/oai_examples

Simple OpenAI GPT4 examples for analysing test code and results

Primary LanguagePythonMIT LicenseMIT

Simple OpenAI GPT4 examples for analysing test code and results

Two problems frequently arise in software development and testing:

  • interpreting and communicating test results
  • Underatanding what tests are actually doing
  • Augmenting the analytical abilities of LLMs

The canned examples below show how this can be improved with ChatGPT4 and function calling.

How to use...

  1. Install the libraries

    pip install -r requirements.txt

  2. Add the API key to the .env file

    API_KEY="sk-YOUR_API_KEY
ORG_ID="org-YOUR ORG_ID"

  3. Run hermes if you want to find out what the test results mean and translate that into JSON or XML

    python hermes.py

  4. Run de_scytale.py if you want to decipher what the test code is actually doing.

    python de_scytale.py

  5. Run crib_func.py to score a scribbage hand with the help of OpenAI Functions.

    python crib_func.py

  6. Run run_genned_python.py to execute code generated by GPT4 locally via a GPT4 Function call. (This is insecure and you should take steps to run this is a safe manner, or not at all)

    python run_genned_python.py

Some of the above examples read in data from the input folder and place outputs, yes you guessed it, in the output folder.