chini-train-heldout-0006-dp3-workflow

Warehouse Picking Line With Single Packer Bottleneck

moderate workflow problem: warehouse picking line with single packer bottleneck

Source: chini-train synth generator v0.1

Prompt

Design a system for: warehouse picking line with single packer bottleneck (domain: ops / physical workflow).

Tier DP3 (moderate). 6-9 nodes, two stress scenarios (spike + one of cascade/outage), realistic criteria. Sweet spot.

Constraints:
- At most 10 components on the canvas.
- Monthly cost ceiling: $459 USD. Required behaviors: queue, circuitbreaker, retry.

Return a Chinilla CanvasState that handles the listed scenarios. Include trigger components for each entry point and at least one terminal storage / sink so the simulator can score delivery.

Constraints

Max components: 10
Required behaviors: queue, circuitbreaker, retry
Monthly budget: $459

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Cascading failure

cascade

An initial fault propagates through dependent components.

Adversarial burst

adversarial

Hostile packets injected on top of clean traffic. Defenses must block them without dropping good requests.

Pass criteria (overall)

Min stability score: 73
Max drop rate: 11.2%
Min delivery rate: 83.7%
Max errors: 8

Submit your run

Submissions go through the chini-bench CLI. It calls your model with your key, scores the result locally, and posts to the leaderboard. Nothing leaves your machine except the canvas it produces.

End-to-end:

pip install git+https://github.com/collapseindex/chini-bench-cli.git
export OPENROUTER_API_KEY=...

chini-bench run chini-train-heldout-0006-dp3-workflow \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice

Or inspect the prompt first:

chini-bench prompt chini-train-heldout-0006-dp3-workflow

Providers: openai · anthropic · google · openrouter · ollama

Leaderboard

Rank	Submitter	Model	Score	Stability	Delivery	Design	Pass
#1	chini-train-08	fmt_a_7b single-shot	82	55.0	76.0	100.0	✗
#2	chini-train-08	fmt_a_7b single-shot	82	55.0	76.0	100.0	✗
#3	chini-train-08	fmt_a_7b single-shot	82	55.0	76.0	100.0	✗
#4	chini-train-08	fmt_a_v5_mixed_7b single-shot	82	55.0	76.0	100.0	✗
#5	chini-train-08	fmt_a_v5 single-shot	82	55.0	76.0	100.0	✗
#6	chini-train-08	rl_v06_run2 single-shot	82	55.0	76.0	100.0	✗
#7	chini-train-08	rl_v07_pilot_a10b_k8_s0 single-shot	82	55.0	76.0	100.0	✗
#8	chini-train-08	rl_v07_pilot_a10b_k8_s2 single-shot	82	55.0	76.0	100.0	✗
#9	chini-train-08	rl_v07_pilot_a10b_k8_s3 single-shot	82	56.0	76.0	100.0	✗
#10	chini-train-08	rl_v07_pilot_a10b_k8_s6 single-shot	82	55.0	76.0	100.0	✗
#11	chini-train-08	rl_v07_pilot_a10b_k8_s7 single-shot	82	55.0	76.0	100.0	✗
#12	chini-train-08	fmtA single-shot	82	55.0	76.0	100.0	✗
#13	chini-train-08	rl_v07_full single-shot	82	55.0	76.0	100.0	✗
#14	chini-train-08	rl_v07_pilot_a10b_k8_s1 single-shot	81	54.0	76.0	100.0	✗
#15	chini-train-08	rl_v07_pilot_a10b_k8_s4 single-shot	81	54.0	76.0	100.0	✗
#16	chini-train-08	rl_v07_pilot_a10b_k8_s5 single-shot	76	56.0	75.0	75.0	✗
#17	chini-train-08	fmt_a single-shot	72	63.0	67.0	75.0	✗
#18	chini-train-08	base_7b single-shot	72	48.0	64.0	75.0	✗
#19	chini-train-08	base_7b single-shot	72	48.0	64.0	75.0	✗
#20	chini-train-08	base_7b single-shot	72	48.0	64.0	75.0	✗
#21	chini-train-08	base single-shot	72	48.0	64.0	75.0	✗
#22	chini-train-08	base single-shot	71	47.0	61.0	75.0	✗
#23	chini-train-08	fmt_a_v2 single-shot	71	72.0	25.0	75.0	✗
#24	chini-train-08	base_3b single-shot	71	47.0	61.0	75.0	✗
#25	chini-train-08	fmt_a_3b single-shot	71	72.0	25.0	75.0	✗
#26	chini-train-08	base_3b single-shot	71	47.0	61.0	75.0	✗
#27	chini-train-08	fmt_a_3b single-shot	71	72.0	25.0	75.0	✗
#28	chini-train-08	base single-shot	71	47.0	61.0	75.0	✗
#29	chini-train-08	fmt_a_v4_opus_7b single-shot	68	49.0	45.0	75.0	✗
#30	chini-train-08	fmt_a_v4_opus_7b single-shot	68	49.0	45.0	75.0	✗

Per-scenario breakdown of the top run

Scenario	Health	Drop rate	Delivered	Pass
baseline	81.0	1.7%	29	✓
cascade-1	36.0	53.2%	11	✗
adversarial-2	47.0	94.3%	74	✗

How is this scored? →