dsh-pref-kit

When performing model inference within the DSH (Data Stream Handler) framework, streaming outputs generate numerous small text increments that result in a high volume of session events. These events cause noticeable lag and excessive resource consumption, especially in long sessions and multi-agent concurrency scenarios, degrading user experience and system efficiency. The dsh-pref-kit plugin addresses this by merging adjacent text increments at the data source in the streaming pipeline. Its core capability is an enabled-by-default stream merging function that reduces event volume by 11% to 56%, leading to corresponding drops in memory, disk, and bandwidth usage. Additionally, the plugin offers a configurable settings card for real-time adjustments and experimental switches, such as replacing the trajectory view to eliminate performance bottlenecks and runtime row management to flexibly disable or enable official plugin rows. This plugin is ideal for developers, data scientists, and system administrators using DSH for model inference, particularly those dealing with long conversation histories, multi-agent collaborations, or high-concurrency requests, helping to optimize performance and reduce resource overhead.