agentic-fleet 0.4.50

A powerful multi-agent system for adaptive AI reasoning and automation

AgenticFleet

A powerful multi-agent system for adaptive AI reasoning and automation. AgenticFleet combines Chainlit's interactive interface with AutoGen's multi-agent capabilities to create a flexible, powerful AI assistant platform.

Key Features

• Multi-Agent System: Coordinated team of specialized AI agents

  • Code generation and analysis
  • Web content processing
  • File system operations

• Interactive Interface

  • Real-time communication via Chainlit
  • Code syntax highlighting
  • Markdown rendering
  • File upload/download support

• Advanced Capabilities

  • OAuth authentication integration
  • Configurable agent behaviors
  • Comprehensive error handling
  • Progress tracking

• Developer-Friendly

  • Easy-to-use CLI
  • Extensive documentation
  • Flexible configuration
  • Active community support

Quick Start

1. Install AgenticFleet using uv (recommended):

uv pip install agentic-fleet

2. Copy and configure environment variables:

# Copy the example environment file
cp .env.example .env

# Open .env and update with your values
# Required: Add your Azure OpenAI credentials
# Recommended: Configure OAuth settings

3. Start the server:

agenticfleet start

The web interface will be available at http://localhost:8001.

Documentation

• Installation Guide - Detailed setup instructions
• Usage Guide - How to use AgenticFleet
• API Reference - Complete API documentation
• Architecture Overview - System architecture and design

Configuration

The .env.example file contains all required and recommended settings. Copy it to .env and update with your values:

# Required: Azure OpenAI Configuration
AZURE_OPENAI_API_KEY=your_api_key
AZURE_OPENAI_ENDPOINT=your_endpoint
AZURE_OPENAI_DEPLOYMENT=your_deployment
AZURE_OPENAI_MODEL=your_model

## Recommended: OAuth Configuration
OAUTH_CLIENT_ID=your_client_id
OAUTH_CLIENT_SECRET=your_client_secret
OAUTH_REDIRECT_URI=http://localhost:8001/oauth/callback

Development

Prerequisites

• Python 3.10-3.12 (Python 3.13 is not yet supported)
• uv package manager (recommended)
• Azure OpenAI API access

Setup

1. Clone and install:

git clone https://github.com/qredence/agenticfleet.git
cd agenticfleet
pip install uv
uv pip install -e ".[dev]"

2. Run tests:

pytest tests/

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Security

For security concerns, please review our Security Policy.

License

This project is licensed under the Apache-2.0 License - see the LICENSE file for details.

Support

• Issue Tracker
• Discussions
• Email: [e-mail]