vim-ollama
Vim plugin for integrating Ollama based LLM (large language models)
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The 'vim-ollama' plugin for Vim adds Copilot-like code completion support using Ollama as a backend, enabling intelligent AI-based code completion and integrated chat support for code reviews. It does not rely on cloud services, preserving user privacy. The plugin communicates with Ollama via Python scripts for code completion and interactive chat, supporting Vim only. Users can configure LLM models for code completion tasks and interactive conversations, with detailed installation and usage instructions provided in the README.
README:
This plugin adds Copilot-like code completion support to Vim. It uses Ollama as a backend, which can run locally and does not require cloud services, thus preserving your privacy.
Copilot.vim by Tim Pope is an excellent plugin for both Vim and NeoVim. However, it is limited to Microsoft's Copilot, a commercial cloud-based AI that requires sending all your data to Microsoft.
With Ollama and freely available LLMs (e.g., Llama3, Codellama, Deepseek-coder-v2, etc.), you can achieve similar results without relying on the cloud. While other plugins are available, they typically require NeoVim, which isn't an alternative for me. I prefer using Vim in the terminal and do not want to switch to NeoVim for various reasons.
- Intelligent AI-based code completion (aka tab completion)
- Integrated chat support for code reviews and other interactions
- Automatic code editing based on natural language (NEW in V1.0)
- Supports inline-diff view for accepting changes interactively
- Or accept without prompt for a Git based workflow using vim-fugitive
(e.g. using
:Gvdiffsplit)
- Python venv support for easier installation (NEW in V1.1)
The plugin uses Python scripts, e.g. complete.py and chat.py, to communicate with Ollama via its REST API. The first
script handles code completion tasks, while the second script is used for interactive chat conversations. The Vim plugin
uses these scripts via I/O redirection to integrate AI results into Vim.
[!NOTE] This plugin supports Vim only, not NeoVim! If you're looking for a NeoVim plugin, check out LLM.
[!NOTE] Since V1.1.0 the plugin can create a Python virtual environment and install all dependencies automatically, when you run the setup wizard. This wizard is started automatically when you use the plugin for the first time. You can also use
:Ollama setupto run it again. This section is kept for users who started with an older version. I recommend migrating to the new configuration, though. I might remove this section in the future, when the new venv support has proven to work well.
- Python 3.x
- Python package:
httpx>=0.23.3,requests,jinja2
If you're using a Debian-based distribution, you can install the required library directly:
sudo apt install python3-httpx python3-jinja2 python3-requestsSystem wide installation using pip install is not recommended,
use a virtual environment instead.
You need to run Vim from a shell with this Python environment to make this working.
Example:
python -m venv $HOME/vim-ollama
source $HOME/vim-ollama/bin/activate
pip install httpx>=0.23.3
pip install requests
pip install jinja2Testing: You can test the python script on the shell to verify that it is working and all requirements are found. The script should output a completion as shown below:
$> cd path/to/vim-ollama/python
$> echo -e 'def compute_gcd(x, y): <FILL_IN_HERE>return result' | ./complete.py -u http://localhost:11434 -m codellama:7b-code
if x == 0:
return y
else:
return compute_gcd(y % x, x)
def compute_lcm(x, y):
result = (x * y) / compute_gcd(x, y)Install gergap/vim-ollama using vim-plug or any other plugin manager.
vim-plug example:
call plug#begin()
...
Plug 'gergap/vim-ollama'
call plug#end()Since V0.4, the plugin includes a setup wizard that helps you set up your initial configuration. This is especially useful for new users who are not familiar with Ollama or the different LLMs available as Open Source.
The plugin will run the wizard automatically if the configuration file
~/.vim/config/ollama.vim does not yet exist. If you want to start the wizard
again, you can use the command :Ollama setup at any time, but be aware that
it will overwrite the configuration file at the end.
It is recommended to use the file ~/.vim/config/ollama.vim for configuring Vim-Ollama,
but you can also override the settings in ~/.vimrc as in previous versions.
Use the command :Ollama config to open the Vim-Ollama configuration file.
If you are migrating from previous versions, note that the FIM tokens are not configured anymore in Vim,
but in the bundled JSON config files. You can simply remove the old settings from your
.vimrc. The plugin should work with the most popular models out-of-the-box.
The most important variables: (see :help vim-ollama for more information)
| Variable | Default | Description |
|---|---|---|
g:ollama_host |
http://localhost:11434 |
The URL of the Ollama server. |
g:ollama_model |
starcoder2:3b |
The LLM for code completions. |
g:ollama_edit_model |
qwen2.5-coder:3b |
The LLM for code editing tasks. |
g:ollama_chat_model |
llama3.1:8b |
The LLM for chat conversations. |
When adding new unsupported code completion models you will see an error like ERROR - Config file .../python/configs/foobar.json not found..
Simply add this missing file and create a merge request to get it included upstream.
Consult the model's documentation to find out the correct tokens.
Simply start coding. The completions will appear as "ghost text" and can be accepted by pressing <tab>. To ignore
them, just continue typing or press <C-]> to dismiss the suggestion.
You can also accept just the one line using <M-Right> (Alt-Right) or one word
using <M-C-Right> (Alt-Ctrl-Right) if you don't want to use the complete suggestion.
See :help vim-ollama for more information.
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