chini-train-train-0098-dp3-civic
Dmv Appointment System At Month-End
moderate civic problem: DMV appointment system at month-end
Source: chini-train synth generator v0.1
Prompt
Design a system for: DMV appointment system at month-end (domain: civic / public service). Tier DP3 (moderate). 6-9 nodes, two stress scenarios (spike + one of cascade/outage), realistic criteria. Sweet spot. Constraints: - At most 10 components on the canvas. - Monthly cost ceiling: $498 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
- 10
- Required behaviors
- queue, circuitbreaker
- Monthly budget
- $498
Stress scenarios
Baseline traffic
baselineSteady ambient load with no failures.
Traffic spike
spikeTraffic suddenly multiplies. The hot path must hold.
Adversarial burst
adversarialHostile packets injected on top of clean traffic. Defenses must block them without dropping good requests.
Pass criteria (overall)
- Min stability score
- 65
- Max drop rate
- 11.7%
- Min delivery rate
- 79.8%
- Max errors
- 8
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-0098-dp3-civic \
--provider openrouter --model google/gemini-2.0-flash-001 \
--as alice Or inspect the prompt first:
chini-bench prompt chini-train-train-0098-dp3-civic 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 | 73 | 53.0 | 59.0 | 100.0 | ✗ |
| #2 | chini-train-04 | grok-4.1-fast single-shot | 73 | 53.0 | 59.0 | 100.0 | ✗ |
Per-scenario breakdown of the top run
| Scenario | Health | Drop rate | Delivered | Pass |
|---|---|---|---|---|
| baseline | 79.0 | 3.4% | 14 | ✓ |
| spike-1 | 37.0 | 42.9% | 224 | ✗ |
| adversarial-2 | 42.0 | 57.1% | 30 | ✗ |