|held
1050|fulton|south|cable|30|pending
1061|fulton|east|panel|93|pending
1183|gale|south|pump|84|shipped
1313|acme|south|panel|76|held
1442|ember|north|gasket|36|pending
1224|cobalt|west|cable|97|held
1139|birch|south|gasket|89|shipped
1242|acme|north|rotor|36|paid
1333|birch|north|sensor|73|shipped
1430|ember|south|sensor|58|held
1239|harbor|east|rotor|52|held
1426|cobalt|north|frame|59|held
1071|fulton|east|rotor|79|shipped
1372|ionic|east|frame|90|shipped
1319|ember|south|gasket|98|held
1118|ember|east|pump|30|pending
1110|gale|east|pump|62|pending
1217|ionic|south|panel|94|pending
1303|ionic|south|frame|67|shipped
1458|birch|south|panel|57|pending
1419|birch|west|cable|55|shipped
1196|dorian|north|pump|96|held
1251|ionic|east|pump|79|paid
1255|birch|north|cable|96|pending
1222|ionic|south|panel|18|shipped
1403|dorian|west|cable|85|paid
1332|harbor|west|frame|66|held
1243|harbor|north|cable|83|held
1199|juno|west|rotor|74|held
1028|fulton|north|sensor|12|pending
1191|juno|south|frame|75|pending
1365|gale|north|gasket|31|paid
1284|juno|west|panel|39|paid
1411|acme|south|valve|87|shipped
1185|dorian|south|frame|72|paid
1518|cobalt|east|panel|47|pending
1440|harbor|north|frame|78|shipped
1102|dorian|east|frame|42|paid
1100|birch|east|gasket|64|paid
1383|fulton|east|frame|42|held
1250|ionic|south|valve|17|held
1282|acme|south|pump|52|held
1233|birch|south|panel|56|pending
1269|dorian|west|cable|55|pending
1515|juno|east|valve|45|pending
1496|dorian|north|rotor|83|held
1124|ionic|north|frame|55|paid
1511|ionic|east|pump|42|held
1131|dorian|north|frame|25|pending
1234|acme|south|valve|86|pending
1088|harbor|north|gasket|26|held
1401|acme|north|valve|64|paid
1084|dorian|east|frame|47|held
1036|fulton|east|pump|21|pending
1525|juno|south|valve|78|pending
1386|harbor|west|sensor|45|shipped
1408|acme|north|valve|83|paid
1153|dorian|south|gasket|28|paid
1394|dorian|west|pump|22|paid
1331|harbor|south|gasket|88|paid
1338|birch|east|rotor|87|shipped
1490|gale|east|valve|91|paid
1449|ember|west|valve|41|paid
1286|acme|south|valve|65|pending
1046|fulton|east|pump|62|pending
1536|juno|west|panel|49|held
1483|cobalt|south|frame|29|shipped
1389|fulton|north|valve|18|paid
1037|fulton|south|gasket|64|pending
1064|fulton|north|cable|94|pending
1202|fulton|south|rotor|60|paid
1466|dorian|west|gasket|40|shipped
1532|ember|north|cable|19|held
1112|ionic|north|frame|39|paid
1151|fulton|north|frame|24|paid
1143|dorian|north|cable|14|paid
1262|fulton|south|gasket|67|pending
1104|dorian|south|sensor|75|held
1132|fulton|south|cable|95|shipped
1042|fulton|east|panel|63|held
1446|fulton|south|rotor|18|shipped
1294|ember|south|rotor|61|paid
1279|ember|north|cable|28|paid
1210|cobalt|north|gasket|78|held
1149|juno|south|panel|58|shipped
1249|cobalt|north|rotor|16|paid
1201|harbor|west|valve|79|paid
1074|fulton|east|gasket|37|pending
1530|birch|south|gasket|89|held
1306|ember|east|valve|10|shipped
1507|acme|south|pump|84|held
1292|acme|north|cable|80|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "cancel_order", "args": {"order_id": 1036}},
{"tool": "restock", "args": {"item": "panel", "qty": 93}},
{"tool": "restock", "args": {"item": "gasket", "qty": 99}},
{"tool": "cancel_order", "args": {"order_id": 1046}},
{"tool": "cancel_order", "args": {"order_id": 1074}},
{"tool": "cancel_order", "args": {"order_id": 1535}}
]correctagentic.tools.triage-v1conf 100% · 341ms · $0.000 · 378 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 → silva
- data → okafor
- auth → rivera
INCIDENTS:
1. "refund double-charged" (category: payments, priority 5)
2. "dashboard shows stale numbers" (category: data, priority 8)
3. "locked out after 2FA change" (category: auth, priority 5)
4. "dashboard shows stale numbers" (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": "refund double-charged",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 8
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 8
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.deploy-v1conf 100% · 1.1s · $0.000 · 108 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, reports
- search: billing
- billing: (none)
- reports: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.ledger-v1conf 100% · 251ms · $0.000 · 249 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: $865
- echo: $170
- tango: $703
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $440 from "tango" to "echo"
2. pay $555 from "alpha" to "tango"
3. pay $184 from "alpha" to "echo"
4. pay $448 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:
[
S{
"tool": "transfer",
"args": {
"from": "tango",
"to": "echo",
"amount": 440
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "tango",
"amount": 555
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 124
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "echo",
"amount": 184
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "alpha",
"amount": 448
}
}
]correctagentic.tools.triage-v1conf 100% · 478ms · $0.000 · 289 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 → silva
- infra → novak
- data → tanaka
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
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": "SSO loop on login",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "tanaka"
}
}
]correctagentic.tools.deploy-v1conf 100% · 1.2s · $0.000 · 112 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)
- auth-svc: notifier
- gateway: notifier
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]wrongagentic.tools.context-load-v1conf 100% · 128ms · $0.001 · 143 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 (287 records, format: id|customer|region|item|qty|status):
```
2298|gale|east|panel|42|held
1397|gale|north|panel|17|paid
2058|ionic|west|cable|66|paid
2106|harbor|east|rotor|75|shipped
1387|gale|south|pump|76|shipped
2010|ember|south|sensor|63|shipped
2264|birch|east|gasket|58|paid
1997|acme|west|sensor|61|paid
1879|ember|east|cable|19|pending
1362|fulton|south|sensor|24|paid
1889|ionic|east|cable|62|paid
1491|harbor|west|sensor|63|pending
1696|ionic|west|gasket|59|held
1462|harbor|east|panel|31|paid
1535|acme|south|rotor|21|paid
1370|cobalt|north|panel|35|shipped
1700|acme|west|cable|71|shipped
1978|cobalt|south|panel|17|pending
1719|harbor|east|rotor|61|shipped
1792|cobalt|east|gasket|42|paid
2001|cobalt|north|frame|56|pending
1580|birch|north|pump|20|paid
1332|fulton|south|gasket|79|pending
2235|acme|north|gasket|59|held
2173|birch|south|panel|77|shipped
1268|acme|south|valve|79|held
1272|ionic|south|sensor|26|held
1222|fulton|north|frame|60|pending
2081|birch|west|cable|57|paid
1724|acme|west|panel|81|paid
1885|acme|north|panel|64|paid
1705|juno|south|panel|44|shipped
1635|cobalt|east|cable|10|shipped
1547|dorian|north|sensor|68|shipped
2152|juno|west|valve|56|shipped
1218|fulton|south|frame|71|pending
1748|fulton|east|valve|46|pending
1667|juno|north|gasket|54|pending
1681|cobalt|north|pump|61|shipped
2072|gale|south|panel|84|shipped
1494|ember|south|cable|40|paid
2113|ionic|east|pump|90|pending
1424|birch|east|sensor|18|shipped
1687|acme|east|sensor|64|held
1417|gale|east|panel|28|shipped
1456|ionic|west|valve|11|paid
1279|gale|east|rotor|87|shipped
1732|dorian|north|valve|30|paid
1518|juno|east|rotor|88|shipped
1401|fulton|east|sensor|34|shipped
1384|dorian|south|pump|23|paid
1741|harbor|north|sensor|57|paid
2283|gale|west|panel|10|shipped
1957|fulton|north|pump|26|pending
2268|acme|south|frame|81|paid
2228|gale|north|rotor|73|pending
1578|harbor|east|frame|68|held
1449|ionic|north|rotor|64|held
1431|juno|west|panel|29|held
1350|dorian|west|sensor|37|held
2221|dorian|north|panel|58|paid
2354|acme|west|frame|86|held
1906|gale|west|gasket|57|held
1317|acme|west|frame|56|pending
2040|ember|east|gasket|83|held
1515|ember|north|sensor|90|paid
1443|acme|north|gasket|92|paid
1377|gale|west|sensor|45|held
1973|acme|north|cable|51|pending
1357|harbor|north|gasket|26|shipped
1246|fulton|south|pump|90|pending
1702|cobalt|south|rotor|63|paid
1569|ember|south|pump|77|shipped
1785|birch|west|gasket|36|paid
2037|dorian|south|cable|32|paid
1296|ember|south|gasket|55|held
1321|harbor|west|valve|51|paid
2163|gale|east|rotor|13|paid
2296|birch|east|frame|43|held
2135|juno|east|frame|88|paid
1855|ember|west|panel|38|shipped
1528|ember|south|panel|93|shipped
2095|gale|west|frame|83|pending
1844|harbor|east|frame|84|held
1373|juno|north|frame|86|shipped
1782|harbor|north|panel|39|pending
2076|ionic|north|frame|99|pending
1621|birch|south|pump|25|paid
1382|birch|south|cable|79|paid
1822|fulton|east|rotor|94|paid
2084|ionic|east|sensor|16|shipped
2130|juno|east|frame|77|pending
1235|fulton|east|valve|44|pending
1690|dorian|east|sensor|53|paid
1566|gale|north|sensor|28|shipped
2245|gale|south|rotor|17|paid
2329|ember|west|panel|52|paid
1877|acme|north|sensor|83|paid
2323|ionic|south|cable|33|held
1983|cobalt|north|cable|65|shipped
1597|ionic|south|gasket|98|pending
1341|acme|south|gasket|92|pending
1229|fulton|south|cable|49|pending
2188|harbor|south|panel|14|held
1925|ember|west|frame|86|pending
1851|harbor|west|pump|31|shipped
1799|dorian|south|sensor|99|held
1659|dorian|west|frame|83|paid
1334|ionic|south|sensor|24|shipped
1587|ionic|south|rotor|98|shipped
1606|ionic|north|panel|64|shipped
1404|birch|south|sensor|24|pending
1608|acme|west|cable|86|held
1575|fulton|north|gasket|42|shipped
1473|birch|west|cable|88|pending
1839|dorian|east|sensor|37|shipped
2178|dorian|east|sensor|98|paid
1736|ionic|north|sensor|83|shipped
2101|ember|east|pump|48|pending
1999|ionic|north|cable|13|shipped
1803|fulton|south|rotor|29|paid
1930|harbor|west|rotor|66|held
2026|cobalt|east|panel|18|paid
1665|harbor|east|frame|82|held
1571|cobalt|east|gasket|37|held
1831|ember|north|gasket|55|paid
1458|juno|north|cable|31|pending
1540|birch|north|cable|46|pending
1410|juno|east|sensor|96|shipped
1938|fulton|west|sensor|57|held
1976|gale|north|valve|26|paid
2185|gale|south|valve|22|paid
2194|juno|west|pump|81|held
1712|dorian|east|sensor|42|pending
1790|acme|north|gasket|82|held
1941|ember|south|valve|77|paid
1820|harbor|south|cable|98|held
2110|dorian|east|cable|64|paid
1284|harbor|east|pump|30|paid
1464|harbor|east|valve|11|held
2351|ember|north|gasket|13|paid
1292|dorian|west|sensor|18|paid
2091|gale|north|sensor|20|paid
1325|birch|south|cable|24|pending
2029|harbor|south|gasket|76|pending
2131|cobalt|east|frame|50|pending
1553|birch|north|valve|85|paid
2123|dorian|west|gasket|27|held
1360|harbor|north|rotor|63|paid
1617|birch|north|panel|14|shipped
1395|fulton|east|pump|42|pending
1775|fulton|south|frame|45|held
2321|acme|west|valve|16|held
1760|harbor|east|cable|61|held
1309|dorian|west|gasket|21|paid
1339|fulton|east|rotor|51|paid
1442|ionic|south|panel|89|pending
1486|harbor|west|cable|71|pending
2239|acme|south|pump|65|shipped
2023|acme|north|pump|86|held
1557|ember|west|gasket|60|shipped
2303|harbor|west|cable|78|shipped
1651|birch|north|frame|80|shipped
