From Model Integration to Agents: Building Intelligent .NET Applications
summary
Walks through concrete .NET integrations: uses the OpenAI.NET SDK for chat, streaming and image bytes (images take ~30–40s), Azure AI Services for language detection, sentiment and translation, and builds a Blazor pie‑shop that auto‑generates descriptions, images and ticket summaries using function‑calling tools. Demonstrates function calls to internal APIs, warns about tool limits (~15–20), and shows Semantic Kernel as an abstraction layer and the new Agent Framework preview (Oct 2025) for orchestrated, multi‑agent workflows — all demos run end‑to‑end.
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chapters (12)
- 0:00Introduction
- 1:06AI terminology overview
- 3:43How LLMs work
- 6:45Interacting with AI models
- 9:00AI options for .NET
- 13:40Using OpenAI API in .NET
- 20:01Building smart applications
- 30:01Function calling in .NET
- 36:05Azure AI Services
- 45:05Semantic Kernel integration
- 55:04Agentic AI development
- 1:00:10Agent framework and conclusion
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