llm-as-a-Verifier-dsh

The llm-as-a-Verifier-dsh plugin tackles a key challenge in AI inference: while models like DeepSeek V4 Flash generate high-quality answers, they often fail to recognize which outputs are best. By implementing Best-of-N self-verification, it enables test-time scaling that matches frontier model performance at a fraction of the cost—such as reaching Fable 5-level scores on Terminal-Bench 2.1 with approximately 1/11th the expense.

The plugin's core capabilities span three dimensions: a tool face for on-demand use, a service face for programmatic orchestration, and a mode face that seamlessly integrates Best-of-N sampling into every conversation turn. Technically, it features fine-grained reward scoring, a probabilistic pivot tournament for efficient selection, and a prefix-cache layout to minimize token usage. It remains robust under load via a sampling degrade chain, ensuring graceful fallback without interrupting sessions.

It is ideal for AI developers, researchers, and anyone needing high-quality model inference on a budget. Whether for academic experiments, prototyping, or production deployments, this plugin significantly enhances the utility of DeepSeek V4 Flash, allowing users to access frontier-level reasoning at low cost while offering flexible options for workflow integration and other plugins.