Eine Response hätte einen Content-Type von `application/jsonl` (anstelle von `application/json`) und der Body sähe etwa so aus:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

	for tier, st := range dui.TierStats.Tiers {
		metrics = append(metrics, MetricV2{
			Description:    getClusterTransitionedBytesMD(),
			Value:          float64(st.TotalSize),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{
			Description:    getClusterTransitionedObjectsMD(),
			Value:          float64(st.NumObjects),

    /** Creation timestamp of the configuration */
    public String createdTime;

    /** Version number of the configuration */
    public String versionNo;

    /** Description of the configuration */
    public String description;

    /**
     * Clears all pagination and configuration data, resetting to default values.
     */
    public void clear() {
        allRecordCount = 0;

Une réponse aurait un type de contenu `application/jsonl` (au lieu de `application/json`) et le corps ressemblerait à ceci :

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

Podrías enviar un request como:

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | Consejo

`aGVsbG8=` es la codificación base64 de `hello`.

///

Y luego Pydantic decodificará el string base64 y te dará los bytes originales en el campo `data` del modelo.

Recibirás una response como:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {

from typing import Annotated

from fastapi import FastAPI, Path
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str | None = None,
    item: Item | None = None,

---
- job:
    name: "elastic+elasticsearch+pull-request+precommit"
    display-name: "elastic / elasticsearch - pull request precommit"
    description: "Testing of Elasticsearch pull requests - precommit"
    workspace: "/dev/shm/elastic+elasticsearch+pull-request+precommit"
    scm:
      - git:
          refspec: "+refs/pull/${ghprbPullId}/*:refs/remotes/origin/pr/${ghprbPullId}/*"
          branches:
            - "${ghprbActualCommit}"
    triggers:

class SanityCheck(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Sanity Check"
        description = "Static code analysis, checkstyle, release notes verification, etc."

        features {
            publishBuildStatusToGithub(model)
        }

        applyDefaults(
            model,
            this,

# see https://s.apache.org/asfyaml
github:
  description: "Apache Maven core"
  homepage: https://maven.apache.org/ref/current
  labels:
    - java
    - build-management
    - apache-maven
    - maven
    - hacktoberfest
  enabled_merge_buttons:
    squash: true
    merge: false
    rebase: true
  autolink_jira:
    - MNG
  pull_requests:
    del_branch_on_merge: true
  protected_branches:
    master: {}