Cursor AI IDE open source alternative.md

title	created	modified
Cursor AI IDE open source alternative	2024-09-16T14:08:08.582Z	2024-09-17T05:31:55.527Z

Cursor AI IDE open source alternative

https://github.com/meltylabs/melty

https://github.com/yetone/avante.nvim

---

If you use lazy.nvim to install avante.nvim, the <leader> key would be whitespace.

You may have to build nvim from source, and install rustup via snap to get the latest Rust toolchain.

To make avante.nvim compatible with local models, you have to modify the code under ~/.local/share/nvim/lazy/avante.nvim/lua/avante/providers/openai.lua:

local Utils = require("avante.utils")
local Config = require("avante.config")
local Clipboard = require("avante.clipboard")
local P = require("avante.providers")

---@class OpenAIChatResponse
---@field id string
---@field object "chat.completion" | "chat.completion.chunk"
---@field created integer
---@field model string
---@field system_fingerprint string
---@field choices? OpenAIResponseChoice[]
---@field usage {prompt_tokens: integer, completion_tokens: integer, total_tokens: integer}
---
---@class OpenAIResponseChoice
---@field index integer
---@field delta OpenAIMessage
---@field logprobs? integer
---@field finish_reason? "stop" | "length"
---
---@class OpenAIMessage
---@field role? "user" | "system" | "assistant"
---@field content string
---
---@class AvanteProviderFunctor
local M = {}

M.api_key_name = "OPENAI_API_KEY"

---@param opts AvantePromptOptions
M.get_user_message = function(opts) return table.concat(opts.user_prompts, "\n") end

M.parse_message = function(opts)
  ---@type OpenAIMessage[]
  local user_content = {}
  if Config.behaviour.support_paste_from_clipboard and opts.image_paths and #opts.image_paths > 0 then
    for _, image_path in ipairs(opts.image_paths) do
      table.insert(user_content, {
        type = "image_url",
        image_url = {
          url = "data:image/png;base64," .. Clipboard.get_base64_content(image_path),
        },
      })
    end
    vim.iter(opts.user_prompts):each(function(prompt) table.insert(user_content, { type = "text", text = prompt }) end)
  else
    user_content = vim.iter(opts.user_prompts):fold({}, function(acc, prompt)
      table.insert(acc, { type = "text", text = prompt })
      return acc
    end)
  end

  ret = {
    { role = "system", content = opts.system_prompt },
  }
  vim.iter(user_content):each(function(content) table.insert(ret, { role = "user", content = content.text }) end)
  return ret
end

M.parse_response = function(data_stream, _, opts)
  if data_stream:match('"%[DONE%]":') then
    opts.on_complete(nil)
    return
  end
  if data_stream:match('"delta":') then
    ---@type OpenAIChatResponse
    local json = vim.json.decode(data_stream)
    if json.choices and json.choices[1] then
      local choice = json.choices[1]
      if choice.finish_reason == "stop" then
        opts.on_complete(nil)
      elseif choice.delta.content then
        if choice.delta.content ~= vim.NIL then opts.on_chunk(choice.delta.content) end
      end
    end
  end
end

M.parse_curl_args = function(provider, code_opts)
  local base, body_opts = P.parse_config(provider)

  local headers = {
    ["Content-Type"] = "application/json",
  }
  if not P.env.is_local("openai") then headers["Authorization"] = "Bearer " .. provider.parse_api_key() end

  return {
    url = Utils.trim(base.endpoint, { suffix = "/" }) .. "/chat/completions",
    proxy = base.proxy,
    insecure = base.allow_insecure,
    headers = headers,
    body = vim.tbl_deep_extend("force", {
      model = base.model,
      messages = M.parse_message(code_opts),
      stream = true,
    }, body_opts),
  }
end

return M