1753|ember|north|valve|20|paid
2295|juno|north|gasket|49|paid
2309|ember|west|sensor|58|pending
1223|fulton|south|pump|37|shipped
2279|ember|west|valve|64|held
1479|fulton|south|sensor|36|paid
2044|birch|north|panel|21|pending
2246|ionic|west|rotor|75|paid
1430|ember|east|pump|55|pending
1460|dorian|south|gasket|36|shipped
1252|fulton|south|panel|34|paid
2217|acme|west|rotor|40|held
1766|juno|east|sensor|39|shipped
2335|ember|east|valve|63|pending
1961|dorian|north|rotor|99|pending
1987|juno|east|rotor|93|pending
1837|acme|west|cable|52|shipped
1437|harbor|west|gasket|58|pending
2122|gale|east|panel|46|shipped
1616|birch|north|cable|12|pending
1910|birch|south|cable|63|held
1676|ionic|west|sensor|74|paid
1589|juno|north|sensor|48|paid
2327|harbor|north|rotor|56|pending
1603|acme|north|valve|87|paid
1994|harbor|south|gasket|28|held
2289|harbor|west|frame|40|shipped
1686|juno|south|pump|99|shipped
1507|gale|west|panel|65|shipped
1302|cobalt|west|pump|73|pending
1729|ember|west|sensor|12|paid
2272|dorian|south|panel|35|held
1985|acme|west|frame|87|held
1988|harbor|north|pump|77|held
1558|fulton|east|valve|94|pending
1389|harbor|north|gasket|70|shipped
1250|fulton|east|panel|69|pending
1259|fulton|west|pump|27|pending
1322|acme|south|valve|46|shipped
2319|acme|west|gasket|50|shipped
1641|dorian|north|cable|59|shipped
1918|acme|west|valve|34|paid
2278|birch|east|sensor|46|pending
2168|ionic|east|cable|67|paid
2142|birch|east|sensor|50|held
2187|juno|south|rotor|96|pending
1499|harbor|east|pump|25|held
2198|ionic|north|valve|85|held
1313|birch|north|rotor|93|paid
1670|juno|north|valve|52|held
1632|birch|north|sensor|43|held
2051|dorian|south|frame|30|held
1887|ember|north|sensor|61|shipped
1393|harbor|east|cable|52|held
2015|dorian|south|sensor|54|pending
1537|acme|north|sensor|34|shipped
1838|ionic|north|frame|92|shipped
1645|acme|north|rotor|20|pending
1255|fulton|south|valve|76|pending
1765|dorian|west|panel|36|pending
2104|juno|north|panel|98|paid
1364|ember|west|panel|24|paid
1289|birch|north|valve|31|paid
1441|ionic|south|panel|91|shipped
2036|ionic|north|panel|97|held
2031|fulton|north|pump|19|paid
1813|fulton|east|rotor|25|shipped
2349|cobalt|south|panel|11|pending
1366|ember|west|pump|79|paid
1866|birch|south|panel|48|pending
2181|gale|east|frame|36|held
1280|fulton|west|frame|94|pending
2159|fulton|south|frame|84|paid
1264|fulton|south|rotor|57|shipped
1749|harbor|north|panel|77|pending
2120|dorian|north|gasket|14|paid
1884|ember|north|panel|86|pending
1661|ionic|west|valve|19|paid
2210|juno|west|gasket|18|paid
1626|fulton|south|sensor|97|paid
1901|cobalt|east|gasket|62|paid
1954|gale|west|frame|15|shipped
2313|birch|south|rotor|29|pending
1513|birch|east|panel|53|shipped
2205|ember|east|sensor|12|shipped
1564|juno|west|gasket|44|pending
1966|birch|south|rotor|91|pending
2254|harbor|west|pump|75|paid
2259|gale|north|rotor|36|pending
2340|ember|west|gasket|10|pending
1400|gale|east|gasket|76|shipped
1828|dorian|west|gasket|57|shipped
1773|fulton|east|sensor|22|paid
2089|dorian|west|gasket|50|held
1611|harbor|north|gasket|18|held
2146|fulton|north|gasket|66|shipped
1241|fulton|south|valve|78|paid
2315|birch|north|cable|91|shipped
1931|ember|west|sensor|88|pending
1501|harbor|west|cable|56|pending
2249|dorian|south|cable|30|pending
2343|harbor|east|frame|49|shipped
1894|dorian|north|valve|21|shipped
1806|harbor|north|cable|19|held
1466|acme|east|sensor|48|pending
1451|ionic|north|rotor|87|shipped
1522|birch|north|gasket|28|held
1658|fulton|east|pump|10|paid
1956|birch|west|sensor|30|pending
2297|cobalt|east|panel|65|shipped
2012|birch|north|valve|11|pending
1697|ionic|north|panel|93|held
1345|juno|north|panel|62|pending
1947|dorian|north|sensor|63|shipped
2065|harbor|south|valve|47|shipped
1840|ember|south|pump|56|held
1726|dorian|south|sensor|63|held
1593|acme|north|gasket|44|pending
1870|cobalt|north|gasket|64|shipped
1375|harbor|west|panel|95|pending
2020|harbor|south|gasket|89|pending
2005|juno|east|frame|25|shipped
1862|dorian|south|gasket|26|paid
1914|juno|east|gasket|29|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "gasket", "qty": 79}},
{"tool": "restock", "args": {"item": "frame", "qty": 71}},
{"tool": "restock", "args": {"item": "pump", "qty": 90}},
{"tool": "restock", "args": {"item": "cable", "qty": 49}},
{"tool": "restock", "args": {"item": "valve", "qty": 76}}
]wrongagentic.tools.ledger-v1conf 100% · 116ms · $0.000 · 308 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: $668
- bravo: $224
- delta: $200
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $310 from "bravo" to "delta"
2. pay $416 from "bravo" to "kilo"
3. pay $594 from "delta" to "bravo"
4. pay $281 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": "top_up_from_reserve",
"args": {
"account": "bravo",
"amount": 86
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "delta",
"amount": 310
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "bravo",
"amount": 416
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "kilo",
"amount": 416
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 594
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "kilo",
"amount": 281
}
}
]correctagentic.tools.triage-v1conf 100% · 489ms · $0.000 · 286 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 → silva
- payments → chen
- auth → dubois
INCIDENTS:
1. "records missing after import" (category: data, priority 6)
2. "card declined at checkout" (category: payments, priority 2)
3. "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": "records missing after import",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.triage-v1conf 100% · 330ms · $0.000 · 326 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 → novak
- infra → tanaka
- auth → chen
INCIDENTS:
1. "records missing after import" (category: data, priority 3)
2. "records missing after import" (category: data, priority 3)
3. "locked out after 2FA change" (category: auth, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-3"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "chen"
}
}
]correctagentic.tools.context-load-v1conf 100% · 109ms · $0.001 · 113 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (265 records, format: id|customer|region|item|qty|status):
```
1562|ionic|east|panel|27|pending
1884|juno|south|pump|71|paid
1208|juno|south|gasket|95|shipped
1781|gale|west|valve|46|held
1315|gale|south|cable|40|shipped
1800|acme|west|frame|44|pending
1089|acme|south|gasket|38|pending
1791|gale|south|cable|63|shipped
2063|birch|north|frame|79|paid
2006|ember|east|gasket|12|held
1980|acme|north|valve|78|shipped
2049|harbor|south|panel|87|shipped
1449|acme|east|cable|74|paid
1319|ember|east|gasket|78|shipped
1274|birch|west|sensor|42|paid
1610|ionic|east|sensor|77|pending
1099|acme|south|frame|43|pending
1796|cobalt|south|pump|59|held
1507|fulton|south|pump|48|paid
1386|juno|east|rotor|37|paid
1548|birch|east|pump|19|paid
1301|ember|west|sensor|98|held
1408|fulton|west|valve|82|paid
1484|harbor|west|sensor|74|shipped
1297|birch|south|gasket|48|held
1743|dorian|north|valve|81|held
1278|ember|east|cable|47|held
1530|ionic|west|cable|45|shipped
1600|juno|north|cable|15|shipped
1493|dorian|west|rotor|38|pending
1688|ionic|north|panel|54|pending
1411|juno|east|rotor|58|pending
1256|gale|west|gasket|65|pending
1168|gale|west|gasket|30|pending
1692|gale|west|valve|20|pending
1661|juno|north|frame|93|shipped
1857|acme|north|rotor|88|shipped
2041|gale|north|gasket|57|shipped
1462|fulton|south|gasket|24|held
1570|dorian|west|cable|23|held
1375|birch|west|sensor|26|paid
1084|acme|south|rotor|21|paid
1506|fulton|north|rotor|61|pending
1974|birch|east|pump|76|shipped
1862|harbor|north|sensor|22|held
1247|cobalt|north|rotor|23|pending
1679|fulton|east|panel|37|held
1143|harbor|south|frame|21|held
1668|harbor|south|sensor|95|shipped
1132|dorian|south|rotor|43|pending
1848|ionic|east|frame|12|paid
1707|juno|north|sensor|11|shipped
1675|dorian|west|pump|83|shipped
1483|cobalt|west|cable|35|paid
1932|ember|south|gasket|74|shipped
2087|juno|north|frame|65|held
1123|acme|south|frame|10|held
1842|fulton|south|valve|53|pending
1269|acme|west|gasket|89|paid
1907|birch|west|frame|80|shipped
1605|acme|north|panel|51|held
1352|gale|east|valve|25|shipped
1751|gale|west|pump|36|paid
1813|gale|east|pump|52|shipped
1355|dorian|north|panel|26|paid
1280|birch|north|sensor|65|pending
1534|dorian|west|rotor|49|paid
1764|fulton|west|cable|57|shipped
1655|birch|north|cable|56|held
1470|fulton|south|valve|49|held
1127|ember|west|valve|75|pending
2025|dorian|east|gasket|69|shipped
1880|birch|east|rotor|76|shipped
2088|cobalt|east|panel|19|paid
1644|ember|west|pump|27|held
1189|dorian|south|gasket|53|held
1420|harbor|north|pump|34|paid
1821|acme|north|valve|61|held
1403|gale|east|gasket|26|paid
1204|birch|south|pump|72|pending
1742|ember|east|rotor|66|paid
1138|fulton|west|rotor|75|paid
2077|harbor|east|sensor|50|paid
2098|fulton|south|rotor|12|paid
2030|ember|west|sensor|39|paid
2042|acme|east|gasket|73|paid
1434|ember|north|panel|77|pending
1391|birch|north|gasket|68|held
1863|ember|north|rotor|12|held
1582|ember|east|frame|70|paid
1402|gale|north|pump|84|pending
1545|gale|south|valve|35|shipped
2090|cobalt|north|gasket|93|pending
1555|ionic|north|gasket|56|pending
1083|acme|west|sensor|15|pending
1172|fulton|west|rotor|83|pending
1326|dorian|west|frame|56|held
1120|acme|east|pump|61|pending
1195|gale|east|rotor|12|shipped
1731|acme|west|gasket|27|shipped
2131|juno|south|sensor|93|held
1223|ember|north|pump|69|shipped
1345|fulton|north|gasket|29|paid
2008|ember|south|valve|58|shipped
2085|fulton|north|rotor|16|paid
1938|acme|north|valve|34|held
1397|juno|west|sensor|27|pending
1329|gale|south|valve|74|pending
1638|cobalt|north|valve|57|pending
1441|harbor|north|sensor|76|held
1892|birch|east|gasket|82|shipped
1816|fulton|east|frame|16|pending
1954|ionic|north|rotor|96|pending
1788|juno|south|rotor|58|pending
2036|juno|north|panel|19|paid
1463|dorian|west|cable|97|pending
2016|ionic|south|sensor|92|held
1150|ember|east|cable|70|paid
1215|fulton|south|cable|77|shipped
1592|juno|south|cable|94|shipped
1949|fulton|west|sensor|47|paid
1887|acme|east|panel|53|shipped
1454|birch|south|cable|79|pending
1460|acme|west|valve|30|paid
1229|fulton|east|frame|40|shipped
1727|birch|north|panel|70|paid
1110|acme|south|sensor|79|held
1853|fulton|south|valve|12|shipped
1761|dorian|south|pump|39|pending
1535|birch|north|gasket|58|shipped
1713|birch|south|gasket|38|held
1779|gale|east|cable|49|paid
2142|gale|south|panel|28|pending
2093|dorian|west|gasket|11|shipped
1674|acme|north|cable|14|pending
1394|ionic|east|gasket|24|shipped
1339|ionic|west|pump|92|pending
1622|fulton|north|cable|27|held
1514|acme|west|frame|93|paid
2046|juno|south|valve|99|pending
1577|acme|south|rotor|89|held
1211|birch|west|gasket|92|pending
2125|acme|east|valve|25|held
1913|ember|west|rotor|91|shipped
1415|cobalt|south|cable|79|shipped
