Production-Ready Multi-Agent AI System

A comprehensive, enterprise-grade AI system with specialized agents for research, content generation, and validation. Built for production with comprehensive testing, security, and monitoring.

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Key Features

Enterprise-grade capabilities for production deployment

Multi-Agent Architecture

Specialized agents for research, content generation, and validation working in coordinated workflows.

Security & Safety

Comprehensive input validation, output filtering, and safety guardrails for production use.

Monitoring & Metrics

Real-time system health monitoring, performance metrics, and comprehensive logging.

Comprehensive Testing

Unit, integration, and end-to-end tests with 70%+ coverage for reliability.

System Architecture

Modular, scalable design for enterprise deployment

Core Components

  • Coordinator Agent: Orchestrates workflows and manages agent communication
  • Research Agent: Handles information gathering with multiple research types
  • Content Agent: Generates content with various styles and formats
  • Validation Agent: Ensures quality and safety with comprehensive validation

Technology Stack

Python 3.8+ Streamlit OpenAI API Pydantic Pytest Docker GitHub Actions
Architecture Flow
User Request
Coordinator Agent
Research
Content
Validation
Final Response

Interactive Demo

Experience the multi-agent system in action

Multi-Agent AI Assistant
Welcome! This is a demo interface. The actual system requires an OpenAI API key and runs via Streamlit.
Download & Run Locally

Documentation

Comprehensive guides and references

API Reference

Complete API documentation with examples and specifications.

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Deployment Guide

Step-by-step deployment instructions for various environments.

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Troubleshooting

Common issues, solutions, and debugging techniques.

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Source Code

Complete source code with tests and examples on GitHub.

View on GitHub