Streaming

Learn how Flowise streaming works

If streaming is set when making prediction, tokens will be sent as data-only server-sent events as they become available.

Using Python/TS Library

Flowise provides 2 libraries:

from flowise import Flowise, PredictionData

def test_streaming():
    client = Flowise()

    # Test streaming prediction
    completion = client.create_prediction(
        PredictionData(
            chatflowId="<chatflow-id>",
            question="Tell me a joke!",
            streaming=True
        )
    )

    # Process and print each streamed chunk
    print("Streaming response:")
    for chunk in completion:
        # {event: "token", data: "hello"}
        print(chunk)


if __name__ == "__main__":
    test_streaming()
event: token
data: Once upon a time...

A prediction's event stream consists of the following event types:

EventDescription

start

The start of streaming

token

Emitted when the prediction is streaming new token output

error

Emitted when the prediction returns an error

end

Emitted when the prediction finishes

metadata

All metadata such as chatId, messageId, of the related flow. Emitted after all tokens have finished streaming, and before end event

sourceDocuments

Emitted when the flow returns sources from vector store

usedTools

Emitted when the flow used tools

Streamlit App

https://github.com/HenryHengZJ/flowise-streamlit

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