Power of pydantic

example_args.py

import openai
import openai_function

@openai_function
def sum(a:int, b:int) -> int:
    """Sum description adds a + b"""
    return a + b

completion = openai.ChatCompletion.create(
        model="gpt-3.5-turbo-0613",
        temperature=0,
        functions=[sum.schema],
        messages=[
            {
                "role": "system",
                "content": "You must use the `sum` function instead of adding yourself.",
            },
            {
                "role": "user",
                "content": "What is 6+3 use the `sum` function",
            },
        ],
    )

sum.from_response(completion)

examples_args_dataclass.py

import openai
from pydantic import BaseModel, Field


class Arguments(BaseModel):
    """Arugments to add"""

    a: int = Field(..., description="First argument")
    b: int = Field(..., description="Second argument")

@openai_function
def sum(args:Arguments) -> int:
    """Sum description adds a + b"""
    return args.a + args.b

completion = openai.ChatCompletion.create(
        model="gpt-3.5-turbo-0613",
        temperature=0,
        functions=[sum.schema],
        messages=[
            {
                "role": "system",
                "content": "You must use the `sum` function instead of adding yourself.",
            },
            {
                "role": "user",
                "content": "What is 6+3+2 use the `sum` function",
            },
        ],
    )

sum.from_response(completion)

openai_function.py

from pydantic import validate_arguments
import json
from functools import wraps
from typing import Any, Callable

class openai_function:
    def __init__(self, func: Callable) -> None:
        self.func = func
        self.validate_func = validate_arguments(func)
        self.schema = {
            "name": self.func.__name__,
            "description": self.func.__doc__,
            "parameters": self.validate_func.model.schema(),
        }
        self.model = self.validate_func.model

    def __call__(self, *args: Any, **kwargs: Any) -> Any:
        @wraps(self.func)
        def wrapper(*args, **kwargs):
            return self.validate_func(*args, **kwargs)
        return wrapper(*args, **kwargs)
    
    def from_response(self, completion, throw_error=True):
        """Execute the function from the response of an openai chat completion"""
        message = completion.choices[0].message

        if throw_error:
            assert "function_call" in message, "No function call detected"
            assert message["function_call"]["name"] == self.schema["name"], "Function name does not match"

        function_call = message["function_call"]
        arguments = json.loads(function_call["arguments"])
        return self.validate_func(**arguments)