1413|gale|east|valve|40|held
1726|harbor|south|frame|78|pending
1106|acme|east|panel|55|pending
2054|birch|east|gasket|22|pending
1982|ember|north|panel|91|held
1956|juno|north|rotor|36|pending
2070|harbor|east|pump|54|held
2119|gale|west|valve|93|pending
1308|harbor|south|rotor|26|held
1368|cobalt|west|cable|20|held
2137|cobalt|east|panel|97|shipped
1097|acme|south|frame|78|shipped
1598|fulton|east|gasket|81|shipped
2057|dorian|south|panel|75|pending
1740|cobalt|east|pump|96|shipped
1257|ember|north|sensor|36|pending
1922|ionic|south|cable|57|paid
1694|fulton|south|valve|83|paid
1719|ember|west|frame|13|held
1930|ionic|north|rotor|26|pending
1499|fulton|south|frame|78|shipped
1183|fulton|east|panel|79|paid
1234|ionic|north|pump|82|paid
1406|dorian|north|sensor|37|paid
1093|acme|north|cable|58|pending
1264|acme|south|frame|36|shipped
1797|ionic|west|cable|67|shipped
1992|acme|north|sensor|81|paid
1701|dorian|east|valve|53|shipped
1115|acme|south|pump|28|pending
1847|gale|west|gasket|88|shipped
1681|ionic|north|cable|96|shipped
1271|birch|west|valve|19|held
2000|harbor|south|sensor|37|paid
1336|gale|west|sensor|17|held
1929|ionic|west|pump|13|paid
2081|juno|south|rotor|34|paid
1142|ember|east|sensor|98|held
1680|ionic|east|pump|14|shipped
2043|ionic|west|valve|18|held
1429|acme|east|sensor|11|pending
1292|dorian|east|sensor|77|shipped
1513|juno|east|pump|88|paid
1799|ember|south|frame|32|paid
1252|birch|east|cable|32|paid
1620|gale|north|cable|24|shipped
1291|fulton|north|frame|87|pending
1776|harbor|east|gasket|85|held
1428|cobalt|south|pump|86|pending
1920|harbor|south|pump|50|pending
1217|ionic|west|valve|50|paid
1478|fulton|south|frame|17|pending
1488|fulton|east|sensor|10|shipped
1421|dorian|east|cable|30|held
2072|acme|south|sensor|92|held
1563|cobalt|south|sensor|51|pending
2015|ember|east|frame|42|shipped
1209|ember|south|panel|18|held
1558|harbor|south|frame|91|pending
1240|ionic|east|panel|97|held
2105|juno|south|gasket|35|held
1377|juno|east|panel|12|shipped
1176|fulton|west|pump|17|shipped
1076|acme|south|gasket|26|pending
1166|cobalt|north|panel|51|pending
1835|fulton|west|pump|42|shipped
2068|acme|north|cable|66|pending
1589|harbor|north|gasket|98|paid
1624|cobalt|north|valve|83|paid
1518|harbor|east|sensor|82|paid
1746|cobalt|west|cable|30|held
1369|cobalt|west|cable|58|shipped
1307|dorian|east|rotor|16|paid
1755|ember|west|panel|48|paid
1660|birch|west|panel|41|pending
2031|acme|east|cable|23|shipped
1383|ember|east|pump|14|pending
1303|juno|west|pump|35|paid
2107|ionic|south|sensor|45|shipped
1806|harbor|east|cable|39|pending
1870|harbor|east|frame|96|paid
1736|gale|west|frame|10|shipped
1452|harbor|west|pump|81|shipped
2037|gale|east|cable|11|pending
1525|cobalt|west|pump|62|paid
1970|juno|south|frame|88|paid
1161|ionic|west|valve|80|shipped
1900|ionic|east|valve|57|pending
2115|acme|north|rotor|11|paid
1197|ember|east|pump|44|paid
1476|juno|east|rotor|46|pending
1614|acme|north|cable|12|shipped
2109|birch|south|gasket|36|shipped
1997|harbor|east|sensor|87|shipped
1219|gale|east|sensor|35|held
1526|harbor|north|panel|71|held
1218|harbor|north|sensor|95|paid
1963|birch|east|frame|40|pending
1157|ionic|east|sensor|30|paid
1284|ember|east|panel|39|pending
1989|gale|east|panel|15|pending
1810|ember|north|cable|52|shipped
1631|gale|east|valve|85|paid
1925|acme|south|panel|51|paid
1648|birch|north|frame|66|paid
1362|juno|east|sensor|92|held
1573|juno|west|panel|45|pending
1896|cobalt|east|frame|53|paid
1876|dorian|south|sensor|57|pending
1222|ionic|west|rotor|82|paid
1390|fulton|east|panel|54|pending
2018|cobalt|north|panel|50|shipped
1769|birch|east|frame|42|pending
1443|acme|north|pump|39|pending
1725|cobalt|north|cable|26|shipped
1861|juno|south|rotor|48|pending
1672|birch|east|gasket|81|shipped
1541|fulton|east|cable|82|held
1942|fulton|west|rotor|45|shipped
1828|fulton|north|rotor|74|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" 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:
[
{"tool": "cancel_order", "args": {"order_id": 1076}},
{"tool": "cancel_order", "args": {"order_id": 1089}},
{"tool": "cancel_order", "args": {"order_id": 1099}},
{"tool": "cancel_order", "args": {"order_id": 1115}}
]correctagentic.tools.deploy-v1conf 100% · 316ms · $0.000 · 110 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: (none)
- search: notifier
- reports: notifier
- auth-svc: reports, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.2s · $0.000 · 305 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: $749
- echo: $200
- tango: $691
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $240 from "alpha" to "tango"
2. pay $188 from "tango" to "alpha"
3. pay $486 from "tango" to "echo"
4. pay $503 from "alpha" to "echo"
5. pay $382 from "echo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "tango",
"amount": 240
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "alpha",
"amount": 188
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "echo",
"amount": 486
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 1
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "echo",
"amount": 503
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "tango",
"amount": 382
}
}
]correctagentic.tools.triage-v1conf 100% · 275ms · $0.000 · 375 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → okafor
- payments → haddad
- data → rivera
INCIDENTS:
1. "API latency spikes" (category: infra, priority 4)
2. "card declined at checkout" (category: payments, priority 6)
3. "dashboard shows stale numbers" (category: data, priority 2)
4. "card declined at checkout" (category: payments, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 6
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-2"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 406ms · $0.001 · 164 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 (252 records, format: id|customer|region|item|qty|status):
```
1465|ionic|south|gasket|15|paid
1227|gale|east|panel|43|shipped
1415|gale|west|pump|77|shipped
1502|cobalt|south|sensor|99|paid
1953|gale|north|valve|97|shipped
1847|juno|north|rotor|96|paid
1239|acme|south|cable|33|paid
1479|gale|east|panel|35|pending
1538|harbor|north|frame|13|held
1392|harbor|north|rotor|18|held
2168|ionic|south|sensor|21|pending
1884|juno|west|rotor|96|shipped
1631|ember|east|sensor|20|paid
2022|ionic|north|panel|42|paid
1595|cobalt|north|pump|98|held
1947|fulton|north|frame|21|shipped
1959|acme|west|valve|42|paid
1634|fulton|south|cable|56|paid
1923|ember|west|gasket|56|shipped
1413|juno|north|cable|75|pending
1169|juno|south|valve|61|shipped
1894|cobalt|east|sensor|71|shipped
1750|birch|south|gasket|81|held
1225|cobalt|west|rotor|31|paid
1188|acme|south|valve|84|paid
2105|cobalt|east|rotor|63|pending
1237|gale|east|gasket|10|pending
1873|ember|north|sensor|10|paid
1469|gale|north|gasket|61|held
1230|cobalt|east|cable|39|paid
1286|birch|south|valve|22|shipped
1928|gale|west|cable|61|held
1277|fulton|north|frame|60|shipped
1378|harbor|west|panel|70|shipped
1834|ember|north|valve|17|paid
1992|gale|north|rotor|55|shipped
2065|acme|north|valve|45|paid
1901|juno|north|frame|45|shipped
1446|fulton|south|valve|95|shipped
1998|cobalt|east|rotor|19|paid
1398|acme|west|sensor|56|pending
1411|ember|east|frame|72|pending
1824|juno|south|sensor|88|pending
1616|harbor|south|valve|46|pending
1563|ember|north|rotor|89|pending
1679|birch|north|gasket|75|shipped
1274|harbor|north|rotor|25|held
1861|dorian|south|cable|24|pending
1240|harbor|west|cable|51|held
1328|acme|south|cable|76|pending
2028|harbor|south|rotor|81|shipped
1520|cobalt|west|cable|19|pending
1516|ionic|east|frame|93|shipped
1696|juno|south|gasket|13|pending
1555|birch|west|frame|52|pending
1203|harbor|west|cable|19|pending
1933|juno|west|gasket|95|shipped
1659|acme|west|frame|52|held
1760|gale|west|valve|93|paid
1436|dorian|north|sensor|76|held
1905|dorian|east|sensor|68|pending
1297|harbor|west|sensor|51|pending
1916|gale|north|pump|86|held
2127|ember|west|cable|61|shipped
1527|gale|east|sensor|89|shipped
1524|birch|north|valve|92|pending
2094|harbor|north|gasket|13|pending
1866|juno|east|pump|43|pending
2008|ember|south|panel|65|pending
2035|birch|west|valve|84|paid
1698|ionic|north|sensor|31|paid
1462|cobalt|west|panel|33|shipped
1222|gale|south|gasket|99|held
1722|fulton|west|panel|30|shipped
1310|juno|east|panel|95|shipped
1806|juno|south|gasket|19|pending
1214|gale|south|sensor|30|shipped
1557|birch|east|sensor|75|held
1653|fulton|south|valve|54|pending
2180|ionic|south|sensor|39|paid
1359|juno|east|gasket|25|paid
1578|juno|west|valve|36|shipped
1649|juno|west|valve|72|pending
1889|harbor|west|valve|24|pending
1944|ionic|west|cable|23|held
1195|gale|north|sensor|37|paid
1951|juno|north|valve|33|pending
1801|dorian|west|gasket|35|pending
2013|fulton|west|cable|95|pending
1638|cobalt|north|pump|79|paid
1556|gale|east|frame|49|held
1483|ionic|west|cable|50|pending
2082|harbor|east|sensor|20|shipped
1779|acme|north|panel|70|pending
1987|ember|south|cable|81|shipped
1713|ember|south|panel|83|pending
2201|ember|west|frame|20|held
2112|juno|west|pump|97|held
2184|gale|west|panel|71|shipped
1340|acme|south|frame|91|pending
1350|cobalt|west|panel|74|shipped
2074|fulton|north|gasket|57|paid
1799|ionic|south|cable|86|pending
1439|dorian|south|frame|70|pending
1932|juno|north|gasket|84|held
1197|juno|east|cable|88|shipped
2217|ionic|north|valve|25|shipped
2191|acme|west|gasket|44|shipped
1786|dorian|west|sensor|95|paid
1154|juno|south|gasket|44|paid
1937|gale|east|frame|70|paid
1589|birch|west|frame|52|held
1426|ember|east|gasket|79|pending
1984|juno|south|rotor|93|pending
2045|acme|south|rotor|80|paid
1840|birch|west|panel|97|paid
1896|juno|east|frame|32|pending
2226|ember|east|frame|54|pending
1541|dorian|south|panel|60|paid
1876|ionic|south|cable|19|paid
2147|cobalt|south|panel|97|held
1390|gale|east|cable|92|paid
1288|acme|south|pump|45|paid
1508|acme|north|sensor|26|shipped
1766|fulton|east|valve|24|held
2121|gale|east|panel|74|pending
1976|birch|east|gasket|54|paid
1621|fulton|east|cable|56|shipped
1363|juno|west|sensor|30|pending
1376|gale|west|rotor|20|pending
1304|dorian|south|gasket|22|held
1472|dorian|south|frame|95|paid
1818|gale|south|rotor|83|held
1167|juno|north|cable|59|pending
2055|fulton|south|valve|11|paid
1977|fulton|west|gasket|19|shipped
2143|acme|north|cable|97|paid
1602|harbor|east|pump|17|shipped
2005|harbor|south|valve|89|shipped
1530|harbor|west|rotor|11|shipped
1374|dorian|south|valve|68|pending
1345|acme|south|rotor|60|shipped
1775|birch|west|panel|50|held
2106|fulton|west|valve|13|pending
1420|fulton|south|rotor|83|held
2156|ionic|east|panel|20|held
2059|cobalt|south|valve|62|pending
1864|harbor|west|valve|74|paid
2197|ember|east|frame|37|held
1355|juno|west|panel|43|shipped
1421|gale|south|cable|16|paid
1867|harbor|south|gasket|20|paid
1672|ember|south|gasket|27|paid
1792|ionic|north|panel|60|paid
1757|birch|west|sensor|42|shipped
