agent-expert-panel 0.5.2

A panel of experts that will solve problems and discuss topics

Agent Expert Panel - Core Package

Overview

This is the core package of the Agent Expert Panel monorepo, containing the main Python library for multi-agent AI collaboration. The framework orchestrates AI experts to solve complex problems through collaborative reasoning.

Features

• 5 Specialized AI Experts: Advocate, Critic, Pragmatist, Research Specialist, and Innovator
• GraphRAG-Enhanced Memory: Persistent knowledge across sessions with intelligent indexing
• Real-Time Web Research: Tavily-powered search with automatic synthesis
• Interactive CLI: Built with Typer for modern command-line experience
• Human Participation: Join AI experts in discussions via UserProxyAgent
• Flexible Discussion Patterns: Round-robin, structured debate, and more

Installation

From the monorepo root:

# Install core package dependencies
cd packages/core
uv sync --group dev --group test

# Or using pip
pip install -e ".[dev]"

Usage

CLI Commands

# Interactive mode
agent-panel

# Run specific discussion
agent-panel discuss "Should we adopt microservices?" --pattern round-robin --rounds 3

# Virtual expert panel with research
agent-panel virtual-solve "How to improve customer retention?" --domain business

Programmatic Usage

import asyncio
from agent_expert_panel.panel import ExpertPanel, DiscussionPattern

async def main():
    panel = ExpertPanel()
    result = await panel.discuss(
        topic="How can we improve team productivity?",
        pattern=DiscussionPattern.ROUND_ROBIN,
        max_rounds=3
    )
    print(f"Recommendation: {result.final_recommendation}")

asyncio.run(main())

Configuration

Agents are configured via YAML files in the configs/ directory. Each agent has customizable:

• Model parameters
• System messages
• API endpoints
• Timeout settings

Development

# Run tests
pytest tests

# Format code
ruff format

# Lint code
ruff check --fix

Architecture

The core package contains:

• /src/agent_expert_panel/ - Main package source
• /tests/ - Test suite with pytest
• /examples/ - Usage examples
• /docs/ - Documentation
• /configs/ - Agent configuration files

For complete documentation, see the main repository README.