├── git_llm ├── __init__.py ├── utils │ ├── __init__.py │ ├── git.py │ └── helpers.py ├── prompt.py ├── cli.py └── llm.py ├── .github ├── FUNDING.yml └── workflows │ └── python-publish.yml ├── pyproject.toml ├── requirements.txt ├── README.md ├── .gitignore ├── LICENSE └── poetry.lock /git_llm/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /git_llm/utils/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /.github/FUNDING.yml: -------------------------------------------------------------------------------- 1 | # These are supported funding model platforms 2 | 3 | github: [] -------------------------------------------------------------------------------- /git_llm/utils/git.py: -------------------------------------------------------------------------------- 1 | from git import Repo 2 | 3 | ALLOW_FILES = ['.js', '.mjs', '.ts', '.tsx', '.css', '.scss', '.less', '.html', '.htm', '.json', '.py', 4 | '.java', '.c', '.cpp', '.cs', '.go', '.php', '.rb', '.rs', '.swift', '.kt', '.scala', '.m', '.h', 5 | '.sh', '.pl', '.pm', '.lua', '.sql', '.r', '.rmd', '.dart'] 6 | 7 | 8 | class Git: 9 | def __init__(self): 10 | self.repo = Repo(search_parent_directories=True) 11 | if not self.has_repository(): 12 | raise Exception("🤖 No git repository found") 13 | 14 | def has_repository(self): 15 | return self.repo.bare is False 16 | 17 | def git_diff(self): 18 | allowed_extensions = [f"*{ext}" for ext in ALLOW_FILES] 19 | return self.repo.git.diff("--staged", "--diff-filter=ACMRT", "--", *allowed_extensions) 20 | 21 | def git_commit(self, message): 22 | return self.repo.git.commit("-m", message) 23 | 24 | 25 | git = Git() 26 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "git-llm" 3 | version = "0.1.3" 4 | description = "The project integrates Git with a llm (OpenAI, LlamaCpp, and GPT-4-All) to extend the capabilities of git." 5 | authors = ["Saryev Rustam "] 6 | readme = "README.md" 7 | keywords = ["chatgpt", "openai", "cli"] 8 | packages = [{ include = "git_llm" }] 9 | 10 | [tool.poetry.dependencies] 11 | python = "^3.9" 12 | gitpython = "^3.1.31" 13 | langchain = "^0.0.277" 14 | halo = "^0.0.31" 15 | fire = "^0.5.0" 16 | questionary = "^1.10.0" 17 | urllib3 = "1.26.6" 18 | openai = "^0.27.7" 19 | tiktoken = "^0.4.0" 20 | torch = "^2.0.1" 21 | gpt4all = "^0.2.3" 22 | transformers = "^4.35.0" 23 | 24 | [project.urls] 25 | "Source" = "https://github.com/rsaryev/git-llm" 26 | "Bug Tracker" = "https://github.com/rsaryev/git-llm/issues" 27 | 28 | [build-system] 29 | requires = ["poetry-core"] 30 | build-backend = "poetry.core.masonry.api" 31 | 32 | [tool.poetry.scripts] 33 | git-llm = "git_llm.cli:main" 34 | -------------------------------------------------------------------------------- /git_llm/utils/helpers.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | import yaml 4 | 5 | config_path = os.path.join(os.path.expanduser("~"), ".git_llm_config.yaml") 6 | 7 | MODEL_TYPES = { 8 | "OPENAI": "openai", 9 | "LOCAL": "local", 10 | "OLLAMA": "ollama", 11 | } 12 | 13 | DEFAULT_CONFIG = { 14 | "max_tokens": "1048", 15 | "model_name": "gpt-3.5-turbo", 16 | "model_path": "models/ggml-gpt4all-j-v1.3-groovy.bin", 17 | "model_type": MODEL_TYPES["OPENAI"], 18 | "chunk_size": 4000, 19 | "chunk_overlap": 200, 20 | } 21 | 22 | 23 | def save_config(config): 24 | print(f"🤖 Saving config to {config_path}") 25 | with open(config_path, "w") as f: 26 | yaml.dump(config, f) 27 | 28 | 29 | def get_config(): 30 | print(f"🤖 Loaded config from {config_path}") 31 | if os.path.exists(config_path): 32 | with open(config_path, "r") as f: 33 | config = yaml.safe_load(f) 34 | else: 35 | config = DEFAULT_CONFIG 36 | save_config(config) 37 | return config 38 | -------------------------------------------------------------------------------- /git_llm/prompt.py: -------------------------------------------------------------------------------- 1 | from langchain import PromptTemplate 2 | 3 | m_changelog_prompt = PromptTemplate( 4 | template="""Write a 5-line summary of changes shown in the provided 5 | Return only changes in the form of a list without any additional text. 6 | Git diff: 7 | ```{text}```""", input_variables=['text']) 8 | 9 | c_changelog_prompt = PromptTemplate( 10 | template="""You are reviewing the changelog and combining it. 11 | Return only a list of changes without any additional text. 12 | The changes: 13 | ```{text}```""", input_variables=['text']) 14 | 15 | m_commit_prompt = PromptTemplate( 16 | template="""Reviewing the changes and crafting the commit message in Conventional Commits format. 