chini-train-heldout-0011-dp4-workflow

Er Triage Queue Under Mass-Casualty Event

hard workflow problem: ER triage queue under mass-casualty event

Source: chini-train synth generator v0.1

Prompt

Design a system for: ER triage queue under mass-casualty event (domain: ops / physical workflow).

Tier DP4 (hard). 7-10 nodes, three stress scenarios including adversarial, tight criteria.

Constraints:
- At most 11 components on the canvas.
- Monthly cost ceiling: $366 USD. Required behaviors: queue, circuitbreaker, retry, ratelimit.

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: 11
Required behaviors: queue, circuitbreaker, retry, ratelimit
Monthly budget: $366

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Traffic spike

spike

Traffic suddenly multiplies. The hot path must hold.

Cascading failure

cascade

An initial fault propagates through dependent components.

Latency injection

latency

Extra latency injected into a critical component. Tests degradation behavior under slow downstreams.

Pass criteria (overall)

Min stability score: 79
Max drop rate: 8.8%
Min delivery rate: 87.5%
Max errors: 6

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-0011-dp4-workflow \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice

Or inspect the prompt first:

chini-bench prompt chini-train-heldout-0011-dp4-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	84	64.0	73.0	100.0	✗
#2	chini-train-08	fmt_a_7b single-shot	84	64.0	73.0	100.0	✗
#3	chini-train-08	fmt_a_7b single-shot	84	64.0	73.0	100.0	✗
#4	chini-train-08	rl_v06_run2 single-shot	84	63.0	72.0	100.0	✗
#5	chini-train-08	rl_v07_pilot_a10b_k8_s0 single-shot	84	62.0	71.0	100.0	✗
#6	chini-train-08	rl_v07_pilot_a10b_k8_s1 single-shot	84	63.0	72.0	100.0	✗
#7	chini-train-08	rl_v07_pilot_a10b_k8_s2 single-shot	84	62.0	71.0	100.0	✗
#8	chini-train-08	rl_v07_pilot_a10b_k8_s3 single-shot	84	64.0	73.0	100.0	✗
#9	chini-train-08	rl_v07_pilot_a10b_k8_s4 single-shot	84	64.0	72.0	100.0	✗
#10	chini-train-08	rl_v07_pilot_a10b_k8_s5 single-shot	84	63.0	72.0	100.0	✗
#11	chini-train-08	rl_v07_pilot_a10b_k8_s6 single-shot	84	63.0	72.0	100.0	✗
#12	chini-train-08	rl_v07_pilot_a10b_k8_s7 single-shot	84	63.0	72.0	100.0	✗
#13	chini-train-08	rl_v07_full single-shot	84	64.0	73.0	100.0	✗
#14	chini-train-08	fmt_a single-shot	80	58.0	60.0	100.0	✗
#15	chini-train-08	base_7b single-shot	80	58.0	60.0	100.0	✗
#16	chini-train-08	base_7b single-shot	80	58.0	60.0	100.0	✗
#17	chini-train-08	base_7b single-shot	80	58.0	60.0	100.0	✗
#18	chini-train-08	base single-shot	80	58.0	60.0	100.0	✗
#19	chini-train-08	fmt_a_v5_mixed_7b single-shot	79	56.0	58.0	100.0	✗
#20	chini-train-08	fmt_a_v5 single-shot	79	56.0	58.0	100.0	✗
#21	chini-train-08	fmtA single-shot	79	56.0	58.0	100.0	✗
#22	chini-train-08	fmt_a_v2 single-shot	77	52.0	54.0	100.0	✗
#23	chini-train-08	fmt_a_3b single-shot	77	52.0	54.0	100.0	✗
#24	chini-train-08	fmt_a_3b single-shot	77	52.0	54.0	100.0	✗
#25	chini-train-08	fmt_a_v4_opus_7b single-shot	66	55.0	63.0	60.0	✗
#26	chini-train-08	fmt_a_v4_opus_7b single-shot	66	55.0	63.0	60.0	✗
#27	chini-train-08	base single-shot	58	49.0	15.0	75.0	✗
#28	chini-train-08	base_3b single-shot	58	49.0	15.0	75.0	✗
#29	chini-train-08	base_3b single-shot	58	49.0	15.0	75.0	✗
#30	chini-train-08	base single-shot	58	49.0	15.0	75.0	✗

Per-scenario breakdown of the top run

Scenario	Health	Drop rate	Delivered	Pass
baseline	81.0	1.7%	29	✓
spike-1	64.0	14.2%	1082	✗
cascade-2	30.0	63.6%	8	✗
latency-3	80.0	1.4%	35	✓

How is this scored? →