1196|ionic|east|panel|39|held
2007|harbor|north|rotor|98|shipped
2062|ember|west|pump|40|held
1383|ionic|east|rotor|39|shipped
1576|birch|east|frame|80|pending
1505|cobalt|east|rotor|95|paid
1898|cobalt|north|panel|86|paid
1405|acme|east|pump|59|shipped
1177|juno|north|frame|37|pending
1151|juno|north|pump|96|pending
1692|acme|north|frame|11|pending
1718|birch|south|panel|34|held
1317|juno|south|sensor|94|held
1368|gale|north|frame|42|shipped
1816|harbor|west|pump|68|pending
1877|harbor|north|frame|57|held
1495|fulton|south|panel|61|shipped
1209|harbor|north|sensor|99|held
2227|harbor|west|panel|53|pending
1744|dorian|east|sensor|71|paid
1186|ionic|east|cable|87|held
1560|birch|south|frame|87|paid
2099|birch|north|sensor|12|paid
1257|gale|west|panel|22|shipped
1487|ember|north|cable|80|shipped
2069|ember|east|pump|60|shipped
1506|dorian|south|frame|62|shipped
1247|ionic|west|panel|17|paid
1354|ember|east|panel|62|shipped
1262|dorian|south|panel|91|held
2203|cobalt|south|rotor|71|pending
1431|harbor|north|sensor|31|held
1585|acme|south|gasket|59|held
2132|dorian|south|frame|50|held
1185|gale|west|panel|92|paid
2174|ionic|south|frame|57|paid
1219|fulton|west|frame|31|paid
2116|acme|west|rotor|58|held
1829|gale|west|sensor|35|paid
1514|juno|south|valve|99|shipped
2092|cobalt|south|gasket|79|paid
2086|ionic|east|pump|76|held
1605|birch|south|rotor|53|held
2017|fulton|south|pump|23|paid
2210|ionic|south|pump|34|paid
2003|fulton|south|gasket|14|held
1548|fulton|north|valve|12|held
2050|ember|east|panel|97|shipped
1740|juno|west|cable|59|held
1970|birch|south|frame|92|paid
2176|ember|south|gasket|33|paid
1666|juno|south|sensor|71|paid
1645|acme|west|valve|56|paid
1732|gale|south|gasket|81|paid
1292|harbor|north|panel|63|pending
1636|ember|north|cable|19|paid
1323|ember|west|rotor|58|paid
1710|ionic|west|cable|91|pending
1821|dorian|east|gasket|78|held
1854|harbor|east|gasket|97|held
1575|ember|west|gasket|90|shipped
1453|cobalt|north|pump|37|held
1181|juno|south|rotor|15|paid
1532|juno|east|rotor|60|held
1820|gale|north|valve|71|shipped
1911|birch|east|rotor|61|pending
1827|juno|north|frame|72|paid
1570|gale|west|frame|97|pending
1256|juno|south|valve|27|shipped
1685|fulton|south|cable|40|paid
2138|dorian|east|frame|21|paid
1160|juno|south|rotor|75|pending
1728|ember|south|cable|17|shipped
1704|fulton|south|valve|92|pending
1491|harbor|east|valve|69|pending
2080|dorian|east|pump|90|shipped
1170|juno|south|sensor|26|pending
1455|acme|west|panel|73|shipped
1226|juno|west|panel|69|held
1250|ionic|east|frame|14|pending
1267|cobalt|north|sensor|65|shipped
1612|juno|east|cable|13|paid
1628|birch|south|sensor|27|held
2162|juno|south|panel|85|paid
1965|dorian|south|pump|42|paid
2042|dorian|south|cable|59|held
1811|harbor|south|valve|81|shipped
1546|acme|south|sensor|95|held
1503|juno|north|panel|36|pending
1773|cobalt|south|valve|12|pending
1149|juno|south|gasket|80|pending
1734|gale|east|pump|74|pending
2221|ionic|south|pump|67|paid
1283|ionic|east|rotor|48|held
1407|cobalt|south|pump|26|paid
1334|dorian|south|valve|74|paid
2149|cobalt|west|rotor|94|shipped
```
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 > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1696}},
{"tool": "cancel_order", "args": {"order_id": 1806}},
{"tool": "restock", "args": {"item": "rotor", "qty": 93}},
{"tool": "cancel_order", "args": {"order_id": 1160}},
{"tool": "cancel_order", "args": {"order_id": 1170}},
{"tool": "restock", "args": {"item": "gasket", "qty": 80}}
]correctagentic.tools.deploy-v1conf 100% · 241ms · $0.000 · 110 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: notifier
- notifier: (none)
- auth-svc: notifier, reports
- gateway: 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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 217ms · $0.000 · 346 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: $427
- lima: $348
- oscar: $374
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $560 from "alpha" to "lima"
2. pay $92 from "alpha" to "lima"
3. pay $432 from "oscar" to "alpha"
4. pay $550 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": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 133
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "lima",
"amount": 560
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 92
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "lima",
"amount": 92
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "oscar",
"amount": 58
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "alpha",
"amount": 432
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "alpha",
"amount": 550
}
}
]wrongagentic.tools.context-load-v1conf 100% · 556ms · $0.000 · 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 (244 records, format: id|customer|region|item|qty|status):
```
1769|birch|south|pump|51|shipped
1728|birch|north|cable|84|held
1867|harbor|north|panel|44|pending
1514|ionic|north|valve|90|pending
1259|juno|east|sensor|74|held
2014|harbor|north|sensor|92|held
1876|harbor|west|valve|18|paid
1956|acme|north|gasket|96|pending
1642|gale|east|frame|15|pending
1466|harbor|south|pump|31|held
1438|ember|south|valve|37|held
1847|ionic|north|panel|89|held
1862|gale|south|sensor|43|held
2055|gale|east|frame|99|held
1327|harbor|south|frame|90|paid
1882|harbor|south|rotor|45|shipped
1445|harbor|west|cable|61|paid
1828|ember|east|gasket|67|shipped
1976|ember|south|valve|82|pending
1243|gale|north|pump|68|paid
2077|fulton|north|valve|56|shipped
1225|acme|west|valve|31|paid
1945|harbor|north|pump|46|pending
1199|ember|north|frame|55|pending
1697|ember|north|sensor|14|paid
1871|cobalt|east|cable|56|shipped
1233|dorian|north|valve|59|pending
1681|gale|south|frame|16|paid
1347|acme|north|cable|11|shipped
1490|ionic|east|cable|70|shipped
1248|harbor|west|pump|37|paid
1959|birch|west|gasket|81|pending
1881|acme|north|valve|11|paid
1719|gale|north|gasket|75|held
1741|juno|south|frame|25|paid
1414|acme|south|panel|24|shipped
1252|acme|south|frame|67|shipped
1389|birch|west|pump|84|pending
1968|gale|east|valve|66|pending
1550|birch|north|valve|20|held
1704|harbor|north|frame|69|paid
1599|fulton|east|pump|85|pending
1966|ember|north|sensor|56|shipped
1605|cobalt|east|rotor|10|held
1776|birch|south|panel|89|paid
1824|ember|south|cable|65|shipped
1171|ember|north|panel|88|pending
1815|acme|west|cable|18|pending
1192|ember|north|valve|34|shipped
1909|ionic|west|cable|56|pending
1633|acme|west|frame|79|shipped
1245|acme|south|frame|92|shipped
1907|cobalt|north|valve|98|pending
1548|dorian|west|rotor|44|pending
1896|harbor|east|rotor|69|paid
1345|dorian|south|gasket|45|shipped
1834|gale|north|pump|64|held
1571|ionic|south|gasket|39|held
1801|birch|west|rotor|63|pending
1584|ionic|south|sensor|20|pending
1989|cobalt|south|panel|88|held
1365|gale|north|gasket|76|held
1569|harbor|north|gasket|41|shipped
1791|cobalt|west|cable|60|held
1917|fulton|east|sensor|24|shipped
1350|birch|south|cable|55|pending
1684|ember|west|cable|27|shipped
1322|cobalt|west|cable|28|held
1238|gale|east|gasket|13|pending
1905|fulton|north|sensor|16|shipped
1276|birch|south|gasket|78|held
1622|juno|south|pump|56|shipped
1698|fulton|east|frame|88|paid
1484|juno|south|frame|73|shipped
1453|birch|west|pump|41|pending
1771|ionic|north|pump|85|shipped
1795|dorian|east|rotor|84|held
1586|harbor|east|valve|53|pending
1654|gale|north|valve|87|paid
2002|dorian|west|frame|95|paid
2045|acme|south|valve|42|paid
1890|gale|north|pump|48|shipped
1844|ionic|east|frame|79|shipped
1707|harbor|north|pump|26|pending
1808|cobalt|east|cable|37|shipped
1864|harbor|east|pump|19|pending
1351|ember|east|frame|99|pending
1288|gale|south|frame|57|held
1313|cobalt|north|sensor|75|paid
1394|acme|west|cable|91|paid
1736|birch|south|panel|69|shipped
1940|juno|west|gasket|70|held
1721|cobalt|north|valve|64|held
1536|dorian|north|sensor|34|paid
1474|fulton|north|gasket|21|shipped
1229|birch|south|valve|30|paid
1653|fulton|south|rotor|89|shipped
1818|cobalt|east|valve|64|paid
1585|ember|east|rotor|83|pending
1561|gale|east|sensor|39|paid
1607|juno|west|gasket|78|shipped
2034|dorian|west|cable|83|held
1212|ember|west|cable|25|pending
1501|acme|east|frame|31|paid
1476|cobalt|south|pump|87|shipped
1358|fulton|west|gasket|83|shipped
1447|dorian|north|gasket|61|pending
1242|cobalt|south|gasket|99|shipped
1187|ember|south|gasket|26|pending
1332|birch|south|cable|62|pending
1427|juno|east|valve|26|shipped
1577|acme|west|sensor|58|pending
1981|cobalt|north|pump|17|paid
1903|gale|north|valve|83|held
1958|acme|east|pump|37|paid
2064|fulton|west|sensor|42|paid
1303|harbor|west|cable|88|pending
1546|birch|west|rotor|16|shipped
1647|birch|east|valve|33|held
1518|ember|east|frame|76|pending
1335|ember|west|cable|41|paid
1496|fulton|east|cable|20|shipped
1424|cobalt|east|sensor|77|paid
1978|cobalt|north|sensor|13|paid
1294|ionic|west|frame|79|held
1401|fulton|south|gasket|16|shipped
1764|gale|east|pump|93|held
2070|ember|south|valve|84|paid
1722|fulton|north|valve|90|pending
1651|cobalt|west|valve|84|shipped
1688|harbor|south|rotor|34|held
1891|fulton|north|sensor|53|held
1417|fulton|east|frame|21|held
2075|fulton|south|frame|64|held
1283|dorian|east|valve|27|paid
1532|cobalt|south|valve|67|paid
1623|fulton|south|frame|41|shipped
2022|ember|south|valve|70|paid
1205|ember|east|sensor|50|pending
1390|fulton|west|gasket|28|shipped
1185|ember|north|pump|45|pending
1361|ember|east|frame|26|shipped
1521|juno|south|pump|36|pending
2067|dorian|south|panel|52|paid
1253|acme|south|pump|92|shipped
1508|cobalt|east|gasket|67|held
1900|gale|north|cable|37|paid
1637|cobalt|west|rotor|17|held
1180|ember|north|sensor|33|shipped
1566|juno|south|rotor|86|paid
2041|ionic|north|frame|93|pending
1279|dorian|east|frame|15|pending
1931|dorian|east|rotor|94|paid
1750|fulton|south|sensor|42|shipped
1950|cobalt|south|rotor|83|paid
1591|dorian|south|valve|17|held
2007|harbor|north|valve|75|paid
1831|ionic|north|panel|64|held
1663|acme|west|gasket|57|paid
1207|ember|north|panel|71|held
1455|acme|east|gasket|51|pending
2016|ember|north|panel|55|held
1730|birch|south|pump|35|pending
1431|birch|north|cable|56|paid
1372|birch|south|sensor|43|shipped
1620|ember|west|sensor|58|pending
1883|acme|west|sensor|51|shipped
1796|harbor|east|pump|90|pending
1255|gale|south|rotor|35|held
1924|birch|south|valve|17|paid
1592|fulton|north|rotor|95|shipped
1780|gale|west|valve|87|held
2061|cobalt|east|panel|40|pending
1509|birch|west|cable|47|paid
1528|acme|north|frame|41|shipped
2062|gale|north|pump|36|shipped
1746|ember|west|pump|39|pending
1830|fulton|south|rotor|77|paid
1937|gale|north|pump|79|pending
1595|juno|east|frame|97|shipped
2039|ionic|east|valve|37|shipped
1338|ionic|north|valve|12|shipped
1457|dorian|east|pump|41|pending
1173|ember|east|sensor|85|pending
1886|ionic|east|valve|27|held
1318|birch|east|sensor|56|held
1714|harbor|south|cable|69|shipped
1626|fulton|west|panel|19|paid
1271|acme|south|rotor|11|paid
1468|juno|south|cable|90|pending