17 | To summarize the commit in one line, extract only the title and omit any additional text. 18 | In the following git diff chunk, `-` indicates deleted lines and `+` indicates added lines: 19 | ```{text}```""", 20 | input_variables=['text'] 21 | ) 22 | 23 | c_commit_prompt = PromptTemplate(template="""Combine the following commit messages in Conventional Commits format. 24 | To summarize the commit in one line, extract only the title and omit any additional text. 25 | The commits: 26 | ```{text}```""", input_variables=['text']) 27 | -------------------------------------------------------------------------------- /.github/workflows/python-publish.yml: -------------------------------------------------------------------------------- 1 | # This workflow will upload a Python Package using Twine when a release is created 2 | # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries 3 | 4 | # This workflow uses actions that are not certified by GitHub. 5 | # They are provided by a third-party and are governed by 6 | # separate terms of service, privacy policy, and support 7 | # documentation. 8 | 9 | name: Upload Python Package 10 | 11 | on: 12 | workflow_dispatch: 13 | 14 | permissions: 15 | contents: read 16 | 17 | jobs: 18 | deploy: 19 | 20 | runs-on: ubuntu-latest 21 | 22 | steps: 23 | - uses: actions/checkout@v3 24 | - name: Set up Python 25 | uses: actions/setup-python@v3 26 | with: 27 | python-version: '3.x' 28 | - name: Install dependencies 29 | run: | 30 | python -m pip install --upgrade pip 31 | pip install build 32 | - name: Build package 33 | run: python -m build 34 | - name: Publish package 35 | uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29 36 | with: 37 | user: __token__ 38 | password: ${{ secrets.PYPI_API_TOKEN }} 39 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | aiohttp==3.8.4 2 | aiosignal==1.3.1 3 | anyio==3.7.0 4 | async-timeout==4.0.2 5 | attrs==23.1.0 6 | backoff==2.2.1 7 | certifi==2023.5.7 8 | charset-normalizer==3.1.0 9 | click==8.1.3 10 | clickhouse-connect==0.5.25 11 | colorama==0.4.6 12 | coloredlogs==15.0.1 13 | dataclasses-json==0.5.7 14 | duckdb==0.8.0 15 | exceptiongroup==1.1.1 16 | faiss-cpu==1.7.4 17 | fastapi==0.95.2 18 | fire==0.5.0 19 | flatbuffers==23.5.26 20 | frozenlist==1.3.3 21 | gitdb==4.0.10 22 | GitPython==3.1.31 23 | h11==0.14.0 24 | halo==0.0.31 25 | httptools==0.5.0 26 | humanfriendly==10.0 27 | idna==3.4 28 | langchain==0.0.277 29 | log-symbols==0.0.14 30 | lz4==4.3.2 31 | marshmallow==3.19.0 32 | marshmallow-enum==1.5.1 33 | monotonic==1.6 34 | mpmath==1.3.0 35 | multidict==6.0.4 36 | mypy-extensions==1.0.0 37 | numexpr==2.8.4 38 | numpy==1.24.3 39 | onnxruntime==1.15.0 40 | openai==0.27.7 41 | openapi-schema-pydantic==1.2.4 42 | overrides==7.3.1 43 | packaging==23.1 44 | pandas==2.0.2 45 | posthog==3.0.1 46 | prompt-toolkit==3.0.38 47 | protobuf==4.23.2 48 | pydantic==1.10.8 49 | python-dateutil==2.8.2 50 | python-dotenv==1.0.0 51 | pytz==2023.3 52 | PyYAML==6.0 53 | questionary==1.10.0 54 | regex==2023.5.5 55 | requests==2.31.0 56 | six==1.16.0 57 | smmap==5.0.0 58 | sniffio==1.3.0 59 | spinners==0.0.24 60 | SQLAlchemy==2.0.15 61 | starlette==0.27.0 62 | sympy==1.12 63 | tenacity==8.2.2 64 | termcolor==2.3.0 65 | tiktoken==0.4.0 66 | tokenizers==0.13.3 67 | tqdm==4.65.0 68 | typing-inspect==0.9.0 69 | typing_extensions==4.6.2 70 | tzdata==2023.3 71 | urllib3==1.26.6 72 | uvicorn==0.22.0 73 | uvloop==0.17.0 74 | watchfiles==0.19.0 75 | wcwidth==0.2.6 76 | websockets==11.0.3 77 | yarl==1.9.2 78 | zstandard==0.21.0 79 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## git-llm 2 | 3 | The project integrates Git with a llm (OpenAI, LlamaCpp, and GPT-4-All) to extend the capabilities of git. It supports 4 | offline processing using [GPT4All](https://github.com/nomic-ai/gpt4all) without sharing your code with third parties, or 5 | you can use OpenAI if privacy is not a concern for you. It is only recommended for educational purposes and not for 6 | production use. 7 | 8 | ### Installation 9 | 10 | To install `git-llm`, you need to have Python 3.9 and an OpenAI API 11 | key [api-keys](https://platform.openai.com/account/api-keys). Additionally, if you want to use the GPT4All model, you 12 | need to download the [ggml-gpt4all-j-v1.3-groovy.bin](https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin) model. 