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AI-generated git commit messages that learn your project's style

Project description

commitr

AI-generated git commit messages that learn your project's style — language, format, scope, emoji, body conventions. Built-in support for 7 AI providers and 100+ models via LiteLLM.

Stage your changes, run commitr, accept / edit / regenerate, commit. That's it.

Supported providers

Out-of-the-box presets — see them anytime with commitr providers:

Preset Default model Key env Notes
deepseek deepseek/deepseek-v4-flash DEEPSEEK_API_KEY V4 Flash · 1M ctx · ~$0.14/$0.28 per Mtok · strong on Chinese
openai gpt-5.4-mini OPENAI_API_KEY GPT-5.4 mini · reliable, good quality/cost balance
anthropic claude-haiku-4-5 ANTHROPIC_API_KEY Haiku 4.5 · excellent style matching, cheap
gemini gemini/gemini-3.5-flash GEMINI_API_KEY Gemini 3.5 Flash · free tier available
mistral mistral/mistral-small-latest MISTRAL_API_KEY Mistral Small 4 · EU-hosted · $0.15/$0.60 per Mtok
groq groq/qwen/qwen3-32b GROQ_API_KEY Qwen3 32B · blazing fast inference
ollama ollama/qwen2.5-coder:7b local, zero-cost, zero-leakage

Defaults verified May 2026. Use --model <litellm-string> for any other model (DeepSeek V4 Pro, Claude Sonnet 4.6, GPT-5.5, Gemini 3.5 Pro, …).

Want a different model from the same provider? Use --model <litellm-string> directly.

Install

Requires Python ≥ 3.12 and uv.

git clone https://github.com/Furinelle/commitr ~/Documents/Github/commitr
cd ~/Documents/Github/commitr
uv sync

# (optional) put it on your PATH
ln -s "$PWD/.venv/bin/commitr" /usr/local/bin/commitr

Quick start

Zero-config path — just export a key, commitr auto-detects:

export DEEPSEEK_API_KEY=sk-...        # (or OPENAI_API_KEY, ANTHROPIC_API_KEY, ...)

cd /your/project
git add somefile
commitr                                # uses the first provider whose key is set

You'll get an interactive prompt:

╭───── Proposed commit (via deepseek/deepseek-chat) ─────╮
│ feat(parser): handle empty heredoc                     │
│                                                        │
│ Returned an empty string instead of raising; fixes #42.│
╰────────────────────────────────────────────────────────╯
? What now?
❯ Accept and commit
  Edit before committing
  Regenerate
  Cancel

Configuration

commitr reads config from three layers, with this precedence:

  1. CLI flags: --model > --provider
  2. Environment: $COMMITR_MODEL, plus the provider's key env vars
  3. Config file: ~/.config/commitr/config.toml
  4. Auto-detect: first provider with a key set in the environment

Set it once and forget it

commitr config --init

That creates two files:

  • ~/.config/commitr/config.toml — pick your default provider/model
  • ~/.config/commitr/.env — put your API keys here (loaded automatically)

Example config.toml:

[default]
# Leave this commented to auto-detect from configured API keys,
# or uncomment to pin a default provider.
# provider = "deepseek"
# model = "deepseek/deepseek-reasoner"   # or override with an exact model string

Example .env:

DEEPSEEK_API_KEY=sk-...
OPENAI_API_KEY=sk-...

Inspect

commitr providers     # table of presets + which keys are configured
commitr config        # show the resolved model + config file locations

CLI

commitr                                # interactive (default)
commitr --yes                          # commit without asking (CI-friendly)
commitr --dry-run                      # print the message; don't commit
commitr --split                        # analyze diff; propose multi-commit split
commitr --split --yes                  # non-interactive split (commits every group)
commitr --version                      # print version and exit
commitr --provider deepseek            # use a preset, just for this run
commitr --model deepseek/deepseek-reasoner   # exact model override
commitr providers                      # subcommand: list providers
commitr config --init                  # subcommand: write template config
commitr style                          # inspect learned commit style
commitr doctor                         # check staged changes before generation
commitr install-hook                   # install prepare-commit-msg git hook
commitr uninstall-hook                 # remove the git hook

Git-hook mode (commitr install-hook)

Want plain git commit to "just work" with AI? Install the hook once per repo:

cd /your/project
commitr install-hook

From then on, git commit (no -m) opens your editor with a pre-filled message:

git add some-file
git commit              # editor opens with AI-generated message already there
# edit / save / done
  • Skips when you pass -m, on merge / squash commits, or if commitr isn't on PATH
  • Silently falls back to an empty editor if the LLM call fails (your commit isn't blocked)
  • Remove it any time: commitr uninstall-hook

Smart commit splitting (--split)

When you staged a feature and an unrelated bugfix and some docs in one go, commitr --split asks the model to group your staged files into independent commits. You then walk through each group:

╭─ Group 1/3 · 2 file(s) · Adds the new heredoc edge case to the parser. ─╮
│ feat(parser): handle empty heredoc                                       │
│                                                                          │
│ Files:                                                                   │
│   src/parser.py                                                          │
│   src/utils.py                                                           │
╰──────────────────────────────────────────────────────────────────────────╯
? What now?
❯ Commit this group
  Edit message, then commit
  Skip this group
  Stop (abort remaining)
  • File-level splitting only (no hunk-splitting — yet).
  • The model is instructed to only split clearly independent changes.
  • Stopping or skipping leaves untouched files re-staged so you can finish manually.

How style learning works

For every run, commitr collects:

  • The last 20 commit subjects (broad style scan)
  • The last 5 full commit messages (subject + body — few-shot examples)

These go into the prompt with explicit instructions to detect and match: language, scope usage, emoji usage, body usage, and type vocabulary. So if your repo writes Chinese commits with (scope) and gitmoji, you'll get Chinese commits with (scope) and gitmoji.

You can inspect the inferred profile without calling an LLM:

commitr style

Example output:

╭──────────── Commit style profile ────────────╮
│ Language: English                            │
│ Conventional commits: yes                    │
│ Emoji prefix: no                             │
│ Body usage: occasional                       │
│ Types: feat, fix, docs                       │
│ Scopes: cli, config                          │
╰──────────────────────────────────────────────╯

Commit doctor

Before asking the model, you can run a local preflight check:

commitr doctor

doctor catches deterministic issues such as:

  • no staged changes
  • missing model/provider configuration
  • binary diffs where content is invisible to the model
  • very large diffs that may lose details
  • lockfile-only commits that may be missing the dependency change

Roadmap

  • MVP: read staged diff → LLM → interactive accept/edit/regen → commit
  • Style learning from git log
  • Multi-provider presets + config file + .env loading
  • Smart commit splitting (file-level, --split)
  • prepare-commit-msg git-hook mode (commitr install-hook)
  • Optional Co-Authored-By trailer (per-repo opt-in)
  • Local style and doctor inspection commands
  • Hunk-level commit splitting (within a file)
  • Semantic diff noise filtering
  • Team policy file (.commitr.toml)
  • Diff caching (don't re-call the LLM for identical diffs)
  • Binary diff detection & skip
  • Homebrew tap & PyPI release

Project layout

src/commitr/
├── __init__.py   # Typer CLI: callback + subcommands
├── config.py     # provider presets, config & .env loading, model resolution
├── doctor.py     # local staged-diff health checks
├── git.py        # subprocess wrappers around git
├── hook.py       # prepare-commit-msg install / uninstall / fill
├── llm.py        # LiteLLM call + style-aware prompt
├── splitter.py   # LLM-driven multi-commit grouping (`--split`)
└── style.py      # commit history style inference

License

MIT.

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