PraisonAI: Agent-Based LLM System Documentation

AI ML Documentation Agents Tools

PraisonAI is a comprehensive solution for building and managing multi-agent Language Learning Models (LLMs) systems with self-reflection capabilities. It offers several key features including the automated creation and management of AI agents with self-reflection, seamless integration with CrewAI and AutoGen frameworks, support for over 100 Language Learning Models (LLMs), chat with your entire codebase using advanced context understanding, and rich, interactive user interfaces for better control and monitoring.

The system supports AI agents with various processes such as sequential, hierarchical, workflow, agentic routing workflow, orchestrator worker, autonomous workflow, parallelization, prompt chaining, and evaluator optimizer. It also allows for the creation of AI agents with memory capabilities, tools integration, internet search using Crawl4AI and Tavily, and YAML-based configuration for easy setup and customization.

PraisonAI supports multiple integration options including Ollama and Groq, and offers advanced logging capabilities. It can be used in various use cases such as customer service, data analysis, content creation, and process automation. The PraisonAI package includes features like self-reflection, reasoning, CrewAI framework, AutoGen framework, multimodal agents, and training capabilities.

To get started with PraisonAI, you can install it via pip, set your API key, create an app.py file, and run the script. Alternatively, you can use the no-code installation method. The PraisonAI package also offers a playground for users to experiment with.

PraisonAI - PraisonAI Documentation

PraisonAI Documentation

Home

Key Features

AI Agents Creation: Automated creation and management of AI agents with self-reflection capabilities
Framework Integration: Seamless integration with CrewAI and AutoGen 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

Code

Install Package
```
pip install praisonaiagents
```

Set API Key

export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx

Create File
```
Create app.py file
```
Run Script
```
python app.py
```

Playground

AI Agents Flow

AI Agents with Tools
AI Agents with Memory
AI Agents with Different Processes
- Sequential Process
- Hierarchical Process
- Workflow Process
Agentic Routing Workflow
Agentic Orchestrator Worker
Agentic Autonomous Workflow
Agentic Parallelization
Agentic Prompt Chaining
Agentic Evaluator Optimizer
Repetitive Agents

Integration Options

Ollama Integration
Groq Integration

Logging Configuration

Basic logging export LOGLEVEL=info
Advanced logging export LOGLEVEL=debug

Use Cases

Customer Service
Data Analysis
Content Creation
Process Automation

Praison AI Package Overall Features

Self-Reflection
Reasoning
CrewAI Framework
AutoGen Framework
Multimodal Agents
Train
User Interfaces
- Multi Agents UI
- Chat Interface
- Code Interface
Video Tutorials

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