𝗦𝘁𝗼𝗽 𝗕𝗮𝗱 𝗗𝗮𝘁𝗮 𝗙𝗿𝗼𝗺 𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗔𝗣𝗜

𝗦𝘁𝗼𝗽 𝗕𝗮𝗱 𝗗𝗮𝘁𝗮 𝗙𝗿𝗼𝗺 𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗔𝗣𝗜

Bad data breaks APIs. Your user sends a word when you need a number. Your app crashes. Validation stops this.

Validation sets rules for your data.

• Numbers stay numeric.
• Age stays positive.
• Emails follow a valid format.

FastAPI uses Pydantic for this. Pydantic creates a schema. A schema is a blueprint for your data. If a request uses the wrong type, FastAPI rejects it. You get a clear error message. Your business logic stays safe.

Pydantic Field adds more control.

• Set minimum and maximum text length.
• Set number ranges for values.

Database models define storage. API schemas define input. They serve different goals.

AI APIs need strict data. Temperature and tokens must be numbers. Pydantic is your first line of defense. Only valid data reaches your LLM.

Build safer and predictable APIs. Next, we cover Authentication.

Source: https://dev.to/zeroshotanu/fastapi-for-ai-engineers-part-4-stop-bad-data-before-it-breaks-your-api-pydantic-and-data-1l35 Optional learning community: https://t.me/GyaanSetuAi