Tutorials Agentic AI with .NET Tutorial
Basic Metrics for Agents
Basic Metrics for Agents: free step-by-step lesson with examples, common mistakes, and interview tips — part of Agentic AI with .NET Tutorial on Toolliyo Academy.
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Agentic AI with .NET Tutorial · Lesson 27 of 120
Basic Metrics for Agents
Foundations & SK → Tools & RAG → Product & Ops → Projects
Foundations & SK · 1 — Agent basics · ~6 min · .NET AI Wiring
What is this?
Basic Metrics for Agents belongs to .NET wiring: DI, options, HTTP, logging, and telemetry around agents.
Why should you care?
Agents fail in production when configuration and observability are afterthoughts.
See it live — copy this example
Use .NET 8+. Run Semantic Kernel samples in a console or Web API. Keep API keys in user secrets or environment variables — never in source.
// Basic Metrics for Agents
builder.Services.Configure<AiOptions>(builder.Configuration.GetSection("Ai"));
builder.Services.AddHttpClient("llm");
// Register agent services for: Basic Metrics for Agents
What happened?
- Use IOptions and named HttpClient.
- Keep model endpoints out of hard-coded strings.
Practice next
- Recreate the sketch in a .NET 8 console or Web API.
- Connect a real or mock chat client.
- Add one validation or auth check.
- Tighten the prompt/tool description.
- Log duration of the model call.
Remember
You can explain Basic Metrics for Agents simply. You have a C# sketch to extend. You know one safety or ops risk.
Basic Metrics for Agents in AgentVerse
Your team applies basic metrics for agents while building a .NET agent platform.
Outcome: A concrete next coding step exists.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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