commitmate 1.0.2

Generates Conventional Commits-style messages from staged git diffs using a local Ollama model.

CommitMate

A command-line tool that reads your staged git changes and generates a Conventional Commits-style commit message using a local LLM via Ollama — no cloud API, no API keys, nothing leaves your machine.

You review the generated message and choose to accept it, edit it, or cancel — CommitMate never commits anything without your explicit approval.

Why

Writing good commit messages consistently is tedious, and generic "wip" or "fix stuff" commits make a project's history much less useful. CommitMate looks at what you've actually staged and proposes a properly formatted message you can accept as-is or tweak, without sending your code to any external service.

Prerequisites

• Python 3.9 or later
• Ollama installed and running locally
• A model pulled in Ollama. The tool defaults to llama3:

  ollama pull llama3
  

  qwen2.5-coder:7b is also recommended and performed better in testing on multi-file diffs (see Known Limitations below). If you want to use it, pull it too and pass --model qwen2.5-coder:7b:

  ollama pull qwen2.5-coder:7b
  

• Ollama's server running (usually automatic after install, or start manually):

  ollama serve
  

Installation

For users

Install directly from PyPI:

pip install commitmate

This registers a commitmate command on your system, callable from any git repository.

For developers / contributors

If you want to modify the source, run tests, or contribute:

git clone https://github.com/theishanpathak/commitmate.git
cd commitmate
pip install -e .

The -e (editable) install links the commitmate command back to your local source files, so any changes you make take effect immediately without reinstalling.

Usage

1. Stage some changes:

   git add <files>
   

   Tip: for best results, stage related changes together rather than many unrelated files at once. Smaller local models can struggle to summarize a diff spanning several unrelated files into a single, well-formatted commit message.
2. Run:

   commitmate
   

3. CommitMate will show a generated commit message and prompt you to choose:
   • accept — commits immediately with the generated message
   • edit — opens the message in your $EDITOR (falls back to nano on Mac/Linux, notepad on Windows) so you can revise it before committing
   • cancel — exits without committing; your staged changes are left untouched

How It Works

• git_utils.py — the only module that shells out to git (via subprocess). Retrieves the staged diff and file list, and performs the actual commit.
• ollama_client.py — a thin HTTP wrapper around Ollama's local /api/generate endpoint. Knows nothing about commit messages or git; it just sends a prompt and returns whatever text comes back.
• message_gen.py — pure, I/O-free logic. Builds the prompt (asking the model to return structured JSON rather than free text), and parses/validates/assembles that JSON into the final type(scope): description message.
• exceptions.py — a small hierarchy of custom exceptions (e.g. NotAGitRepositoryError, NoStagedChangesError, OllamaConnectionError, InvalidModelResponseError) so failures are caught and reported cleanly instead of surfacing as raw stack traces.
• cli.py — the composition root. Orchestrates the pipeline above, retries generation a few times if the model's response fails validation, and drives the accept/edit/cancel loop using rich for terminal output.

The model is prompted to return a JSON object (reasoning, type, scope, description, body) rather than a fully formatted commit message string. The actual type(scope): description text is then assembled in plain Python. This was a deliberate pivot after an earlier version — which asked the model to return the final formatted string directly — proved unreliable: local models frequently added preambles, markdown fences, or trailing explanations despite explicit instructions not to. Constraining the model to fill in a small number of discrete fields, and letting Python own the final formatting, removed that failure mode almost entirely.

A reasoning field is requested first in the JSON schema, before the other fields. Since JSON keys are generated in order, this gives the model a place to briefly "think" about the change before committing to a type/description, without breaking strict JSON output. This measurably improved how often the description stayed within a reasonable length.

If the model's response fails validation (wrong type, description too short, malformed JSON, etc.) after a few attempts, CommitMate shows a friendly message suggesting the diff may be too large or span too many unrelated files, rather than surfacing the raw internal validation error.

Known Limitations

• Multi-file diffs can produce longer subject lines. Smaller/general-purpose local models (tested: llama3, the default) sometimes struggle to keep the commit description under the ~72-character convention when a diff spans multiple unrelated files. In testing, qwen2.5-coder:7b performed noticeably better at staying within length limits on the same diffs. Consider passing --model qwen2.5-coder:7b if you run into this.
• No diff truncation. Very large staged diffs are sent to the model in full, with no length guard. This could hit context limits or slow down generation on large changes.
• Self-referential prompt confusion. If a staged diff itself contains text that looks like prompt instructions (for example, testing CommitMate on a diff to its own message_gen.py, which contains the prompt-building code), the model can occasionally get confused about what's an instruction versus what's data to summarize.
• GUI editors need a --wait-style flag. The edit flow waits for your editor process to exit before continuing. Terminal editors (nano, vim) work out of the box. GUI editors need an explicit wait flag, e.g.:

  export EDITOR="code --wait"
  

  Without it, editors like VS Code return immediately and CommitMate will read the file back before you've finished editing.
• No automated test suite yet. The pure functions in message_gen.py (especially clean_response and parse_model_response) are strong candidates for unit tests; this hasn't been added yet.

Configuration

• $EDITOR — controls which editor opens during the edit flow. Defaults to nano (Mac/Linux) or notepad (Windows) if unset.
• --model — choose which Ollama model to use. Defaults to llama3:

  commitmate --model qwen2.5-coder:7b
  

  See Known Limitations above for why qwen2.5-coder:7b may give better results on multi-file diffs.

Requirements

• requests
• rich

(See requirements.txt.)

Contributing

Contributions are welcome. After cloning and installing with pip install -e . (see Installation above), you can make changes and test them immediately with the commitmate command, no reinstall needed.

If you want to build the distributable package yourself:

pip install build
python -m build

This produces a .whl and .tar.gz in dist/, which you can install into a fresh virtual environment to verify the packaging is correct before opening a PR.

Author

Ishan Pathak theishanpathak.com