1210|ember|north|gasket|63|pending
2053|cobalt|north|pump|20|pending
1682|ember|south|valve|38|paid
1873|acme|north|rotor|51|paid
1757|gale|south|valve|53|pending
1841|dorian|south|pump|69|paid
2073|harbor|east|rotor|21|pending
1955|juno|north|frame|85|pending
1849|juno|west|gasket|27|pending
1602|birch|south|sensor|63|held
1646|harbor|east|rotor|39|held
1449|harbor|north|cable|26|paid
1670|harbor|south|gasket|14|held
1997|acme|south|rotor|40|held
1378|gale|south|gasket|45|shipped
1913|birch|west|frame|47|pending
1222|ember|south|sensor|19|pending
2051|cobalt|south|cable|11|paid
1308|fulton|north|frame|55|held
1638|fulton|west|pump|60|held
1762|ionic|east|rotor|26|paid
1307|fulton|north|cable|50|pending
1675|dorian|west|cable|53|pending
1787|harbor|west|gasket|91|shipped
2026|fulton|south|frame|29|pending
1995|acme|south|valve|28|held
1483|dorian|west|rotor|26|held
1408|ember|west|frame|91|paid
1667|cobalt|south|sensor|64|pending
1708|fulton|east|cable|91|pending
1486|dorian|west|rotor|42|pending
1554|ionic|east|sensor|46|paid
1426|ember|east|cable|26|pending
1660|harbor|north|pump|45|pending
1921|harbor|west|sensor|33|shipped
1919|ionic|south|sensor|82|shipped
1812|gale|east|rotor|10|held
1971|gale|north|sensor|94|pending
1837|harbor|south|valve|47|pending
1658|fulton|north|sensor|15|shipped
1855|ionic|north|cable|38|pending
2029|harbor|west|panel|49|paid
1265|acme|north|valve|38|paid
1690|ember|west|pump|56|held
1461|ember|north|gasket|49|paid
1384|acme|north|panel|41|shipped
1300|cobalt|west|cable|25|shipped
1304|ionic|north|gasket|74|held
1392|ionic|south|gasket|63|held
1219|ember|south|rotor|32|held
1542|cobalt|north|rotor|93|held
1216|ember|north|frame|69|held
1986|ember|south|gasket|38|paid
1614|birch|east|rotor|40|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "frame", "qty": 88}},
{"tool": "cancel_order", "args": {"order_id": 1199}},
{"tool": "cancel_order", "args": {"order_id": 1185}},
{"tool": "cancel_order", "args": {"order_id": 1210}}
]correctagentic.tools.deploy-v1conf 100% · 236ms · $0.000 · 110 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: gateway
- auth-svc: billing
- gateway: (none)
- billing: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.3s · $0.000 · 306 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: $823
- alpha: $648
- kilo: $192
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $121 from "echo" to "kilo"
2. pay $184 from "alpha" to "kilo"
3. pay $432 from "echo" to "alpha"
4. pay $318 from "alpha" to "kilo"
5. pay $576 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": "transfer",
"args": {
"from": "echo",
"to": "kilo",
"amount": 121
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "kilo",
"amount": 184
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "alpha",
"amount": 432
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "kilo",
"amount": 318
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "alpha",
"amount": 150
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "echo",
"amount": 576
}
}
]correctagentic.tools.triage-v1conf 100% · 104ms · $0.000 · 285 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → chen
- data → tanaka
- auth → novak
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 6)
2. "uploads failing intermittently" (category: infra, priority 6)
3. "SSO loop on login" (category: auth, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 6
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "novak"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 306ms · $0.000 · 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 (129 records, format: id|customer|region|item|qty|status):
```
1130|juno|west|panel|93|paid
1540|birch|east|cable|60|shipped
1433|cobalt|east|gasket|72|pending
1529|fulton|east|valve|37|paid
1208|harbor|west|panel|58|held
1050|dorian|east|sensor|83|pending
1443|gale|north|cable|80|shipped
1210|ember|west|frame|82|held
1496|birch|north|panel|52|shipped
1023|acme|south|gasket|39|held
1285|cobalt|east|gasket|97|shipped
1510|gale|south|panel|96|shipped
1366|ember|south|gasket|40|held
1542|fulton|east|panel|71|held
1276|harbor|south|cable|18|pending
1200|ionic|east|panel|98|held
1482|gale|north|panel|89|pending
1038|acme|south|cable|37|held
1323|ionic|south|pump|17|pending
1472|acme|west|valve|40|held
1196|dorian|east|panel|99|pending
1466|fulton|east|panel|36|held
1146|juno|west|gasket|87|paid
1178|birch|north|gasket|79|pending
1516|dorian|west|pump|34|pending
1083|fulton|south|sensor|79|shipped
1160|dorian|south|cable|88|paid
1410|gale|north|sensor|31|held
1105|ember|north|sensor|59|paid
1316|birch|north|rotor|71|pending
1172|juno|west|frame|88|shipped
1100|juno|west|pump|21|shipped
1123|acme|north|cable|64|paid
1488|juno|west|rotor|98|shipped
1385|birch|south|sensor|36|pending
1490|gale|south|sensor|93|paid
1004|acme|south|gasket|50|pending
1065|cobalt|west|sensor|18|pending
1479|acme|east|pump|65|paid
1256|fulton|south|pump|47|held
1527|gale|south|rotor|22|held
1184|fulton|north|cable|18|pending
1254|ionic|north|frame|13|pending
1012|acme|south|frame|27|held
1135|ember|west|pump|54|shipped
1244|birch|south|gasket|62|pending
1498|dorian|west|frame|89|shipped
1474|juno|west|sensor|66|paid
1223|gale|north|cable|65|held
1155|gale|east|sensor|42|shipped
1046|fulton|east|valve|97|shipped
1112|acme|west|cable|89|paid
1017|acme|south|cable|92|pending
1041|birch|north|frame|52|pending
1381|acme|west|panel|25|shipped
1262|ionic|south|pump|10|shipped
1446|ember|south|panel|65|held
1548|dorian|south|cable|40|shipped
1277|dorian|north|panel|34|paid
1008|acme|north|valve|42|pending
1219|fulton|south|gasket|52|paid
1345|gale|east|gasket|94|shipped
1284|juno|south|gasket|10|held
1302|gale|south|valve|92|pending
1435|juno|west|panel|53|paid
1241|ionic|south|sensor|65|paid
1309|gale|west|frame|45|shipped
1310|gale|west|gasket|97|shipped
1355|juno|east|valve|12|held
1376|harbor|south|frame|47|shipped
1412|acme|north|frame|57|paid
1096|acme|south|frame|96|held
1140|gale|south|cable|24|pending
1227|harbor|south|frame|56|held
1028|acme|south|cable|47|pending
1165|harbor|east|pump|22|shipped
1507|gale|south|pump|51|paid
1330|acme|east|panel|64|paid
1387|ionic|south|frame|13|pending
1189|gale|east|gasket|91|paid
1090|cobalt|east|valve|12|pending
1074|ionic|south|cable|71|paid
1360|cobalt|east|sensor|33|held
1271|harbor|south|sensor|59|pending
1458|birch|west|cable|34|pending
1291|ember|south|pump|59|shipped
1022|acme|west|valve|99|pending
1429|cobalt|north|cable|28|paid
1349|cobalt|east|frame|24|held
1148|ionic|north|cable|64|pending
1234|ember|east|sensor|19|held
1044|fulton|east|gasket|65|shipped
1459|harbor|north|valve|72|pending
1404|dorian|west|cable|20|pending
1483|juno|south|valve|31|held
1501|juno|west|rotor|85|paid
1213|cobalt|east|rotor|29|shipped
1034|acme|west|rotor|37|pending
1334|ember|west|panel|50|paid
1536|dorian|north|valve|51|paid
1104|gale|north|sensor|90|paid
1348|acme|south|frame|26|held
1287|cobalt|west|sensor|37|pending
1380|ionic|north|panel|60|paid
1417|juno|west|sensor|68|pending
1251|harbor|east|valve|10|paid
1452|dorian|west|cable|30|shipped
1373|fulton|west|valve|58|held
1079|gale|west|rotor|83|pending
1118|gale|east|gasket|94|pending
1394|gale|west|cable|38|held
1197|harbor|north|valve|42|pending
1202|birch|west|pump|35|held
1423|juno|south|rotor|41|shipped
1266|cobalt|west|frame|80|paid
1205|dorian|north|valve|88|held
1258|ionic|east|valve|53|held
1154|cobalt|north|gasket|19|shipped
1071|ionic|east|frame|99|held
1225|gale|west|gasket|22|held
1341|harbor|south|rotor|52|held
1111|acme|north|gasket|41|pending
1295|cobalt|north|rotor|67|held
1523|dorian|west|rotor|25|paid
1438|ember|north|rotor|41|held
1052|acme|north|valve|22|held
1399|fulton|north|gasket|24|pending
1058|cobalt|south|valve|61|pending
1263|harbor|west|gasket|81|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" 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:
[
{"tool": "cancel_order", "args": {"order_id": 1004}},
{"tool": "cancel_order", "args": {"order_id": 1017}},
{"tool": "cancel_order", "args": {"order_id": 1028}}
]correctagentic.tools.triage-v1conf 100% · 131ms · $0.000 · 321 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- payments → okafor
- data → silva
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "invoice total wrong" (category: payments, priority 5)
3. "invoice total wrong" (category: payments, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 5
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.deploy-v1conf 100% · 842ms · $0.000 · 174 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, reports
- gateway: reports
- billing: (none)
- reports: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "reports"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "health_check",
"args": {
"service": "notifier"
}
}
]wrongagentic.tools.context-load-v1anchorconf 100% · 117ms · $0.000 · 141 tok
model answer:
[
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}},
{"tool": "cancel_order", "args": {"order_id": 1368}}
]wrongagentic.tools.ledger-v1conf 100% · 151ms · $0.000 · 311 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: $756
- oscar: $789
- tango: $368
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $200 from "oscar" to "tango"
2. pay $596 from "alpha" to "tango"
3. pay $142 from "tango" to "alpha"
4. pay $163 from "alpha" to "oscar"
5. pay $521 from "oscar" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "tango",
"amount": 200
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "tango",
"amount": 596
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "alpha",
"amount": 142
}
},
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "oscar",
"amount": 163
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "oscar",
"amount": 144
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "tango",
"amount": 521
}
}
]correctagentic.tools.deploy-v1anchorconf 100% · 282ms · $0.000 · 176 tok
model answer:
[
{
"tool": "deploy",
"args": {
"service": "notifier"
}
},
{
"tool": "deploy",
"args": {
"service": "auth-svc"
}
},
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "health_check",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "reports"
}
}
]correctagentic.tools.triage-v1anchorconf 100% · 113ms · $0.000 · 276 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 121ms · $0.000 · 354 tok
model answer:
[
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 134
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 451
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "delta",
"amount": 292
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "tango",
"amount": 97
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 332
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 540
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 125
}
}
]code 29/30 correct
correctcode.trace.python-v1conf 100% · 802ms · $0.000 · 1060 tok
question
What does this Python program print?
