ChatGPT.nvim

ChatGPT is a Neovim plugin that allows you to effortlessly utilize the OpenAI ChatGPT API, empowering you to generate natural language responses from OpenAI's ChatGPT directly within the editor in response to your inquiries.

Features

Interactive Q&A: Engage in interactive question-and-answer sessions with the powerful gpt model (ChatGPT) using an intuitive interface.
Persona-based Conversations: Explore various perspectives and have conversations with different personas by selecting prompts from Awesome ChatGPT Prompts.
Code Editing Assistance: Enhance your coding experience with an interactive editing window powered by the gpt model, offering instructions tailored for coding tasks.
Code Completion: Enjoy the convenience of code completion similar to GitHub Copilot, leveraging the capabilities of the gpt model to suggest code snippets and completions based on context and programming patterns.
Customizable Actions: Execute a range of actions utilizing the gpt model, such as grammar correction, translation, keyword generation, docstring creation, test addition, code optimization, summarization, bug fixing, code explanation, Roxygen editing, and code readability analysis. Additionally, you can define your own custom actions using a JSON file.

For a comprehensive understanding of the extension's functionality, you can watch a plugin showcase video

Installation

Make sure you have curl installed.
Get an API key from OpenAI, which you can obtain here.

The OpenAI API key can be provided in one of the following two ways:

In the configuration option api_key_cmd, provide the path and arguments to an executable that returns the API key via stdout.
Setting it via an environment variable called $OPENAI_API_KEY.

Custom OpenAI API host with the configuration option api_host_cmd or environment variable called $OPENAI_API_HOST. It's useful if you can't access OpenAI directly

For Azure deployments, you also need to set environment variables $OPENAI_API_TYPE to azure, $OPENAI_API_BASE to your own resource URL, e.g. https://{your-resource-name}.openai.azure.com, and $OPENAI_API_AZURE_ENGINE to your deployment ID. Optionally, if you need a different API version, set $OPENAI_API_AZURE_VERSION as well. Note that edit models have been deprecated so they might not work.

-- Packer
use({
  "jackMort/ChatGPT.nvim",
    config = function()
      require("chatgpt").setup()
    end,
    requires = {
      "MunifTanjim/nui.nvim",
      "nvim-lua/plenary.nvim",
      "nvim-telescope/telescope.nvim"
    }
})

-- Lazy
{
  "jackMort/ChatGPT.nvim",
    event = "VeryLazy",
    config = function()
      require("chatgpt").setup()
    end,
    dependencies = {
      "MunifTanjim/nui.nvim",
      "nvim-lua/plenary.nvim",
      "nvim-telescope/telescope.nvim"
    }
}

Configuration

ChatGPT.nvim comes with the following defaults, you can override them by passing config as setup param

https://github.com/jackMort/ChatGPT.nvim/blob/f1453f588eb47e49e57fa34ac1776b795d71e2f1/lua/chatgpt/config.lua#L10-L182

Secrets Management

Providing the OpenAI API key via an environment variable is dangerous, as it leaves the API key easily readable by any process that can access the environment variables of other processes. In addition, it encourages the user to store the credential in clear-text in a configuration file.

As an alternative to providing the API key via the OPENAI_API_KEY environment variable, the user is encouraged to use the api_key_cmd configuration option. The api_key_cmd configuration option takes a string, which is executed at startup, and whose output is used as the API key.

The following configuration would use 1Passwords CLI, op, to fetch the API key from the credential field of the OpenAI entry.

require("chatgpt").setup({
    api_key_cmd = "op read op://private/OpenAI/credential --no-newline"
})

The following configuration would use GPG to decrypt a local file containing the API key

local home = vim.fn.expand("$HOME")
require("chatgpt").setup({
    api_key_cmd = "gpg --decrypt " .. home .. "/secret.txt.gpg"
})

Note that the api_key_cmd arguments are split by whitespace. If you need whitespace inside an argument (for example to reference a path with spaces), you can wrap it in a separate script.

Usage

Plugin exposes following commands:

`ChatGPT`

ChatGPT command which opens interactive window using the gpt-3.5-turbo model. (also known as ChatGPT)

`ChatGPTActAs`

ChatGPTActAs command which opens a prompt selection from Awesome ChatGPT Prompts to be used with the gpt-3.5-turbo model.

`ChatGPTEditWithInstructions`

ChatGPTEditWithInstructions command which opens interactive window to edit selected text or whole window using the code-davinci-edit-001 model (GPT 3.5 fine-tuned for coding).

