Ninja migrating to self-hosted inference backend

Ninja (SN66) identified inconsistent LLM inference results caused by external provider changes and is migrating to self-hosted model inference on dedicated GPUs. The team spent 24+ hours investigating score variance between king and challenger agents, ruling out cache issues and settling on OpenRouter/Minimax backend drift as the root cause. They plan to run their own inference infrastructure to ensure deterministic model outputs.

• •OpenRouter LLM provider changed between May 24-25; migration to self-hosted inference on owned GPUs underway
• •Investigated duel scoring anomalies showing challenger agents with unusually low win counts despite qualitative code quality
• •Team testing local inference to verify Minimax backend stability; considering DeepSeek v4-flash as alternative model
• •Implementing API key improvements and task-variance throttling to reduce spam submissions