In this article, Learn Microsoft AI presents a comprehensive guide to implementing concurrent orchestration of AI agents in Blazor applications using the Microsoft Semantic Kernel Agent Framework. The tutorial breaks down the process step-by-step, making it suitable for both .NET developers and AI enthusiasts interested in building intelligent multi-agent applications within Blazor. Readers will gain hands-on experience with code examples, demonstrations, and practical tips for optimizing orchestration logic in real-world scenarios.

Introduction

This article, authored by Learn Microsoft AI, offers a deep dive into integrating concurrent orchestration of AI agents in a Blazor application by leveraging the Microsoft Semantic Kernel Agent Framework. Designed for .NET developers, AI enthusiasts, and Blazor aficionados, the guide walks through the entire workflow of setting up, registering, and coordinating multiple intelligent agents to build sophisticated, responsive AI experiences.

Key Topics Covered

  • Implementation Overview: The article outlines the high-level plan for integrating the Semantic Kernel with Blazor, including sequence and structure.
  • Dependency Injection (DI): It demonstrates adding the Semantic Kernel and ChatCompletionAgents to DI containers, ensuring modular and easily manageable agent components.
  • Orchestration Service: Readers learn how to set up and inject the ConcurrentOrchestrationService, enabling the parallel coordination of multiple AI agents.
  • Agent Resolver & Transformer Handler: The guide covers building custom resolvers and handlers to manage and transform agent tasks for robust orchestration.
  • Runtime Registration & Invocation: Detailed instructions explain how to register agents with the ProcessRuntime and dynamically invoke them within the Blazor UI.
  • Page-Based Orchestration: The tutorial explores grouping agents by Blazor page, injecting orchestration logic as-needed across different parts of the application, and managing concurrency.
  • Demonstrations and Optimizations: Practical demos, including use-cases like Movies Agents and Food Agents, show the orchestration in action, along with suggestions for improving and optimizing the codebase.

Who Should Read This

This article is ideal for developers wanting to create:

  • Smart chatbots
  • Recommendation systems
  • Multi-agent “Copilot” experiences

Conclusion

Following these practical steps, readers will be able to add scalable, parallel AI agent orchestration to Blazor apps, powered by Microsoft’s Semantic Kernel. The guide balances theoretical concepts with real-world code and demonstrations, making it a valuable reference for implementing intelligent features in modern .NET projects.