https://github.com/mikrl/django-llm
A reusable django app for large language model workflows
https://github.com/mikrl/django-llm
Last synced: 3 months ago
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A reusable django app for large language model workflows
- Host: GitHub
- URL: https://github.com/mikrl/django-llm
- Owner: mikrl
- License: mit
- Created: 2023-03-23T21:20:56.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-30T02:25:40.000Z (about 3 years ago)
- Last Synced: 2025-09-10T16:56:27.695Z (7 months ago)
- Language: Python
- Size: 49.8 KB
- Stars: 69
- Watchers: 5
- Forks: 6
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG
- License: LICENSE.md
- Authors: AUTHORS
Awesome Lists containing this project
- stars - mikrl/django-llm - A reusable django app for large language model workflows (Python)
- awesome-django - django-llm - An app for Django to aid development of large language model (LLM) workflows. (LLMs)
README
[](https://www.python.org/downloads/release/python-3112/)
[](https://github.com/psf/black)
# 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.
Powered by [langchain](https://github.com/hwchase17/langchain)
* [Wiki](https://github.com/mikrl/django-llm/wiki)
* [Sample Project](https://github.com/mikrl/django-llm-sample)
# Information
Configure your LLM workflow from Django.
Build a business layer for your LLM application.
## Install latest binary
```bash
pip install django-llm
```
## Build and install from source
```bash
./build.sh
pip install dist/*.whl
```
# Tests (Stabilizing)
```bash
pip install -r static.txt
./static.sh
pytest tests/
```
# Features
## Run ChatGPT queries through Django shell and model code
```bash
$ 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()
]>
>>> 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 = '<<>>')
>>> 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