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.

• Rich Message Rendering: Enhanced chat display with styled code blocks (language headers, copy indicators, foldable), markdown formatting (headers, bold, italic, lists, blockquotes, links), diff highlighting, and sender indicators.

• Inline Context References: Use @ to add context from LSP definitions or project files directly in your prompts. References are displayed inline and expanded when sending to the API.

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. (NOTE: a ChatGPT Plus subscription doesn't currently include the required API credits. You'll have to buy API credits separately.)

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

1. In the configuration option api_key_cmd, provide the path and arguments to an executable that returns the API key via stdout.

2. 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

Custom cURL parameters can be passed using the configuration option extra_curl_params. It can be useful if you need to include additional headers for requests:

{
  ...,
  extra_curl_params = {
    "-H",
    "Origin: https://example.com"
  }
}

For Azure deployments, you need to specify the URL base, the engine, and the API type. You can accomplish this in one of two ways:

1. Use the configuration options api_type_cmd, azure_api_base, azure_api_engine_cmd, and azure_api_version_cmd. Each of these should be an executable command that returns the corresponding value.

For example:

  local config = {
    api_host_cmd = 'echo -n ""',
    api_key_cmd = 'pass azure-openai-key',
    api_type_cmd = 'echo azure',
    azure_api_base_cmd = 'echo https://{your-resource-name}.openai.azure.com',
    azure_api_engine_cmd = 'echo chat',
    azure_api_version_cmd = 'echo 2023-05-15'
  }

  require("chatgpt").setup(config)

2. Set the values via the environment variables $OPENAI_API_TYPE, $OPENAI_API_BASE, $OPENAI_API_AZURE_ENGINE, and $OPENAI_API_AZURE_VERSION.

For example:

export OPENAI_API_TYPE="azure"
export OPENAI_API_BASE="https://{your-resource-name}.openai.azure.com"
export OPENAI_API_AZURE_ENGINE="chat"
export OPENAI_API_AZURE_VERSION="2023-05-15"

Please note that edit models have been deprecated and may not function as expected.

If you are using packer.nvim as plugin manager:

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

or if you are using lazy.nvim:

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

Example Configuration

A simple configuration of the chat model could look something like this:

{
  "jackMort/ChatGPT.nvim",
  event = "VeryLazy",
  config = function()
    require("chatgpt").setup({
      -- this config assumes you have OPENAI_API_KEY environment variable set
      openai_params = {
        -- NOTE: model can be a function returning the model name
        -- this is useful if you want to change the model on the fly
        -- using commands
        -- Example:
        -- model = function()
        --     if some_condition() then
        --         return "gpt-5"
        --     else
        --         return "gpt-5-mini"
        --     end
        -- end,
        model = "gpt-5-mini",
        frequency_penalty = 0,
        presence_penalty = 0,
        max_tokens = 4095,
        temperature = 0.2,
        top_p = 0.1,
        n = 1,
      }
    })
  end,
  dependencies = {
    "MunifTanjim/nui.nvim",
    "nvim-lua/plenary.nvim",
      "folke/trouble.nvim", -- optional
    "nvim-telescope/telescope.nvim"
  }
}

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-5-mini model. (also known as ChatGPT)

ChatGPTActAs

ChatGPTActAs command which opens a prompt selection from Awesome ChatGPT Prompts to be used with the gpt-5-mini model.

ChatGPTEditWithInstructions

ChatGPTEditWithInstructions command which opens interactive window to edit selected text or whole window using the gpt-5-mini model (configurable).

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:

1. grammar_correction
2. translate
3. keywords
4. docstring
5. add_tests
6. optimize_code
7. summarize
8. fix_bugs
9. explain_code
10. roxygen_edit
11. code_readability_analysis -- see demo
12. fix_diagnostic -- fix error under cursor
13. explain_diagnostic -- explain error under cursor
14. fix_diagnostics -- fix all errors in selection

All the above actions are using gpt-5-mini 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 varia