return {
	dependencies = { "nvim-lua/plenary.nvim" },
	"milanglacier/minuet-ai.nvim",
	config = function()
		require("minuet").setup({
			provider = "openai_fim_compatible",
			n_completions = 1, -- recommend for local model for resource saving
			context_window = 512,
			provider_options = {
				openai_fim_compatible = {
					-- For Windows users, TERM may not be present in environment variables.
					-- Consider using APPDATA instead.
					api_key = "TERM",
					name = "LLama.cpp",
					end_point = "http://localhost:8012/v1/completions",
					model = "PLACEHOLDER",
					optional = {
						max_tokens = 56,
						top_p = 0.9,
					},
					template = {
						prompt = function(context_before_cursor, context_after_cursor, _)
							return "<|fim_prefix|>"
								.. context_before_cursor
								.. "<|fim_suffix|>"
								.. context_after_cursor
								.. "<|fim_middle|>"
						end,
						suffix = false,
					},
				},
			},
			virtualtext = {
				auto_trigger_ft = {},
				keymap = {
					-- accept whole completion
					accept = "<M-T>",
					-- accept one line
					accept_line = "<M-t>",
					-- accept n lines (prompts for number)
					-- e.g. "A-z 2 CR" will accept 2 lines
					accept_n_lines = "<M-z>",
					-- Cycle to prev completion item, or manually invoke completion
					prev = "<M-h>",
					-- Cycle to next completion item, or manually invoke completion
					next = "<M-l>",
					dismiss = "<M-e>",
				},
			},
		})
	end,
}