13 | If you prefer a different model, you can download it from [GPT4All](https://gpt4all.io) and configure path to it in the 14 | configuration and specify its path in the configuration. If you want some files to be ignored, add them to .gitignore. 15 | Alternatively you could point to an [Ollama](https://ollama.ai/) server. 16 | 17 | To install `git-llm`, run the following command in your terminal: 18 | 19 | ```bash 20 | pip install git-llm 21 | ``` 22 | 23 | ### Usage 24 | 25 | To use `git-llm`, you need to configure it first. To do this, run the following command: 26 | 27 | ```bash 28 | git-llm config 29 | ``` 30 | 31 | Use a llm to generate a list of changes, then review the staged changes using `git diff --staged`. 32 | 33 | ```bash 34 | git-llm changelog 35 | ``` 36 | 37 | Use a llm to generate a commit message following the Conventional format, then review the staged changes 38 | using `git diff --staged`. 39 | 40 | ```bash 41 | git-llm commit 42 | ``` 43 | 44 | You can also edit the configuration manually by editing the `~/.git_llm_config.yaml` file. If for some reason you cannot 45 | find the configuration file, just run the tool and at the very beginning it will output the path to the configuration 46 | file. 47 | 48 | ```yaml 49 | # The OpenAI API key. You can get it from https://beta.openai.com/account/api-keys 50 | api_key: sk-xxx 51 | # maximum size of a chunk of text to be sent to the model 52 | chunk_size: 500 53 | # the maximum tokens 54 | max_tokens: 1048 55 | # model name for the OpenAI API 56 | model_name: gpt-3.5-turbo 57 | # model path for the local model 58 | model_path: models/ggml-gpt4all-j-v1.3-groovy.bin 59 | # model type: openai or local 60 | model_type: openai 61 | ``` 62 | 63 | ### Features 64 | 65 | More commands will be added in the future. 66 | 67 | ### Contributing 68 | 69 | Contributions are always welcome! -------------------------------------------------------------------------------- /git_llm/cli.py: -------------------------------------------------------------------------------- 1 | import fire 2 | import questionary 3 | 4 | from git_llm.llm import factory_llm 5 | from git_llm.prompt import c_changelog_prompt, m_changelog_prompt, m_commit_prompt, c_commit_prompt 6 | from git_llm.utils.git import git 7 | from git_llm.utils.helpers import get_config, DEFAULT_CONFIG, save_config 8 | 9 | 10 | def check_for_changes(): 11 | diff = git.git_diff() 12 | if not diff: 13 | print("🤖 No changes found try git add .") 14 | exit(0) 15 | return diff 16 | 17 | 18 | def changelog(): 19 | config = get_config() 20 | llm = factory_llm(config) 21 | 22 | diff = check_for_changes() 23 | docs = llm.text_splitter(diff) 24 | log = llm.summarize_docs(docs, m_changelog_prompt, c_changelog_prompt) 25 | print(log) 26 | 27 | 28 | def commit(): 29 | config = get_config() 30 | llm = factory_llm(config) 31 | 32 | diff = check_for_changes() 33 | docs = llm.text_splitter(diff) 34 | 35 | summary = llm.summarize_docs(docs, m_commit_prompt, c_commit_prompt) 36 | ask = questionary.confirm(f"🤖 Do you want to commit with message: {summary}?").ask() 37 | if not ask: 38 | print("🤖 Bye!") 39 | exit(0) 40 | git.git_commit(summary) 41 | 42 | 43 | def configure(): 44 | config = get_config() 45 | model_type = questionary.select( 46 | "🤖 Select model type:", 47 | choices=[ 48 | {"name": "OpenAI", "value": "openai"}, 49 | {"name": "Local", "value": "local"}, 50 | {"name": "Ollama", "value": "ollama"}, 51 | ] 52 | ).ask() 53 | config["model_type"] = model_type 54 | if model_type == "openai": 55 | model_name = input("🤖 Enter your model name (default: gpt-3.5-turbo): ") or