The Scenario

You are building a user registration bot. The LLM extracts user details from natural language.

User: "I'm 200 years old and my email is 'nope'." LLM Output:

{"name": "Unknown", "age": 200, "email": "nope"}

This JSON is syntactically valid but semantically garbage.

• Age 200 is impossible.
• Email "nope" is invalid.

The Goal

Implement a Validator Class (simulating Pydantic):

1. Define a User class with validation logic.
2. age must be between 0 and 120.
3. email must contain "@".
4. If validation fails, raise ValueError.

Requirements:

• Parse the JSON.
• Instantiate User(name, age, email).
• The __init__ method must validate the fields.
• Raise ValueError if invalid.