Praison AI -Praison Labs Documentation

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

Install

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

agent = Agent(instructions="Your are a helpful AI assistant")
agent.start("Write a movie script about a robot in Mars")

Run Script

python app.py

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

agent = Agent(instructions="Your are a helpful AI assistant")
agent.start("Write a movie script about a robot in Mars")

Run Script

python app.py

Install Package

Install the No CodePraison Labs Package:

pip install praisonaiagents

Set API Key

export OPENAI_API_KEY=your_openai_key

Create Config

Create agents.yaml:

roles:
  summarise_agent:
    instructions: Summarise Photosynthesis

You can automatically create agents.yaml using:

praisonai --init "your task description"

Run Agents

Execute your config:

praisonai agents.yaml

Install Package

npm install praisonai

Set API Key

export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx

Create File

Create app.js file

Code Example

const { Agent } = require('praisonai');
const agent = new Agent({ instructions: 'You are a helpful AI assistant' });
agent.start('Write a movie script about a robot in Mars');

Run Script

node app.js

Install Package

npm install praisonai

Set API Key

export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx

Create File

Create app.ts file

Code Example

import { Agent } from 'praisonai';

const agent = new Agent({ 
  instructions: `You are a creative writer who writes short stories with emojis.`,
  name: "StoryWriter"
});

agent.start("Write a story about a time traveler")

Run Script

npx ts-node app.ts

Playground

AI Agents Flow

AI Agents with Tools

Create AI agents that can use tools to interact with external systems and perform actions.

AI Agents with Memory

Create AI agents with memory capabilities for maintaining context and information across tasks.

AI Agents with Different Processes

Sequential Process

The simplest form of task execution where tasks are performed one after another.

Hierarchical Process

Uses a manager agent to coordinate task execution and agent assignments.

Workflow Process

Advanced process type supporting complex task relationships and conditional execution.

Agentic Routing Workflow

Create AI agents that can dynamically route tasks to specialized LLM instances.

Agentic Orchestrator Worker

Create AI agents that orchestrate and distribute tasks among specialized workers.

Agentic Autonomous Workflow

Create AI agents that can autonomously monitor, act, and adapt based on environment feedback.

Agentic Parallelization

Create AI agents that can execute tasks in parallel for improved performance.

Agentic Prompt Chaining

Create AI agents with sequential prompt chaining for complex workflows.

Agentic Evaluator Optimizer

Create AI agents that can generate and optimize solutions through iterative feedback.

Repetitive Agents

Create AI agents that can efficiently handle repetitive tasks through automated loops.

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.

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

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

Video Tutorials

Topic	Video
AI Agents with Self Reflection
Reasoning Data Generating Agent
AI Agents with Reasoning
Multimodal AI Agents
AI Agents Workflow
Async AI Agents
Mini AI Agents
AI Agents with Memory
Repetitive Agents
Introduction
Tools Overview
Custom Tools
Firecrawl Integration
User Interface
Crawl4AI Integration
Chat Interface
Code Interface
Mem0 Integration
Training
Realtime Voice Interface
Call Interface
Reasoning Extract Agents