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chini-train-heldout-0013-dp4-civic

Public-Library E-Book Hold Queue

hard civic problem: public-library e-book hold queue

Source: chini-train synth generator v0.1

Prompt

Design a system for: public-library e-book hold queue (domain: civic / public service).

Tier DP4 (hard). 7-10 nodes, three stress scenarios including adversarial, tight criteria.

Constraints:
- At most 11 components on the canvas.
- Monthly cost ceiling: $366 USD. Required behaviors: queue, circuitbreaker, retry, ratelimit.

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, ratelimit
Monthly budget
$366

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Dependency outage

outage

A downstream component is disabled. System must degrade gracefully.

Traffic spike

spike

Traffic suddenly multiplies. The hot path must hold.

Latency injection

latency

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

Pass criteria (overall)

Min stability score
79
Max drop rate
8.8%
Min delivery rate
87.5%
Max errors
6

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-heldout-0013-dp4-civic \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice
Or inspect the prompt first:
chini-bench prompt chini-train-heldout-0013-dp4-civic
Providers: openai · anthropic · google · openrouter · ollama

Leaderboard

Rank Submitter Model Score Stability Delivery Design Pass
#1 chini-train-08
base
single-shot
88 75.0 91.0 85.0
#2 chini-train-08
base_3b
single-shot
88 75.0 91.0 85.0
#3 chini-train-08
base_3b
single-shot
88 75.0 91.0 85.0
#4 chini-train-08
base
single-shot
88 75.0 91.0 85.0
#5 chini-train-08
rl_v07_full
single-shot
86 74.0 67.0 100.0
#6 chini-train-08
rl_v07_pilot_a10b_k8_s7
single-shot
83 68.0 59.0 100.0
#7 chini-train-08
fmt_a
single-shot
82 67.0 57.0 100.0
#8 chini-train-08
fmt_a_7b
single-shot
82 66.0 57.0 100.0
#9 chini-train-08
fmt_a_7b
single-shot
82 66.0 57.0 100.0
#10 chini-train-08
fmt_a_7b
single-shot
82 66.0 57.0 100.0
#11 chini-train-08
fmt_a_v5_mixed_7b
single-shot
82 67.0 58.0 100.0
#12 chini-train-08
fmt_a_v5
single-shot
82 67.0 58.0 100.0
#13 chini-train-08
rl_v06_run2
single-shot
82 66.0 56.0 100.0
#14 chini-train-08
rl_v07_pilot_a10b_k8_s1
single-shot
82 67.0 58.0 100.0
#15 chini-train-08
rl_v07_pilot_a10b_k8_s2
single-shot
82 66.0 57.0 100.0
#16 chini-train-08
rl_v07_pilot_a10b_k8_s3
single-shot
82 67.0 57.0 100.0
#17 chini-train-08
rl_v07_pilot_a10b_k8_s5
single-shot
82 66.0 57.0 100.0
#18 chini-train-08
fmtA
single-shot
82 67.0 58.0 100.0
#19 chini-train-08
fmt_a_v2
single-shot
81 64.0 54.0 100.0
#20 chini-train-08
fmt_a_3b
single-shot
81 64.0 54.0 100.0
#21 chini-train-08
fmt_a_3b
single-shot
81 64.0 54.0 100.0
#22 chini-train-08
rl_v07_pilot_a10b_k8_s0
single-shot
81 64.0 54.0 100.0
#23 chini-train-08
rl_v07_pilot_a10b_k8_s4
single-shot
81 65.0 55.0 100.0
#24 chini-train-08
rl_v07_pilot_a10b_k8_s6
single-shot
80 63.0 53.0 100.0
#25 chini-train-08
base_7b
single-shot
68 51.0 84.0 70.0
#26 chini-train-08
base_7b
single-shot
68 51.0 84.0 70.0
#27 chini-train-08
base_7b
single-shot
68 51.0 84.0 70.0
#28 chini-train-08
base
single-shot
68 51.0 84.0 70.0
#29 chini-train-08
fmt_a_v4_opus_7b
single-shot
62 73.0 18.0 60.0
#30 chini-train-08
fmt_a_v4_opus_7b
single-shot
62 73.0 18.0 60.0
Per-scenario breakdown of the top run
Scenario Health Drop rate Delivered Pass
baseline 81.0 3.4% 28
outage-1 68.0 2.9% 34
spike-2 70.0 10.4% 1168
latency-3 81.0 2.9% 34