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OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
555 articles Updated
OpenAI .NET is the focus of this topic page. OpenAI for .NET Developers is a recurring focus for C# and .NET developers working in the Microsoft ecosystem. Intermediate and senior .NET developers use this hub to scan practical writing without treating every link as an endorsement.
Recurring subtopics in recent issues include OpenAI .NET, OpenAI C#, Azure OpenAI .NET, and ChatGPT .NET. Those themes are drawn from titles and excerpts in the newest archive entries for this tag, not from a marketing outline.
Expect publisher tutorials, release notes, architecture write-ups, and field notes linked from DotNetNews issues. Start here is a short editorial shortlist for OpenAI for .NET Developers; the archive list is chronological and larger. Secondary angles such as OpenAI .NET and OpenAI C# appear when the archive actually covered them. Nearby reading often overlaps with Microsoft Semantic Kernel and ML.NET.
Each card points at the original publisher URL and the DotNetNews issue that carried it, so you can read the article in context or jump straight to the source.
Start here
Editor picks for OpenAI
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Building AI-Powered Applications with OpenAI Responses API and .NET
c-sharpcorner.com Issue #503
Responses API coverage is timely, especially for developers comparing newer OpenAI integration patterns with older chat-centric approaches.
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Full-Stack AI Applications with Next.js, ASP.NET Core, and OpenAI
c-sharpcorner.com Issue #502
Broad full-stack walkthrough for teams pairing ASP.NET Core backends with OpenAI features.
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The Story of My OpenAI .NET Contribution
medium.com Issue #501
Always nice to see contribution stories that demystify getting involved in a real SDK.
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7 AI Engineering Patterns Every .NET Developer Should Know (With Practical Examples)
blog.gopenai.com Issue #493
These patterns matter more than model hype. Reliability and system design are where most AI app success or failure really lives.
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Beyond the Chatbot: Demystifying AI Agent Loops, Harnesses, and LLMOps for .NET Developers
medium.com Issue #488
Useful framing for developers moving beyond simple prompt-response apps.
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Zero To First Agent (Azure OpenAI)
news.google.com Issue #450
A practical on-ramp for building an Azure OpenAI agent in C#, especially useful if you want framework context instead of abstract AI talk.
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Generative AI for Beginners in .NET 10: From Curiosity to Real Applications
blog.gopenai.com Issue #426
A few years ago, learning AI meant diving into complex theory, research papers, and tools that often felt disconnected from real-world… Continue reading on GoPenAI ».
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One Line of C#. Every AI Provider.
plsft.medium.com Issue #418
A one-line AI gateway for every provider is the kind of abstraction teams reach for when they want to swap models without rewriting app code.
Archive
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Newest first
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Building AI-Ready APIs with Structured Output Validation in ASP.NET Core
c-sharpcorner.com Issue #519
Build robust AI-powered APIs in ASP.NET Core with structured output validation. Ensure reliable data integration and prevent downstream errors.
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Implementing AI Memory in .NET Applications Using Semantic Kernel
c-sharpcorner.com Issue #519
Unlock AI memory in .NET with Semantic Kernel. Learn about types, stores, and best practices for context-aware applications.
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Mastering Async Concurrency in Enterprise AI: gather vs as_completed vs TaskGroup in LangGraph
c-sharpcorner.com Issue #519
Master async Python for enterprise AI: gather, as_completed, TaskGroup in LangGraph for efficient ML inference and multi-agent concurrency.
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GPT-5.6 now available in Microsoft Foundry
azure.microsoft.com Issue #519
Introducing OpenAI's latest frontier model series, the Asia Pacific Data Zone, and product agent capabilities, all generally available in Microsoft Foundry. The post GPT-5.6 now available in Microsoft...
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Automated Governance and Dynamic Routing in Enterprise LangGraph RAG
c-sharpcorner.com Issue #519
Automate RAG tool registration and enforce Pydantic schemas in enterprise LangGraph with Python metaclasses for scalable, secure multi-agent AI.