```python
total = 0
v = 10
while total + v <= 105:
if v % 6 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
105correctcode.trace.js-v1conf 100% · 147ms · $0.000 · 358 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; 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:
150correctcode.trace.nested-v1conf 100% · 521ms · $0.000 · 889 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
278correctcode.trace.js-v1conf 100% · 1.2s · $0.000 · 484 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; 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:
336wrongcode.trace.nested-v1conf 100% · 803ms · $0.000 · 984 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
396correctcode.trace.nested-v1conf 100% · 1.1s · $0.000 · 747 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 == 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:
95correctcode.trace.python-v1conf 100% · 905ms · $0.000 · 386 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 4
while total + v <= 55:
if v % 6 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
39correctcode.trace.nested-v1conf 100% · 750ms · $0.000 · 1127 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 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:
368correctcode.trace.js-v1conf 100% · 519ms · $0.000 · 308 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
420correctcode.trace.python-v1conf 100% · 551ms · $0.000 · 596 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 5
while total + v <= 112:
if v % 5 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
97correctcode.trace.js-v1conf 100% · 218ms · $0.000 · 201 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 5) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90correctcode.trace.python-v1conf 100% · 128ms · $0.000 · 504 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 12
while total + v <= 91:
if v % 6 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
72correctcode.trace.js-v1conf 100% · 193ms · $0.000 · 320 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 * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
100correctcode.trace.nested-v1conf 100% · 130ms · $0.000 · 546 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) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
64correctcode.trace.python-v1conf 100% · 119ms · $0.000 · 462 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 11
while total + v <= 99:
if v % 6 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
92correctcode.trace.nested-v1conf 100% · 223ms · $0.000 · 626 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
140correctcode.trace.js-v1conf 100% · 1.2s · $0.000 · 336 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 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:
120correctcode.trace.python-v1conf 100% · 187ms · $0.000 · 636 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 91:
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:
86correctcode.trace.js-v1conf 100% · 153ms · $0.000 · 357 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]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
425correctcode.trace.nested-v1conf 100% · 426ms · $0.000 · 662 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
139correctcode.trace.python-v1conf 100% · 2.7s · $0.000 · 470 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 9
while total + v <= 68:
if v % 5 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
59correctcode.trace.nested-v1conf 100% · 227ms · $0.000 · 833 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 * 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:
318correctcode.trace.js-v1conf 100% · 65ms · $0.000 · 393 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150correctcode.trace.nested-v1conf 100% · 1.2s · $0.000 · 765 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) % 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:
86correctcode.trace.python-v1conf 100% · 898ms · $0.000 · 435 tok
question
What does this Python program print?
```python
total = 0
v = 13
while total + v <= 54:
if v % 7 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
42correctcode.trace.js-v1conf 100% · 755ms · $0.000 · 332 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; 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:
180correctcode.trace.nested-v1anchorconf 100% · 260ms · $0.000 · 798 tok
model answer:
283correctcode.trace.python-v1anchorconf 100% · 211ms · $0.000 · 489 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 209ms · $0.000 · 314 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 3.8s · $0.000 · 408 tok
model answer:
40knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 84ms · $0.000 · 18 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 301ms · $0.000 · 15 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:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 874ms · $0.000 · 15 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 145ms · $0.000 · 15 tok
question
Name the capital of Australia. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 14 tok
question
Name the Canadian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 255ms · $0.000 · 20 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:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 225ms · $0.000 · 20 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 424ms · $0.000 · 14 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 127ms · $0.000 · 14 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 189ms · $0.000 · 24 tok
question
Name the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 795ms · $0.000 · 15 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 100ms · $0.000 · 14 tok
question
Identify the Canadian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 991ms · $0.000 · 15 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 344ms · $0.000 · 24 tok
question
What is the writer of the novel "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 231ms · $0.000 · 15 tok
question
Identify the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 823ms · $0.000 · 14 tok
question
Name the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 234ms · $0.000 · 20 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:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 632ms · $0.000 · 15 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 320ms · $0.000 · 15 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:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 2.0s · $0.000 · 15 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 127ms · $0.000 · 15 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:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 133ms · $0.000 · 14 tok
question
Name the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 116ms · $0.000 · 20 tok
question
Identify the Burmese capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 121ms · $0.000 · 15 tok
question
What is the capital of Nigeria? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 212ms · $0.000 · 14 tok
question
Name the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 201ms · $0.000 · 14 tok
question
Identify the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 1.3s · $0.000 · 14 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 3.8s · $0.000 · 16 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 3.7s · $0.000 · 14 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 819ms · $0.000 · 17 tok
model answer:
Tungstenmath 29/30 correct
correctmath.chained.pipeline-v1conf 100% · 236ms · $0.000 · 303 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 48 × 28. Step 2: Q = P × 8 − 980. 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:
1632correctmath.counterfactual.base-v1conf 100% · 151ms · $0.000 · 678 tok
question
Work strictly in base 9. Multiply the base-9 numbers 74 and 74. 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:
6137correctmath.percent.chain-v2conf 100% · 1.3s · $0.000 · 238 tok
question
An inventory starts at 15000 units. Each pallet weighs about 65 grams more when wet. In the first month the inventory grows by 21%. The company was founded 66 kilometers from the port. The next month it shrinks by 27%, and the month after it grows by 5%. 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:
13911.98correctmath.algebra.system-v2conf 100% · 829ms · $0.000 · 258 tok
question
Solve the system, then answer the derived question. 3x + 6y = -177 5x − 4y = -57 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:
-7correctmath.arith.chain-v2conf 100% · 321ms · $0.000 · 363 tok
question
Compute the value of the following expression. (((23 × 77 − 279) × 7 + 5503) − 66 × 60) × 6 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
71922correctmath.counterfactual.base-v1conf 100% · 744ms · $0.000 · 401 tok
question
Work strictly in base 13. Multiply the base-13 numbers 14 and 10. 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:
140correctmath.chained.pipeline-v1conf 100% · 2.0s · $0.000 · 189 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 51 × 31. Step 2: Q = P × 8 − 342. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2462correctmath.percent.chain-v2conf 100% · 640ms · $0.000 · 201 tok
question
An inventory starts at 38000 units. The delivery van has a 98-liter fuel tank. In the first month the inventory grows by 20%. A rival firm shipped 40 unrelated parcels the same week. The next month it shrinks by 11%, and the month after it grows by 33%. 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:
53976.72correctmath.algebra.system-v2conf 100% · 992ms · $0.000 · 259 tok
question
Solve the system, then answer the derived question. 2x + 2y = 40 6x − 7y = 380 What is the value of 5x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
260correctmath.counterfactual.base-v1conf 100% · 760ms · $0.000 · 489 tok
question
Work strictly in base 9. Multiply the base-9 numbers 27 and 45. 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:
1358correctmath.arith.chain-v2conf 100% · 376ms · $0.000 · 417 tok
question
Compute the value of the following expression. (((33 × 46 − 398) × 6 + 6803) − 29 × 34) × 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:
50148correctmath.chained.pipeline-v1conf 100% · 220ms · $0.000 · 263 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 17 × 44. Step 2: Q = P × 8 − 670. 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:
594correctmath.percent.chain-v2conf 100% · 142ms · $0.000 · 199 tok
question
An inventory starts at 19000 units. The warehouse was painted 162 years ago. In the first month the inventory grows by 16%. A rival firm shipped 145 unrelated parcels the same week. The next month it shrinks by 8%, and the month after it grows by 18%. 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:
23926.62correctmath.arith.chain-v2conf 100% · 644ms · $0.000 · 484 tok
question
Compute the value of the following expression. (((49 × 52 − 415) × 3 + 8459) − 87 × 94) × 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:
26720correctmath.algebra.system-v2conf 100% · 219ms · $0.000 · 247 tok
question
Solve the system, then answer the derived question. 4x + 8y = 208 3x − 5y = -20 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:
8correctmath.chained.pipeline-v1conf 100% · 652ms · $0.000 · 286 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 70 × 54. Step 2: Q = P × 7 − 838. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
6407correctmath.counterfactual.base-v1conf 100% · 768ms · $0.000 · 315 tok
question
Work strictly in base 8. Add the base-8 numbers 444 and 4767. 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:
5433correctmath.algebra.system-v2conf 100% · 1.0s · $0.000 · 284 tok
question
Solve the system, then answer the derived question. 7x + 4y = 157 4x − 2y = 214 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:
165correctmath.percent.chain-v2conf 100% · 108ms · $0.000 · 212 tok
question
An inventory starts at 83000 units. A rival firm shipped 65 unrelated parcels the same week. In the first month the inventory grows by 22%. A rival firm shipped 178 unrelated parcels the same week. The next month it shrinks by 27%, and the month after it grows by 40%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
103487.72correctmath.arith.chain-v2conf 100% · 96ms · $0.000 · 381 tok
question
Calculate the following. Show your reasoning, then answer. (((56 × 91 − 292) × 3 + 6710) − 20 × 16) × 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:
83208correctmath.chained.pipeline-v1conf 100% · 215ms · $0.000 · 203 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 72 × 33. Step 2: Q = P × 5 − 606. 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:
3758correctmath.counterfactual.base-v1conf 100% · 101ms · $0.000 · 356 tok
question
Work strictly in base 7. Multiply the base-7 numbers 111 and 45. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
5325correctmath.percent.chain-v2conf 100% · 294ms · $0.000 · 243 tok
question
An inventory starts at 36000 units. The warehouse was painted 4 years ago. In the first month the inventory grows by 6%. A rival firm shipped 155 unrelated parcels the same week. The next month it shrinks by 22%, 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:
36313.06correctmath.algebra.system-v2conf 100% · 322ms · $0.000 · 277 tok
question
Solve the system, then answer the derived question. 8x + 3y = -29 3x − 7y = -84 What is the value of 6x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-60correctmath.arith.chain-v2conf 100% · 111ms · $0.000 · 291 tok
question
Work out the exact value of this expression. (((51 × 41 − 572) × 6 + 4457) − 70 × 42) × 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:
53155correctmath.chained.pipeline-v1conf 100% · 136ms · $0.000 · 264 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 36 × 68. Step 2: Q = P × 3 − 517. 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:
2277correctmath.counterfactual.base-v1anchorconf 100% · 202ms · $0.000 · 316 tok
model answer:
11236wrongmath.percent.chain-v2anchorconf 100% · 414ms · $0.000 · 208 tok
model answer:
61895.52correctmath.arith.chain-v2anchorconf 100% · 652ms · $0.000 · 430 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 1.2s · $0.000 · 201 tok
model answer:
87multilingual 29/30 correct
correctmultilingual.wordnum-v1conf 100% · 246ms · $0.000 · 129 tok
