Flowise SDK - Python

The Flowise SDK for Python provides an easy way to interact with the Flowise API for creating predictions, supporting both streaming and non-streaming responses. This SDK allows users to create predictions with customizable options, including history, file uploads, and more.

Features

• Support for streaming and non-streaming API responses
• Ability to include message history and file uploads

Installation

You can install the SDK via pip:

pip install flowise

Upgrade version:

pip install --upgrade flowise

Example

fromflowiseimportFlowise, PredictionData, IMessage, IFileUploaddefexample_non_streaming():
# Initialize Flowise clientclient=Flowise()
# Create a prediction without streamingcompletion=client.create_prediction(
PredictionData(
chatflowId="abc",
question="What is the capital of France?",
streaming=False# Non-streaming mode
)
)
# Process and print the full responseforresponseincompletion:
print("Non-streaming response:", response)
defexample_streaming():
# Initialize Flowise clientclient=Flowise()
# Create a prediction with streaming enabledcompletion=client.create_prediction(
PredictionData(
chatflowId="abc",
question="Tell me a joke!",
streaming=True# Enable streaming
)
)
# Process and print each streamed chunkprint("Streaming response:")
forchunkincompletion:
print(chunk)
if__name__=="__main__":
# Run the non-streaming exampleexample_non_streaming()
# Run the streaming exampleexample_streaming()

Build & Publish

1. Increment version on setup.py
2. pip install wheel
3. python setup.py sdist bdist_wheel
4. twine upload --skip-existing dist/*