Qhash Python SDK

The Qhash Python SDK provides a powerful interface for interacting with Qhash AI services. This SDK simplifies the process of making API calls, handling authentication, and managing responses from Qhash endpoints.

Installation

To install the Qhash Python SDK, use the following command:

pip install qhash-python

Quick Start

Here's how to get started with the Qhash Python SDK:

from qhash import (
    ConnectionConfig,
)
from pprint import pprint


connection_config = ConnectionConfig.default_connection_config(
    ConnectionConfig.with_sdk(
        "{your-api-key-here}"  # Replace with your actual API key
    )
)

Authentication

You can configure the Qhash SDK to authenticate using your API Key or Personal Token:

Authenticating with API Key

import os
from qhash.connections import ConnectionConfig
connection_config = ConnectionConfig.with_sdk(
    os.environ["QHASH_API_KEY"]  # API Key from environment variables
)

Authenticating with Personal Token

import os
from qhash.connections import ConnectionConfig

connection_config = ConnectionConfig.with_personal_token(
  os.environ["QHASH_AUTHORIZATION_TOKEN"],  # Authorization Token
  os.environ["QHASH_AUTH_ID"],              # Authentication ID
  os.environ["QHASH_PROJECT_ID"],           # Project ID
)

Configuration Options

The DefaultConnectionConfig accepts multiple options for configuring the SDK. Key options include:

• with_sdk(api_key: str): Sets the API key for authentication.
• with_personal_token(auth_token: str, auth_id: str, project_id: str): Configures the connection for personal tokens.
• with_endpoint_url(url: str): Overrides the default API endpoint URL.
• with_timeout(timeout: float): Sets the timeout for API requests (in seconds).

Compatibility

This SDK requires Python 3.8 or later. Ensure your system meets this requirement:

python --version

To upgrade or specify a version, use the following command:

pip install --upgrade qhash-python

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Conclusion

The Qhash Python SDK provides everything necessary to integrate seamlessly with Qhash AI services, offering flexible configuration and authentication options. With the examples provided, you should be able to get started quickly and make advanced API calls as needed.