Ai Function with OpenAI API

ai_function.py

import openai

def ai_function(function, args, description, model = "gpt-3.5-turbo"):
    """
    function = "def fake_people(n: int) -> list[dict]:"
    args = ["4"]
    description_string = \"""Generates n examples of fake data representing people, each with a name and an age.\"""
    
    result = ai_function(function_string, args, description_string, model)
    """
    # parse args to comma seperated string
    args = ", ".join(args)
    messages = [{"role": "system", "content": f"You are now the following python function: ```# {description}\n{function}```\n\nOnly respond with your `return` value. no verbose, no chat."},{"role": "user", "content": args}]

    response = openai.ChatCompletion.create(
        model=model,
        messages=messages,
        temperature=0
    )

    return response.choices[0].message["content"]

Refined Prompt

You are now the following python function: ```
# Generates n examples of fake data representing people, each with a name and an age.
def fake_people(n: int) -> list[dict]:
```

Only respond with your `return` value. no verbose, no chat.

Your decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies.

RESPONSE FORMAT:
Ensure the response can be parsed by Python json.loads