diff --git a/.editorconfig b/.editorconfig
new file mode 100644
index 0000000..95a4d5a
--- /dev/null
+++ b/.editorconfig
@@ -0,0 +1,9 @@
+root = true
+
+[*.py]
+indent_style = space
+indent_size = 4
+end_of_line = lf
+charset = utf-8
+trim_trailing_whitespace = true
+insert_final_newline = true
diff --git a/.flake8 b/.flake8
new file mode 100644
index 0000000..8558e59
--- /dev/null
+++ b/.flake8
@@ -0,0 +1,4 @@
+[flake8]
+max-line-length = 88
+ignore = E203, W503
+exclude = .git,__pycache__,env,.venv,venv
diff --git a/.github/workflows/cd.yaml b/.github/workflows/cd.yaml
new file mode 100644
index 0000000..658c2c7
--- /dev/null
+++ b/.github/workflows/cd.yaml
@@ -0,0 +1,76 @@
+name: "CD"
+
+on:
+  workflow_dispatch:
+    inputs:
+      branch:
+        description: "Target branch for release"
+        required: true
+        default: "main"
+      release-type:
+        description: "Type of release?"
+        required: true
+        type: choice
+        options:
+          - patch
+          - minor
+          - major
+
+jobs:
+  release:
+    name: "Release"
+    if: github.event.inputs.branch == 'main'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+
+      - uses: Gr1N/setup-poetry@v8
+        with:
+          poetry-version: "1.2.2"
+
+      - name: "Bump `git_vector.__version__`"
+        run: sed -i 's/^__version__ *=.*/__version__ = "${{ steps.bump.outputs.version }}"/' git_vector/__init__.py
+
+      - name: "Update the changelog"
+        # Find the first line that starts with `###` or `## [<number>` from the CHANGELOG and insert the new version header before it.
+        run: sed -i "0,/^\(###\|## *\[[0-9]\).*/{s//## [${{ steps.bump.outputs.version }}] - $(date -u '+%Y-%m-%d')\n\n&/}" CHANGELOG.md
+
+      - name: "Extract version's changelog for release notes"
+        # 1. Find the lines between the first `## [<number>` and the second `## [<number>`.
+        # 2. Remove all leading and trailing newlines from the output.
+        run: sed '1,/^## *\[[0-9]/d;/^## *\[[0-9]/Q' CHANGELOG.md | sed -e :a -e '/./,$!d;/^\n*$/{$d;N;};/\n$/ba' > release_notes.txt
+
+      - name: "Commit and tag the changes"
+        run: |
+          git config user.name 'github-actions'
+          git config user.email '41898282+github-actions[bot]@users.noreply.github.com'
+          git add pyproject.toml git_vector/__init__.py CHANGELOG.md
+          git commit --message='Release ${{ steps.bump.outputs.version }}'
+          git tag --annotate --message='' v${{ steps.bump.outputs.version }}
+
+      - name: "Build the wheel"
+        run: poetry build
+
+      - name: "Publish to PyPI"
+        run: poetry publish
+        env:
+          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_TOKEN }}
+
+      - name: "Push the changes"
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          git config user.name "github-actions[bot]"
+          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
+          git push --follow-tags
+
+      - name: "Create a GitHub release"
+        uses: softprops/action-gh-release@1e07f4398721186383de40550babbdf2b84acfc5 # v1
+        with:
+          tag_name: v${{ steps.bump.outputs.version }}
+          name: v${{ steps.bump.outputs.version }}
+          body_path: release_notes.txt
diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
new file mode 100644
index 0000000..b57560c
--- /dev/null
+++ b/.github/workflows/ci.yaml
@@ -0,0 +1,132 @@
+name: CI
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+jobs:
+  linters:
+    name: "Linters"
+    runs-on: ubuntu-latest
+    steps:
+      - name: "Checkout code"
+        uses: actions/checkout@v3
+
+      - name: "Set up Python"
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+
+      - name: "Install Poetry"
+        uses: Gr1N/setup-poetry@v8
+
+      - name: "Load cached venv"
+        uses: actions/cache@v2
+        with:
+          path: ~/.cache/pypoetry/virtualenvs
+          key: ${{ runner.os }}-poetry-${{ hashFiles('poetry.lock') }}
+
+      - name: "Install dependencies"
+        if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
+        run: poetry install --no-root
+
+      - name: "Set VENV variable"
+        run: |
+          if [ "${{ runner.os }}" == "Windows" ]; then 
+            echo "VENV=$(poetry env info -p)\\Scripts\\activate" >> $GITHUB_ENV
+          else 
+            echo "VENV=$(poetry env info -p)/bin/activate" >> $GITHUB_ENV
+          fi
+        shell: bash
+
+      - name: "Run linters"
+        run: |
+          source "$VENV"
+          isort --check-only --diff . 
