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LmaoAgent /

LmaoAgent/dsh-next-step

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READMESource: main@c9bfc579

dsh-next-step

Grey ghost suggestions in the DeepSeek Harness composer: after a turn, the plugin shows the message you are likely to send next; Tab accepts it, deleting the draft brings it back.

┌──────────────────────────────────────────────┐
│ 帮我看看当前项目的结构                          │
└──────────────────────────────────────────────┘
        grey until you press Tab

How it works

The plugin is client-only (a dsh.bundle.patch package with a browser half), because a bundle installed from the Plugins panel cannot import harness packages on the Host side. Prediction runs in a small local service instead:

  • the browser half watches the composer, and while the draft is empty asks the service for a suggestion every 15 seconds;
  • the service receives the sessionId, reads that Session's own log under ~/.dsh/sessions, and predicts from the last human and assistant texts (injected context such as AGENTS.md is excluded);
  • with DEEPSEEK_API_KEY set it makes one small model call (reasoningEffort: off, at most 160 output tokens); without it, a zero-token heuristic answers.

The suggestion never enters the conversation history.

Install

  1. Install from the registry:

    npm install -g dsh-next-step   # optional: run the service by hand
    
  2. In DeepSeek Harness open Plugins → Add plugin, enter dsh-next-step, install, enable, and restart the app. The bundle starts the service through the harness MCP client, so nothing has to be launched by hand.

    To run it manually instead: npx dsh-next-step (prints next-step: http://127.0.0.1:61760).

  3. Open a new Session, send a message, and clear the input: the suggestion appears within 15 seconds.

Configuration

variable default meaning
NEXT_STEP_HTTP_PORT 61760 service port the browser half calls
DEEPSEEK_API_KEY unset enables model suggestions; otherwise the heuristic answers
NEXT_STEP_MODEL deepseek-chat model used for the suggestion
NEXT_STEP_LOCAL_ONLY unset 1 forces the heuristic even with a key

Limitations

  • A local service is required. Third-party bundles cannot call the model host-side yet; the platform gap is tracked in discussion #12742.
  • Polling. Suggestions refresh every 15 seconds, not exactly at turn/end.
  • Overlay positioning. The ghost is placed by measuring [data-composer-input]; multi-line drafts and theme changes may offset it.
  • Heuristic mode is generic. Without a key the service can only offer continuations like "继续完成下一步".

License

MIT

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