📝 Add docs for Stream JSON Lines

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Sebastián Ramírez
2026-02-27 13:16:09 +01:00
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# Stream JSON Lines { #stream-json-lines }
You could have a sequence of data that you would like to send in a **stream**, which means that your app will start sending the data to the client without waiting for the entire sequence to be ready.
So, it will send the first item, the client will receive and start processing it, and you might still be producing the next item.
```mermaid
sequenceDiagram
participant App
participant Client
App->>App: Produce Item 1
App->>Client: Send Item 1
App->>App: Produce Item 2
Client->>Client: Process Item 1
App->>Client: Send Item 2
App->>App: Produce Item 3
Client->>Client: Process Item 2
App->>Client: Send Item 3
Client->>Client: Process Item 3
Note over App: Keeps producing...
Note over Client: Keeps consuming...
```
It could even be an infinite stream, where you keep sending data.
## JSON Lines { #json-lines }
In these cases, it's common to send "**JSON Lines**", which is a format where you send one JSON object per line.
A response would have a content type of `application/jsonl` (instead of `application/json`) and the body would be something like:
```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."}
```
It's very similar to a JSON array (equivalent of a Python list), but instead of being wrapped in `[]` and having `,` between the items, it has one JSON object per line, they are separated by a new line.
/// info
The important point is that your app will be able to produce each line in turn, while the client consumes the previous lines.
///
/// note | Technical Details
Because each JSON object will be separated by a new line, they can't contain literal new lines in their content, but they can contain escaped new lines (`\n`), which is part of the JSON standard.
But normally you won't have to worry about it, continue reading. 🤓
///
## Use Cases { #use-cases }
You could use this to stream data from an **AI LLM** service, from **logs** or **telemetry**, or from other types of data that can be structured in **JSON** items.
/// tip
If you want to stream binary data, for example video or audio, check the advanced guide: [Stream Data](../advanced/stream-data.md).
///
## Stream JSON Lines with FastAPI { #stream-json-lines-with-fastapi }
To stream JSON Lines with FastAPI you can, instead of using `return` in your *path operation function*, use `yield` to produce each item in turn.
{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[24] *}
If each JSON item you want to send back is of type `Item` (a Pydantic model), you can declare the return type as `AsyncIterable[Item]` if it's an `async` function:
{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[9:11,22] *}
Declaring the return type, FastAPI will use it to **validate** the data, **document** it in OpenAPI, **filter** it, and **serialize** it using Pydantic.
/// tip
As Pydantic will serialize it in the **Rust** side, you will get much higher **performance** than if you don't declare a return type.
///
### Non-async *path operation functions* { #non-async-path-operation-functions }
You can also use regular `def` functions (without `async`), and use `yield` the same way.
FastAPI will make sure it's run correctly so that it doesn't block the event loop.
As in this case the function is not async, the right return type would be `Iterable[Item]`:
{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[27:30] hl[28] *}
### No Return Type { #no-return-type }
You can also omit the return type. FastAPI will then use the [`jsonable_encoder`](./encoder.md){.internal-link target=_blank} to convert the data to something that can be serialized to JSON and then send it as JSON Lines.
{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[33:36] hl[34] *}
## Server Sent Events (SSE) { #server-sent-events-sse }
A future version of FastAPI will also have first-class support for Server Sent Events (SSE), which are quite similar, but with a couple of extra details. 🤓

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@@ -154,6 +154,7 @@ nav:
- tutorial/cors.md
- tutorial/sql-databases.md
- tutorial/bigger-applications.md
- tutorial/stream-json-lines.md
- tutorial/background-tasks.md
- tutorial/metadata.md
- tutorial/static-files.md