nvim: Add smartpaste to LLM prompts

Will paste and try to integrate _anything_ into the curent buffer. Wrong
programming language, no formatting, pseudo code, natural language instructions, anything.

nvim/.config/nvim/lazy-lock.json

@@ -8,9 +8,9 @@
   "cmp-calc": { "branch": "main", "commit": "5947b412da67306c5b68698a02a846760059be2e" },
   "cmp-pandoc.nvim": { "branch": "main", "commit": "30faa4456a7643c4cb02d8fa18438fd484ed7602" },
   "cmp-spell": { "branch": "master", "commit": "694a4e50809d6d645c1ea29015dad0c293f019d6" },
-  "codecompanion-gitcommit.nvim": { "branch": "main", "commit": "0ea26d93321e259dbb3766bf7f845ff02284e220" },
-  "codecompanion-history.nvim": { "branch": "main", "commit": "5442513f1303884079c8f13cf8b75da44a3db679" },
-  "codecompanion.nvim": { "branch": "main", "commit": "7ae585e1c868edb523cbb15c49fd15bc3def1261" },
+  "codecompanion-gitcommit.nvim": { "branch": "main", "commit": "e237b9901d64074fa84f74c1b20892303e3e1830" },
+  "codecompanion-history.nvim": { "branch": "main", "commit": "b9f1afb77f1a8805e686f89ac38338a9ca588579" },
+  "codecompanion.nvim": { "branch": "main", "commit": "76f1c1aaedbb159256dbc64705cd34f447046d64" },
   "conform.nvim": { "branch": "master", "commit": "a6f5bdb78caa305496357d17e962bbc4c0b392e2" },
   "copilot-lualine": { "branch": "main", "commit": "6bc29ba1fcf8f0f9ba1f0eacec2f178d9be49333" },
   "copilot.lua": { "branch": "master", "commit": "c1bb86abbed1a52a11ab3944ef00c8410520543d" },

nvim/.config/nvim/lua/plugins/llm.lua

@@ -58,43 +58,56 @@ return {
 		opts = {
 			strategies = {
 				chat = { adapter = "groq" },
-				inline = { adapter = "groq" },
+				inline = { adapter = "copilot" },
+				cmd = { adapter = "groq" },
 			},
 			adapters = {
-				groq = function()
-					return require("codecompanion.adapters").extend("openai", {
-						env = {
-							api_key = "GROQ_API_KEY",
-						},
-						name = "Groq",
-						url = "https://api.groq.com/openai/v1/chat/completions",
-						schema = {
-							model = {
-								default = "llama-3.1-8b-instant",
-								choices = {
-									-- production models
-									"llama-3.3-70b-versatile",
-									"llama-3.1-8b-instant",
-									"moonshotai/kimi-k2-instruct",
-									"meta-llama/llama-guard-4-12b",
-									"openai/gpt-oss-120b",
-									"openai/gpt-oss-20b",
-									-- preview models
-									"meta-llama/llama-4-maverick-17b-128e-instruct",
-									"meta-llama/llama-4-scout-17b-16e-instruct",
-									"deepseek-r1-distill-llama-70b",
-									"qwen/qwen3-32b",
+				http = {
+					opts = {
+						show_defaults = false, -- TODO: set to false to only enable working, but does not show copilot then
+					},
+					groq = function()
+						return require("codecompanion.adapters").extend("openai", {
+							env = {
+								api_key = "GROQ_API_KEY",
+							},
+							name = "Groq",
+							url = "https://api.groq.com/openai/v1/chat/completions",
+							schema = {
+								model = {
+									default = "llama-3.1-8b-instant",
+									choices = {
+										-- production models
+										"llama-3.3-70b-versatile",
+										"llama-3.1-8b-instant",
+										"moonshotai/kimi-k2-instruct",
+										"meta-llama/llama-guard-4-12b",
+										"openai/gpt-oss-120b",
+										"openai/gpt-oss-20b",
+										-- preview models
+										"meta-llama/llama-4-maverick-17b-128e-instruct",
+										"meta-llama/llama-4-scout-17b-16e-instruct",
+										"deepseek-r1-distill-llama-70b",
+										"qwen/qwen3-32b",
+									},
 								},
 							},
-						},
-						max_tokens = {
-							default = 4096,
-						},
-						temperature = {
-							default = 1,
-						},
-					})
-				end,
+							max_tokens = {
+								default = 4096,
+							},
+							temperature = {
+								default = 1,
+							},
+						})
+					end,
+					gemini = function()
+						return require("codecompanion.adapters").extend("gemini", {
+							env = {
+								api_key = "GEMINI_API_KEY",
+							},
+						})
+					end,
+				},
 			},
 			display = {
 				action_palette = {
@@ -129,6 +142,78 @@ return {
 					},
 				},
 			},
+			prompt_library = {
+
+				["Smart Paste"] = {
+					strategy = "inline",
+					description = "Paste code smartly",
+					opts = { short_name = "paste" },
+					prompts = {
+						{
+							role = "user",
+							content = [[
+You are a smart code paste agent within Neovim.
+
+## **Task:** Intelligently integrate content from the user's clipboard into the current buffer.
+
+## **Instructions:**
+
+-   You may receive code in various programming languages or even natural language instructions.
+-   If the clipboard content is in a different language than the current buffer, translate it to the appropriate language smartly.
+-   If the clipboard content contains pseudo code generate code accordingly.
+-   If the clipboard content contains natural language instructions, interpret and follow them to modify the code in the current buffer.
+-   **ONLY** generate the **new** lines of code required for seamless integration.
+-   Ensure the inserted code is syntactically correct and logically consistent with the existing code.
+-   Do **NOT** include surrounding code or line numbers.
+-   Make sure all brackets and quotes are closed properly.
+
+## **Output:**
+
+-   Provide only the necessary lines of code for insertion.
+-   If you can't generate code just return nothing.
+-   Ensure the response is proper and well-formatted.
+ ]],
+						},
+						{
+							role = "user",
+							content = function(context)
+								local lines = require("codecompanion.helpers.actions").get_code(
+									1,
+									context.line_count,
+									{ show_line_numbers = true }
+								)
+								local selection_info = ""
+								local clipboard = vim.fn.getreg("+")
+
+								if context.is_visual then
+									selection_info = string.format(
+										"Currently selected lines: %d-%d",
+										context.start_line,
+										context.end_line
+									)
+								else
+									selection_info = string.format(
+										"Current cursor line: %d and Current cursor column is %d",
+										context.cursor_pos[1],
+										context.cursor_pos[2]
+									)
+								end
+
+								return string.format(
+									"I have the following code:\n\n```%s\n%s\n```\n\nClipboard content:\n\n```\n%s\n```\n\n%s",
+									context.filetype,
+									lines,
+									clipboard,
+									selection_info
+								)
+							end,
+							opts = {
+								contains_code = true,
+							},
+						},
+					},
+				},
+			},
 		},
 		keys = {
 			{ "<leader>aa", "<cmd>CodeCompanionActions<cr>", desc = "Actions", silent = true, mode = { "n", "v" } },