Commit Graph

3 Commits

Author SHA1 Message Date
josh 102e05c8ba Add game-simulation package with multi-run balance testing, fix stalled-pipeline trap
Balance Check / balance-simulation (push) Failing after 11m32s
Balance Check / multi-run-balance (push) Failing after 23m46s
CI / build-and-push (push) Successful in 1m20s
Adds a full simulation harness (game-simulation package) with greedy/random strategies,
36-metric diagnostics, multi-run orchestration via child processes, and a statistical
interpreter. Includes 2.3x engine performance optimizations (research bonus caching,
per-DC dirty tracking, reduced allocations in tick pipeline, single-pass loops).

Fixes a critical balance bug where training pipelines stalled on insufficient VRAM would
permanently block training slots — the engine never re-checked stalled pipelines, and the
greedy strategy didn't pre-check VRAM requirements. This caused 20-25% of seeds to get
stuck in Scale-up era. All three fixes (engine un-stalling, strategy VRAM pre-check,
stalled pipeline cancellation) bring pass rate from 75% to 100% across 20 random seeds.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-26 06:11:26 -04:00
josh 901db02a6b Replace decorative overload policy with real serving pipeline and dedicated Serving page
CI / build-and-push (push) Successful in 28s
The old overload policy had dead controls (maxQueueDepth, rateLimitPerCustomer never read)
and trivial flat penalties. This replaces it with a full serving pipeline where deployed
models form a fleet, requests route through priority/degradation logic, and policy choices
create meaningful strategic tradeoffs.

New serving pipeline: fleet building from deployed models (size/quant/MoE multipliers),
demand categorization by 5 priority tiers, enterprise capacity reservation, priority-ordered
serving with overflow behaviors (queue/reject/degrade), auto-degradation to faster models
under load, and Batch API to fill idle capacity at discounted rates.

4 new research nodes gate features progressively: Intelligent Request Routing, Priority
Queue System, Request Batching, and Auto-Scaling. New dedicated Serving page with pipeline
metrics, model fleet utilization, and research-gated policy controls.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-25 12:42:09 -04:00
josh 09a5cb69a7 Overhaul market system with shared TAM competition, multi-tier pricing, enterprise pipeline, and developer ecosystem
CI / build-and-push (push) Successful in 42s
Replaces the simplified single-subscriber market with a full competitive simulation:
shared TAM with softmax market shares across 4 segments, multi-tier consumer
subscriptions (Free/Plus/Pro/Team) and API tiers (Free/PAYG/Scale/Enterprise),
enterprise sales pipeline (Lead→Qualification→POC→Negotiation→Active→Renewal)
with SLA tracking, developer ecosystem flywheel, technology obsolescence pressure,
seasonal demand cycles, and two new product lines (Code Assistant, AI Agents Platform).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-25 08:30:24 -04:00