0db6d4183b
gemini and openai with api keys. Additionally add code companion. Finally, add VectorCode with Code Companion which caches and gives context of private local projects to AI for better insight. completion in blink.
113 lines
3.5 KiB
Lua
113 lines
3.5 KiB
Lua
return {
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"olimorris/codecompanion.nvim", -- The KING of AI programming
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dependencies = {
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{
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"Davidyz/VectorCode",
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version = "*",
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build = "pipx upgrade vectorcode",
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dependencies = { "nvim-lua/plenary.nvim" },
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},
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"echasnovski/mini.diff",
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},
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opts = {
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adapters = {
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copilot = function()
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return require("codecompanion.adapters").extend("copilot", {
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schema = {
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model = {
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default = "claude-3.7-sonnet",
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},
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},
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})
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end,
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gemini = function()
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return require("codecompanion.adapters").extend("gemini", {
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schema = {
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model = {
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default = "gemini-2.5-pro-exp-03-25",
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},
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},
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})
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end,
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openai = function()
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return require("codecompanion.adapters").extend("openai", {
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opts = {
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stream = true,
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},
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schema = {
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model = {
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default = function()
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return "gpt-4o"
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end,
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},
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},
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})
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end,
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},
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strategies = {
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chat = {
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adapter = "copilot",
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roles = {
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user = "Martin",
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},
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keymaps = {
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send = {
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modes = {
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i = { "<C-CR>", "<C-s>" },
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},
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},
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completion = {
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modes = {
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i = "<C-x>",
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},
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},
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},
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slash_commands = {
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["buffer"] = {
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opts = {
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keymaps = {
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modes = {
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i = "<C-b>",
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},
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},
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},
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},
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["help"] = {
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opts = {
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max_lines = 1000,
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},
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},
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},
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tools = {
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vectorcode = {
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description = "Run VectorCode to retrieve the project context.",
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callback = function()
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return require("vectorcode.integrations").codecompanion.chat.make_tool()
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end,
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},
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},
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},
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inline = { adapter = "copilot" },
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},
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display = {
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action_palette = {
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provider = "default",
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},
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diff = {
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provider = "mini_diff",
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},
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},
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opts = {
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log_level = "DEBUG",
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},
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},
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keys = {
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{ "<C-a>", "<cmd>CodeCompanionActions<cr>" },
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{ "<Leader>ci", "<cmd>CodeCompanion<cr>" },
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{ "<Leader>cc", "<cmd>CodeCompanionChat toggle<cr>" },
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{ "<Leader>ce", "<cmd>CodeCompanion /explain<cr>", mode = "v" },
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},
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init = function()
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vim.cmd([[cab cc CodeCompanion]])
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end
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}
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