question
A number is written in French: « quatre-vingt-un ». Another is written in Spanish: « doscientos ochenta 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:
-204correctmultilingual.wordnum-v1conf 100% · 111ms · $0.000 · 115 tok
question
A number is written in French: « deux cent soixante-quatre ». Another is written in Spanish: « seiscientos cuarenta 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:
909correctmultilingual.numword-v2conf 100% · 107ms · $0.000 · 28 tok
question
Compute 440 + 229, 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-neufcorrectmultilingual.numword-v2conf 100% · 223ms · $0.000 · 24 tok
question
Compute 114 + 120, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos treinta y cuatrocorrectmultilingual.wordnum-v1conf 100% · 925ms · $0.000 · 61 tok
question
A number is written in French: « deux cent soixante-dix ». Another is written in Spanish: « trescientos diez ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
580correctmultilingual.wordnum-v1conf 100% · 898ms · $0.000 · 116 tok
question
A number is written in French: « quatre-vingt-quatorze ». Another is written in Spanish: « seiscientos 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:
-570correctmultilingual.numword-v2conf 100% · 72ms · $0.000 · 46 tok
question
Compute 131 + 219, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos cincuentacorrectmultilingual.numword-v2conf 100% · 135ms · $0.000 · 46 tok
question
Compute 344 + 247, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos noventa y unocorrectmultilingual.wordnum-v1conf 100% · 137ms · $0.000 · 57 tok
question
A number is written in French: « huit cent dix ». Another is written in Spanish: « ciento 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:
703wrongmultilingual.numword-v2conf 100% · 302ms · $0.000 · 27 tok
question
Compute 204 + 188, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos noventa y doscorrectmultilingual.wordnum-v1conf 100% · 107ms · $0.000 · 62 tok
question
A number is written in French: « deux cent trente ». 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:
-641correctmultilingual.wordnum-v1conf 100% · 184ms · $0.000 · 115 tok
question
A number is written in French: « huit cent soixante-quinze ». Another is written in Spanish: « ciento noventa y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1074correctmultilingual.numword-v2conf 100% · 108ms · $0.000 · 28 tok
question
Compute 273 + 86, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos cincuenta y nuevecorrectmultilingual.wordnum-v1conf 100% · 63ms · $0.000 · 60 tok
question
A number is written in French: « soixante-neuf ». Another is written in Spanish: « ochocientos veintiséis ». 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:
895correctmultilingual.numword-v2conf 100% · 94ms · $0.000 · 26 tok
question
Compute 430 + 231, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos sesenta y unocorrectmultilingual.wordnum-v1conf 100% · 252ms · $0.000 · 65 tok
question
A number is written in French: « sept cent soixante-seize ». Another is written in Spanish: « quinientos 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:
1339correctmultilingual.numword-v2conf 100% · 223ms · $0.000 · 23 tok
question
Compute 404 + 422, 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 vingt-sixcorrectmultilingual.numword-v2conf 100% · 137ms · $0.000 · 28 tok
question
Compute 481 + 402, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos ochenta y trescorrectmultilingual.wordnum-v1conf 100% · 101ms · $0.000 · 108 tok
question
A number is written in French: « six cent quatre-vingt-six ». Another is written in Spanish: « ochocientos veinticuatro ». 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:
-138correctmultilingual.wordnum-v1conf 100% · 97ms · $0.000 · 63 tok
question
A number is written in French: « trois cent vingt-trois ». Another is written in Spanish: « setecientos treinta y ocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1061correctmultilingual.numword-v2conf 100% · 65ms · $0.000 · 31 tok
question
Compute 256 + 336, 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-douzecorrectmultilingual.wordnum-v1conf 100% · 72ms · $0.000 · 113 tok
question
A number is written in French: « cent quatre-vingt-dix ». Another is written in Spanish: « trescientos diecisiete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
507correctmultilingual.numword-v2conf 100% · 90ms · $0.000 · 48 tok
question
Compute 395 + 271, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos sesenta y seiscorrectmultilingual.numword-v2conf 100% · 142ms · $0.000 · 24 tok
question
Compute 350 + 396, 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 quarante-sixcorrectmultilingual.wordnum-v1conf 100% · 1.0s · $0.000 · 61 tok
question
A number is written in French: « cent deux ». Another is written in Spanish: « quinientos 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:
610correctmultilingual.numword-v2conf 100% · 189ms · $0.000 · 46 tok
question
Compute 351 + 223, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos setenta y cuatrocorrectmultilingual.wordnum-v1anchorconf 100% · 694ms · $0.000 · 63 tok
model answer:
762correctmultilingual.wordnum-v1anchorconf 100% · 952ms · $0.000 · 66 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 102ms · $0.000 · 71 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 295ms · $0.000 · 20 tok
model answer:
seiscientos ochoreasoning 30/30 correct
correctreasoning.deduction.order-v2conf 100% · 1.4s · $0.000 · 251 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Nadir. Quinn is heavier than Chen. Hana is heavier than Quinn. Nadir is heavier than Priya. Liam is heavier than Nadir. Alice is older than everyone here, but Alice is not being ranked. Quinn is heavier than Nadir. Quinn is heavier than Priya. Liam is heavier than Hana. Priya is heavier than Ola. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.order-v2conf 100% · 104ms · $0.000 · 377 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is heavier than everyone here, but Liam is not being ranked. Alice is faster than Emil. Alice is faster than Chen. Goran is faster than Emil. Chen is faster than Goran. Hana is faster than Ola. Emil is faster than Ola. Priya is faster than Alice. Alice is faster than Goran. Emil is faster than Hana. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 128ms · $0.000 · 69 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Tessa. Tessa is number 2 in the queue. Priya is directly ahead of Bruno. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 2.1s · $0.000 · 92 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Mona. Alice is number 2 in the queue. Chen is directly ahead of Alice. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 100% · 1.0s · $0.000 · 89 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 1 in the queue. Goran is directly ahead of Liam. Quinn is directly ahead of Goran. 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 1.7s · $0.000 · 219 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Goran is faster than Dara. Farah is faster than Ola. Nadir is faster than Ola. Ola is faster than Goran. Liam is faster than Goran. Chen is heavier than everyone here, but Chen is not being ranked. Ola is faster than Liam. Hana is faster than Dara. Goran is faster than Hana. Nadir is faster than Farah. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 100% · 199ms · $0.000 · 235 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Liam. Sami is faster than Farah. Farah is faster than Ola. Liam is faster than Farah. Quinn is faster than Farah. Tessa is faster than Farah. Mona is taller than everyone here, but Mona is not being ranked. Alice is faster than Tessa. Liam is faster than Sami. Sami 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 239ms · $0.000 · 222 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Priya. Goran is faster than Tessa. Goran is faster than Mona. Chen is faster than Priya. Priya is faster than Ines. Tessa is faster than Chen. Sami is faster than Goran. Mona is faster than Tessa. Jonas is heavier than everyone here, but Jonas is not being ranked. Mona is faster 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 1.6s · $0.000 · 106 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 4 in the queue. Mona is directly ahead of Goran. Dara is directly ahead of Bruno. Goran is directly ahead of Dara. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 106ms · $0.000 · 82 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Tessa. Tessa is directly ahead of Ines. Mona 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 705ms · $0.000 · 153 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Sami. Chen is taller than Priya. Emil is older than everyone here, but Emil is not being ranked. Quinn is taller than Chen. Sami is taller than Quinn. Chen is taller than Priya. Tessa is taller than Goran. Goran is taller than Quinn. Chen is taller than Farah. Farah is taller than Priya. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.position-v1conf 100% · 654ms · $0.000 · 73 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Farah. Farah is number 3 in the queue. Ines is directly ahead of Chen. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.order-v2conf 100% · 427ms · $0.000 · 184 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Goran. Priya is taller than Ola. Ola is taller than Goran. Mona is taller than Dara. Mona is taller than Priya. Dara is taller than Priya. Dara is taller than Goran. Farah is taller than Emil. Emil is taller than Mona. Nadir is faster than everyone here, but Nadir 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 211ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 1 in the queue. Jonas is directly ahead of Kira. Kira is directly ahead of Tessa. 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 61ms · $0.000 · 105 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Nadir. Jonas is directly ahead of Quinn. Quinn is directly ahead of Tessa. Nadir 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:
Quinncorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 183 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Mona. Chen is taller than Mona. Goran is taller than Mona. Mona is taller than Ines. Goran is taller than Sami. Sami is taller than Priya. Priya is taller than Chen. Chen is taller than Ines. Dara is heavier than everyone here, but Dara is not being ranked. Emil is taller than Goran. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.order-v2conf 100% · 191ms · $0.000 · 180 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Chen. Kira is heavier than Farah. Kira is heavier than Alice. Alice is heavier than Ines. Chen is heavier than Farah. Tessa is heavier than Rosa. Ines is heavier than Farah. Rosa is heavier than Kira. Liam is older than everyone here, but Liam is not being ranked. Tessa is heavier than Ines. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1conf 100% · 1.5s · $0.000 · 98 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Farah. Ola is number 1 in the queue. Kira is directly ahead of Sami. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 810ms · $0.000 · 71 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Emil. Emil is number 3 in the queue. Farah is directly ahead of Kira. 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:
Kiracorrectreasoning.deduction.order-v2conf 100% · 200ms · $0.000 · 170 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Rosa. Emil is taller than Mona. Farah is taller than Bruno. Jonas is taller than Farah. Emil is taller than Rosa. Bruno is taller than Emil. Kira is heavier than everyone here, but Kira is not being ranked. Bruno is taller than Quinn. Quinn is taller than Rosa. Mona is taller than Quinn. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.order-v2conf 100% · 235ms · $0.000 · 140 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Liam. Rosa is taller than Chen. Alice is taller than Mona. Liam is taller than Mona. Chen is taller than Farah. Liam is taller than Alice. Farah is taller than Alice. Sami is taller than Rosa. Dara is older than everyone here, but Dara is not being ranked. Liam is taller than Mona. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1conf 100% · 118ms · $0.000 · 76 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 1 in the queue. Priya is directly ahead of Dara. Dara is directly ahead of Alice. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.position-v1conf 100% · 780ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 1 in the queue. Farah is directly ahead of Rosa. Priya is directly ahead of Farah. 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:
Daracorrectreasoning.deduction.order-v2conf 100% · 676ms · $0.000 · 256 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Alice. Jonas is older than Tessa. Liam is faster than everyone here, but Liam is not being ranked. Tessa is older than Farah. Nadir is older than Alice. Ola is older than Nadir. Nadir is older than Jonas. Farah is older than Chen. Tessa is older than Chen. Nadir is older than Tessa. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.order-v2conf 100% · 89ms · $0.000 · 209 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Chen. Quinn is older than Ola. Ola is older than Mona. Quinn is older than Ines. Chen is older than Ines. Ola is older than Tessa. Ines is older than Ola. Nadir is faster than everyone here, but Nadir is not being ranked. Quinn is older than Dara. Mona is older than Tessa. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 438ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 2 in the queue. Emil is directly ahead of Rosa. Sami is directly ahead of Hana. 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:
Hanacorrectreasoning.deduction.position-v1anchorconf 100% · 1.1s · $0.000 · 100 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 257ms · $0.000 · 134 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 349ms · $0.000 · 308 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 862ms · $0.000 · 86 tok
model answer:
Farahterminal 29/30 correct
correctterminal.exit.chain-v1conf 100% · 88ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f app.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
