Metadata-Version: 2.4
Name: aviro
Version: 0.1.1
Summary: A Python package for LLM execution tracking and flow analysis
Home-page: https://github.com/yourusername/aviro
Author: Your Name
Author-email: Your Name <your.email@example.com>
License: MIT
Project-URL: Homepage, https://github.com/yourusername/aviro
Project-URL: Repository, https://github.com/yourusername/aviro
Project-URL: Documentation, https://aviro.readthedocs.io
Project-URL: Bug Tracker, https://github.com/yourusername/aviro/issues
Keywords: python,package
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests>=2.25.0
Requires-Dist: httpx>=0.24.0
Requires-Dist: pydantic>=2.0.0
Provides-Extra: dev
Requires-Dist: pytest>=6.0; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# Aviro

A Python package for LLM execution tracking and flow analysis.

## Installation

You can install aviro using pip:

```bash
pip install aviro
```

## Usage

```python
import aviro

# Create a Tropir instance for tracking
tropir = aviro.Tropir(api_key="your-api-key", base_url="https://api.tropir.com")

# Use as a context manager to track LLM calls
with tropir.span("my_llm_workflow"):
    # Your LLM calls will be automatically tracked
    pass

# Or use the Span class directly
span = aviro.Span("my_span", api_key="your-api-key")
with span.track_calls("my_case"):
    # LLM calls tracked here
    pass
```

## Development

To set up the development environment:

```bash
# Clone the repository
git clone https://github.com/yourusername/aviro.git
cd aviro

# Install in development mode
pip install -e .

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black aviro tests

# Lint code
flake8 aviro tests
```

## Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests for your changes
5. Run the test suite
6. Submit a pull request

## License

This project is licensed under the MIT License - see the LICENSE file for details.
