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chini-train-train-0127-dp4-personal

Weekly Meal-Prep Pipeline With One Bad Ingredient

hard personal problem: weekly meal-prep pipeline with one bad ingredient

Source: chini-train synth generator v0.1

Prompt

Design a system for: weekly meal-prep pipeline with one bad ingredient (domain: personal systems / habits).

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

Constraints:
- At most 11 components on the canvas.
- Monthly cost ceiling: $415 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
11
Required behaviors
queue, circuitbreaker, retry
Monthly budget
$415

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Traffic spike

spike

Traffic suddenly multiplies. The hot path must hold.

Dependency outage

outage

A downstream component is disabled. System must degrade gracefully.

Cascading failure

cascade

An initial fault propagates through dependent components.

Pass criteria (overall)

Min stability score
72
Max drop rate
9.5%
Min delivery rate
83.9%
Max errors
7

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-train-0127-dp4-personal \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice
Or inspect the prompt first:
chini-bench prompt chini-train-train-0127-dp4-personal
Providers: openai · anthropic · google · openrouter · ollama

Leaderboard

Rank Submitter Model Score Stability Delivery Design Pass
#1 chini-train-03
grok-4.1-fast
single-shot
74 61.0 51.0 100.0
#2 chini-train-04
grok-4.1-fast
single-shot
74 61.0 51.0 100.0
#3 rl_v07_full_a10
rl_policy
custom single-shot
73 60.0 46.0 100.0
#4 rl_v07_full_a10
rl_policy
custom single-shot
73 60.0 46.0 100.0
#5 chini-train-03
opus-4.7
single-shot
68 54.0 36.0 100.0
#6 rl_v07_full_a10
rl_policy
custom single-shot
66 57.0 44.0 75.0
#7 rl_v07_full_a10
rl_policy
custom single-shot
60 54.0 36.0 75.0
Per-scenario breakdown of the top run
Scenario Health Drop rate Delivered Pass
baseline 77.0 1.1% 44
spike-1 62.0 14.3% 1618
outage-2 74.0 1.9% 0
cascade-3 32.0 52.1% 17