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SDK for building AI Enabled apps.

Project description

Klu.AI Python SDK

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Description

SDK for building AI Enabled apps

The Klu.AI Python SDK is a library that provides access to the Klu.AI API, allowing users to interact with their workspace, applications, actions, data, models, and data indices.

Requirements

The Klu.AI Python SDK requires Python version 3.7 or later.

Installation

To install the Klu.AI Python SDK, simply run:

pip install klu

Getting Started

To use the Klu.AI Python SDK, you must first obtain an API key from the Klu.AI website. Once you have your API key, you can create a KluClient object:

from klu.client.klu import KluClient

api_key = "YOUR_API_KEY"
client = KluClient(api_key)

Once you have a KluClient object, you can access the different models available in the Klu API:

from klu.client.klu import KluClient

api_key = "YOUR_API_KEY"
client = KluClient(api_key)

models = client.models.get_models()
data = client.data.get_action_data("action_guid")
application = client.applications.get("application_guid")
action = client.actions.run_action_prompt("action_id", "prompt")
workspace = client.workspace.get_workspace_apps("workspace_guid")
data_index = client.data_index.process_data_index("data_index_id", "splitter")

Each of these objects provides methods for interacting with the corresponding model in the Klu API. For example, to list all applications in your workspace, you can use:

from klu.client.klu import KluClient

api_key = "YOUR_API_KEY"
client = KluClient(api_key)
applications = client.applications.list()

In a similar manner, in order to get a list of data points for an action, you can do the following

from klu.client.klu import KluClient

api_key = "YOUR_API_KEY"
client = KluClient(api_key)
data = client.data.get_action_data("action_id")

Development

For more detailed developer information, please refer to the Developer's README.

Documentation

For more detailed information on how to use the Klu.AI Python SDK, please refer to the API documentation.

Credits

This package was created with Cookiecutter and the waynerv/cookiecutter-pypackage project template.

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