The core-runtime module defines each runtime:

- The target JVM for the runtime. Each runtime has its own JVM compatibility constraints.
- Some base services that are available to code hosted by the runtime. This varies by runtime.
- Additional constraints. For example, the CLI client runtimes limit the libraries that are available to the code in that runtime, for performance reasons. 

## Requisitos

FastAPI está nos ombros de gigantes:

* <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> para as partes web.
* <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> para a parte de dados.

## Instalação

<div class="termy">

```console
$ pip install fastapi

for all files with the `.keras` extension. This file format targets the Python runtime only and makes it possible to reload Python objects identical to the saved originals. The format supports non-numerical state such as vocabulary files and lookup tables, and it is easy to customize in the case of custom layers with exotic elements of state (e.g. a FIFOQueue). The format does not rely on bytecode or pickling, and is safe by default. Note that as a result, Python `lambdas` are disallowed at loading...

## Requisitos

FastAPI está sobre los hombros de gigantes:

* <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> para las partes web.
* <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> para las partes de datos.

## Instalación

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

## Request, System and Cluster Metrics

At a high level metrics are grouped into three categories, listed in the following sub-sections. The path in each of the tables is relative to the top-level endpoint.

### Request metrics 

These are metrics about requests served by the (current) node.

| Path            | Description                                      |

    * Prüfen, ob er ein optionales Attribut `is_offer` hat, das ein `bool` sein muss, falls vorhanden.
    * All dies würde auch für tief verschachtelte JSON-Objekte funktionieren.
* Automatisch von und nach JSON konvertieren.
* Alles mit OpenAPI dokumentieren, welches verwendet werden kann von:
    * Interaktiven Dokumentationssystemen.
    * Automatisch Client-Code generierenden Systemen für viele Sprachen.