dsh-dual-model-eval

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An installable DeepSeek Harness bundle for side-by-side coding-agent evaluation. One prompt is sent to multiple selected models, each model works in an isolated detached Git worktree, and the web UI streams their tool trajectories and renders comparable result cards in the normal Chat tab.

Compatibility: the first release targets DeepSeek Harness 0.1.0-rc.7. DeepSeek Harness is currently a developer preview, so plugin APIs may change between release candidates.

Install

Install the pinned release into the built-in web profile:

npx @deepseek-ai/dsh@0.1.0-rc.7 plugin --profile web add github:huangdaxianer/dsh-dual-model-eval#v0.1.0

Restart the Harness web process after installation:

npx @deepseek-ai/dsh@0.1.0-rc.7 web

The repository contains committed, prebuilt lib/ artifacts. Installing from GitHub therefore does not require authorizing a dependency prepare script.

What it adds

• A Comparison test switch inside the existing model selector.
• Multi-select for two to four configured model routes.
• Concurrent execution from one shared Git commit in isolated worktrees.
• Live, independently expandable tool-call trajectories for every model.
• Compact elapsed-time and tool-count summaries, with token, cache, TTFT, decoding, and tool details inside the expanded view.
• Side-by-side final replies and line-change statistics (+added, -deleted, percentages, and changed-file count).
• An Adopt this result action that commits the chosen patch locally and advances the shared baseline for later rounds.
• A composer gate that prevents the next round until one completed candidate has been adopted.

Use

1. Open the standard model menu and enable Comparison test.
2. Select at least two model routes that are already configured in Harness.
3. Submit one coding request. Result cards appear immediately and stream progress while both agents run.
4. Inspect each answer and its expandable tool trajectory.
5. Choose Adopt this result under the preferred candidate. The next comparison starts from that committed code baseline.

Git and workspace behavior

• Every candidate gets a new detached worktree created from the same base commit.
• Existing Git repositories must be clean before a comparison starts.
• A non-Git workspace is initialized automatically by default. The plugin stages files not ignored by .gitignore and creates a local baseline commit.
• Adoption reconstructs the selected full patch, creates a local commit with command-scoped identity, and fast-forwards the source workspace.
• The plugin never pushes to a remote and does not modify global Git identity.
• Temporary worktrees are removed after a run by default. Bounded private evidence remains under ~/.dsh/dual-model-eval/.

Review generated commits and patches before publishing them. A completed orchestration run is evidence that execution settled, not a model-quality score.

Update or remove

Update to a newer tagged release:

npx @deepseek-ai/dsh@0.1.0-rc.7 plugin --profile web add github:huangdaxianer/dsh-dual-model-eval#v0.1.0

Remove the bundle:

npx @deepseek-ai/dsh@0.1.0-rc.7 plugin --profile web remove dsh-dual-model-eval

Restart the web profile after either operation.

Development

Requirements: Node.js 22.19+ (or 24+), pnpm, and Git.

pnpm install
pnpm run check
pnpm run pack:release

To validate a local checkout without changing your normal Harness home:

export DSH_PLUGIN_TEST_HOME="$(mktemp -d)"
DSH_HOME="$DSH_PLUGIN_TEST_HOME" npx @deepseek-ai/dsh@0.1.0-rc.7 plugin --profile web add ./dsh-dual-model-eval
DSH_HOME="$DSH_PLUGIN_TEST_HOME" npx @deepseek-ai/dsh@0.1.0-rc.7 --profile web --dump-config

Security

DeepSeek Harness plugins execute with the permissions of the local user. Inspect the source and pin a release tag or commit before installing any third-party plugin. This plugin can create Git worktrees and local commits inside the selected workspace; it does not push those commits.

License

MIT. This standalone package includes code derived from the MIT-licensed DeepSeek Harness project; see NOTICE.