Tutorials ASP.NET Core with Agentic AI Tutorial

ASP.NET Core AI Setup — Complete Guide

ASP.NET Core AI Setup — 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 11 of 100

ASP.NET Core AI Setup

AI basicsAgents

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

What is this?

ASP.NET Core AI setup means adding NuGet packages, configuration, and DI registrations so your API can call models safely. AgentNest starts from a clean web API with user secrets for keys and Microsoft.Extensions.AI abstractions.

Why should you care?

Every AgentNest module — CRM, hospital, ERP — shares the same bootstrap so interns and production use identical package versions.

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).

// Program.cs — AgentNest.Api
builder.Services.AddOpenAIChatClient(
    builder.Configuration["OpenAI:ApiKey"]!,
    modelId: builder.Configuration["OpenAI:Model"] ?? "gpt-4o-mini");

var app = builder.Build();
app.MapGet("/health/ai", () => Results.Ok(new { status = "ready", stack = "extensions.ai" }));
app.Run();

What happened?

  • AddOpenAIChatClient registers IChatClient from configuration.
  • A health route proves the host starts before you wire agents or Semantic Kernel.

Practice next

  1. dotnet new webapi -n AgentNest.Api and dotnet user-secrets init.
  2. dotnet add package Microsoft.Extensions.AI.OpenAI.
  3. Set OpenAI:ApiKey and OpenAI:Model in user secrets.
  4. Switch to AzureOpenAIChatClient when AZURE_OPENAI_ENDPOINT is set.
  5. Add readiness check that pings the model with a 1-token prompt.

Remember

Bootstrap AgentNest with IChatClient via Microsoft.Extensions.AI. Keep secrets in user secrets or Azure Key Vault. Verify health before building agents.

Greenfield AgentNest API

A new squad clones the template repo and needs AI working on day one.

Outcome: Shared Program.cs setup lets CRM and hospital teams ship features the same week.

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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