+          flake8 .
+          black --check --diff .
+
+  build:
+    name: "Build"
+    runs-on: ubuntu-latest
+    steps:
+      - name: "Checkout code"
+        uses: actions/checkout@v3
+
+      - name: "Set up Python"
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+
+      - name: "Install Poetry"
+        uses: Gr1N/setup-poetry@v8
+
+      - name: "Build the wheel"
+        run: poetry build
+
+      - name: "Install from the wheel"
+        run: pip install dist/*.whl
+
+  tests:
+    name: "Tests"
+    needs: [linters, build]
+    strategy:
+      fail-fast: true
+      matrix:
+        python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
+        os: [ubuntu-latest, macos-latest, windows-latest]
+    defaults:
+      run:
+        shell: bash
+    runs-on: ${{ matrix.os }}
+    steps:
+      - name: "Checkout code"
+        uses: actions/checkout@v3
+
+      - name: "Set up Python"
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+
+      - name: "Install Poetry"
+        uses: Gr1N/setup-poetry@v8
+
+      - name: "Load cached venv"
+        uses: actions/cache@v2
+        with:
+          path: ~/.cache/pypoetry/virtualenvs
+          key: ${{ runner.os }}-poetry-${{ hashFiles('poetry.lock') }}
+
+      - name: "Install dependencies"
+        if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
+        run: poetry install --no-root
+
+      - name: "Install the package"
+        run: poetry install
+
+      - name: "Set VENV variable"
+        run: |
+          if [ "${{ runner.os }}" == "Windows" ]; then 
+            echo "VENV=$(poetry env info -p)\\Scripts\\activate" >> $GITHUB_ENV
+          else 
+            echo "VENV=$(poetry env info -p)/bin/activate" >> $GITHUB_ENV
+          fi
+        shell: bash
+
+      - name: "Run type-checking"
+        run: |
+          source "$VENV"
+          mypy .
+
+      - name: "Run tests"
+        run: |
+          source "$VENV"
+          pytest --verbose --cov=. --cov-report=xml .
+
+      - name: "Upload coverage"
+        if: matrix.python-version == '3.11' && matrix.os == 'ubuntu-latest'
+        uses: codecov/codecov-action@f32b3a3741e1053eb607407145bc9619351dc93b # v2.1.0
+        with:
+          files: coverage.xml
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..59b6f98
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,164 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+embeddings_cache/
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 0000000..918eda8
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,25 @@
+repos:
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.5.1
+    hooks:
+      - id: mypy
+  - repo: https://github.com/psf/black
+    rev: 24.8.0
+    hooks:
+      - id: black
+  - repo: https://github.com/PyCQA/isort
+    rev: 5.13.2
+    hooks:
+      - id: isort
+  - repo: https://github.com/PyCQA/flake8
+    rev: 7.1.1
+    hooks:
+      - id: flake8
+        args: [--max-line-length=88, "--ignore=E203,W503"]
+  - repo: local
+    hooks:
+      - id: run-tests
+        name: Run Tests
+        entry: scripts/run_tests.sh
+        language: script
+        pass_filenames: false
diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 0000000..d89a78f
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,14 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+## [0.1.0] - 2024-10-27
+
+### Added
+
+- Add initial implementation.
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..be09e16
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 Markus Blomqvist
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..cea8007
--- /dev/null
+++ b/README.md
@@ -0,0 +1,72 @@
+# Git-Vector
+
+[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
+
+**Git-Vector** is a command-line tool that allows developers to interact with their Git repositories using OpenAI models. It provides a conversational interface to help you understand and navigate your codebase by leveraging the full context of your repository.
+
+## Table of Contents
+
+- [Git-Vector](#git-vector)
+  - [Table of Contents](#table-of-contents)
+  - [Features](#features)
+  - [Installation](#installation)
+  - [Usage](#usage)
+  - [Configuration](#configuration)
+  - [License](#license)
+  - [Author](#author)
+  - [Acknowledgments](#acknowledgments)
+
+## Features
+
+- **Conversational Interface**: Interactively ask questions about your codebase and receive detailed explanations.
