title: Deploying ML Models as API Using FastAPI and Heroku
  - link: https://jarmos.netlify.app/posts/using-github-actions-to-deploy-a-fastapi-project-to-heroku/
    title: Using GitHub Actions to Deploy a FastAPI Project to Heroku
    author_link: https://jarmos.netlify.app/
    author: Somraj Saha
  - author: "@pystar"
    author_link: https://pystar.substack.com/

* Update Netlify previews deployment GitHub action as the fix is already merged and there's a new release. PR [#1047](https://github.com/tiangolo/fastapi/pull/1047).
* Move mypy configurations to config file. PR [#987](https://github.com/tiangolo/fastapi/pull/987) by [@hukkinj1](https://github.com/hukkinj1).

# OpenAPI Webhooks

There are cases where you want to tell your API **users** that your app could call *their* app (sending a request) with some data, normally to **notify** of some type of **event**.

This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app).

This is normally called a **webhook**.

## Webhooks steps

# Handling Errors

There are many situations in which you need to notify an error to a client that is using your API.

This client could be a browser with a frontend, a code from someone else, an IoT device, etc.

You could need to tell the client that:

* The client doesn't have enough privileges for that operation.
* The client doesn't have access to that resource.
* The item the client was trying to access doesn't exist.
* etc.