Metadata-Version: 2.2
Name: autobyteus_llm_client
Version: 1.0.3
Summary: Async Python client for Autobyteus LLM API
Home-page: https://github.com/AutoByteus/autobyteus_llm_client.git
Author: Ryan Zheng
Author-email: ryan.zheng.work@gmail.com
Keywords: llm client async
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: httpx
Provides-Extra: test
Requires-Dist: pytest-asyncio; extra == "test"
Requires-Dist: python-dotenv; extra == "test"
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Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
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# Autobyteus LLM Client

Async Python client for Autobyteus LLM API.

## Installation

```bash
pip install autobyteus_llm_client
```

## Building and Publishing the Package

### Prerequisites

1. Create a PyPI account at https://pypi.org/account/register/
2. Install build and twine:
```bash
pip install build twine
```

### Building the Package

To build the package, run:
```bash
python -m build
```

This will create two files in the `dist` directory:
- A source archive (.tar.gz)
- A wheel (.whl)

### Publishing to PyPI

#### Test PyPI (Recommended for Testing)

1. Register an account at https://test.pypi.org/
2. Upload to Test PyPI:
```bash
python -m twine upload --repository testpypi dist/*
```
3. Install from Test PyPI:
```bash
pip install --index-url https://test.pypi.org/simple/ autobyteus_llm_client
```

#### Production PyPI

When ready to publish to production:
```bash
python -m twine upload dist/*
```

Note: You'll need to provide your PyPI username and password when uploading.

## Development

### Requirements
- Python 3.8 or higher
- httpx

### Installing Development Dependencies
```bash
pip install -e ".[test]"
```

## License

This project is licensed under the MIT License.
