if (Constants.NONE.equals(llmType)) {
            if (logger.isTraceEnabled()) {
                logger.trace("[LLM] LLM not available. llmType=none");
            }
            return false;
        }
        if (!isRagChatEnabled()) {
            if (logger.isTraceEnabled()) {
                logger.trace("[LLM] LLM not available. ragChatEnabled=false");
            }
            return false;
        }

  integrity sha512-GryiOJmNcWbovBxTfZSF71V/mXbgcV3MewDe3kIMCLyIh5e7SKAeUZs+rMnJ8jkMolZ/4/VsdBmMrw3l+VdZ3w==

"@jridgewell/trace-mapping@^0.3.17":
  version "0.3.18"
  resolved "https://registry.yarnpkg.com/@jridgewell/trace-mapping/-/trace-mapping-0.3.18.tgz#25783b2086daf6ff1dcb53c9249ae480e4dd4cd6"
  integrity sha512-w+niJYzMHdd7USdiH2U6869nqhD2nbfZXND5Yp93qIbEmnDNk7PD48o+YchRVpzMU7M6jVCbenTR7PA1FLQ9pA==

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(

        assertTrue(exception instanceof Throwable);
    }

    @Test
    public void test_stackTrace() {
        // Test that stack trace is generated properly
        LdapConfigurationException exception = new LdapConfigurationException("Stack trace test");

        StackTraceElement[] stackTrace = exception.getStackTrace();
        assertNotNull(stackTrace);
        assertTrue(stackTrace.length > 0);

Jedes Event ist ein kleiner Textblock mit „Feldern“ wie `data`, `event`, `id` und `retry`, getrennt durch Leerzeilen.

Das sieht so aus:

```
data: {"name": "Portal Gun", "price": 999.99}

data: {"name": "Plumbus", "price": 32.99}

```

SSE wird häufig für KI-Chat-Streaming, Live-Benachrichtigungen, Logs und Observability sowie andere Fälle verwendet, in denen der Server Updates an den Client pusht.

/// tip | Tipp

Cada evento é um pequeno bloco de texto com “campos” como `data`, `event`, `id` e `retry`, separados por linhas em branco.

Fica assim:

```
data: {"name": "Portal Gun", "price": 999.99}

data: {"name": "Plumbus", "price": 32.99}

```

SSE é comumente usado para streaming de chat de IA, notificações em tempo real, logs e observabilidade, e outros casos em que o servidor envia atualizações para o cliente.

        assertEquals(middleCause, exception.getCause());
        assertEquals(rootCause, exception.getCause().getCause());
    }

    @Test
    public void test_stackTrace() {
        // Test that stack trace is properly set
        DataStoreException exception = new DataStoreException("Test error");
        StackTraceElement[] stackTrace = exception.getStackTrace();

        assertNotNull(stackTrace);

    @Test
    @DisplayName("Should preserve stack trace")
    void testStackTracePreservation() {
        // When
        RuntimeCIFSException exception = new RuntimeCIFSException("Test exception");

        // Then
        assertNotNull(exception.getStackTrace());
        assertTrue(exception.getStackTrace().length > 0);

        // Should contain this test method in stack trace
        boolean foundTestMethod = false;

from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    image: Image | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

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: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: str | None = None,
    item: Item | None = None,
):