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.
Powered by langchain
Configure your LLM workflow from Django.
Build a business layer for your LLM application.
Build and install from source./build.sh pip install dist/*.whl
pip install -r static.txt ./static.sh pytest tests/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.template
"Give a bombastic and raucous 'Hello, {name}' to the user"
>>> prompt.variables
['name']
>>>
>>> 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!"
>>>
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