G
exit:1correctterminal.fs.tree-v1conf 100% · 248ms · $0.000 · 881 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/logs`): ``` /proj/conf/index.txt /proj/main.md /proj/notes.cfg /proj/src/report.txt /proj/src/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm main.md rm src/report.txt mv conf/index.txt conf/ cd conf touch ../../proj/logs/util-4.log cd ../../proj/logs mv ../../proj/src/util.cfg ../../proj/src/todo-9.md touch ../../proj/conf/report-8.cfg touch ../../proj/src/main-1.cfg cd ../../proj ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/index.txt
/proj/conf/report-8.cfg
/proj/logs/util-4.log
/proj/notes.cfg
/proj/src/main-1.cfg
/proj/src/todo-9.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.5s · $0.000 · 475 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
jon,eng,47,43
pam,ops,25,34
cy,eng,64,58
ivy,sales,34,20
kim,eng,51,58
fay,legal,20,11
lou,legal,95,26
bo,ops,111,78
dev,eng,18,32
max,hr,85,82
eli,eng,5,54
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 76 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
0correctterminal.fs.tree-v1conf 100% · 339ms · $0.000 · 643 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/docs`): ``` /proj/assets/notes.cfg /proj/build/setup.cfg /proj/build/todo.cfg /proj/index.md /proj/main.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 touch build/todo-8.cfg cd docs rm ../../proj/index.md rm ../../proj/assets/notes.cfg touch ../../proj/build/index-7.cfg touch ../../proj/build/todo-4.txt cd ../../proj mv main.txt setup-9.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/index-7.cfg
/proj/build/setup.cfg
/proj/build/todo-4.txt
/proj/build/todo-8.cfg
/proj/build/todo.cfg
/proj/setup-9.logcorrectterminal.exit.chain-v1conf 100% · 447ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f data.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
H
exit:1correctterminal.pipeline.predict-v1conf 100% · 85ms · $0.000 · 331 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` fay,sales,34,30 max,legal,54,88 gus,sales,26,82 hal,eng,74,98 ivy,legal,33,70 lou,sales,33,82 ana,legal,11,12 kim,sales,48,85 bo,ops,27,56 eli,eng,47,84 ``` 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:
fay,34
gus,26correctterminal.fs.tree-v1conf 100% · 567ms · $0.000 · 706 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/assets`): ``` /proj/assets/draft.log /proj/assets/setup.cfg /proj/docs/notes.cfg /proj/main.cfg /proj/report.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm main.cfg cp report.md assets/ cd assets rm ../../proj/report.md cd ../../proj/conf rm ../../proj/docs/notes.cfg mkdir -p ../../proj/conf-4 cd ../../proj/assets touch ../../proj/docs/util-5.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft.log
/proj/assets/report.md
/proj/assets/setup.cfg
/proj/docs/util-5.mdcorrectterminal.exit.chain-v1conf 100% · 247ms · $0.001 · 2035 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 test -f tmp.txt && echo A || echo B false && echo C || echo D test -f tmp.txt && echo E || echo F test -f tmp.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
D
F
H
Z
exit:0correctterminal.exit.chain-v1conf 100% · 916ms · $0.000 · 24 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 test -f ghost.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 1.4s · $0.000 · 288 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ned,eng,59,78 dev,legal,5,95 pam,ops,42,15 fay,hr,44,71 ivy,hr,13,92 gus,hr,17,41 ana,legal,64,77 max,eng,70,96 lou,legal,41,78 kim,legal,120,67 hal,sales,84,20 bo,legal,7,72 cy,hr,24,82 eli,sales,31,42 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
max,70
ned,59correctterminal.fs.tree-v1conf 100% · 56ms · $0.000 · 541 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/conf`): ``` /proj/conf/todo.cfg /proj/docs/main.cfg /proj/docs/report.txt /proj/draft.txt /proj/index.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv docs/report.txt ./ cd . mkdir -p conf-2 mkdir -p build-5 mkdir -p build-5/src-2 touch build-5/draft-3.txt rm index.cfg cd logs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build-5/draft-3.txt
/proj/conf/todo.cfg
/proj/docs/main.cfg
/proj/draft.txt
/proj/report.txtcorrectterminal.fs.tree-v1conf 100% · 1.6s · $0.000 · 773 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/src`): ``` /proj/conf/notes.log /proj/index.txt /proj/src/main.log /proj/src/report.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 rm util.cfg cd assets mkdir -p build-9 touch ../../proj/conf/main-2.log cd . touch build-9/util-9.log touch setup-3.txt touch ../../proj/conf/util-3.md mkdir -p ../../proj/conf/src-5 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/build-9/util-9.log
/proj/assets/setup-3.txt
/proj/conf/main-2.log
/proj/conf/notes.log
/proj/conf/util-3.md
/proj/index.txt
/proj/src/main.log
/proj/src/report.mdcorrectterminal.pipeline.predict-v1conf 100% · 151ms · $0.000 · 289 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,legal,102,51 gus,legal,78,30 dev,legal,107,53 bo,legal,64,17 max,hr,40,78 lou,sales,106,26 ivy,hr,105,26 jon,sales,49,39 fay,ops,50,45 cy,sales,105,45 oli,sales,80,27 ned,ops,20,88 ana,sales,14,76 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' 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:
fay,50
ned,20correctterminal.exit.chain-v1conf 100% · 138ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
H
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 1.1s · $0.000 · 361 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` bo,eng,37,82 jon,legal,64,82 pam,eng,33,29 oli,ops,74,20 lou,ops,13,62 max,eng,61,12 cy,hr,105,69 eli,sales,94,54 ivy,legal,4,40 gus,sales,63,36 kim,legal,84,72 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' 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:
gus,sales,63,36
eli,sales,94,54correctterminal.fs.tree-v1conf 100% · 1.1s · $0.000 · 916 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`): ``` /proj/assets/draft.md /proj/docs/notes.txt /proj/docs/todo.txt /proj/report.txt /proj/setup.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp docs/todo.txt ./ cd build mkdir -p ../../proj/assets/docs-6 touch ../../proj/assets/docs-6/index-7.md mkdir -p ../../proj/assets/docs-6/build-4 cp ../../proj/assets/draft.md ../../proj/docs/ touch ../../proj/assets/docs-6/report-1.cfg cp ../../proj/docs/notes.txt ../../proj/assets/docs-6/build-4/ cd ../../proj mv docs/draft.md docs/util-8.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/docs-6/build-4/notes.txt
/proj/assets/docs-6/index-7.md
/proj/assets/docs-6/report-1.cfg
/proj/assets/draft.md
/proj/docs/notes.txt
/proj/docs/todo.txt
/proj/docs/util-8.cfg
/proj/report.txt
/proj/setup.txt
/proj/todo.txtcorrectterminal.exit.chain-v1conf 100% · 642ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B true && echo C || echo D test -f app.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
C
E
H
exit:1correctterminal.pipeline.predict-v1conf 100% · 810ms · $0.000 · 441 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,eng,95,52 jon,sales,25,27 ana,eng,25,65 kim,eng,69,60 eli,legal,53,12 cy,sales,90,34 fay,sales,119,66 dev,legal,92,56 hal,ops,48,68 ``` 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:
hal,48correctterminal.fs.tree-v1conf 100% · 198ms · $0.000 · 690 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/docs`): ``` /proj/assets/index.cfg /proj/docs/report.log /proj/docs/setup.md /proj/notes.log /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch src/main-6.cfg rm notes.log mkdir -p assets-2 mkdir -p docs/conf-3 touch assets-2/report-9.md touch src/report-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-2/report-9.md
/proj/assets/index.cfg
/proj/docs/report.log
/proj/docs/setup.md
/proj/src/main-6.cfg
/proj/src/report-2.md
/proj/util.logcorrectterminal.exit.chain-v1conf 100% · 335ms · $0.000 · 22 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
exit:1wrongterminal.pipeline.predict-v1conf 100% · 137ms · $0.000 · 470 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ned,eng,27,26 kim,sales,12,55 ana,hr,28,34 hal,sales,111,68 lou,hr,74,54 eli,sales,111,59 bo,legal,3,18 pam,sales,98,61 ivy,ops,114,85 dev,eng,113,45 max,legal,3,14 cy,hr,26,55 jon,sales,43,41 ``` 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:
pam,sales,98,61
hal,sales,111,68
eli,sales,111,59correctterminal.fs.tree-v1conf 100% · 103ms · $0.000 · 647 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/conf`): ``` /proj/conf/draft.txt /proj/conf/main.log /proj/conf/notes.txt /proj/setup.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 rm todo.txt mv setup.cfg assets/ rm conf/draft.txt cd conf mv ../../proj/assets/setup.cfg ../../proj/assets/index-2.log touch todo-6.txt cp todo-6.txt ../../proj/logs/ cp ../../proj/logs/todo-6.txt ./ 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/assets/index-2.log
/proj/conf/main.log
/proj/conf/notes.txt
/proj/conf/todo-6.txt
/proj/logs/todo-6.txtcorrectterminal.exit.chain-v1conf 100% · 668ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f app.txt && echo C || echo D test -f tmp.txt && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 380ms · $0.000 · 414 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` pam,legal,30,59 cy,eng,9,14 ivy,hr,39,91 ned,eng,64,95 max,eng,12,34 gus,hr,78,19 oli,ops,98,74 lou,eng,74,66 dev,legal,13,28 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
oli,ops,98,74correctterminal.exit.chain-v1conf 100% · 2.0s · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B true && echo C || echo D grep -q coral notes.txt && echo E || echo F true && 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
E
G
exit:1correctterminal.fs.tree-v1conf 100% · 110ms · $0.000 · 800 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/conf`): ``` /proj/conf/main.md /proj/conf/report.cfg /proj/notes.log /proj/setup.cfg /proj/src/index.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm conf/report.cfg touch src/main-2.md rm src/index.md touch conf/notes-1.log cd src mv ../../proj/notes.log ../../proj/draft-8.txt cd ../../proj/conf cp main.md ../../proj/build/ cd ../../proj/build touch todo-8.log mkdir -p build-9 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/main.md
/proj/build/todo-8.log
/proj/conf/main.md
/proj/conf/notes-1.log
/proj/draft-8.txt
/proj/setup.cfg
/proj/src/main-2.mdcorrectterminal.fs.tree-v1anchorconf 100% · 877ms · $0.000 · 713 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.pipeline.predict-v1anchorconf 100% · 225ms · $0.000 · 392 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 319ms · $0.000 · 24 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 128ms · $0.000 · 324 tok
model answer:
1vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 100% · 1.5s · $0.000 · 115 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
86correctvision.ocr.code-hunt-v1conf 100% · 411ms · $0.000 · 37 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MF77YF4correctvision.ocr.code-hunt-v1conf 100% · 2.0s · $0.000 · 25 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
KXAYHCcorrectvision.ocr.table-read-v1conf 100% · 890ms · $0.000 · 111 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
68correctvision.ocr.table-read-v1conf 100% · 1.0s · $0.000 · 101 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
88correctvision.ocr.code-hunt-v1conf 100% · 2.4s · $0.000 · 35 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9AVHD3DFcorrectvision.ocr.table-read-v1conf 100% · 914ms · $0.000 · 92 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
61correctvision.ocr.code-hunt-v1conf 100% · 1.8s · $0.000 · 40 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
F4FD4X7correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 99 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84correctvision.ocr.code-hunt-v1conf 100% · 2.2s · $0.000 · 49 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
W39T33Wcorrectvision.ocr.table-read-v1conf 100% · 5.8s · $0.000 · 89 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
82correctvision.ocr.table-read-v1conf 100% · 1.7s · $0.000 · 116 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
141correctvision.ocr.table-read-v1conf 100% · 491ms · $0.000 · 212 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
72correctvision.ocr.code-hunt-v1conf 100% · 313ms · $0.000 · 37 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VHAAEDcorrectvision.ocr.code-hunt-v1conf 100% · 307ms · $0.000 · 37 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
H4VTY3correctvision.ocr.code-hunt-v1conf 100% · 2.4s · $0.000 · 31 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
7DCFDNVMcorrectvision.ocr.table-read-v1conf 100% · 527ms · $0.000 · 135 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
88correctvision.ocr.code-hunt-v1conf 100% · 672ms · $0.000 · 38 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VU43NXCWcorrectvision.ocr.table-read-v1conf 100% · 510ms · $0.000 · 91 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
85correctvision.ocr.table-read-v1conf 100% · 2.1s · $0.000 · 101 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
77correctvision.ocr.code-hunt-v1conf 100% · 315ms · $0.000 · 31 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
73TPVUARcorrectvision.ocr.table-read-v1conf 100% · 131ms · $0.000 · 176 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
245correctvision.ocr.code-hunt-v1conf 100% · 545ms · $0.000 · 41 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3XF4TF9Ncorrectvision.ocr.code-hunt-v1anchorconf 100% · 10.0s · $0.000 · 31 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1conf 100% · 210ms · $0.000 · 134 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
38correctvision.ocr.code-hunt-v1conf 100% · 480ms · $0.000 · 38 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
74JAKRcorrectvision.ocr.code-hunt-v1conf 100% · 2.3s · $0.000 · 36 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9EPWWKcorrectvision.ocr.code-hunt-v1anchorconf 100% · 1.1s · $0.000 · 79 tok
model answer:
YH9E4AWPcorrectvision.ocr.table-read-v1anchorconf 100% · 480ms · $0.000 · 84 tok
model answer:
15correctvision.ocr.table-read-v1anchorconf 100% · 460ms · $0.000 · 99 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit736
- 2026-08-05v0.2.0index_fit738
- 2026-08-05v0.2.0index_fit738