+- **Full Repository Context**: The tool indexes your entire Git repository to provide context-aware responses.
+- **Caching Mechanism**: Embeddings are cached to improve performance on subsequent runs.
+- **Customizable Models**: Supports different OpenAI models for both embeddings and chat completions.
+- **Configurable Parameters**: Adjust maximum tokens for prompts and responses to suit your needs.
+
+## Installation
+
+```bash
+pip install git-vector
+```
+
+## Usage
+
+1. **Set Up Environment Variables**:
+
+   Export your OpenAI API key as an environment variable (or use a `.env` file):
+
+   ```
+   export OPENAI_API_KEY=your_api_key_here
+   ```
+
+2. **Run the Application**:
+
+   ```
+   git-vector --repo-dir /path/to/your/git/repository
+   ```
+
+   This will start the intera`tive CLI for the user to chat with the codebase.
+
+## Configuration
+
+- `--repo-dir`: (Required) The path to the Git repository.
+- `--embedding-model`: The OpenAI model to use for embeddings (default: `text-embedding-3-small`).
+- `--chat-model`: The OpenAI model to use for chat completions (default: `gpt-4o-mini`).
+- `--max-prompt-tokens`: Maximum number of tokens for the prompt (default: `2000`).
+- `--max-response-tokens`: Maximum number of tokens for the response (default: `500`).
+
+## License
+
+This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
+
+## Author
+
+- Markus Blomqvist - [blomqvist_markus@hotmail.com](mailto:blomqvist_markus@hotmail.com)
+
+## Acknowledgments
+
+- [OpenAI](https://openai.com) for providing the API that powers this tool.
+- [GitPython](https://gitpython.readthedocs.io/en/stable/) for interacting with Git repositories.
+- [NumPy](https://numpy.org/) and [scikit-learn](https://scikit-learn.org/) for numerical and machine learning
+  2024-09-25 00:12:15,639 [INFO] Response provided to the user.
diff --git a/git_vector/__init__.py b/git_vector/__init__.py
new file mode 100644
index 0000000..fceb681
--- /dev/null
+++ b/git_vector/__init__.py
@@ -0,0 +1,5 @@
+__version__ = "0.1.0"
+
+from .git_vector import main
+
+__all__ = ["main"]
diff --git a/git_vector/git_vector.py b/git_vector/git_vector.py
new file mode 100644
index 0000000..ec876a6
--- /dev/null
+++ b/git_vector/git_vector.py
@@ -0,0 +1,416 @@
+import hashlib
+import logging
+import mimetypes
+import os
+import pickle
+import time
+from typing import Any, Dict, List, Tuple
+
+import click
+import git
+import numpy as np
+from dotenv import load_dotenv
+from openai import OpenAI, RateLimitError
+from sklearn.metrics.pairwise import cosine_similarity  # type: ignore [import-untyped]
+from tqdm import tqdm
+
+load_dotenv()
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(message)s",
+    handlers=[logging.FileHandler("codebase_assistant.log"), logging.StreamHandler()],
+)
+
+logger = logging.getLogger(__name__)
+
+
+def get_repo_hash(repo_dir: str) -> str:
+    """Generate a unique hash for the repository directory path."""
+    repo_path_bytes = repo_dir.encode("utf-8")
+    return hashlib.md5(repo_path_bytes).hexdigest()
+
+
+def load_embeddings_cache(cache_file: str) -> Dict[str, Any]:
+    """Load the embeddings cache from a file or initialize an empty cache."""
+    if os.path.exists(cache_file):
+        with open(cache_file, "rb") as f:
+            cache = pickle.load(f)
+        logger.info("Embeddings cache loaded.")
+    else:
+        cache = {}
+        logger.info("Initialized empty embeddings cache.")
+    return cache
+
+
+def save_embeddings_cache(cache: Dict[str, Any], cache_file: str) -> None:
+    """Save the embeddings cache to a file."""
+    with open(cache_file, "wb") as f:
+        pickle.dump(cache, f)
+    logger.info("Embeddings cache saved.")
+
+
+def get_tracked_files(repo_dir: str) -> List[str]:
+    """Get a list of all tracked files in the Git repository using GitPython."""
+    try:
+        repo = git.Repo(repo_dir)
+        tracked_files = [
+            os.path.join(repo_dir, item.path)  # type: ignore [union-attr]
+            for item in repo.tree().traverse()
+        ]
+        logger.info(f"Found {len(tracked_files)} tracked files using GitPython.")
