PraisonAI

v1.0.1

PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration. For more information about how to use this package see README

Latest version published 15 days ago

License: MIT

PyPI

GitHub

Package Health Score

82 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Sustainable

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Popularity

Popular

GitHub Stars: 2.29K
Forks: 315
Contributors: 9

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package PraisonAI, we found that it has been starred 2,286 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 8, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 39
Open PR: 2
Last Release: 15 days ago
Last Commit: 12 days ago

Further analysis of the maintenance status of PraisonAI based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that PraisonAI demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 9
Funding: Yes

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: <3.13,>=3.10

Age: 8 months
Latest Release: 15 days ago
Dependencies: 0 Direct
Versions: 91
Maintainers: 1
Wheels: Linux

Readme

Praison AI

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.

Different User Interfaces:

Interface	Description	URL
UI	Multi Agents such as CrewAI or AutoGen	https://docs.praison.ai/ui/ui
Chat	Chat with 100+ LLMs, single AI Agent	https://docs.praison.ai/ui/chat
Code	Chat with entire Codebase, single AI Agent	https://docs.praison.ai/ui/code
Realtime	Real-time voice interaction with AI	https://docs.praison.ai/ui/realtime

Other Features	Description	Docs
Train	Fine-tune LLMs using your custom data	https://docs.praison.ai/train

Google Colab Multi Agents

	Cookbook	Open in Colab
Basic	PraisonAI
Include Tools	PraisonAI Tools

Installation Options

Basic Installation

pip install praisonai

Framework-specific Installation

# 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]"

UI and Additional Features

# 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]"

Quick Start

# 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

Full Automatic Mode

# 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"

Framework-specific Features

CrewAI

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

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

AutoGen

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

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

Key Features

🤖 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

TL;DR Multi Agents

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

Installation Multi Agents

pip install praisonai

Initialise

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.

To initialise with a specific agent framework (Optional):

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

Run

praisonai

python -m praisonai

Specify the agent framework (Optional):

praisonai --framework autogen

Full Automatic Mode

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

User Interface

PraisonAI User Interfaces:

Interface	Description	URL
UI	Multi Agents such as CrewAI or AutoGen	https://docs.praisonai.com/ui/ui
Chat	Chat with 100+ LLMs, single AI Agent	https://docs.praisonai.com/ui/chat
Code	Chat with entire Codebase, single AI Agent	https://docs.praisonai.com/ui/code

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

python -m praisonai ui

Praison AI Chat

https://docs.praison.ai/chat/

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

Internet Search

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.

Vision Language Model Support

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.

Praison AI Code

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

Internet Search

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

Create Custom Tools

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

Agents Playbook

Simple Playbook Example

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."

Use 100+ Models

https://docs.praison.ai/models/

Include praisonai package in your project

Option 1: Using RAW YAML

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)

Option 2: Using separate agents.yaml file

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()

Commands to Install Dependencies:

Install all dependencies, including dev dependencies:
```
poetry install
```
Install only documentation dependencies:
```
poetry install --with docs
```
Install only test dependencies:
```
poetry install --with test
```
Install only dev dependencies:
```
poetry install --with dev
```

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

Contributing

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.

Star History

License

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

Video Tutorials

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

License

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

FAQs

What is PraisonAI?

PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and manag... Visit Snyk Advisor to see a full health score report for PraisonAI, including popularity, security, maintenance & community analysis.

Is PraisonAI popular?

The python package PraisonAI receives a total of 16,181 weekly downloads. As such, PraisonAI popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is PraisonAI well maintained?

We found that PraisonAI demonstrated a healthy version release cadence and project activity. It has a community of 9 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is PraisonAI safe to use?

The python package PraisonAI was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 23 November-2024, at 04:30 (UTC).

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Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

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Readme

Praison AI

Different User Interfaces:

Google Colab Multi Agents

Installation Options

Basic Installation

Framework-specific Installation

UI and Additional Features

Quick Start

Full Automatic Mode

Framework-specific Features

CrewAI

AutoGen

Key Features

TL;DR Multi Agents

Table of Contents

Installation Multi Agents

Initialise

To initialise with a specific agent framework (Optional):

Run

Specify the agent framework (Optional):

Full Automatic Mode

User Interface

PraisonAI User Interfaces:

Praison AI Chat

Internet Search

Vision Language Model Support

Praison AI Code

Internet Search

Create Custom Tools

Agents Playbook

Simple Playbook Example

Use 100+ Models

Include praisonai package in your project

Option 1: Using RAW YAML

Option 2: Using separate agents.yaml file

Commands to Install Dependencies:

Contributing

Star History

License

Video Tutorials

License

FAQs

What is PraisonAI?

Is PraisonAI popular?

Is PraisonAI well maintained?

Is PraisonAI safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues