Question 1

How do I add rate limiting to a FastAPI endpoint with SlowApi?

Accepted Answer

Use the @limiter.limit decorator on your endpoint function, ensuring the request parameter is explicitly passed, as shown in the README example. For instance, decorate async def myendpoint(request: Request) with a limit like '5/minute' to apply the restriction.

Question 2

Does SlowApi work with async endpoints?

Accepted Answer

Yes, SlowApi fully supports asynchronous endpoints, as highlighted in the features. This makes it compatible with FastAPI's async capabilities for handling concurrent requests efficiently.

Question 3

Can I use Redis as a backend for SlowApi?

Accepted Answer

Absolutely, SlowApi supports Redis, Memcached, and in-memory backends, allowing for scalable rate limiting in distributed environments. You can configure it via the limiter setup for persistent storage.

Question 4

How does SlowApi compare to Flask-Limiter?

Accepted Answer

SlowApi is adapted from Flask-Limiter but specifically designed for Starlette and FastAPI frameworks. While it shares similar features like decorator-based limits, it integrates natively with async patterns, whereas Flask-Limiter is tailored for Flask applications.

Question 5

What happens when a rate limit is exceeded in SlowApi?

Accepted Answer

By default, SlowApi returns a 429 Too Many Requests response, but you can customize error handling and responses. The library provides hooks to manage exceeded limits, such as logging or returning custom JSON messages.

Question 6

Is SlowApi production ready?

Accepted Answer

Yes, the README indicates it's used in production handling millions of requests per month, making it a reliable choice. However, note potential API changes for async updates, which are managed via semver versioning.

Question 7

Can I apply multiple rate limits to one endpoint with SlowApi?

Accepted Answer

Yes, SlowApi supports applying multiple limit decorators to a single endpoint, as mentioned in the features. This allows for complex rate limiting strategies, such as combining per-minute and per-hour limits.

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