import json from functools import wraps from typing import Any, Callable from pydantic import validate_arguments, BaseModel class openai_function: def __init__(self, func: Callable) -> None: self.func = func self.validate_func = validate_arguments(func) self.openai_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.openai_schema["name"] ), "Function name does not match" function_call = message["function_call"] arguments = json.loads(function_call["arguments"]) return self.validate_func(**arguments) class OpenAISchema(BaseModel): @classmethod @property def openai_schema(cls): schema = cls.schema() return { "name": schema["title"], "description": schema["description"], "parameters": schema, } @classmethod def from_response(cls, completion, throw_error=True): message = completion.choices[0].message if throw_error: assert "function_call" in message, "No function call detected" assert ( message["function_call"]["name"] == cls.openai_schema["name"] ), "Function name does not match" function_call = message["function_call"] arguments = json.loads(function_call["arguments"]) return cls(**arguments)