LoopBench

The public scoreboard for loop engineering.

Fixed tasks. Fixed seeds. Observed LES. Submissions anyone can audit.

No hand-waved demos — bring an LSS spec, get a number, climb the leaderboard.

pip install loopbench loopgym
loopbench list

Run your first score · Leaderboard · Suite overview

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What LoopBench measures

You submit a loop specification (LSS YAML). LoopBench:

1. Runs it through LoopGym on fixed task instances
2. Computes Success@k and LES_obs across eight categories
3. Validates your results.json against a published schema
4. Ranks you on the public leaderboard

loopbench run --task LB-CR-1 --spec your-loop.yaml --seeds 0,1,2,3,4 -o results.json
loopbench validate results.json
loopbench rank leaderboard/entries.json

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The measurement stack

flowchart LR
  YOU["Your LSS spec"]
  LB["LoopBench<br/>tasks · scoring · conformance"]
  LG["LoopGym<br/>SimEnv execution"]
  OUT["results.json → leaderboard"]

  YOU --> LB
  LB --> LG
  LG --> LB
  LB --> OUT

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Layer	Owns	Repo
Spec	LSS schema, LES formulas	Loop Core Engineering
Data	Trajectories (holdout v0.2)	LoopNet
Runtime	env.run_episode()	LoopGym
Observability	LTF traces, iteration metrics	loop-observability
Measurement	Tasks, LES_obs, anti-gaming	LoopBench

LoopBench defines and scores. LoopGym runs. Never the other way around.

New to the stack? Start with the LoopNet end-to-end tutorial.

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Tasks (v0.1)

ID	Name	What it exposes
LB-CR-1	Code repair	Can your loop fix broken code under verify pressure?
LB-RS-1	Research synthesis	Quality vs. cost on structured briefs
LB-MA-1	Multi-agent debate	Autonomy + coordination under evaluator scrutiny

Five seeds per task. Details in tasks/.

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Score in 2 minutes

pip install loopbench loopgym

loopbench list

loopbench run \
  --task LB-CR-1 \
  --spec submissions/examples/spec-fast-loop.yaml \
  --seeds 0,1,2,3,4 \
  -o results.json

loopbench validate results.json

Submit to the leaderboard: open a PR adding your entry to leaderboard/entries.json.

v0.1 accepts SimEnv submissions only (fully reproducible, no API keys). LiveEnv tier: v0.2.

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Metrics explained

Metric	Meaning
Success@k	Fraction of instances reaching goal threshold
LES_obs	Observed composite ∈ [0, 1] — eight categories
Cost	Estimated USD from LSS cost limits
Robustness	Quality retention across seeds

Display scale 0–100 is optional (les × 100).

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Who this is for

You are…	LoopBench gives you…
Loop designer	A number you can improve release-over-release
Framework author	A neutral arena — not your own benchmark
Researcher	Reproducible tasks + published submission schema
Team lead	Comparable scores across designs and vendors

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Citation

@software{loopbench2026,
  title={LoopBench: Benchmark Suite for Loop Engineering},
  author={Malpani, Kanak},
  year={2026},
  url={https://pypi.org/project/loopbench/}
}

_{MIT · v0.1 · Contributing · Security · Status}