+        return tracked_files
+    except git.exc.InvalidGitRepositoryError:
+        logger.error("Invalid Git repository.")
+        click.echo("The specified directory is not a valid Git repository.")
+        return []
+    except Exception as e:
+        logger.error(f"Error accessing Git repository: {e}")
+        click.echo("An error occurred while accessing the Git repository.")
+        return []
+
+
+def is_text_file(file_path: str) -> bool:
+    """Check if a file is a text file."""
+    mime_type, _ = mimetypes.guess_type(file_path)
+    if mime_type and "text" in mime_type:
+        return True
+    else:
+        # Fallback for files without a MIME type
+        try:
+            with open(file_path, "r", encoding="utf-8") as f:
+                f.read(1024)
+            return True
+        except Exception:
+            return False
+
+
+def collect_code_files(repo_dir: str) -> List[str]:
+    """Collect all text-based code files in the repository."""
+    code_files = []
+    tracked_files = get_tracked_files(repo_dir)
+
+    if not tracked_files:
+        return []
+
+    logger.info("Filtering text files...")
+
+    for file_path in tqdm(tracked_files, desc="Filtering files"):
+        if is_text_file(file_path):
+            code_files.append(file_path)
+
+    logger.info(f"Collected {len(code_files)} text files for processing.")
+    return code_files
+
+
+def split_into_chunks(text: str, max_tokens: int = 500) -> List[str]:
+    """Split text into chunks of approximately max_tokens tokens."""
+    tokens = text.split()
+    chunks = [
+        " ".join(tokens[i : i + max_tokens]) for i in range(0, len(tokens), max_tokens)
+    ]
+    return chunks
+
+
+def generate_embeddings(
+    text_list: List[str], model_name: str, batch_size: int = 100
+) -> List[List[float]]:
+    """Generate embeddings for a list of texts using the specified model."""
+    embeddings = []
+    logger.info(f"Generating embeddings with model: {model_name}")
+
+    for i in tqdm(range(0, len(text_list), batch_size), desc="Embedding chunks"):
+        batch = text_list[i : i + batch_size]
+        max_retries = 5
+        retry_count = 0
+        while retry_count < max_retries:
+            try:
+                response = client.embeddings.create(input=batch, model=model_name)
+                batch_embeddings = [data.embedding for data in response.data]
+                embeddings.extend(batch_embeddings)
+                break  # Exit the retry loop on success
+            except RateLimitError:
+                retry_count += 1
+                wait_time = 2**retry_count  # Exponential backoff
+                logger.warning(
+                    f"Rate limit exceeded. Retrying in {wait_time} seconds..."
+                )
+                time.sleep(wait_time)
+            except Exception as e:
+                logger.error(f"Error generating embeddings: {e}")
+                break  # Exit the loop on non-rate-limit errors
+        else:
+            logger.error(f"Max retries exceeded for batch starting at index {i}")
+            raise Exception("Max retries exceeded")
+
+    return embeddings
+
+
+def chunk_and_embed_files(
+    file_paths: List[str], cache: Dict[str, Any], cache_file: str, model_name: str
+) -> Tuple[List[Dict[str, str]], List[List[float]]]:
+    """Chunk the code files and generate embeddings, using cache."""
+    code_chunks = []
+    embeddings = []
+    logger.info("Processing files and generating embeddings...")
+
+    for file_path in tqdm(file_paths, desc="Processing files"):
+        try:
+            last_modified = os.path.getmtime(file_path)
+            cache_entry = cache.get(file_path)
+
+            if cache_entry and cache_entry["last_modified"] == last_modified:
+                code_chunks.extend(cache_entry["chunks"])
+                embeddings.extend(cache_entry["embeddings"])
+                logger.debug(f"Loaded cached embeddings for {file_path}")
+            else:
+                with open(file_path, "r", encoding="utf-8", errors="ignore") as f:
+                    content = f.read()
+
+                if not content.strip():
+                    continue
+
+                chunks = split_into_chunks(content)
+                chunk_embeddings = generate_embeddings(chunks, model_name)
+
+                for chunk, embedding in zip(chunks, chunk_embeddings):
+                    code_chunks.append({"content": chunk, "file_path": file_path})
+                    embeddings.append(embedding)
+
+                cache[file_path] = {
+                    "last_modified": last_modified,
+                    "chunks": [
+                        {"content": chunk, "file_path": file_path} for chunk in chunks
+                    ],
+                    "embeddings": chunk_embeddings,
+                }
+        except Exception as e:
+            logger.warning(f"Failed to process {file_path}: {e}")
+
+    save_embeddings_cache(cache, cache_file)
+
+    if not code_chunks:
+        logger.warning("No code chunks to process.")
