closedai 0.0.3

ClosedAI is a drop-in replacement for OpenAI.

Closed AI

⚠️ This project is in early development is a work in progress. ⚠️

closedai is a drop-in replacement for openai, but only with open models.

Installation

For now, install locally, as this project is a WIP and PyPi may be out of date.

git clone https://github.com/nateraw/closedai.git
cd closedai
pip install -e .

Usage

The idea is that you will run your own OpenAI-like server with whatever model you want. Once the server is running, you can hit it with openai python library (or any other SDK of your choosing) by overriding the api base endpoint with the URL to your running server.

Server

In your terminal, run:

closedai

You can see the available configuration flags with closedai --help.

Docker

docker build -t closedai .
docker run -p 7860:7860

Client

If using localhost, you can from closedai import openai. If running remotely, for now you can just import openai and override openai.api_base with your endpoint and openai.api_key with a dummy value.

Then, use it as you normally would...

Completions

from closedai import openai

completion = openai.Completion.create(model='asdf', prompt='hi there, my name is', stream=False)
print(completion)

Completions streaming

from closedai import openai

completion = openai.Completion.create(model='asdf', prompt='hi there, my name is', stream=True)
for new_text in completion:
    print(new_text)

Chat Completions

from closedai import openai

completion = openai.ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"},
        {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
        {"role": "user", "content": "Where was it played?"},
    ],
    stream=False,
)
print(completion)

Chat Completions streaming

from closedai import openai

completion = openai.ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"},
        {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
        {"role": "user", "content": "Where was it played?"},
    ],
    stream=True,
)

for x in completion:
    print(x)