Tutorials ASP.NET Core with Agentic AI Tutorial

Agent Communication — Complete Guide

Agent Communication — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ASP.NET Core with Agentic AI Tutorial on Toolliyo Academy.

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ASP.NET Core with Agentic AI Tutorial · Lesson 35 of 100

Agent Communication

AI basicsAgents

AI basics · 1 — Setup · ~6 min · Module 4: AI Agents and Multi-Agent Systems

What is this?

Agent communication is how agents exchange messages — shared queues, event bus, or handoff DTOs. AgentNest uses in-process calls locally and Azure Service Bus for cross-service hospital workflows.

Why should you care?

Analytics agent on a GPU worker must talk to CRM agent on API nodes without shared memory.

See it live — copy this example

Paste into an ASP.NET Core 8+ / AgentNest project, then run with dotnet run (set your API keys in user-secrets).

// AgentNest.Messaging/AgentMessageBus.cs
public sealed record AgentEnvelope(string From, string To, string Intent, JsonDocument Payload);

public interface IAgentMessageBus
{
    Task PublishAsync(AgentEnvelope message, CancellationToken ct);
    IAsyncEnumerable<AgentEnvelope> SubscribeAsync(string agentName, CancellationToken ct);
}

What happened?

  • AgentEnvelope carries intent and JSON payload between agents.
  • SubscribeAsync lets HospitalTriageAgent listen without polling SQL.

Practice next

  1. Define AgentEnvelope contract in AgentNest.Messaging.
  2. build ServiceBusAgentMessageBus for production.
  3. Use in-memory bus for local dotnet run.
  4. Add reply-to field for request/response pattern.
  5. Dead-letter envelopes failing schema validation.

Remember

Agents communicate via envelopes on a message bus. Keep payloads small and tenant-scoped. Use in-process handoffs inside one API; bus across services.

Cross-node hospital triage

Triage agent runs on edge; narrative agent on central API.

Outcome: Service Bus envelopes move FactBundle JSON with correlation IDs.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain Concepts in the context of ASP.NET Core with Agentic AI.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Concepts…
Mid Detailed
What are common mistakes teams make with LLMs when using ASP.NET Core with Agentic AI?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define LLMs in p…
Senior Detailed
How would you debug a production issue related to RAG in a ASP.NET Core with Agentic AI application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define RAG in pl…
Junior Detailed
Describe a real-world scenario where Production mattered in a ASP.NET Core with Agentic AI project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Productio…
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ASP.NET Core with Agentic AI Tutorial
Course syllabus

ASP.NET Core with Agentic AI Tutorial

Module 1: AI and Agentic AI Foundations
Module 2: ASP.NET Core AI Fundamentals
Module 3: Semantic Kernel
Module 4: AI Agents and Multi-Agent Systems
Module 5: RAG and Vector Databases
Module 6: AI Security and Observability
Module 7: Cloud-Native AI and DevOps
Module 8: AI SaaS and Enterprise Systems
Module 9: AI System Design and Architecture
Module 10: Enterprise AI Projects
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