chini-train-train-0217-dp2-personal

Exercise Habit Loop With Travel Disruption

easy personal problem: exercise habit loop with travel disruption

Source: chini-train synth generator v0.1

Prompt

Design a system for: exercise habit loop with travel disruption (domain: personal systems / habits).

Tier DP2 (easy). 4-6 nodes, single mild stress scenario, moderate criteria.

Constraints:
- At most 8 components on the canvas.
- Monthly cost ceiling: $552 USD. Required behaviors: queue, circuitbreaker.

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: 8
Required behaviors: queue, circuitbreaker
Monthly budget: $552

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Latency injection

latency

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

Pass criteria (overall)

Min stability score: 67
Max drop rate: 13.6%
Min delivery rate: 80.0%
Max errors: 10

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-0217-dp2-personal \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice

Or inspect the prompt first:

chini-bench prompt chini-train-train-0217-dp2-personal

Providers: openai · anthropic · google · openrouter · ollama

Leaderboard

Rank	Submitter	Model	Score	Stability	Delivery	Design	Pass
#1	rl_v07_full_a10	rl_policy custom single-shot	94	83.0	96.0	100.0	✓
#2	rl_v07_full_a10	rl_policy custom single-shot	94	82.0	96.0	100.0	✓
#3	rl_v07_pilot_a10b	rl_policy custom single-shot	92	80.0	91.0	100.0	✓
#4	rl_v07_pilot_a10b	rl_policy custom single-shot	92	80.0	91.0	100.0	✓
#5	rl_v07_pilot_a10b	rl_policy custom single-shot	92	81.0	91.0	100.0	✓
#6	rl_v07_pilot_a10b	rl_policy custom single-shot	92	80.0	91.0	100.0	✓
#7	rl_v07_full_a10	rl_policy custom single-shot	92	80.0	91.0	100.0	✓
#8	rl_v07_full_a10	rl_policy custom single-shot	92	80.0	91.0	100.0	✓
#9	chini-train-03	grok-4.1-fast single-shot	91	78.0	88.0	100.0	✓

Per-scenario breakdown of the top run

Scenario	Health	Drop rate	Delivered	Pass
baseline	84.0	1.7%	29	✓
latency-1	81.0	2.9%	34	✓

How is this scored? →