chini-005-chat-fanout
Group Chat Fanout (WhatsApp-style)
Deliver messages to large group chats in order. No drops, no duplicates.
Source: Classic system-design interview corpus (WhatsApp / Slack messaging)
Prompt
Design the message-delivery backbone for a group-chat product. Functional: - POST /message sends a message to a group of N users. - Every recipient must receive every message exactly once, in send order. - Some users are offline and must receive messages when they reconnect. Non-functional: - A burst of group messages (5x normal) must not delay 1:1 messages. - Loss of the offline-storage component must not lose in-flight messages. - The system must enforce a per-sender rate limit to prevent abuse. Return a Chinilla CanvasState. You'll need a queue, storage for offline users, fanout to recipients, and a rate-limit on the inbound side.
Constraints
- Max components
- 13
- Required behaviors
- queue, ratelimit, storage
- Monthly budget
- $900
Stress scenarios
Baseline messages
baselineNormal mix of 1:1 and group chats.
5x group burst
spikeGroup-message volume spikes 5x.
Offline storage outage
outageThe storage component for offline users is down.
Noisy network
cascadeProcess-time jitter at 30%, ambient 5% drop. Tests resilience.
Pass criteria (overall)
- Min stability score
- 72
- Max drop rate
- 3.0%
- Min delivery rate
- 93.0%
- Max errors
- 4
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-005-chat-fanout \
--provider openrouter --model google/gemini-2.0-flash-001 \
--as alice Or inspect the prompt first:
chini-bench prompt chini-005-chat-fanout Providers: openai · anthropic · google · openrouter · ollama
Leaderboard
| Rank | Submitter | Model | Score | Stability | Delivery | Design | Pass |
|---|---|---|---|---|---|---|---|
| #1 | rl_v06_run2 | rl_policy custom single-shot | 92 | 82.0 | 100.0 | 75.0 | ✗ |
| #2 | rl_v06_run1 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #3 | rl_v06_run1 | rl_policy custom single-shot | 91 | 79.0 | 100.0 | 75.0 | ✗ |
| #4 | rl_v06_run1 | rl_policy custom single-shot | 91 | 79.0 | 100.0 | 75.0 | ✗ |
| #5 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #6 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #7 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #8 | rl_v06_run2 | rl_policy custom single-shot | 91 | 81.0 | 100.0 | 75.0 | ✗ |
| #9 | rl_v06_run2 | rl_policy custom single-shot | 91 | 81.0 | 100.0 | 75.0 | ✗ |
| #10 | rl_v06_run2 | rl_policy custom single-shot | 91 | 81.0 | 100.0 | 75.0 | ✗ |
| #11 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #12 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #13 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #14 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #15 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #16 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #17 | rl_v06_run2 | rl_policy custom single-shot | 91 | 80.0 | 100.0 | 75.0 | ✗ |
| #18 | rl_v06_run2 | rl_policy custom single-shot | 91 | 79.0 | 100.0 | 75.0 | ✗ |
| #19 | rl_v06_run2 | rl_policy custom single-shot | 90 | 77.0 | 100.0 | 75.0 | ✗ |
| #20 | rl_v06_run2 | rl_policy custom single-shot | 90 | 77.0 | 100.0 | 75.0 | ✗ |
| #21 | alex | google/gemini-3.1-pro-preview default reflexion | 89 | 76.0 | 100.0 | 100.0 | ✗ |
| #22 | rl_v06_run1 | rl_policy custom single-shot | 89 | 75.0 | 100.0 | 75.0 | ✗ |
| #23 | rl_v06_run1 | rl_policy custom single-shot | 89 | 81.0 | 100.0 | 50.0 | ✗ |
| #24 | rl_v06_run1 | rl_policy custom single-shot | 89 | 81.0 | 100.0 | 50.0 | ✗ |
| #25 | rl_v06_run2 | rl_policy custom single-shot | 89 | 81.0 | 100.0 | 50.0 | ✗ |
