Praison AI - PraisonAI Documentation

Key Features
Installation Options
Integration Options
Use Cases
Praison AI Package Overall Features
Features
User Interfaces

Welcome to PraisonAI - Your comprehensive solution for building and managing multi-agent LLM systems with self-reflection capabilities.

PraisonAI combines PraisonAI Agents, AG2 (Formerly AutoGen), and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration.

Key Features

AI Agents Creation

Automated creation and management of AI agents with self-reflection capabilities

Framework Integration

Seamless integration with CrewAI and AG2 frameworks

LLM Support

Support for 100+ Language Learning Models

Code Integration

Chat with your entire codebase using advanced context understanding

Interactive UI

Rich, interactive user interfaces for better control and monitoring

Configuration

YAML-based configuration for easy setup and customization

Tool Integration

Custom tool integration for extended functionality

Search Capability

Internet search using Crawl4AI and Tavily

Installation Options

No Code
Code

Install Package

pip install praisonai

Set API Key

export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx

Auto Mode

praisonai --auto create a movie script about Robots in Mars

This will automatically create required agents and complete the task

Install Package

pip install praisonaiagents

Set API Key

export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx

Create File

Create app.py file

Code Example

from praisonaiagents import Agent, Task, PraisonAIAgents

# Create an agent
researcher = Agent(
    name="Researcher",
    role="Senior Research Analyst",
    goal="Uncover cutting-edge developments in AI",
    backstory="You are an expert at a technology research group",
    verbose=True,
    llm="gpt-4o"
)

# Define a task
task = Task(
    name="research_task",
    description="Analyze 2024's AI advancements",
    expected_output="A detailed report",
    agent=researcher
)

# Run the agents
agents = PraisonAIAgents(
    agents=[researcher],
    tasks=[task],
    verbose=False
)

result = agents.start()

Run Script

python app.py

Integration Options

Ollama Integration

export OPENAI_BASE_URL=http://localhost:11434/v1

Groq Integration

export OPENAI_API_KEY=xxxxxxxxxxx
export OPENAI_BASE_URL=https://api.groq.com/openai/v1

Logging Configuration

# Basic logging
export LOGLEVEL=info

# Advanced logging
export LOGLEVEL=debug

Use Cases

Customer Service

Build intelligent support agents that can handle customer inquiries and resolve issues autonomously.

Data Analysis

Create agents that can process, analyze, and derive insights from complex datasets.

Content Creation

Deploy agents that can generate, edit, and optimize content across various formats.

Process Automation

Automate complex workflows with intelligent agents that can coordinate and execute tasks.

Praison AI Package Overall Features

PraisonAI Features Overview

Features

Self-Reflection

Agents that evaluate and improve their own responses for higher accuracy

Reasoning

Multi-step logical reasoning and autonomous problem solving

CrewAI Framework

Build collaborative AI teams with CrewAI integration

AG2 Framework

Create autonomous agent networks using AG2 (Formerly AutoGen)

Multimodal Agents

Work with agents that can process text, images, and other data types

Train

Train and fine-tune your LLMs for specific tasks and domains. Then use it as an AI Agent.

User Interfaces

Multi Agents UI

Work with CrewAI or AG2 multi-agent systems

Chat Interface

Chat with 100+ LLMs using a single AI Agent

Code Interface

Interact with your entire codebase

PraisonAI Call Features Overview

⌘I

Getting Started

Learn

SDK Reference

API Reference

Guides

Features

Persistence

Databases

Models

Observability

Tools

Other Features

Developers

Configuration

Best Practices

Getting Started (No Code)

​Key Features

AI Agents Creation

Framework Integration

LLM Support

Code Integration

Interactive UI

Configuration

Tool Integration

Search Capability

​Installation Options

​Code Example

​Integration Options

​Use Cases

Customer Service

Data Analysis

Content Creation

Process Automation

​Praison AI Package Overall Features

​Features

Self-Reflection

Reasoning

CrewAI Framework

AG2 Framework

Multimodal Agents

Train

​User Interfaces

Multi Agents UI

Chat Interface

Code Interface

Key Features

Installation Options

Code Example

Integration Options

Use Cases

Praison AI Package Overall Features

Features

User Interfaces