dsh-multi-candidate

In complex task generation, large language models can occasionally fall into the trap of a single reasoning path, resulting in suboptimal results. dsh-multi-candidate addresses this by introducing "test-time scaling," enabling parallel generation of multiple independent candidate solutions followed by intelligent verification and selection, trading extra computational power for higher task success rates.

The plugin embodies a philosophy of "minimalism meets power." It features a draggable, position-remembered floating panel where users simply converse normally in the input box. The model then automatically executes a "parallel generation - validation and selection" pipeline in the background. From adjusting the number of candidates to enabling "second opinion" reviews or setting custom validation criteria, all settings are easily configurable without the need to remember complex command prefixes.

This tool is particularly suited for developers and power users who demand high output quality and frequently handle complex logic or creative writing tasks. By employing a "run N times and submit the best one" mechanism, it effectively mitigates the uncertainty of single-shot inference. Furthermore, the plugin intelligently binds to the current session, ensuring configurations only take effect in the specific context, thereby balancing operational flexibility with system stability and security.