Tutorials ASP.NET Core with Agentic AI Tutorial

Function Calling — Complete Guide

Function Calling — 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.

On this page

ASP.NET Core with Agentic AI Tutorial · Lesson 34 of 100

Function Calling

AI basicsAgents

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

What is this?

Function calling is the OpenAI/Azure API feature exposing JSON schemas of functions the model may call. AgentNest defines schemas from KernelFunction metadata for ERP tool catalogs.

Why should you care?

Explicit JSON schemas let you diff tool surfaces between releases and block deprecated ERP functions at the gateway.

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.Api/Schemas/GlFunctionSchemaExporter.cs
public static class GlFunctionSchemaExporter
{
    public static object Describe(KernelFunction fn) => new
    {
        name = fn.Name,
        description = fn.Description,
        parameters = fn.Metadata.Parameters.Select(p => new { p.Name, type = p.ParameterType?.Name })
    };
}

What happened?

  • Describe projects kernel function metadata into OpenAI-compatible schema shapes for documentation and APIM validation.
  • Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

  1. Export schemas from GlPlugin functions at startup.
  2. Publish schemas to internal wiki for finance reviewers.
  3. Compare schema hashes between releases in CI.
  4. Add required flags on parameters in exported schema.
  5. Version schema bundle at GET /api/ai/tools.

Remember

Function schemas describe tools to the model API. Generate schemas from KernelFunction metadata. Keep function sets small per agent for accuracy.

ERP tool catalog

Finance wants sign-off on which GL tools agents may call.

Outcome: Exported schemas give auditors a readable catalog tied to C# source.

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…
Questions on this lesson 0

Sign in to ask a question or upvote helpful answers.

No questions yet — be the first to ask!

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
Toolliyo Assistant
Ask about tutorials, ebooks, training, pricing, mentor services, and support. I use public site content only—not admin or internal tools.

care@toolliyo.com

Need callback? Share your details