+
+    return code_chunks, embeddings
+
+
+def get_top_k_similar_chunks(
+    query: str,
+    code_chunks: List[Dict[str, str]],
+    embeddings: List[List[float]],
+    embedding_model: str,
+    k: int = 5,
+) -> List[Dict[str, str]]:
+    """Retrieve the top k code chunks most similar to the query."""
+    response = client.embeddings.create(input=[query], model=embedding_model)
+
+    query_embedding = response.data[0].embedding
+    similarities = cosine_similarity([query_embedding], embeddings)[0]
+    top_k_indices = similarities.argsort()[-k:][::-1]
+    top_k_chunks = [code_chunks[i] for i in top_k_indices]
+    return top_k_chunks
+
+
+def construct_prompt(
+    question: str, code_contexts: List[Dict[str, str]], max_prompt_tokens: int
+) -> str:
+    """Construct the prompt for the OpenAI API."""
+    context_texts = []
+
+    for context in code_contexts:
+        context_text = f"File: {context['file_path']}\nContent:\n{context['content']}\n"
+        context_texts.append(context_text)
+
+    context_combined = "\n".join(context_texts)
+    prompt = f"""
+You are an AI assistant helping a developer understand their codebase.
+
+Code Context:
+{context_combined}
+
+Question:
+{question}
+
+Answer:
+"""
+
+    # Handle token limits
+    prompt_tokens_estimate = len(prompt) // 4  # Approximate token count
+    if prompt_tokens_estimate > max_prompt_tokens:
+        # Truncate context to fit within token limit
+        allowed_context_tokens = (
+            max_prompt_tokens - len(question) // 4 - 100
+        )  # Reserve tokens
+        # Truncate context_combined
+        context_combined = context_combined[: allowed_context_tokens * 4]
+        prompt = f"""
+You are an AI assistant helping a developer understand their codebase.
+
+Code Context:
+{context_combined}
+
+Question:
+{question}
+
+Answer:
+"""
+    return prompt
+
+
+def interactive_cli(
+    code_chunks: List[Dict[str, str]],
+    embeddings: List[List[float]],
+    chat_model: str,
+    embedding_model: str,
+    max_prompt_tokens: int,
+    max_response_tokens: int,
+) -> None:
+    """Start the interactive CLI for the user to chat with the codebase."""
+    click.echo(
+        "Welcome to the Codebase Assistant. Type your questions below (type 'exit' to quit)."  # noqa: E501
+    )
+    while True:
+        question = click.prompt("\nYour question", type=str)
+        if question.lower() == "exit":
+            click.echo("Goodbye!")
+            break
+        logger.info(f"User question: {question}")
+        try:
+            top_chunks = get_top_k_similar_chunks(
+                query=question,
+                code_chunks=code_chunks,
+                embeddings=embeddings,
+                embedding_model=embedding_model,
+            )
+            prompt = construct_prompt(
+                question=question,
+                code_contexts=top_chunks,
+                max_prompt_tokens=max_prompt_tokens,
+            )
+            response = None
+            max_retries = 5
+            retry_count = 0
+            while retry_count < max_retries:
+                try:
+                    response = client.chat.completions.create(
+                        model=chat_model,
+                        messages=[{"role": "user", "content": prompt}],
+                        max_tokens=max_response_tokens,
+                        temperature=0.2,
+                    )
+                    break  # Exit the retry loop on success
+                except RateLimitError:
+                    retry_count += 1
+                    wait_time = 2**retry_count  # Exponential backoff
+                    logger.warning(
+                        f"Rate limit exceeded. Retrying in {wait_time} seconds..."
+                    )
+                    time.sleep(wait_time)
+                except Exception as e:
+                    logger.error(f"Error during API call: {e}")
+                    click.echo("An error occurred while processing your request.")
+                    break  # Exit the loop on non-rate-limit errors
+            if response:
+                answer = response.choices[0].message.content
+                click.echo(f"\nAssistant:\n{answer}")
+                logger.info("Response provided to the user.")
