django-openai-assistant 0.5.4

Django OpenAI Assistant

A Django / Celery scalable OpenAI Assistant Runner.

Assumption: you have Django up and running with Celery. (Tested on Redis)

1. pip install django_openai_assistant

2. in settings.py Add 'django_openai_assistant' to your INSTALLED_APPS [] array
   make sure to have OPENAI_API_KEY defined in settings with your OpenAI key
   create and apply migrations for django_openai_assistant

3. Create a simple Assistant in https://platform.openai.com/assistants To begin you probably want one with no functions. Let's say you called it 'Test Assistant'

4. Use the assistant in your code:

demo.py

ffrom django_openai_assistant.assistant import assistantTask
from celery import shared_task

 # Define OPENAI_API_KEY in your settings.py file
 # Add 'django_openai_assistant' to your INSTALLED_APPS in settings.py
 # run python manage.py makemigrations django_openai_assistant and then python managey.pymigrate
 # create at least one Assistant in https://platform.openai.com/assistants

def testAssistant(request=None):
    # replace <<your appname>> with the name you django app this file is in!
    # replace <<your assistant name>> with the name of the assistant you created in the OpenAI platform
    task = assistantTask(assistantName="<<your assistant name>>", tools= [], completionCall = "<<your appname>>.test:afterRunFunction")
    task.prompt = "Who was Napoleon Bonaparte?"
    task.createRun() ## this will get everything going!

@shared_task(Name="This will be called once the run is complete")
def afterRunFunction(taskID):
    # Function is called when run is completed. MUST be annoted as @shared_task!!! 
    # start by retrieving the task
    task = assistantTask(run_id = taskID)
    if task.status == 'completed': ## check to make sure it is completed not failed or something else
        print(task.markdownresponse())
    else:
        print('run failed')

See https://medium.com/@jlvalorvc/building-a-scalable-openai-assistant-processor-in-django-with-celery-a61a1af722e0

Version history:

0.5.4

• added getallmessages() which returns threads.messages.list( thread_id=self.thread_id) .data 0.5.3
• Added getfullresponse() that comiles all Assistant repsonses in one message
• still waiting for the openai Python library to support vision. 0.5.2
• Updated the file upload mechanism to determine file types (retrieval yes/no and prepare for vision support (image yes/no))
• When attachments are added to a thread they will always have 'tools' enabled and retrieval will only be enabled for the supported file types https://platform.openai.com/docs/assistants/tools/file-search/supported-files

0.5.1

• Remove getopenaiclient() instead use OpenAI() everywhere
• Fix getAssistant() that could fail if retrieving an Assistant by name from an org with more than 20 Assistants.

0.5.0

• Added support for Assistants 2.0. For now all files are added to a thread with support for both search and code completion. For now no support to upload files to a vectorstore to an Assistant.

0.4.3

• Added optional parameter temperature createRun() default is 1, like the OpenAI default

0.4.2

• Added optional parameter temperature createRun() default is 1, like the OpenAI default

0.4.1

• another fix for metadata always returning {} never None

0.4.0

• redo readme.md
• standard version numbering
• task.metadata is now initiatilized as {} to prevent task.metadata.get() from failing.

0.33

• retrieve by thread_id or run_id openaiTask(run_id='run_xxxx').
• asmarkdown(string) available as a function outside class
• retrievefile() to download a file by openai file ID.
• now processing multi response with embedded image.

0.32

• small fixes.

0.31

• made sure that file uploads to openai receive a 'file name' when uploaded.

0.30

• fix to properly differentiate between two functions that start with the same name like 'company'
• and 'companyfind' and throw and exception (istead of a pass) when running in Debug mode when calling tool function.