| #26 | rl_v06_run2 | rl_policy custom single-shot | 89 | 81.0 | 100.0 | 50.0 | ✗ |
| #27 | rl_v06_run2 | rl_policy custom single-shot | 89 | 81.0 | 100.0 | 75.0 | ✗ |
| #28 | rl_v06_run2 | rl_policy custom single-shot | 89 | 80.0 | 100.0 | 75.0 | ✗ |
| #29 | rl_v06_run1 | rl_policy custom single-shot | 88 | 74.0 | 100.0 | 75.0 | ✗ |
| #30 | rl_v06_run1 | rl_policy custom single-shot | 88 | 80.0 | 92.0 | 75.0 | ✗ |
| #31 | rl_v06_run2 | rl_policy custom single-shot | 88 | 74.0 | 100.0 | 75.0 | ✗ |
| #32 | rl_v06_run1 | rl_policy custom single-shot | 87 | 82.0 | 100.0 | 25.0 | ✗ |
| #33 | rl_v06_run1 | rl_policy custom single-shot | 87 | 77.0 | 92.0 | 75.0 | ✗ |
| #34 | rl_v06_run1 | rl_policy custom single-shot | 86 | 81.0 | 100.0 | 25.0 | ✗ |
| #35 | rl_v06_run1 | rl_policy custom single-shot | 86 | 81.0 | 100.0 | 25.0 | ✗ |
| #36 | rl_v06_run1 | rl_policy custom single-shot | 86 | 81.0 | 84.0 | 75.0 | ✗ |
| #37 | rl_v06_run1 | rl_policy custom single-shot | 86 | 68.0 | 100.0 | 75.0 | ✗ |
| #38 | rl_v06_run1 | rl_policy custom single-shot | 86 | 81.0 | 84.0 | 75.0 | ✗ |
| #39 | rl_v06_run2 | rl_policy custom single-shot | 86 | 81.0 | 100.0 | 25.0 | ✗ |
| #40 | rl_v06_run2 | rl_policy custom single-shot | 86 | 81.0 | 92.0 | 50.0 | ✗ |
| #41 | rl_v06_run2 | rl_policy custom single-shot | 86 | 79.0 | 100.0 | 25.0 | ✗ |
| #42 | rl_v06_run2 | rl_policy custom single-shot | 86 | 75.0 | 100.0 | 50.0 | ✗ |
| #43 | rl_v06_run2 | rl_policy custom single-shot | 86 | 79.0 | 100.0 | 50.0 | ✗ |
| #44 | rl_v06_run2 | rl_policy custom single-shot | 86 | 82.0 | 91.0 | 75.0 | ✗ |
| #45 | rl_v06_run1 | rl_policy custom single-shot | 85 | 77.0 | 100.0 | 25.0 | ✗ |
| #46 | rl_v06_run1 | rl_policy custom single-shot | 85 | 77.0 | 100.0 | 25.0 | ✗ |
| #47 | rl_v06_run2 | rl_policy custom single-shot | 85 | 80.0 | 83.0 | 85.0 | ✗ |
| #48 | rl_v06_run1 | rl_policy custom single-shot | 84 | 81.0 | 100.0 | 25.0 | ✗ |
| #49 | rl_v06_run2 | rl_policy custom single-shot | 84 | 64.0 | 100.0 | 75.0 | ✗ |
| #50 | rl_v06_run2 | rl_policy custom single-shot | 83 | 75.0 | 83.0 | 75.0 | ✗ |
| #51 | rl_v06_run2 | rl_policy custom single-shot | 83 | 81.0 | 84.0 | 75.0 | ✗ |
| #52 | rl_v06_run2 | rl_policy custom single-shot | 83 | 81.0 | 84.0 | 75.0 | ✗ |
| #53 | rl_v06_run2 | rl_policy custom single-shot | 82 | 79.0 | 82.0 | 50.0 | ✗ |
| #54 | rl_v06_run2 | rl_policy custom single-shot | 81 | 78.0 | 80.0 | 50.0 | ✗ |
| #55 | alex | openai/gpt-5.4 default reflexion | 80 | 66.0 | 88.0 | 100.0 | ✗ |
| #56 | rl_v06_run2 | rl_policy custom single-shot | 80 | 80.0 | 69.0 | 75.0 | ✗ |
| #57 | rl_v06_run1 | rl_policy custom single-shot | 79 | 79.0 | 82.0 | 35.0 | ✗ |
| #58 | rl_v06_run1 | rl_policy custom single-shot | 78 | 78.0 | 81.0 | 50.0 | ✗ |
| #59 | alex | google/gemini-3.1-pro-preview default single-shot | 76 | 65.0 | 75.0 | 100.0 | ✗ |
| #60 | rl_v06_run2 | rl_policy custom single-shot | 74 | 79.0 | 68.0 | 50.0 | ✗ |
| #61 | alex | x-ai/grok-4.20 default single-shot | 73 | 48.0 | 91.0 | 100.0 | ✗ |
| #62 | alex | x-ai/grok-4.20 default reflexion | 72 | 57.0 | 75.0 | 100.0 | ✗ |
| #63 | alex | anthropic/claude-sonnet-4.6 default single-shot | 71 | 69.0 | 57.0 | 100.0 | ✗ |
| #64 | alex | anthropic/claude-sonnet-4.6 default reflexion | 58 | 11.0 | 100.0 | 100.0 | ✗ |
| #65 | alex | openai/gpt-5.4 default single-shot | 45 | 40.0 | 20.0 | 100.0 | ✗ |
Per-scenario breakdown of the top run
| Scenario | Health | Drop rate | Delivered | Pass |
|---|---|---|---|---|
| baseline | 86.0 | 0.0% | 216 | ✓ |
| group-burst | 85.0 | 0.0% | 1080 | ✓ |
| offline-storage-down | 77.0 | 0.0% | 30 | ✓ |
| noisy-network | 78.0 | 4.3% | 54 | ✗ |