Fastapi Validation

What it does

This skill provides FastAPI validation capabilities to AI agents. It allows for defining and enforcing data constraints, ensuring that incoming requests adhere to specific formats and rules. This enhances API security and reliability by preventing invalid data from being processed.

When to use it

• API Endpoint Development: When building a new API endpoint where you need to validate request bodies or query parameters.
• Data Sanitization: To automatically sanitize user input before processing, reducing the risk of injection attacks.
• Input Validation in Backend Tasks: Validating data received from external sources before performing backend operations.
• Enforcing Data Integrity: Guaranteeing that only valid and consistent data is stored or processed within your application.

Key capabilities

• Data validation using Pydantic models.
• Automatic request body parsing and validation.
• Customizable error handling for validation failures.
• Type checking and conversion of incoming data.

Example prompts

• "Validate this JSON payload against the 'User' Pydantic model."
• "Ensure that the 'email' field in the request is a valid email address."
• "Generate a FastAPI endpoint with validation for a 'Product' model containing name and price fields."

Tips & gotchas

• Requires familiarity with Pydantic models to define validation schemas.
• The AI agent needs access to the relevant Pydantic models defined in your project.