+            else:
+                logger.error("Failed to get a response from the API.")
+                click.echo("Failed to get a response from the API.")
+        except Exception as e:
+            logger.error(f"Error processing your question: {e}")
+            click.echo("An error occurred while processing your question.")
+
+
+@click.command()
+@click.option(
+    "--repo-dir", prompt="Repository path", help="The path to the Git repository."
+)
+@click.option(
+    "--embedding-model",
+    default="text-embedding-3-small",
+    show_default=True,
+    help="The OpenAI model to use for embeddings.",
+)
+@click.option(
+    "--chat-model",
+    default="gpt-4o-mini",
+    show_default=True,
+    help="The OpenAI model to use for chat completions.",
+)
+@click.option(
+    "--max-prompt-tokens",
+    default=128_000,
+    show_default=True,
+    help="Maximum number of tokens for the prompt.",
+)
+@click.option(
+    "--max-response-tokens",
+    default=16_384,
+    show_default=True,
+    help="Maximum number of tokens for the response.",
+)
+def main(
+    repo_dir: str,
+    embedding_model: str,
+    chat_model: str,
+    max_prompt_tokens: int,
+    max_response_tokens: int,
+) -> None:
+    """Main function to run the CLI tool."""
+    logger.info("Starting Codebase Assistant...")
+
+    current_file_path = os.path.abspath(__file__)
+    current_dir = os.path.dirname(current_file_path)
+    cli_dir = os.path.dirname(current_dir)
+    cache_dir = os.path.join(cli_dir, "embeddings_cache")
+    os.makedirs(cache_dir, exist_ok=True)
+
+    repo_dir = os.path.abspath(repo_dir)
+    repo_hash = get_repo_hash(repo_dir)
+
+    cache_file = os.path.join(cache_dir, f"embeddings_cache_{repo_hash}.pkl")
+    logger.info(f"Using cache file: {cache_file}")
+
+    if not os.path.isdir(repo_dir):
+        logger.error("Invalid repository path.")
+        click.echo("The specified repository path is invalid.")
+        return
+
+    cache = load_embeddings_cache(cache_file)
+    click.echo("Collecting code files...")
+    code_files = collect_code_files(repo_dir)
+
+    if not code_files:
+        logger.error("No code files found.")
+        click.echo(
+            "No code files found in the repository or failed to access the repository."
+        )
+        return
+
+    code_chunks, embeddings = chunk_and_embed_files(
+        file_paths=code_files,
+        cache=cache,
+        cache_file=cache_file,
+        model_name=embedding_model,
+    )
+    if not code_chunks or not embeddings:
+        logger.error("Failed to process code files for embeddings.")
+        click.echo("Failed to process code files.")
+        return
+
+    embeddings_array = np.array(embeddings)
+    interactive_cli(
+        code_chunks=code_chunks,
+        embeddings=embeddings_array,  # type: ignore [arg-type]
+        chat_model=chat_model,
+        embedding_model=embedding_model,
+        max_prompt_tokens=max_prompt_tokens,
+        max_response_tokens=max_response_tokens,
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..78a0f23
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1268 @@
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[[package]]
+name = "anyio"
+version = "4.6.2.post1"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
+    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
+]
+
+[package.dependencies]
+idna = ">=2.8"
+sniffio = ">=1.1"
+
+[package.extras]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
+
+[[package]]
+name = "black"
+version = "24.10.0"
+description = "The uncompromising code formatter."
