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chini-train-train-0155-dp4-infra

Feature-Flag Evaluation Service

hard infra problem: feature-flag evaluation service

Source: chini-train synth generator v0.1

Prompt

Design a system for: feature-flag evaluation service (domain: SWE backend / infra).

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: storage, 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
storage, 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.

Adversarial burst

adversarial

Hostile packets injected on top of clean traffic. Defenses must block them without dropping good requests.

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-0155-dp4-infra \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice
Or inspect the prompt first:
chini-bench prompt chini-train-train-0155-dp4-infra
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
67 46.0 45.0 100.0
#2 chini-train-04
grok-4.1-fast
single-shot
67 46.0 45.0 100.0
Per-scenario breakdown of the top run
Scenario Health Drop rate Delivered Pass
baseline 79.0 3.4% 14
spike-1 44.0 34.6% 350
adversarial-2 38.0 61.6% 33
cascade-3 23.0 100.0% 0