@app.get("/items/stream", response_class=EventSourceResponse)
async def sse_items() -> AsyncIterable[Item]:
    for item in items:
        yield item


@app.get("/items/stream-no-async", response_class=EventSourceResponse)
def sse_items_no_async() -> Iterable[Item]:
    for item in items:
        yield item


@app.get("/items/stream-no-annotation", response_class=EventSourceResponse)
async def sse_items_no_annotation():

from collections.abc import AsyncIterable

from fastapi import FastAPI
from fastapi.sse import EventSourceResponse, ServerSentEvent
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


items = [
    Item(name="Plumbus", price=32.99),
    Item(name="Portal Gun", price=999.99),
    Item(name="Meeseeks Box", price=49.99),
]

from collections.abc import AsyncIterable
from typing import Annotated

from fastapi import FastAPI, Header
from fastapi.sse import EventSourceResponse, ServerSentEvent
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


items = [
    Item(name="Plumbus", price=32.99),
    Item(name="Portal Gun", price=999.99),
    Item(name="Meeseeks Box", price=49.99),
]

from collections.abc import AsyncIterable

from fastapi import FastAPI
from fastapi.sse import EventSourceResponse, ServerSentEvent

app = FastAPI()


@app.get("/logs/stream", response_class=EventSourceResponse)
async def stream_logs() -> AsyncIterable[ServerSentEvent]:
    logs = [
        "2025-01-01 INFO  Application started",
        "2025-01-01 DEBUG Connected to database",
        "2025-01-01 WARN  High memory usage detected",
    ]

from collections.abc import AsyncIterable

from fastapi import FastAPI
from fastapi.sse import EventSourceResponse, ServerSentEvent
from pydantic import BaseModel

app = FastAPI()


class Prompt(BaseModel):
    text: str


@app.post("/chat/stream", response_class=EventSourceResponse)
async def stream_chat(prompt: Prompt) -> AsyncIterable[ServerSentEvent]:
    words = prompt.text.split()
    for word in words:

        "event": {"type": "string"},
        "id": {"type": "string"},
        "retry": {"type": "integer", "minimum": 0},
    },
}


class EventSourceResponse(StreamingResponse):
    """Streaming response with `text/event-stream` media type.

    Use as `response_class=EventSourceResponse` on a *path operation* that uses `yield`
    to enable Server Sent Events (SSE) responses.

///

## Stream SSE with FastAPI { #stream-sse-with-fastapi }

To stream SSE with FastAPI, use `yield` in your *path operation function* and set `response_class=EventSourceResponse`.

Import `EventSourceResponse` from `fastapi.sse`:

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

Each yielded item is encoded as JSON and sent in the `data:` field of an SSE event.

///

## FastAPI로 SSE 스트리밍 { #stream-sse-with-fastapi }

FastAPI에서 SSE를 스트리밍하려면, 경로 처리 함수에서 `yield`를 사용하고 `response_class=EventSourceResponse`를 설정하세요.

`EventSourceResponse`는 `fastapi.sse`에서 임포트합니다:

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

각 `yield`된 항목은 JSON으로 인코딩되어 SSE 이벤트의 `data:` 필드로 전송됩니다.

///

## 使用 FastAPI 串流 SSE { #stream-sse-with-fastapi }

要在 FastAPI 中串流 SSE，請在你的路徑操作函式（path operation function）中使用 `yield`，並設定 `response_class=EventSourceResponse`。

從 `fastapi.sse` 匯入 `EventSourceResponse`：

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

每個 `yield` 的項目都會以 JSON 編碼並放在 SSE 事件的 `data:` 欄位中送出。

如果你想流式传输二进制数据（例如视频或音频），请查看高级指南：[流式传输数据](../advanced/stream-data.md)。

///

## 使用 FastAPI 流式传输 SSE { #stream-sse-with-fastapi }

要在 FastAPI 中流式传输 SSE，在你的*路径操作函数*中使用 `yield`，并设置 `response_class=EventSourceResponse`。

从 `fastapi.sse` 导入 `EventSourceResponse`：

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

每个被 yield 的项会被编码为 JSON，并放入 SSE 事件的 `data:` 字段发送。