Tutorials ASP.NET Core with Agentic AI Tutorial

AI Service Architecture — Complete Guide

AI Service Architecture — 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 16 of 100

AI Service Architecture

AI basicsAgents

AI basics · 1 — Setup · ~6 min · Module 2: ASP.NET Core AI Fundamentals

What is this?

AI service architecture splits HTTP controllers, application agents, domain plugins, and infrastructure clients into layers. AgentNest keeps controllers thin — they validate DTOs and call IAgent services.

Why should you care?

ERP and hospital modules evolve independently; clear layers prevent CRM prompt strings from leaking into EF Core repositories.

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 layers (ASCII)

Controllers (AgentNest.Api)
    -> Application agents (AgentNest.Agents)
        -> Plugins / tools (AgentNest.Plugins)
            -> Infrastructure (OpenAI, SQL, Pinecone)
*/

What happened?

  • The diagram shows dependency direction downward only.
  • Controllers never reference Pinecone SDKs; agents call IVectorStore abstractions.

Practice next

  1. Create solution folders: Api, Agents, Plugins, Infrastructure.
  2. Reference rules: Api -> Agents -> Plugins -> Infrastructure only.
  3. Move OpenAI calls out of controllers into agent classes.
  4. Extract IVectorStore interface and move Pinecone code to Infrastructure.
  5. Add a diagram to AGENTS.md for onboarding.

Remember

Layer AgentNest so AI logic lives in Agents, not controllers. Plugins wrap external systems with narrow interfaces. Infrastructure holds SDK details and connection strings.

Hospital plugin audit

Security review asks where PHI touches the LLM.

Outcome: Layer map shows only HospitalPlugin in Agents reads EHR — easy to redact.

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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