+optional = false
+python-versions = ">=3.9"
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+[[package]]
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+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+]
+
+[[package]]
+name = "virtualenv"
+version = "20.27.0"
+description = "Virtual Python Environment builder"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "virtualenv-20.27.0-py3-none-any.whl", hash = "sha256:44a72c29cceb0ee08f300b314848c86e57bf8d1f13107a5e671fb9274138d655"},
+    {file = "virtualenv-20.27.0.tar.gz", hash = "sha256:2ca56a68ed615b8fe4326d11a0dca5dfbe8fd68510fb6c6349163bed3c15f2b2"},
+]
+
+[package.dependencies]
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<5"
+
+[package.extras]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.11"
+content-hash = "c0b8e94ac6f4f3d91cb4e6a21b5608f71643b14b93c64011b6e6d066e135b65f"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..c1ec17b
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,54 @@
+[tool.poetry]
+name = "git-vector"
+version = "0.1.0"
+description = "Prompt OpenAI models with git repository context"
+authors = ["Markus Blomqvist <blomqvist_markus@hotmail.com>"]
+license = "MIT"
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+openai = "^1.47.1"
+gitpython = "^3.1.43"
+numpy = "^2.1.1"
+scikit-learn = "^1.5.2"
+click = "^8.1.7"
+python-dotenv = "^1.0.1"
+tqdm = "^4.66.5"
+
+[tool.poetry.group.dev.dependencies]
+black = "^24.8.0"
+isort = "^5.13.2"
+flake8 = "^7.1.1"
+pre-commit = "^3.8.0"
+pytest = "^8.3.3"
+pytest-cov = "^5.0.0"
+pytest-mock = "^3.14.0"
+mypy = "^1.11.2"
+pandas-stubs = "^2.2.3"
+types-Pygments = "^2.18.0"
+types-tqdm = "^4.66.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.black]
+line-length = 88
+target-version = ["py39"]
+exclude = '''
+/(
+    \.git
+  | \.venv
+  | env
+  | build
+  | dist
+)/
+'''
+
+[tool.isort]
+profile = "black"
+line_length = 88
+multi_line_output = 3
+include_trailing_comma = true
+skip = [".venv", "venv", "env", "__pycache__", ".git", "build", "dist"]
diff --git a/pytest.ini b/pytest.ini
new file mode 100644
index 0000000..e16a207
--- /dev/null
+++ b/pytest.ini
@@ -0,0 +1,4 @@
+[pytest]
+minversion = 6.0
+addopts = -ra -q --cov=git_vector --cov-report=term-missing
+testpaths = tests
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..4e3de8a
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,325 @@
+annotated-types==0.7.0 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53 \
+    --hash=sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89
+anyio==4.6.0 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb \
+    --hash=sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a
+certifi==2024.8.30 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8 \
+    --hash=sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9
+click==8.1.7 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28 \
+    --hash=sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de
+colorama==0.4.6 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Windows" \
+    --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
+    --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
+distro==1.9.0 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \
+    --hash=sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2
+gitdb==4.0.11 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4 \
+    --hash=sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b
+gitpython==3.1.43 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c \
+    --hash=sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff
+h11==0.14.0 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d \
+    --hash=sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761
+httpcore==1.0.5 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61 \
+    --hash=sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5
+httpx==0.27.2 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0 \
+    --hash=sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2
+idna==3.11 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
+    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
+jiter==0.5.0 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:044f2f1148b5248ad2c8c3afb43430dccf676c5a5834d2f5089a4e6c5bbd64df \
+    --hash=sha256:04d461ad0aebf696f8da13c99bc1b3e06f66ecf6cfd56254cc402f6385231c06 \
+    --hash=sha256:0af3838cfb7e6afee3f00dc66fa24695199e20ba87df26e942820345b0afc566 \
+    --hash=sha256:1c834133e59a8521bc87ebcad773608c6fa6ab5c7a022df24a45030826cf10bc \
+    --hash=sha256:1d916ba875bcab5c5f7d927df998c4cb694d27dceddf3392e58beaf10563368a \
+    --hash=sha256:1ece0a115c05efca597c6d938f88c9357c843f8c245dbbb53361a1c01afd7148 \
+    --hash=sha256:26351cc14507bdf466b5f99aba3df3143a59da75799bf64a53a3ad3155ecded9 \
+    --hash=sha256:2a063f71c4b06225543dddadbe09d203dc0c95ba352d8b85f1221173480a71d5 \
