agency · T3 · agency · scaffold L2

Filter and write passed

ag_t3_003

Score

100%

Turns

6 useful · 0 useless

Interventions

harness hints (HHI)

Tool calls

2/2

matched expected trajectory

Errors

0/0

recovered / total

Latency

1.81s

Tokens

1,149

0 reasoning

Cost

$0.00015

Trajectory timeline

Turn-by-turn replay · useless turns annotated with the classifier reason

#0modeluseful
plan
#1modeluseful
→ read_file
#2tooluseful
read_file({"path":"inventory.csv"}) → sku,qty,price A100,4,199 B200,0,49 C300,12,15
→ sku,qty,price A100,4,199 B200,0,49 C300,12,15
#3modeluseful
→ write_file
#4tooluseful
write_file({"path":"restock.txt","content":"B200-x"}) → Wrote 6 bytes to restock.txt
→ Wrote 6 bytes to restock.txt
#5modeluseful
done

Prompt / output inspector

instruction

Read inventory.csv. For every SKU whose qty is 0, write its SKU into a new file restock.txt (one per line). Reply with the SKU(s) written.

final output

done

expected

B200

expected trajectory

read_file:inventory.csv
write_file:restock.txt=B200

Spans

6 recorded · tokens & cost per span

plan505ms
86 in · 37 cached · 15 out · $0.00002 · ttft 363ms
turn#1478ms
207 in · 89 cached · 15 out · $0.00004 · ttft 356ms
read_file6ms
turn#2445ms
227 in · 98 cached · 20 out · $0.00005 · ttft 276ms
write_file6ms
turn#3375ms
248 in · 106 cached · 1 out · $0.00004 · ttft 365ms

Events

task_started{"trial":0,"taskId":"ag_t3_003","scaffold":"L2"}
replan{"plan":"1. read_file({\"path\":\"inventory.csv\"})"}
task_finished{"score":1,"passed":true,"taskId":"ag_t3_003","failureLabel":null}

Scorer metadata

{
 "toolLog": [
  "read_file({\"path\":\"inventory.csv\"})",
  "write_file({\"path\":\"restock.txt\",\"content\":\"B200-x\"})"
 ],
 "scaffold": "L2"
}

Agencystate_checkdifficulty 3/5read_filewrite_filelist_files