!!! info
    Keep in mind that dataclasses can't do everything Pydantic models can do.

    So, you might still need to use Pydantic models.

    But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

## Dataclasses in `response_model`

You can also use `dataclasses` in the `response_model` parameter:

```Python hl_lines="1  7-13  19"

    * **Talks**:
        * [PyConBY 2020: Serve ML models easily with FastAPI](https://www.youtube.com/watch?v=z9K5pwb0rt8) by [Sebastián Ramírez (tiangolo)](https://twitter.com/tiangolo).
        * [[VIRTUAL] Py.Amsterdam's flying Software Circus: Intro to FastAPI](https://www.youtube.com/watch?v=PnpTY1f4k2U) by [Sebastián Ramírez (tiangolo)](https://twitter.com/tiangolo).
    * PR [#1467](https://github.com/tiangolo/fastapi/pull/1467).

@app.get("/users/", tags=["users"])
async def get_users():
    return [{"name": "Harry"}, {"name": "Ron"}]


@app.get("/items/", tags=["items"])
async def get_items():

  - author: Sebastián Ramírez (tiangolo)
    author_link: https://twitter.com/tiangolo
    link: https://www.youtube.com/watch?v=PnpTY1f4k2U
    title: '[VIRTUAL] Py.Amsterdam''s flying Software Circus: Intro to FastAPI'
  - author: Sebastián Ramírez (tiangolo)
    author_link: https://twitter.com/tiangolo
    link: https://www.youtube.com/watch?v=z9K5pwb0rt8