Praison AI
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Praison AI
Overview :
Praison AI is a low code, centralized framework intended to simplify the creation and orchestration of multi-agent systems for various large language model (LLM) applications. It emphasizes usability, customizability, and human-agent interaction. Praison AI utilizes AutoGen and CrewAI or other agent frameworks, achieving complex automated tasks through predefined roles and tasks. Users can interact with agents through a command-line interface (CLI) or user interface (UI), create custom tools, and expand their functionality in various ways.
Target Users :
Praison AI is designed for developers and enterprises who need to quickly build and manage complex multi-agent systems. It is particularly suitable for teams looking to simplify the development and deployment of applications using large language models. With Praison AI, users can easily customize and expand their agent systems, achieving efficient automated task processing.
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Use Cases
Create a movie script with a theme of dogs on the moon.
Conduct a comprehensive study and prepare a detailed report on the latest AI news.
Develop a complete script with a theme of cats on Mars.
Features
Install and initialize Praison AI via command line.
Create and manage multi-agent systems using predefined agent frameworks (such as AutoGen or CrewAI).
Interact with agents via GUI, including multi-agent and single AI agent chat interfaces.
Create custom tools to expand Praison AI's functionality.
Support multiple languages models, offering flexible model selection and use.
Configure agent roles and tasks via YAML files, achieving automated task execution.
Support multiple ways of installing dependencies for developers' convenience.
How to Use
1. Install Praison AI using pip: `pip install praisonai`.
2. Initialize Praison AI and create an agent file: `praisonai --init create a movie script about dog in moon`.
3. Run Praison AI: `praisonai` or `python -m praisonai`.
4. Specify agent framework (optional): `praisonai --framework autogen`.
5. Interact with agents via GUI: `praisonai ui` or `python -m praisonai ui`.
6. Create custom tools and add them to the agent file: create a `tools.py` file and add the tool class, then add the tool in the `agents.yaml` file.
7. Run custom tools: call custom tools via command line or GUI to execute related tasks.
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