This gist shows an example to use OpenAI function calling with Python. See full article here: https://medium.com/dev-bits/a-clear-guide-to-openai-function-calling-with-python-dcbc200c5d70

function_call_openai.py

import openai
import os
import json

from typing import List
from pydantic import BaseModel

# set Open AI API Key
api_key = os.getenv("OPENAI_API_KEY")
assert api_key is not None, "API Key not set in environment"

openai.api_key = api_key


# create a PyDantic schema for output
class StepByStepAIResponse(BaseModel):
    title: str
    steps: List[str]

# make a call to open ai
response = openai.ChatCompletion.create(
    model="gpt-3.5-turbo-0613",
    messages=[
       {"role": "user", "content": "Explain how to assemble a PC"}
    ],
    functions=[
        {
          "name": "get_answer_for_user_query",
          "description": "Get user answer in series of steps",
          "parameters": StepByStepAIResponse.schema()
        }
    ],
    function_call={"name": "get_answer_for_user_query"}
)

# parse JSON output from AI model
output = json.loads(response.choices[0]["message"]["function_call"]["arguments"])

# load JSON optionally into PyDantic model (or) use it directly
sbs = StepByStepAIResponse(**output)