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Getting Started

Introduction
Installation
Quick Start

Core Concepts

Agents
Tasks
Process
Tools
Memory
Knowledge

Workflows

Agentic Routing
Orchestrator Worker
Autonomous Workflow
Parallelization
Prompt Chaining
Evaluator Optimizer
Repetitive Agents

Features

CLI
AutoAgents
Image Generation
Self Reflection Agents
RAG Agents
Reasoning Extract Agents
Reasoning Agents
Multimodal Agents
LangChain Agents
Async Agents
Mini AI Agents
Generate Reasoning Data
Code Agent
Math Agent
Structured AI Agents
Stateful Agents
Callbacks Agent
Chat with PDF
Camera Integration

Models

Models in PraisonAI
OpenAI ChatGPT
Ollama
Groq
Google Gemini
OpenRouter
Anthropic
AWS Bedrock
Cohere
Mistral
DeepSeek Agents
Other Models

Tools

Firecrawl PraisonAI Integration

Other Features

PraisonAI Train
Playground
CrewAI with PraisonAI
AG2 with PraisonAI
PraisonAI Agents

Monitoring

AgentOps PraisonAI Monitoring

Developers

Test
Agents Playbook
PraisonAI Package Integration
Integrate with Tools
Google Colab Integration
Google Colab Tools
Local Development

Getting Started (No Code)

Introduction
TL;DR
Installation
Initialise
Run
Auto Generation Mode

API Reference

API Reference
Agent Module
Agents Module
AutoAgents Module
Task Module
Process Module

Developers

Test

Instructions for running and writing tests for PraisonAI components, including unit tests and test automation

Test

Copy

python -m unittest tests.test

AgentOps PraisonAI Monitoring Agents Playbook

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Test

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Resources

GitHub Documentation

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