+    --hash=sha256:2cec323a853c24fd0472517113768c92ae0be8f8c384ef4441d3632da8baa646 \
+    --hash=sha256:308fce789a2f093dca1ff91ac391f11a9f99c35369117ad5a5c6c4903e1b3e3a \
+    --hash=sha256:335942557162ad372cc367ffaf93217117401bf930483b4b3ebdb1223dbddfa7 \
+    --hash=sha256:368084d8d5c4fc40ff7c3cc513c4f73e02c85f6009217922d0823a48ee7adf61 \
+    --hash=sha256:44dfc9ddfb9b51a5626568ef4e55ada462b7328996294fe4d36de02fce42721f \
+    --hash=sha256:462a52be85b53cd9bffd94e2d788a09984274fe6cebb893d6287e1c296d50653 \
+    --hash=sha256:4829df14d656b3fb87e50ae8b48253a8851c707da9f30d45aacab2aa2ba2d614 \
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+    --hash=sha256:503b2c27d87dfff5ab717a8200fbbcf4714516c9d85558048b1fc14d2de7d8dc \
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+    --hash=sha256:6f1223f88b6d76b519cb033a4d3687ca157c272ec5d6015c322fc5b3074d8a5e \
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+    --hash=sha256:702e3520384c88b6e270c55c772d4bd6d7b150608dcc94dea87ceba1b6391248 \
+    --hash=sha256:7f5ad4a7c6b0d90776fdefa294f662e8a86871e601309643de30bf94bb93a64e \
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+    --hash=sha256:c95980207b3998f2c3b3098f357994d3fd7661121f30669ca7cb945f09510a87 \
+    --hash=sha256:cccd3af9c48ac500c95e1bcbc498020c87e1781ff0345dd371462d67b76643eb \
+    --hash=sha256:ce03f7b4129eb72f1687fa11300fbf677b02990618428934662406d2a76742a1 \
+    --hash=sha256:d4c8e1ed0ef31ad29cae5ea16b9e41529eb50a7fba70600008e9f8de6376d553 \
+    --hash=sha256:e3bbe3910c724b877846186c25fe3c802e105a2c1fc2b57d6688b9f8772026e4 \
+    --hash=sha256:e6375923c5f19888c9226582a124b77b622f8fd0018b843c45eeb19d9701c403 \
+    --hash=sha256:ea189db75f8eca08807d02ae27929e890c7d47599ce3d0a6a5d41f2419ecf338 \
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+    --hash=sha256:f16ca8f10e62f25fd81d5310e852df6649af17824146ca74647a018424ddeccf \
+    --hash=sha256:f4be354c5de82157886ca7f5925dbda369b77344b4b4adf2723079715f823989
+joblib==1.4.2 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6 \
+    --hash=sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e
+numpy==2.1.1 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:046356b19d7ad1890c751b99acad5e82dc4a02232013bd9a9a712fddf8eb60f5 \
+    --hash=sha256:0b8cc2715a84b7c3b161f9ebbd942740aaed913584cae9cdc7f8ad5ad41943d0 \
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+    --hash=sha256:24c2ad697bd8593887b019817ddd9974a7f429c14a5469d7fad413f28340a6d2 \
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+    --hash=sha256:9a8e06c7a980869ea67bbf551283bbed2856915f0a792dc32dd0f9dd2fb56728 \
+    --hash=sha256:ae8ce252404cdd4de56dcfce8b11eac3c594a9c16c231d081fb705cf23bd4d9e \
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+    --hash=sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d \
+    --hash=sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84 \
+    --hash=sha256:c0ee987efa6737242745f347835da2cc5bb9f1b42996a4d97d5c7ff7928cb6f2 \
+    --hash=sha256:d0d2821003174de06b69e58cef2316a6622b60ee613121199cb2852a873f8cf3 \
+    --hash=sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73 \
+    --hash=sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06 \
+    --hash=sha256:eb58ca0abd96911932f688528977858681a59d61a7ce908ffd355957f7025cfc \
+    --hash=sha256:edaf02b82cd7639db00dbff629995ef185c8df4c3ffa71a5562a595765a06ce1 \
+    --hash=sha256:fef8c87f8abfb884dac04e97824b61299880c43f4ce675dd2cbeadd3c9b466d2
+smmap==5.0.1 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62 \
+    --hash=sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da
+sniffio==1.3.1 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \
+    --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc
+threadpoolctl==3.5.0 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107 \
+    --hash=sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467
+tqdm==4.66.5 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd \
+    --hash=sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad
+typing-extensions==4.12.2 ; python_version >= "3.12" and python_version < "4.0" \
+    --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \
+    --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8
diff --git a/scripts/run_tests.sh b/scripts/run_tests.sh
new file mode 100755
index 0000000..6b1a2ff
--- /dev/null
+++ b/scripts/run_tests.sh
@@ -0,0 +1,2 @@
+#!/bin/bash
+poetry run pytest
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_git_vector.py b/tests/test_git_vector.py
new file mode 100644
index 0000000..e5d3c5c
--- /dev/null
+++ b/tests/test_git_vector.py
@@ -0,0 +1,6 @@
+def test_version(mocker):
+    mocker.patch.dict("os.environ", {"OPENAI_API_KEY": "dummy-api-key"})
+
+    from git_vector import __version__
+
+    assert __version__ == "0.1.0"