Multi-Agent AI System in C# & OpenAI | LLM Router, Parallel Agents, Aggregator Pattern

In this video, we build a complete Multi-Agent AI Architecture using C# and OpenAI from scratch. You'll learn how modern AI applications use multiple specialized agents to solve complex tasks efficiently. What You'll Learn ✅ LLM Router Pattern ✅ Agent Classification and Task Routing ✅ Parallel Agent Execution using Task.WhenAll ✅ Aggregator Pattern for Combining Results ✅ Agent Orchestration Workflow ✅ OpenAI Integration with C# ✅ Real-World Multi-Agent Architecture ✅ Enterprise AI Design Patterns Architecture Covered User Query ↓ LLM Router ↓ Multiple Specialized Agents (Payroll Agent, HR Agent, Helpdesk Agent, etc.) ↓ Parallel Execution ↓ Aggregator Agent ↓ Final Consolidated Response Technologies Used C# .NET OpenAI API Async/Await Task.WhenAll Dependency Injection Multi-Agent Design Patterns This session is useful for: .NET Developers Solution Architects AI Engineers Tech Leads Developers building AI Copilots and Enterprise AI Applications If you enjoy the content, don't forget to Like, Share, and Subscribe for more AI + .NET tutorials. Hashtags #OpenAI #ChatGPT #MultiAgent #AIAgents #AgenticAI #DotNet #CSharp #GenerativeAI #LLM #ArtificialIntelligence #SoftwareArchitecture #TechLead #TaskWhenAll #AIAutomation #EnterpriseAI #AgentOrchestration #OpenAISDK #DotNetDeveloper #AITutorial #AIEngineering