simple-openai 4.3.0

Simple OpenAI API wrapper

simple-openai

This is a simple wrapper around the OpenAI API. It's not meant to be a full-featured library, but rather a simple way to get started with the API.

The library provides both synchronous and asynchronous methods for interacting with the API.

Installation

Install using pip:

pip install simple-openai

Usage

Calling the API

For the synchronous version, you can use the following code:

from simple_openai import SimpleOpenai

def main():
    # Initialise a storage location
    storage_location = Path("/path/to/storage")

    # Create a system message
    system_message = "You are a helpful chatbot. You are very friendly and helpful. You are a good friend to have."

    # Create the client
    client = SimpleOpenai(api_key, system_message, storage_location)

    # Create tasks for the chat response and the image response
    result = client.get_chat_response("Hello, how are you?", name="Bob", chat_id="Group 1")

    # Print the result
    if result.success:
        # Print the message
        print(f'Success: {result.message}')
    else:
        # Print the error
        print(f'Error: {result.message}')

    result = client.get_image_url("A cat")

    # Print the result
    if result.success:
        # Print the message
        print(f'Success: {result.message}')
    else:
        # Print the error
        print(f'Error: {result.message}')

if __name__ == "__main__":
    # Run the main function
    main()

For the asynchronous version, you can use the following code:

from simple_openai import AsyncSimpleOpenai
import asyncio

async def main():
    # Initialise a storage location
    storage_location = Path("/path/to/storage")

    # Create a system message
    system_message = "You are a helpful chatbot. You are very friendly and helpful. You are a good friend to have."

    # Create the client
    client = AsyncSimpleOpenai(api_key, system_message, storage_location)

    # Create tasks for the chat response and the image response
    tasks = [
        client.get_chat_response("Hello, how are you?", name="Bob", chat_id="Group 1"),
        client.get_image_url("A cat"),
    ]

    # Wait for the tasks to complete
    for task in asyncio.as_completed(tasks):
        # Get the result
        result = await task

        # Print the result
        if result.success:
            # Print the message
            print(f'Success: {result.message}')
        else:
            # Print the error
            print(f'Error: {result.message}')

if __name__ == "__main__":
    # Run the main function
    asyncio.run(main())

Output

The output of the functions is a SimpleOpenaiResponse object, which contains the following properties:

• success - A boolean indicating whether the request was successful or not.
• message - The message returned by the API.

Functions

Functions can be added to the client using the add_function method. This method takes a function name and a function as arguments. The function should take an OpenAIFunction object as its first argument, and the Python function itself as the second argument.

The Python function should return a string, which will be passed to the API using the function role

Documentation

The documentation is available on GitHub