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chini-train-heldout-0016-dp5-workflow

Restaurant Kitchen Ticket Flow

brutal workflow problem: restaurant kitchen ticket flow

Source: chini-train synth generator v0.1

Prompt

Design a system for: restaurant kitchen ticket flow (domain: ops / physical workflow).

Tier DP5 (brutal). 9-12 nodes, four scenarios with high intensity, brutal criteria. Failing examples.

Constraints:
- At most 12 components on the canvas.
- Monthly cost ceiling: $273 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
12
Required behaviors
queue, circuitbreaker, retry, ratelimit
Monthly budget
$273

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Adversarial burst

adversarial

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

Dependency outage

outage

A downstream component is disabled. System must degrade gracefully.

Latency injection

latency

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

Traffic spike

spike

Traffic suddenly multiplies. The hot path must hold.

Pass criteria (overall)

Min stability score
86
Max drop rate
6.4%
Min delivery rate
91.2%
Max errors
4

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-0016-dp5-workflow \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice
Or inspect the prompt first:
chini-bench prompt chini-train-heldout-0016-dp5-workflow
Providers: openai · anthropic · google · openrouter · ollama

Leaderboard

Rank Submitter Model Score Stability Delivery Design Pass
#1 chini-train-08
rl_v06_run2
single-shot
87 69.0 74.0 100.0
#2 chini-train-08
rl_v07_pilot_a10b_k8_s0
single-shot
87 69.0 73.0 100.0
#3 chini-train-08
rl_v07_pilot_a10b_k8_s2
single-shot
87 69.0 73.0 100.0
#4 chini-train-08
rl_v07_pilot_a10b_k8_s4
single-shot
87 69.0 74.0 100.0
#5 chini-train-08
rl_v07_pilot_a10b_k8_s5
single-shot
87 69.0 74.0 100.0
#6 chini-train-08
rl_v07_pilot_a10b_k8_s6
single-shot
87 69.0 73.0 100.0
#7 chini-train-08
rl_v07_full
single-shot
87 69.0 74.0 100.0
#8 chini-train-08
rl_v07_pilot_a10b_k8_s7
single-shot
86 67.0 73.0 100.0
#9 chini-train-08
base_7b
single-shot
85 61.0 73.0 100.0
#10 chini-train-08
base_7b
single-shot
85 61.0 73.0 100.0
#11 chini-train-08
base_7b
single-shot
85 61.0 73.0 100.0
#12 chini-train-08
base
single-shot
85 61.0 73.0 100.0
#13 chini-train-08
fmt_a
single-shot
82 63.0 55.0 100.0
#14 chini-train-08
fmt_a_v2
single-shot
81 61.0 53.0 100.0
#15 chini-train-08
fmt_a_3b
single-shot
81 61.0 53.0 100.0
#16 chini-train-08
fmt_a_7b
single-shot
81 61.0 53.0 100.0
#17 chini-train-08
fmt_a_3b
single-shot
81 61.0 53.0 100.0
#18 chini-train-08
fmt_a_7b
single-shot
81 61.0 53.0 100.0
#19 chini-train-08
fmt_a_7b
single-shot
81 61.0 53.0 100.0
#20 chini-train-08
fmt_a_v5_mixed_7b
single-shot
81 61.0 54.0 100.0
#21 chini-train-08
fmt_a_v5
single-shot
81 61.0 54.0 100.0
#22 chini-train-08
rl_v07_pilot_a10b_k8_s1
single-shot
81 61.0 54.0 100.0
#23 chini-train-08
fmtA
single-shot
81 61.0 54.0 100.0
#24 chini-train-08
rl_v07_pilot_a10b_k8_s3
single-shot
80 59.0 51.0 100.0
#25 chini-train-08
fmt_a_v4_opus_7b
single-shot
71 65.0 30.0 70.0
#26 chini-train-08
fmt_a_v4_opus_7b
single-shot
71 65.0 30.0 70.0
#27 chini-train-08
base
single-shot
66 69.0 38.0 60.0
#28 chini-train-08
base_3b
single-shot
66 69.0 38.0 60.0
#29 chini-train-08
base_3b
single-shot
66 69.0 38.0 60.0
#30 chini-train-08
base
single-shot
66 69.0 38.0 60.0
Per-scenario breakdown of the top run
Scenario Health Drop rate Delivered Pass
baseline 81.0 1.7% 29
adversarial-1 48.0 86.7% 111
outage-2 71.0 2.8% 0
latency-3 80.0 1.4% 35
spike-4 64.0 14.3% 1259