Integration: PraisonAI
Integrate PraisonAI multi-agent workflows into your Haystack pipelines
Authors
Mervin Praison
Table of Contents
Overview
This integration provides a Haystack component for PraisonAI, enabling you to run multi-agent AI workflows within your Haystack pipelines. PraisonAI orchestrates multiple AI agents to collaboratively solve complex tasks.
Installation
pip install haystack-praisonai
Usage
Components
This integration introduces the PraisonAIComponent:
- PraisonAIComponent: Sends queries to a PraisonAI server and returns agent responses.
Basic Usage
from haystack import Pipeline
from haystack_praisonai import PraisonAIComponent
# Create the component
praisonai = PraisonAIComponent(api_url="http://localhost:8080")
# Use in a pipeline
pipeline = Pipeline()
pipeline.add_component("praisonai", praisonai)
# Run
result = pipeline.run({"praisonai": {"query": "Research the latest AI trends"}})
print(result["praisonai"]["response"])
Using a Specific Agent
from haystack_praisonai import PraisonAIComponent
component = PraisonAIComponent(api_url="http://localhost:8080")
result = component.run(query="Write an article about AI", agent="writer")
print(result["response"])
Configuration
| Parameter | Type | Default | Description |
|---|---|---|---|
api_url |
str | http://localhost:8080 |
PraisonAI server URL |
timeout |
int | 300 |
Request timeout in seconds |
Prerequisites
Start a PraisonAI server:
pip install praisonai
praisonai serve agents.yaml --port 8080
License
haystack-praisonai is distributed under the terms of the
MIT license.