LLM-powered git commit message generator
Generates conventional commits from git diffs using Claude AI or any OpenAI-compatible API.
Automatic changelog maintenance, multi-commit composition, and full history rewriting.
Features
- Conventional commits — Generates properly formatted commit messages with type, scope, and past-tense summary (≤72 chars)
- Automatic changelogs — Maintains
CHANGELOG.mdfollowing Keep a Changelog format with monorepo support - Compose mode — Splits large staged changes into multiple logical atomic commits
- Rewrite mode — Converts entire git history to conventional commits (with automatic backup)
- Map-reduce analysis — Parallel per-file analysis for large commits without truncation
- Any LLM provider — Works with Anthropic, OpenAI, OpenRouter, or any OpenAI-compatible API
Quick Start
# Install
uv tool install lgit-cli
# Configure (pick one)
export LLM_GIT_API_KEY=your_anthropic_key # Direct Anthropic
export LLM_GIT_API_URL=https://openrouter.ai/api/v1 # OpenRouter
litellm --port 4000 # Local proxy (default)
# Use
git add .
lgit # Analyze, update changelog, commit
lgit --dry-run # Preview without committing
lgit --compose # Split into multiple commits
Usage
Basic Commands
lgit # Analyze staged changes and commit
lgit --dry-run # Preview message without committing
lgit --copy # Copy message to clipboard
lgit -p # Commit and push
lgit -S # GPG sign the commit
lgit -s # Add Signed-off-by trailer
lgit --amend # Amend the previous commit
lgit > msg.txt # Save raw message to file (auto-detected pipe mode)
lgit --dry-run | git commit -F - # Generate message and commit with custom git flags
# Modes
lgit --mode=unstaged # Preview unstaged changes (no commit)
lgit --mode=commit --target=HEAD~1 # Analyze a specific commit
# Models
lgit -m opus # Use Opus for analysis (more capable)
lgit -m sonnet # Use Sonnet (default)
# Context
lgit Fixed regression from PR #123 # Add context via trailing text
lgit --fixes 123 456 # Add "Fixes #123, #456" to body
lgit --breaking # Mark as breaking change
Compose Mode
Split staged changes into multiple logical commits:
lgit --compose # Propose and create atomic commits
lgit --compose --compose-preview # Preview splits without committing
lgit --compose --compose-max-commits 5
lgit --compose --compose-test-after-each
Rewrite Mode
Convert repository history to conventional commits:
lgit --rewrite # Rewrite full history (creates backup)
lgit --rewrite --rewrite-preview 10 # Preview first 10 commits
lgit --rewrite --rewrite-dry-run # Show all changes without applying
lgit --rewrite --rewrite-start main~50 # Rewrite last 50 commits only
lgit --rewrite --rewrite-parallel 20 # 20 concurrent API calls
Profiling Trace
Write detailed tracing spans and HTTP timing events to a JSONL file:
lgit --trace-output /tmp/lgit-profile.jsonl --dry-run
LLM_GIT_TRACE_FILE=/tmp/lgit-profile.jsonl lgit --compose
Each span close event includes busy/idle timing from tracing-subscriber; API events also record TTFT, total response time, status, and response size.
Automatic Changelog
lgit automatically maintains CHANGELOG.md files when committing:
- Auto-detection — Finds all
CHANGELOG.mdfiles in your repository - Monorepo support — Routes changes to the correct changelog based on file paths
- Deduplication — Skips entries semantically similar to existing ones
- Category mapping — Maps commit types to sections (Added, Fixed, Changed, etc.)
project/
├── CHANGELOG.md ← covers: src/, docs/
├── packages/
│ ├── core/
│ │ └── CHANGELOG.md ← covers: packages/core/**
│ └── cli/
│ └── CHANGELOG.md ← covers: packages/cli/**
Disable with --no-changelog or changelog_enabled = false in config.
Configuration
Create ~/.config/llm-git/config.toml:
# API
api_base_url = "http://localhost:4000" # Default: LiteLLM proxy
api_key = "sk-..." # Or use LLM_GIT_API_KEY env var
# Model — any role accepts a `;`-separated fallback chain, tried left to right
analysis_model = "claude-sonnet-4.5" # Diff analysis / classification
summary_model = "claude-haiku-4-5" # Summary line generation
map_model = "" # Per-file map phase; empty = summary_model
fast_model = "flash-lite;haiku" # Fast mode; falls back when the primary stalls
# Commit message limits
summary_guideline = 72 # Target length
summary_soft_limit = 96 # Triggers retry
summary_hard_limit = 128 # Absolute max
# Features
changelog_enabled = true
auto_fast_threshold_lines = 200 # Auto-use fast mode for small diffs; 0 disables
map_reduce_enabled = true # Parallel analysis for large commits
disable_git_background_features = true # Disables fsmonitor/untrackedCache for lgit subprocesses
# Commit signing
gpg_sign = false # GPG sign commits by default (-S)
signoff = false # Add Signed-off-by trailer by default (-s)
Provider Examples
Anthropic Direct:
api_base_url = "https://api.anthropic.com/v1"
api_key = "sk-ant-..."
OpenRouter:
api_base_url = "https://openrouter.ai/api/v1"
api_key = "sk-or-..."
analysis_model = "anthropic/claude-sonnet-4.5"
summary_model = "anthropic/claude-haiku-4-5"
OpenAI:
api_base_url = "https://api.openai.com/v1"
api_key = "sk-..."
analysis_model = "gpt-4o"
summary_model = "gpt-4o-mini"
The client asks all providers for markdown/plain-text responses and parses the same response format across OpenRouter, LiteLLM, Anthropic, and OpenAI endpoints.
Commit Types
Customize commit type classification:
[types.feat]
description = "New public API or user-observable behavior change"
diff_indicators = ["pub fn", "pub struct", "export function"]
[types.fix]
description = "Fixes incorrect behavior"
diff_indicators = ["unwrap() → ?", "bounds check", "error handling"]
[types.refactor]
description = "Internal restructuring with unchanged behavior"
hint = "If behavior changes, use feat instead."
Changelog Categories
[[categories]]
name = "Breaking"
header = "Breaking Changes"
match.body_contains = ["breaking", "incompatible"]
[[categories]]
name = "Added"
match.types = ["feat"]
[[categories]]
name = "Fixed"
match.types = ["fix"]
[[categories]]
name = "Changed"
default = true
Environment Variables
| Variable | Description | Default |
|---|---|---|
LLM_GIT_API_URL |
API endpoint | http://localhost:4000 |
LLM_GIT_API_KEY |
API key | none |
LLM_GIT_CONFIG |
Config file path | ~/.config/llm-git/config.toml |
LLM_GIT_VERBOSE |
Debug output | false |
LLM_GIT_TRACE_FILE |
JSONL profiling trace output path | none |
Installation
From PyPI
uv tool install lgit-cli # recommended
pipx install lgit-cli # or
pip install lgit-cli
From source
git clone https://github.com/can1357/llm-git.git
cd llm-git
uv tool install .
Prerequisites
- Python 3.14+
- Git
- API access (Anthropic, OpenAI, OpenRouter, or local LiteLLM proxy)
License
MIT
Metadata
Release files for lgit-cli 5.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lgit_cli-5.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 929.6 kB
Release files / lgit_cli-5.4.0.tar.gz
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| Uploaded via |
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