You can map it using the Lua API, e.g. using which-key.nvim:

local chatgpt = require("chatgpt")
wk.register({
    p = {
        name = "ChatGPT",
        e = {
            function()
                chatgpt.edit_with_instructions()
            end,
            "Edit with instructions",
        },
    },
}, {
    prefix = "<leader>",
    mode = "v",
})

demo video.

`ChatGPTRun`

ChatGPTRun [action] command which runs specific actions -- see actions.json file for a detailed list. Available actions are:

grammar_correction
translate
keywords
docstring
add_tests
optimize_code
summarize
fix_bugs
explain_code
roxygen_edit
code_readability_analysis -- see demo

All the above actions are using gpt-3.5-turbo model.

It is possible to define custom actions with a JSON file. See actions.json for an example. The path of custom actions can be set in the config (see actions_paths field in the config example above).

An example of custom action may look like this: (# marks comments)

{
  "action_name": {
    "type": "chat", # or "completion" or "edit"
    "opts": {
      "template": "A template using possible variable: {{filetype}} (neovim filetype), {{input}} (the selected text) an {{argument}} (provided on the command line)",
      "strategy": "replace", # or "display" or "append" or "edit"
      "params": { # parameters according to the official OpenAI API
        "model": "gpt-3.5-turbo", # or any other model supported by `"type"` in the OpenAI API, use the playground for reference
        "stop": [
          "```" # a string used to stop the model
        ]
      }
    },
    "args": {
      "argument": {
          "type": "strig",
          "optional": "true",
          "default": "some value"
      }
    }
  }
}

The edit strategy consists in showing the output side by side with the input and available for further editing requests. For now, edit strategy is implemented for chat type only.

The display strategy shows the output in a float window.

append and replace modify the text directly in the buffer.

Interactive popup

When using ChatGPT and ChatGPTEditWithInstructions, the following keybindings are available:

<C-Enter> [Both] to submit.
<C-y> [Both] to copy/yank last answer.
<C-o> [Both] Toggle settings window.
<C-h> [Both] Toggle help window.
<Tab> [Both] Cycle over windows.
<C-f> [Chat] Cycle over modes (center, stick to right).
<C-c> [Both] to close chat window.
<C-p> [Chat] Toggle sessions list.
<C-u> [Chat] scroll up chat window.
<C-d> [Chat] scroll down chat window.
<C-k> [Chat] to copy/yank code from last answer.
<C-n> [Chat] Start new session.
<C-d> [Chat] draft message (create message without submitting it to server)
<C-r> [Chat] switch role (switch between user and assistant role to define a workflow)
<C-s> [Both] Toggle system message window.
<C-i> [Edit Window] use response as input.
<C-d> [Edit Window] view the diff between left and right panes and use diff-mode commands

When the setting window is opened (with <C-o>), settings can be modified by pressing Enter on the related config. Settings are saved across sections

Whichkey plugin mappings

Add these to your whichkey plugin mappings for convenient binds

c = {
  name = "ChatGPT",
    c = { "<cmd>ChatGPT<CR>", "ChatGPT" },
    e = { "<cmd>ChatGPTEditWithInstruction<CR>", "Edit with instruction", mode = { "n", "v" } },
    g = { "<cmd>ChatGPTRun grammar_correction<CR>", "Grammar Correction", mode = { "n", "v" } },
    t = { "<cmd>ChatGPTRun translate<CR>", "Translate", mode = { "n", "v" } },
    k = { "<cmd>ChatGPTRun keywords<CR>", "Keywords", mode = { "n", "v" } },
    d = { "<cmd>ChatGPTRun docstring<CR>", "Docstring", mode = { "n", "v" } },
    a = { "<cmd>ChatGPTRun add_tests<CR>", "Add Tests", mode = { "n", "v" } },
    o = { "<cmd>ChatGPTRun optimize_code<CR>", "Optimize Code", mode = { "n", "v" } },
    s = { "<cmd>ChatGPTRun summarize<CR>", "Summarize", mode = { "n", "v" } },
    f = { "<cmd>ChatGPTRun fix_bugs<CR>", "Fix Bugs", mode = { "n", "v" } },
    x = { "<cmd>ChatGPTRun explain_code<CR>", "Explain Code", mode = { "n", "v" } },
    r = { "<cmd>ChatGPTRun roxygen_edit<CR>", "Roxygen Edit", mode = { "n", "v" } },
    l = { "<cmd>ChatGPTRun code_readability_analysis<CR>", "Code Readability Analysis", mode = { "n", "v" } },
  },

lushan0725/ChatGPT.nvim