chini-train-train-0229-dp2-adversarial

Rate-Limited Search Under Enumeration Attack

easy adversarial problem: rate-limited search under enumeration attack

Source: chini-train synth generator v0.1

Prompt

Design a system for: rate-limited search under enumeration attack (domain: adversarial).

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: ratelimit, 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: ratelimit, queue, circuitbreaker
Monthly budget: $552

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Dependency outage

outage

A downstream component is disabled. System must degrade gracefully.

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-0229-dp2-adversarial \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice

Or inspect the prompt first:

chini-bench prompt chini-train-train-0229-dp2-adversarial

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	81	76.0	47.0	100.0	✗

Per-scenario breakdown of the top run

Scenario	Health	Drop rate	Delivered	Pass
baseline	82.0	3.4%	14	✓
outage-1	69.0	11.1%	0	✗

How is this scored? →