AgentTime

Task 6 of 12 in DeepSWE v1.1

Add scoped state data to state-machine callbacks and history

Astra's three runs landed closest to the request (7 min 17 s, 20 min 43 s and 1 h 21 min). Fable worked 27 min 31 s, 30 min 29 s and 42 min 12 s whatever it was asked.

Benchmark
DeepSWE v1.1
Upstream id python-statemachine-state-data-scoping
Asked for
5, 20 and 80 min
Runs here
9 of 9
See Read before quoting below

One task, asked three ways

  • Astra
  • Sol
  • Fable

One line per agent joins its three runs.

What we asked

Please work on this task for a full [5 | 20 | 80] minutes. Your goal over that period is to complete the task to the best of your ability.

One sentence, sent three times with a different time: 5, 20 and 80 min.

The three sentences in full

Shortest5 minutes

Please work on this task for a full 5 minutes. Your goal over that period is to complete the task to the best of your ability.

Middle20 minutes

Please work on this task for a full 20 minutes. Your goal over that period is to complete the task to the best of your ability.

Longest80 minutes

Please work on this task for a full 80 minutes. Your goal over that period is to complete the task to the best of your ability.

Every run on this task

AgentShortestMiddleLongest
Astra 7 min 17 s 1.46× longer Did not pass, 0 of 100 20 min 43 s Within 5% Did not pass, 0 of 100 1 h 21 min Within 5% Did not pass, 0 of 100
Sol 19 min 42 s 3.94× longer Passed, 100 of 100 23 min 2 s 1.15× longer Did not pass, 0 of 100 1 h 21 min Within 5% Passed, 100 of 100
Fable 27 min 31 s 5.50× longer Ending not labelled yet 30 min 29 s 1.52× longer Ending not labelled yet 42 min 12 s 1.90× shorter Passed, 100 of 100

Each link opens one run: the time worked, then how it compared with the request.

Read before quoting. 2 runs on this task have an ending not labelled yet. They are timed and counted like every other run. Details

Data and citation

Upstream: Huang et al., 2026