[!WARNING] Package Control do not fetches any updates for a two weeks for now and there's nothing I can do with that, so if you want to use the latest version of this package you have to clone it and install it manually.

OpenAI Sublime Text Plugin

tldr;

Cursor level of AI assistance for Sublime Text. I mean it.

Works with all OpenAI'ish API: llama.cpp server, ollama or whatever third party LLM hosting. Claude API support coming soon.

[!NOTE] 5.0.0 release is around the corner! Check out release notes for details.

Features

• Chat mode powered by whatever model you'd like.
• o3-mini and o1 support.
• gpt-4.5-preview support
• llama.cpp's server, ollama and all the rest OpenAI'ish API compatible.
• Dedicated chats histories and assistant settings for a projects.
• Ability to send whole files or their parts as a context expanding.
• Phantoms Get non-disruptive inline right in view answers from the model.
• Markdown syntax with code languages syntax highlight (Chat mode only).
• Server Side Streaming (SSE) streaming support.
• Status bar various info: model name, mode, sent/received tokens.
• Proxy support.

Requirements

• Sublime Text 4
• llama.cpp, ollama installed OR
• Remote llm service provider API key, e.g. OpenAI
• Anthropic API key [coming soon].

Installation

1. Install the Sublime Text Package Control plugin if you haven't done this before.
2. Open the command palette and type Package Control: Install Package.
3. Type OpenAI and press Enter.

[!NOTE] Highly recommended complimentary packages: - https://github.com/SublimeText-Markdown/MarkdownCodeExporter - https://sublimetext-markdown.github.io/MarkdownEditing

Usage

AI Assistance use case

ChatGPT mode works the following way:

1. Select some text or even the whole tabs to include them in request
2. Run either OpenAI: Chat Model Select or OpenAI: Chat Model Select With Tabs commands.
3. Input a request in input window if any.
4. The model will print a response in output panel by default, but you can switch that to a separate tab with OpenAI: Open in Tab.
5. To get an existing chat in a new window run OpenAI: Refresh Chat.
6. To reset history OpenAI: Reset Chat History command to rescue.

[!NOTE] You suggested to bind at least OpenAI: New Message, OpenAI: Chat Model Select and OpenAI: Show output panel in sake for convenience, you can do that in plugin settings.

Chat history management

You can separate a chat history and assistant settings for a given project by appending the following snippet to its settings:

{
    "settings": {
        "ai_assistant": {
            "cache_prefix": "/absolute/path/to/project/"
        }
    }
}

Additional request context management

You can add a few things to your request: - multi-line selection within a single file - multiple files within a single View Group

To perform the former just select something within an active view and initiate the request this way without switching to another tab, selection would be added to a request as a preceding message (each selection chunk would be split by a new line).

To append the whole file(s) to request you should super+button1 on them to make whole tabs of them to become visible in a single view group and then run OpenAI: Add Sheets to Context command. Sheets can be deselected with the same command.

You can check the numbers of added sheets in the status bar and on "OpenAI: Chat Model Select" command call in the preview section.

Image handling

Image handle can be called by OpenAI: Handle Image command.

It expects an absolute path to image to be selected in a buffer or stored in clipboard on the command call (smth like /Users/username/Documents/Project/image.png). In addition command can be passed by input panel to proceed the image with special treatment. png and jpg images are only supported.

[!NOTE] Currently plugin expects the link or the list of links separated by a new line to be selected in buffer or stored in clipboard only.

In-buffer llm use case

Phantom use case

Phantom is the overlay UI placed inline in the editor view (see the picture below). It doesn't affects content of the view.

1. [optional] Select some text to pass in context in to manipulate with.
2. Pick Phantom as an output mode in quick panel OpenAI: Chat Model Select.
3. You can apply actions to the llm prompt, they're quite self descriptive and follows behavior deprecated in buffer commands.
4. You can hit ctrl+c to stop prompting same as with in panel mode.

Other features

Open Source models support (llama.cpp, ollama)

1. Replace "url" setting of a given model to point to whatever host you're server running on (e.g.http://localhost:8080/v1/chat/completions).
2. Provide a "token" if your provider required one.
3. Tweak "chat_model" to a model of your choice and you're set.

[!NOTE] You can set both url and token either global or on per assistant instance basis, thus being capable to freely switching between closed source and open sourced models within a single session.

Settings

The OpenAI Completion plugin has a settings file where you can set your OpenAI API key. This is required for the most of providers to work. To set your API key, open the settings within Preferences -> Package Settings -> OpenAI -> Settings and paste your API key in the token property, as follows:

{
    "token": "sk-your-token",
}

Advertisement disabling

To disable advertisement you have to add "advertisement": false line into an assistant setting where you wish it to be disabled.

Key bindings

You can bind keys for a given plugin command in Preferences -> Package Settings -> OpenAI -> Key Bindings. For example you can bind “New Message” including active tabs as context command like this:

{
    "keys": [ "super+k", "super+'" ],
    "command": "openai", // or "openai_panel"
    "args": { "files_included": true }
},

Proxy support

You can setup it up by overriding the proxy property in the OpenAI completion settings like follow:

"proxy": {
    "address": "127.0.0.1", // required
    "port": 9898, // required
    "username": "account",
    "password": "sOmEpAsSwOrD"
}

Disclaimers

[!WARNING] All selected code will be sent to the OpenAI servers (if not using custom API provider) for processing, so make sure you have all necessary permissions to do so.

[!NOTE] Dedicated to GPT3.5 that one the one who initially written at 80% of this back then. This was felt like a pure magic!