dsh-jev-adapter: Integrating the Jev Decision Model Paradigm with Any OpenAI-Compatible LLM

`dsh-jev-adapter` is a DeepSeek Harness (DSH) plugin designed to port Jev’s typed decision-making paradigm—such as probability distributions and confidence levels—to any OpenAI-compatible model. It registers the `jev_decide` tool and supports three types: `choice`, `score`, and `boolean`, addressing key and network restrictions associated with official APIs. The plugin includes fault-tolerance mechanisms such as retries and normalization, enabling users to obtain structured decision outputs from models deployed locally or through third-party gateways, and is suitable for agentic scenarios that require probabilistic routing and precise data output.