Django LLM

An app for Django to aid development of large language model (LLM) workflows.

Have you ever wanted to store ChatGPT queries in your database? Now you can.

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• Wiki
• Sample Project

Information

Configure your LLM workflow from Django.

Build a business layer for your LLM application.

Install latest binary

pip install django-llm

Build and install from source

./build.sh
pip install dist/*.whl

Tests (Stabilizing)

pip install -r static.txt
./static.sh
pytest tests/

Features

Run ChatGPT queries through Django shell and model code

docker build -t django_llm .  
docker run -it django_llm 
>>> from llm.models.prompts import Prompt
>>> prompt = Prompt(template = "Give a bombastic and raucous 'Hello, {name}' to the user")
>>> prompt.save()
>>> Prompt.objects.all()
<QuerySet [<Prompt: Prompt object (1)>]>
>>> Prompt.objects.all()[0].template
"Give a bombastic and raucous 'Hello, {name}' to the user"
>>> from llm.models import ModelProviderAPI
>>> openai = ModelProviderAPI(service = 'OpenAI', api_key = '<<<YOUR OPENAI API KEY>>>')
>>> openai.save()
>>> openai.service
'OpenAI'
>>> from llm.models.queries import OpenAIChatQuery
>>> query = OpenAIChatQuery(prompt = prompt, api = openai)
>>> query.do_query(name="World")
"HELLO WORLD! WELCOME TO THE MIGHTY REALM OF TECHNOLOGY AND INNOVATION! PREPARE TO BE ASTOUNDED AND DAZZLED BY THE POWER OF CODE AND THE ENDLESS POSSIBILITIES OF THE DIGITAL AGE! LET'S ROCK AND ROLL!"
>>>

More

• Model to configure and execute ChatGPT query
• Model to hold prompt and determine prompt variables
• Model to store API keys for various services