vimlm 0.0.9

VimLM - LLM-powered Vim assistant

VimLM - AI-Powered Coding Assistant for Vim

VimLM brings the power of AI directly into your Vim workflow. Maintain focus with keyboard-driven interactions while leveraging AI for code generation, refactoring, and documentation.

Get started quickly with the tutorial.

Features

• Native Vim Integration - Split-window responses & intuitive keybindings
• Offline First - 100% local execution with MLX-compatible models
• Contextual Awareness - Integrates seamlessly with your codebase and external resources
• Conversational Workflow - Iterate on responses with follow-up queries
• Project Scaffolding - Generate and deploy code blocks to directories
• Extensible - Create custom LLM workflows with command chains

Requirements

• Apple Silicon (M-series)
• Python 3.12.8
• Vim 9.1

Quick Start

pip install vimlm
vimlm

Basic Usage

Key Binding	Mode	Action
Ctrl-l	Normal/Visual	Prompt LLM
Ctrl-j	Normal	Continue conversation
Ctrl-p	Normal/Visual	Import generated code
Esc	Prompt	Cancel input

1. Contextual Prompting

Ctrl-l to prompt LLM with context:

• Normal mode: Current file + line
• Visual mode: Current file + selected block

Example Prompt: Create a Chrome extension

2. Conversational Refinement

Ctrl-j to continue current thread.

Example Prompt: Use manifest V3 instead

3. Code Substitution

Ctrl-p to insert generated code block

• In Normal mode: Into last visual selection
• In Visual mode: Into current visual selection

Example Workflow:

1. Select a block of code in Visual mode
2. Prompt with Ctrl-l: Use regex to remove html tags from item.content
3. Press Ctrl-p to replace selection with generated code

Inline Directives

:VimLM [PROMPT] [!command1] [!command2]...

! prefix to embed inline directives in prompts:

Directive	Description
!include PATH	Add file/directory/shell output to context
!deploy DEST	Save code blocks to directory
!continue N	Continue stopped response
!followup	Continue conversation

1. Context Layering

!include [PATH]  # Add files/folders to context

• !include (no path): Current folder
• !include ~/projects/utils.py: Specific file
• !include ~/docs/api-specs/: Entire folder
• !include $(...): Shell command output

Example: Summarize recent changes !include $(git log --oneline -n 50)

2. Code Deployment

!deploy [DEST_DIR]  # Extract code blocks to directory

• !deploy (no path): Current directory
• !deploy ./src: Specific directory

Example: Create REST API endpoint !deploy ./api

3. Extending Response

!continue [MAX_TOKENS]  # Continue stopped response

• !continue: Default 2000 tokens
• !continue 3000: Custom token limit

Example: tl;dr !include large-file.txt !continue 5000

Command-Line Mode

:VimLM prompt [!command1] [!command2]...

Simplify complex tasks by chaining multiple commands together into a single, reusable Vim command.

Examples:

" Debug CI failures using error logs
:VimLM Fix Dockerfile !include .gitlab-ci.yml !include $(tail -n 20 ci.log)

" Generate unit tests for selected functions and save to test/
:VimLM Write pytest tests for this !include ./src !deploy ./test

" Add docstrings to all Python functions in file
:VimLM Add Google-style docstrings !include % !continue 4000

Configuration

1. Model Settings

Edit ~/vimlm/cfg.json:

{
  "LLM_MODEL": "mlx-community/DeepSeek-R1-Distill-Qwen-7B-4bit",
  "NUM_TOKEN": 32768
}

2. Key Customization

{
  "USE_LEADER": true,
  "KEY_MAP": {
    "l": "]",
    "j": "[",
    "p": "p" 
  }
}

License

Apache 2.0 - See LICENSE for details.