DEFAULT_CONFIG["model_name"] 56 | config["model_name"] = model_name 57 | 58 | api_key = questionary.password("🤖 Enter your API key: ").ask() 59 | config["api_key"] = api_key 60 | if model_type == "ollama": 61 | model_name = input("🤖 Enter your model name (default: llama2): ") or "llama2" 62 | config["model_name"] = model_name 63 | 64 | base_url = input("🤖 Enter your base url (default: http://localhost:11434)") or "http://localhost:11434" 65 | config["base_url"] = base_url 66 | else: 67 | model_path = input(f"🤖 Enter your model path: (default: {DEFAULT_CONFIG['model_path']}) ") 68 | config["model_path"] = model_path 69 | 70 | save_config(config) 71 | 72 | 73 | def main(): 74 | try: 75 | fire.Fire({ 76 | "changelog": changelog, 77 | "config": configure, 78 | "commit": commit, 79 | }) 80 | except KeyboardInterrupt: 81 | print("\n🤖 Bye!") 82 | except Exception as e: 83 | if str(e) == "": 84 | print("🤖 Please configure your API key. Use talk-codebase configure") 85 | else: 86 | raise e 87 | 88 | 89 | if __name__ == "__main__": 90 | main() 91 | -------------------------------------------------------------------------------- /git_llm/llm.py: -------------------------------------------------------------------------------- 1 | from halo import Halo 2 | from langchain.callbacks.manager import CallbackManager 3 | from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler 4 | from langchain.chains.summarize import load_summarize_chain 5 | from langchain.chat_models import ChatOpenAI 6 | from langchain.llms import GPT4All 7 | from langchain.llms import Ollama 8 | from langchain.schema import Document 9 | from langchain.text_splitter import RecursiveCharacterTextSplitter 10 | 11 | 12 | class BaseLLM: 13 | """ 14 | Base class for LLM instances with common functionality. 15 | """ 16 | 17 | def __init__(self, config): 18 | self.config = config 19 | self.llm = self._create_model() 20 | 21 | def _create_model(self): 22 | """ 23 | Factory method pattern implemented in subclass. 24 | """ 25 | raise NotImplementedError("Subclasses must implement this method.") 26 | 27 | @Halo(text='Summarizing', spinner='dots') 28 | def summarize_docs(self, docs, m_prompt, c_prompt): 29 | summarize_chain = load_summarize_chain(self.llm, 30 | chain_type="map_reduce", 31 | combine_prompt=c_prompt, 32 | map_prompt=m_prompt) 33 | return summarize_chain.run(docs) 34 | 35 | def text_splitter(self, text): 36 | texts = RecursiveCharacterTextSplitter(chunk_size=int(self.config.get("chunk_size")), 37 | chunk_overlap=int(self.config.get("chunk_overlap")) 38 | ).split_text(text) 39 | docs = [Document(page_content=t) for t in texts] 40 | return docs 41 | 42 | 43 | class LocalLLM(BaseLLM): 44 | """ 45 | LLM that works locally on the user's machine. 46 | """ 47 | 48 | def _create_model(self): 49 | callback_manager = CallbackManager([StreamingStdOutCallbackHandler()]) 50 | llm = GPT4All( 51 | model=self.config["model_path"], 52 | n_ctx=int(self.config["max_tokens"]), 53 | callback_manager=callback_manager 54 | ) 55 | return llm 56 | 57 | 58 | class OpenAILLM(BaseLLM): 59 | """ 60 | LLM that sends queries to OpenAI's API. 61 | """ 62 | 63 | def _create_model(self): 64 | return ChatOpenAI( 65 | model_name=self.config["model_name"], 66 | openai_api_key=self.config["api_key"], 67 | max_tokens=int(self.config["max_tokens"]) 68 | ) 69 | 70 | 71 | class OLLamaLLM(BaseLLM): 72 | """ 73 | LLM that works locally on the user's machine. 74 | """ 75 | 76 | def _create_model(self): 77 | callback_manager = CallbackManager([StreamingStdOutCallbackHandler()]) 78 | llm = Ollama( 79 | model=self.config["model_name"], 80 | base_url=self.config["base_url"], 81 | callback_manager=callback_manager 82 | ) 83 | return llm 84 | 85 | def factory_llm(config): 86 | """ 87 | Factory function to create an LLM instance based on config. 88 | """ 89 | if config["model_type"] == "openai": 90 | return OpenAILLM(config) 91 | elif config["model_type"] == "ollama": 92 | return OLLamaLLM(config) 93 | else: 94 | return LocalLLM(config) 95 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/#use-with-ide 110 | .pdm.toml 111 | 112 | # PEP 582; 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