scenarios when trying to use Pydantic for nested models in Python 3.10 with FastAPI
I'm working with an scenario while using Pydantic models for nested data structures in a FastAPI application. Specifically, I have a parent model that contains a list of child models, and I'm getting a validation behavior when trying to create an instance of the parent model. The behavior message I receive is `ValueError: invalid literal for int() with base 10: 'string_value'`. Here's a simplified version of my code: ```python from pydantic import BaseModel from typing import List from fastapi import FastAPI app = FastAPI() class ChildModel(BaseModel): id: int name: str class ParentModel(BaseModel): title: str children: List[ChildModel] @app.post("/parents/") def create_parent(parent: ParentModel): return parent ``` When I try to send a POST request to `/parents/` with the following JSON payload: ```json { "title": "Parent Title", "children": [ { "id": "string_value", "name": "Child Name" } ] } ``` I expected Pydantic to throw a validation behavior for the `id` field since it should be an integer. However, it seems to cause confusion in my application, and I end up getting the `ValueError` instead. I have tried checking the payload structure and ensuring that the types match the model definitions, but I continue to face this scenario. Could someone guide to understand why this is happening and how to properly manage nested model validations in Pydantic with FastAPI? Cheers for any assistance!