Metadata-Version: 2.1
Name: aisuite
Version: 0.1.3
Summary: Uniform access layer for LLMs
Author: Andrew Ng
Requires-Python: >=3.10,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: torch (>=2.2.2,<2.3.0)
Description-Content-Type: text/markdown

# aisuite

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Simple, unified interface to multiple Generative AI providers.

`aisuite` is an tool designed for researchers who need to evaluate and compare the responses of
multiple LLMs through a standardized interface. Based on the OpenAI interface standard, `aisuite`
makes it easy to interact with the most popular LLMs and compare the results of their chat based
functionality, with support for more interfaces coming in the near future.

## Installation

```shell
pip install aisuite
```

## Set up

This library provides a thin wrapper around python client libraries to interact with
various Generative AI providers allowing creators to seamlessly swap out or test responses
from a number of LLMs without changing their code.

To get started you will need the API Keys for the providers
you intend to use and install the provider specific library to use.

The API Keys are expected to be in the host ENV and can be set manually or by using a tool such
as [`python-dotenv`](https://pypi.org/project/python-dotenv/) or [`direnv`](https://direnv.net/).

For example if you wanted to use Antrophic's Claude 3.5 Sonnet in addition to OpenAI's ChatGPT 4o
you would first need to set the API keys:

```shell
export ANTHROPIC_API_KEY="your-anthropic-api-key"
export OPENAI_API_KEY="your-openai-api-key"
```

Install the respective client libraries:

```shell
pip install openai anthropic
```

In your python code:

```python
import aisuite as ai
client = ai.Client()

models = ["openai:gpt-4o", "anthropic:claude-3-5-sonnet-20240620"]

messages = [
    {"role": "system", "content": "Respond in Pirate English."},
    {"role": "user", "content": "Tell me a joke."},
]

for model in models:
    response = client.chat.completions.create(
        model=model,
        messages=messages,
        temperature=0.75
    )
    print(response.choices[0].message.content)

```

For more examples, check out the `examples` directory where you will find several
notebooks that you can run to experiment with the interface.

The current list of supported providers can be found in the `aisuite.providers`
package.

## License

aisuite is released under the MIT License. You are free to use, modify, and distribute
the code for both commercial and non-commercial purposes.

## Contributing

If you would like to contribute, please read our [Contributing Guide](CONTRIBUTING.md)



