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
baselineSteady ambient load with no failures.
Traffic spike
spikeTraffic suddenly multiplies. The hot path must hold.
Dependency outage
outageA downstream component is disabled. System must degrade gracefully.
Cascading failure
cascadeAn 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 | ✗ |