NeovimでLLMを使えるプラグインgen.nvimの使い方

>>> Downloading ollama...
######################################################################## 100.0%##O=#  #
>>> Installing ollama to /usr/local/bin...
[sudo] password for user:
>>> Creating ollama user...
>>> Adding ollama user to render group...
>>> Adding ollama user to video group...
>>> Adding current user to ollama group...
>>> Creating ollama systemd service...
>>> Enabling and starting ollama service...
Created symlink /etc/systemd/system/default.target.wants/ollama.service → /etc/systemd/system/ollama.service.
>>> Nvidia GPU detected.
>>> The Ollama API is now available at 127.0.0.1:11434.
>>> Install complete. Run "ollama" from the command line.

transferring model data
省略
writing manifest
success

ollama run elyza:jp8b

require("gen").setup({
  model = "elyza:jp8b", -- The default model to use.
  quit_map = "q", -- set keymap for close the response window
  retry_map = "<c-r>", -- set keymap to re-send the current prompt
  accept_map = "<c-cr>", -- set keymap to replace the previous selection with the last result
  host = "localhost", -- The host running the Ollama service.
  port = "11434", -- The port on which the Ollama service is listening.
  display_mode = "split", -- The display mode. Can be "float" or "split" or "horizontal-split".
  show_prompt = true, -- Shows the prompt submitted to Ollama.
  show_model = false, -- Displays which model you are using at the beginning of your chat session.
  no_auto_close = false, -- Never closes the window automatically.
  hidden = false, -- Hide the generation window (if true, will implicitly set `prompt.replace = true`)
  init = function(options)
    pcall(io.popen, "ollama serve > /dev/null 2>&1 &")
  end,
  -- Function to initialize Ollama
  command = function(options)
    local body = { model = options.model, stream = true }
    return "curl --silent --no-buffer -X POST http://"
      .. options.host
      .. ":"
      .. options.port
      .. "/api/chat -d $body"
  end,
  -- The command for the Ollama service. You can use placeholders $prompt, $model and $body (shellescaped).
  -- This can also be a command string.
  -- The executed command must return a JSON object with { response, context }
  -- (context property is optional).
  -- list_models = '<omitted lua function>', -- Retrieves a list of model names
  debug = false, -- Prints errors and the command which is run.
})

:Gen Review_Code

require("gen").prompts["Summarize"] = {
  prompt = "以下を要約してください:\n$text",
  replace = true,
}
require("gen").prompts["Ask"] = { prompt = "以下の文章について、$input:\n$text" }
require("gen").prompts["Make_List"] = {
  prompt = "文章をマークダウンリストに変換してください:\n$text",
  replace = true,
}
require("gen").prompts["Make_Table"] = {
  prompt = "文章をマークダウンテーブルに変換してください:\n$text",
  replace = true,
}
require("gen").prompts["Review_Code"] = {
  prompt = "以下のコードをレビューし、簡潔な提案を行ってください:\n```$filetype\n$text\n```",
}
require("gen").prompts["Enhance_Code"] = {
  prompt = "以下のコードを改良し、結果は```$filetype\n...\n```という形式で出力してください:\n```$filetype\n$text\n```",
  replace = true,
  extract = "```$filetype\n(.-)```",
}
require("gen").prompts["Change_Code"] = {
  prompt = "以下のコードについて、$input、結果は```$filetype\n...\n```という形式で出力してください:\n```$filetype\n$text\n```",
  replace = true,
  extract = "```$filetype\n(.-)```",
}

require("gen").prompts["Tailwind"] = {
  prompt = "$input をTailwindCSSで実現する方法を教えていただけないでしょうか？",
}

null_ls.setup({
  -- ...
  should_attach = function(bufnr)
    return not vim.api.nvim_buf_get_name(bufnr):match("gen%.nvim")
  end,
})