How would you implement a FastAPI endpoint with employee_id as a path parameter and status, limit, offset as query parameters, all validated by Pydantic?

FastAPI supports path parameters and query parameters out of the box. For the path parameter employee_id you can use Path(..., gt=0). For the query parameters, create a Pydantic model that includes status as an Enum, limit and offset with Field constraints. Example: from fastapi import FastAPI, Path, Depends; from pydantic import BaseModel, Field; from enum import Enum; app = FastAPI(); class StatusEnum(str, Enum): active='active'; completed='completed'; all='all'; class EmployeeQuery(BaseModel): status: StatusEnum = Field(default=StatusEnum.all); limit: int = Field(..., ge=1, le=100); offset: int = Field(..., ge=0); @app.get('/employees/{employee_id}') async def get_employee(employee_id: int = Path(..., gt=0), q: EmployeeQuery = Depends()): # use employee_id, q.status, q.limit, q.offset to fetch data return {'msg': 'ok'} The Path parameter ensures employee_id is a positive integer. The StatusEnum restricts status to a known set of values, preventing invalid input. The Field constraints on limit and offset enforce pagination limits. FastAPI will automatically validate and return a 422 error if any constraint is violated. This pattern keeps validation logic declarative and the endpoint function focused on business logic.