Praison AI, leveraging both AutoGen and CrewAI or any other agent framework, represents a low-code, centralised framework designed to simplify the creation and orchestration of multi-agent systems for various LLM applications, emphasizing ease of use, customization, and human-agent interaction.

	Cookbook	Open in Colab
Basic	PraisonAI
Include Tools	PraisonAI Tools

pip install praisonai

# Install with CrewAI support
pip install "praisonai[crewai]"

# Install with AutoGen support
pip install "praisonai[autogen]"

# Install with both frameworks
pip install "praisonai[crewai,autogen]"

# Install UI support
pip install "praisonai[ui]"

# Install Chat interface
pip install "praisonai[chat]"

# Install Code interface
pip install "praisonai[code]"

# Install Realtime voice interaction
pip install "praisonai[realtime]"

# Install Call feature
pip install "praisonai[call]"

# Set your OpenAI API key
export OPENAI_API_KEY="Enter your API key"

# Initialize with CrewAI (default)
praisonai --init "create a movie script about dog in moon"

# Or initialize with AutoGen
praisonai --framework autogen --init "create a movie script about dog in moon"

# Run the agents
praisonai

# With CrewAI (default)
praisonai --auto "create a movie script about Dog in Moon"

# With AutoGen
praisonai --framework autogen --auto "create a movie script about Dog in Moon"

When installing with pip install "praisonai[crewai]", you get:

• CrewAI framework support
• PraisonAI tools integration
• Task delegation capabilities
• Sequential and parallel task execution

When installing with pip install "praisonai[autogen]", you get:

• AutoGen framework support
• PraisonAI tools integration
• Multi-agent conversation capabilities
• Code execution environment

• 🤖 Automated AI Agents Creation
• 🔄 Use CrewAI or AutoGen Framework
• 💯 100+ LLM Support
• 💻 Chat with ENTIRE Codebase
• 🖥️ Interactive UIs
• 📄 YAML-based Configuration
• 🛠️ Custom Tool Integration
• 🔍 Internet Search Capability (using Crawl4AI and Tavily)
• 👁️ Vision Language Model (VLM) Support
• 🎙️ Real-time Voice Interaction

pip install praisonai
export OPENAI_API_KEY="Enter your API key"
praisonai --init create a movie script about dog in moon
praisonai

• Installation
• Initialise
• Run
• Full Automatic Mode
• User Interface
• Praison AI Chat
• Create Custom Tools
• Agents Playbook
• Include praisonai package in your project
• Commands to Install Dev Dependencies
• Other Models
• Contributing
• Star History

pip install praisonai

export OPENAI_API_KEY="Enter your API key"

Generate your OPENAI API KEY from here: https://platform.openai.com/api-keys

Note: You can use other providers such as Ollama, Mistral ... etc. Details are provided at the bottom.

praisonai --init create a movie script about dog in moon

This will automatically create agents.yaml file in the current directory.

praisonai --framework autogen --init create movie script about cat in mars

praisonai

or

python -m praisonai

praisonai --framework autogen

praisonai --auto create a movie script about Dog in Moon

pip install -U "praisonai[ui]"
export OPENAI_API_KEY="Enter your API key"
chainlit create-secret
export CHAINLIT_AUTH_SECRET=xxxxxxxx
praisonai ui

or

python -m praisonai ui

• https://docs.praison.ai/chat/

pip install "praisonai[chat]"
export OPENAI_API_KEY="Enter your API key"
praisonai chat

Praison AI Chat and Praison AI Code now includes internet search capabilities using Crawl4AI and Tavily, allowing you to retrieve up-to-date information during your conversations.

You can now upload images and ask questions based on them using Vision Language Models. This feature enables visual understanding and analysis within your chat sessions.

pip install "praisonai[code]"
export OPENAI_API_KEY="Enter your API key"
praisonai code

Praison AI Code also includes internet search functionality, enabling you to find relevant code snippets and programming information online.

• https://docs.praison.ai/tools/custom/

framework: crewai
topic: Artificial Intelligence
roles:
  screenwriter:
    backstory: "Skilled in crafting scripts with engaging dialogue about {topic}."
    goal: Create scripts from concepts.
    role: Screenwriter
    tasks:
      scriptwriting_task:
        description: "Develop scripts with compelling characters and dialogue about {topic}."
        expected_output: "Complete script ready for production."

• https://docs.praison.ai/models/

• https://docs.praison.ai/developers/wrapper
• https://docs.praison.ai/developers/wrapper-tools/

from praisonai import PraisonAI

# Example agent_yaml content
agent_yaml = """
framework: "crewai"
topic: "Space Exploration"

roles:
  astronomer:
    role: "Space Researcher"
    goal: "Discover new insights about {topic}"
    backstory: "You are a curious and dedicated astronomer with a passion for unraveling the mysteries of the cosmos."
    tasks:
      investigate_exoplanets:
        description: "Research and compile information about exoplanets discovered in the last decade."
        expected_output: "A summarized report on exoplanet discoveries, including their size, potential habitability, and distance from Earth."
"""

# Create a PraisonAI instance with the agent_yaml content
praisonai = PraisonAI(agent_yaml=agent_yaml)

# Run PraisonAI
result = praisonai.run()

# Print the result
print(result)

Note: Please create agents.yaml file before hand.

from praisonai import PraisonAI

def basic(): # Basic Mode
    praisonai = PraisonAI(agent_file="agents.yaml")
    praisonai.run()

if __name__ == "__main__":
    basic()

1. Install all dependencies, including dev dependencies:

   poetry install

2. Install only documentation dependencies:

   poetry install --with docs

3. Install only test dependencies:

   poetry install --with test

4. Install only dev dependencies:

   poetry install --with dev

This configuration ensures that your development dependencies are correctly categorized and installed as needed.

• Fork on GitHub: Use the "Fork" button on the repository page.
• Clone your fork: git clone https://github.com/yourusername/praisonAI.git
• Create a branch: git checkout -b new-feature
• Make changes and commit: git commit -am "Add some feature"
• Push to your fork: git push origin new-feature
• Submit a pull request via GitHub's web interface.
• Await feedback from project maintainers.

Praison AI is an open-sourced software licensed under the MIT license.

Topic	Video
Introduction
Tools Overview
Custom Tools
Firecrawl Integration
User Interface
Crawl4AI Integration
Chat Interface
Code Interface
Mem0 Integration
Training
Realtime Voice Interface
Call Interface

Praison AI is an open-sourced software licensed under the MIT license.