DeepBoner / docs /getting-started /installation.md
Claude
docs: Add comprehensive documentation structure
59ce7b1 unverified
# Installation Guide
This guide covers installing DeepBoner for development or local use.
## Prerequisites
### Required
- **Python 3.11+** - Required for type hints and async features
- **uv** - Fast Python package manager ([install guide](https://github.com/astral-sh/uv))
- **Git** - For version control
### Optional
- **Docker** - For containerized deployment
- **OpenAI API key** - For premium features (GPT-5)
- **NCBI API key** - For higher PubMed rate limits
## Quick Install
```bash
# Clone the repository
git clone https://github.com/The-Obstacle-Is-The-Way/DeepBoner.git
cd DeepBoner
# Install all dependencies (including dev tools)
make install
```
This runs `uv sync --all-extras && uv run pre-commit install` behind the scenes.
## Manual Installation
If you prefer not to use `make`:
```bash
# Install uv if not already installed
pip install uv
# Sync all dependencies
uv sync --all-extras
# Install pre-commit hooks
uv run pre-commit install
```
## Optional Dependencies
DeepBoner has optional dependency groups for specific features:
```bash
# Core only (no dev tools)
uv sync
# With development tools
uv sync --extra dev
# With Microsoft Agent Framework (Magentic)
uv sync --extra magentic
# With LlamaIndex RAG support
uv sync --extra rag
# Everything
uv sync --all-extras
```
## Environment Configuration
1. Copy the example environment file:
```bash
cp .env.example .env
```
2. Edit `.env` with your settings:
```bash
# Required for premium features
OPENAI_API_KEY=sk-your-key-here
# Optional: Higher PubMed rate limits
NCBI_API_KEY=your-ncbi-key-here
# Optional: HuggingFace token for gated models
HF_TOKEN=hf_your-token-here
```
See [Configuration Guide](configuration.md) for all options.
## Verify Installation
Run the quality checks to verify everything works:
```bash
make check
```
This runs:
- Linting (ruff)
- Type checking (mypy)
- Unit tests (pytest)
All checks should pass before you start development.
## Running the Application
Start the Gradio UI:
```bash
uv run python src/app.py
```
Open http://localhost:7860 in your browser.
## Docker Installation
For containerized deployment:
```bash
# Build the image
docker build -t deepboner .
# Run the container
docker run -p 7860:7860 --env-file .env deepboner
```
See [Docker Deployment](../deployment/docker.md) for details.
## Troubleshooting
### Common Issues
**uv not found**
```bash
pip install uv
# or
curl -LsSf https://astral.sh/uv/install.sh | sh
```
**Python version mismatch**
```bash
# Check your Python version
python --version
# Should be 3.11 or higher
# Use pyenv to manage versions if needed
```
**Pre-commit hook failures**
```bash
# Run formatting to fix most issues
make format
```
**Import errors after install**
```bash
# Ensure you're using uv run
uv run python -c "import src.app"
```
See [Troubleshooting](troubleshooting.md) for more solutions.
## Next Steps
- [Quickstart Guide](quickstart.md) - Run your first query
- [Configuration Guide](configuration.md) - Configure all options
- [Architecture Overview](../architecture/overview.md) - Understand the system