How to make function calling return array as long as I want?

[_j]

Here’s the basics documentation of functions:

https://platform.openai.com/docs/guides/function-calling

Since they don’t explicitly demonstrate how to pass the assistant function call and the function return back when using functions, I wrote that up:

Bad results when using fine-tuned model with function calling

Hey folks. I’m about to show how to properly insert your function return back to the AI - something far too useful for OpenAI to document properly. chat_completion_parameters = { "model": "gpt-3.5-turbo", "top_p": 0.5, "messages": [ {"role": "system", "content": "You are MegaBot, my fine-tune AI identity."}, # chat history goes here {"role": "user", "content": "Who won the 2024 election?"}, {"role": "assistant", "content": assistant_content_if_exist, "function_call": { "name": called_functi…

Then if you were to use tools instead of functions to make use of functions, the specification and the handling is different. I also show how to do the assistant + return response, in code:

Function Calling Help - Model Doesn't Seem To Accept Function Prompt?

I decided to make the mega-demo. Going beyond this I might as well just write a chatbot with classes for handling simulated functions and showing rewriting them to a real API… # imports and set up the OpenAI client object with a shorter timeout from openai import OpenAI import json client = OpenAI(timeout=30) # Here we'll make a tool specification, more flexible by adding one at a time toolspec=[] toolspec.extend([{ "type": "function", "function": { "name": "get_we…