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Modern AI Agent Chat Interface for PraisonAI

Project description

PraisonAI UI

Modern AI Agent Interface for PraisonAI

PyPI - Downloads GitHub Contributors

PraisonAI UI is a powerful, modern chat interface designed for AI agent interactions. Built for the PraisonAI multi-agent framework.

Features

  • Multi-Agent Support - Seamlessly interact with multiple AI agents
  • Tool Call Visualization - See agent tool calls and their results in real-time
  • Streaming Responses - Real-time streaming of agent responses
  • Session Management - Persistent sessions with history
  • Run Timeline - Visual timeline of agent runs and traces
  • Modern UI - Clean, responsive interface built with React

Installation

pip install praisonai-ui
praisonai run app.py

Or run directly:

praisonai run app.py -w

Quick Start

With PraisonAI Agents

from praisonaiagents import Agent
from praisonai.chat import start_chat_server

agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant."
)

# Start the chat UI with your agent
start_chat_server(agent=agent, port=8000)

Standalone Mode

praisonai chat

This starts the chat interface at http://localhost:8000.

Key Features

  • Multi Modal chats - Support for text, images, and files
  • Chain of Thought visualization - See agent reasoning steps
  • Data persistence - Save and restore chat sessions
  • Authentication - Built-in auth support
  • Tool Integration - Visualize tool calls and results

Integration with PraisonAI

PraisonAI UI integrates seamlessly with the PraisonAI agent framework:

from praisonaiagents import Agent, Task, PraisonAIAgents

# Define your agents
researcher = Agent(name="Researcher", role="Research specialist")
writer = Agent(name="Writer", role="Content writer")

# Create tasks
research_task = Task(description="Research the topic", agent=researcher)
write_task = Task(description="Write the article", agent=writer)

# Run with chat UI
agents = PraisonAIAgents(agents=[researcher, writer], tasks=[research_task, write_task])

Documentation

Full documentation is available at docs.praison.ai.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

License

This project is licensed under the Apache 2.0 license.

Based on Chainlit - An open-source async Python framework for building conversational AI applications.

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