In the development practice of DeepSeek Harness (DSH), the output of a single model call is often stochastic, making it difficult to ensure stable quality. To address this issue, the community provides dsh-plugin-fusion. This plugin aims to improve the reliability of generated results through multiple sampling and self-verification mechanisms.

What Is This

This is a model inference plugin maintained by alexpadholol. It addresses the problem of “unstable single-pass generation quality.” Its core logic is to let the model generate multiple candidate answers first, then let the model itself review them and select the best solution.

Core Features

  1. Multi-sampling candidate generation: By default, it calls the model 5 times, each using a different sampling temperature (0.2 to 1.8), to obtain diverse answers.
  2. Autonomous review and selection: The plugin calls the model to review this set of candidate answers and selects the most appropriate one.
  3. Complete result return: The final output not only includes the selected answer but also returns all candidate answers, the index of the selected answer, and the reasoning process of the review.
  4. Zero-dependency implementation: The tool definition is built using native JSON Schema, with no runtime dependencies. It is ready to use after installation.

Installation and Activation

The installation command is as follows:

dsh plugin --profile web add dsh-plugin-fusion

The plugin declares dsh.bundle, and after installation it is automatically activated as a profile layer. After installation is complete, you must restart dsh web (or the current profile) for the tool to take effect.

Typical Usage

When using it, directly call the fusion_generate tool. Parameter descriptions are as follows:

  • prompt: Required. The request content sent to the model.
  • system: Optional. The system prompt used for each call.
  • count: Optional. The number of independent calls, default 5, limited to 1-10.
  • provider / model: Optional. Override the default model routing.

Applicable Scenarios and Notes

This tool is suitable for scenarios that require high-quality generated results and can accept a certain reasoning cost.

Notes:
* The plugin runs with the permissions of the current DSH process. It is recommended to check the source code and license (MIT) before use.
* The count parameter has a range restriction (1-10). Values outside this range will not take effect.

Short Conclusion

By introducing multiple sampling and self-verification mechanisms, this tool can effectively improve the consistency and accuracy of outputs. For more details, refer to the community directory or the GitHub repository.