autonomize-core 0.1.4

Autonomize Core contains the unified authentication source to access platform.

Autonomize Core

Overview

Autonomize Core houses the core functionality about authentication of our in-house platform.

Features

• Authentication: The SDK allows you to authenticate tokens for Modelhub.
• High scalability: Built to handle large-scale data retrieval and generation, enabling robust, production-ready applications.

Installation

1. Create a virtual environment, we recommend Miniconda for environment management:

   conda create -n autocore python=3.12
   conda activate autocore
   

2. Install the package:

   pip install autonomize-core
   

To install with optional dependencies like Qdrant, Huggingface, OpenAI, Modelhub, etc., refer to the Installation Guide.

Usage

Sync Usage

import os
from autonomize.core.credential import ModelhubCredential

cred = ModelhubCredential(
    auth_url=MODELHUB_AUTH_ENDPOINT,
    client_id=MODELHUB_AUTH_CLIENT_ID,
    client_secret=MODELHUB_AUTH_CLIENT_SECRET,
)

token = cred.get_token()

Async Usage

Simply use sync methods with a prefix and use await for each call. Example: cred.get_token() becomes await cred.aget_token() and everything else remains the same.

import os
from autonomize.core.credential import ModelhubCredential

cred = ModelhubCredential(
    auth_url=MODELHUB_AUTH_ENDPOINT,
    client_id=MODELHUB_AUTH_CLIENT_ID,
    client_secret=MODELHUB_AUTH_CLIENT_SECRET,
)

token = await cred.aget_token()

Contribution

To contribute in our Autonomize Core SDK, please refer to our Contribution Guidelines.

License

Copyright (C) Autonomize AI - All Rights Reserved

The contents of this repository cannot be copied and/or distributed without the explicit permission from Autonomize.ai