Así que, incluso con el código anterior que no usa Pydantic explícitamente, FastAPI está usando Pydantic para convertir esos dataclasses estándar en su propia versión de dataclasses de Pydantic.

Y por supuesto, soporta lo mismo:

* validación de datos
* serialización de datos
* documentación de datos, etc.

                {
                    "url": "https://stag.example.com",
                    "description": "Staging environment",
                },
                {
                    "url": "https://prod.example.com",
                    "description": "Production environment",
                },
            ],
            "paths": {
                "/app": {
                    "get": {

                {
                    "url": "https://stag.example.com",
                    "description": "Staging environment",
                },
                {
                    "url": "https://prod.example.com",
                    "description": "Production environment",
                },
            ],
            "paths": {
                "/app": {
                    "get": {

common:android --define=with_xla_support=false
common:ios     --define=with_xla_support=false

# BEGIN TF REMOTE BUILD EXECUTION OPTIONS
# Options when using remote execution
# WARNING: THESE OPTIONS WONT WORK IF YOU DO NOT HAVE PROPER AUTHENTICATION AND PERMISSIONS

# Allow creation of resultstore URLs for any bazel invocation
common:resultstore --google_default_credentials
common:resultstore --bes_backend=buildeventservice.googleapis.com

## 0.101.0

### Features

* ✨ Enable Pydantic's serialization mode for responses, add support for Pydantic's `computed_field`, better OpenAPI for response models, proper required attributes, better generated clients. PR [#10011](https://github.com/tiangolo/fastapi/pull/10011) by [@tiangolo](https://github.com/tiangolo).

### Refactors