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askLLM 1.0.0

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@SCgeeker SCgeeker released this 20 Jul 01:19
· 61 commits to main since this release

Ask an LLM about the dataset you have open in jamovi. Select variables, type a question, and the module attaches their summary statistics — never the raw rows — so the answer is grounded in your data, often with concrete jamovi menu paths for the analysis it suggests.

在 jamovi 裡直接問 LLM 關於「你的資料」的問題。勾選變項、輸入問題,模組會附上這些變項的摘要統計(不含原始資料列),讓 LLM 針對你的資料集回答,並常常給出具體的 jamovi 選單路徑建議。

Install / 安裝

Download askLLM_1.0.0_win64_jamovi-2.7.jmo below, then in jamovi: ⊕ (top right) → jamovi library → Side-load tab → choose the file.

下載下方的 .jmo,在 jamovi 中點右上角 ⊕ → jamovi library → Side-load 分頁 → 選擇該檔案。

This build targets Windows x64 + jamovi 2.7 (current series). A .jmo only works on the OS, CPU architecture, and jamovi series it was built on.

本檔為 Windows x64 + jamovi 2.7 專用。.jmo 只能安裝在建置時對應的作業系統、CPU 架構與 jamovi 系列版本。

Providers

Provider Free tier Runs Setup
NVIDIA NIM yes, no card cloud SETUP-nim
Google Gemini yes, no card cloud SETUP-gemini
GitHub Models yes, GitHub account cloud SETUP-github
Ollama free, no key your machine SETUP-ollama
Custom — any OpenAI-compatible endpoint SETUP-custom

Privacy / 隱私

Only summary statistics of the variables you select are sent — never raw data rows. API keys are read from your environment variables (or .Renviron) and are never written into the .omv file. Use Ollama for zero data leaving your machine.

只有你所選變項的摘要統計會被送出,原始資料列不會。API 金鑰從環境變數(或 .Renviron)讀取,不會寫入 .omv 檔。若不希望任何資料外送,可改用 Ollama(本機執行)。

Notes

  • Verified in jamovi 2.7.37 against NVIDIA NIM and Google Gemini.
  • Built with jmvtools; bundles ellmer 0.2.0 from the jamovi CRAN snapshot.
  • 198 unit tests passing.