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Formalizing LLM Orchestration: A Deterministic Finite Automaton Engine via .NET
medium.com Issue #518
Abstract
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Reproducible Deployments for Enterprise LangGraph Systems
c-sharpcorner.com Issue #518
Ensure enterprise LangGraph RAG systems are reproducible across environments with CI/CD, dependency locking, and dynamic state routing.
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Implementing AI Request Tracing Across Microservices with OpenTelemetry
c-sharpcorner.com Issue #518
Implement AI request tracing in ASP.NET Core microservices with OpenTelemetry for end-to-end observability, diagnosing latency, and failures.
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Build Production-Ready Agents with the GitHub Copilot Harness and Agent Framework
devblogs.microsoft.com Issue #518
Developers increasingly want to build agents that can reason about code, modify files, execute commands, interact with developer tools, and work across entire repositories. While GitHub Copilot alread...
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Building Local AI Applications with ONNX, Phi Models, and .NET 10
c-sharpcorner.com Issue #518
Build fast, private local AI apps with ONNX, Phi models, and .NET. Achieve low latency, offline capabilities, and data control.
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Real-Time Fraud Detection Using Sliding Window Algorithms, LangGraph, RAG, State, and Memory
c-sharpcorner.com Issue #517
Build an enterprise fraud detection system using LangGraph, RAG, and sliding window anomaly detection for real-time financial transaction analysis.
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Building Multi-Agent AI Systems in C# Using Microsoft Semantic Kernel
c-sharpcorner.com Issue #517
Build modular, scalable multi-agent AI systems in C# with Microsoft Semantic Kernel for complex business workflows.
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Unit Testing Enterprise Multi-Agent LangGraph Systems
c-sharpcorner.com Issue #517
Master unit testing for enterprise LangGraph systems. Learn to mock async tools, LLMs, and test state persistence for robust AI deployments.
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Beyond Chat: live Speech-to-Text with Foundry Local and C#
devblogs.microsoft.com Issue #517
A year ago, I wrote a .NET Blog post about running GPT-OSS locally with Ollama and C#. That sample used IChatClient from Microsoft.Extensions.AI to build one of the most familiar Local AI scenarios: a...
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Building AI-Powered APIs in ASP.NET Core Using Azure OpenAI
c-sharpcorner.com Issue #517
Build AI-powered APIs in ASP.NET Core with Azure OpenAI for scalable, secure, and intelligent applications. Explore production best practices.
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Building Enterprise Knowledge Graphs for AI Agents Using Neo4j and C#
c-sharpcorner.com Issue #517
Build enterprise AI agents with Neo4j and C#. Learn to model relationships, integrate with ASP.NET Core, and enhance LLM reasoning.
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Building MCP Servers with ASP.NET Core for Enterprise AI Agents
c-sharpcorner.com Issue #517
Build AI-ready enterprise agents with ASP.NET Core and MCP. Standardize tool discovery, reduce integration complexity, and enhance security.
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How to Build a Production-Ready AI Chatbot in ASP.NET Core Using Retrieval-Augmented Generation (RAG)
c-sharpcorner.com Issue #515
Build a production-ready AI chatbot in ASP.NET Core using RAG. Leverage your business data for accurate, context-aware responses.
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Production-Ready AI Chat Applications in Blazor Using Semantic Kernel
c-sharpcorner.com Issue #515
Build production-ready Blazor AI chat apps with Semantic Kernel. Learn architecture, best practices, and deployment for scalable, secure LLM integration.
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OpenAI Responses API vs Chat Completions API: A Migration Guide for .NET Developers
c-sharpcorner.com Issue #515
Migrate .NET AI apps from OpenAI Chat Completions to Responses API for enhanced tool calling, structured outputs, and future AI features.
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ChatClient Middleware vs. Agent Middleware
jesseliberty.com Issue #515
As noted in a previous post, middleware plays a pivotal role in enhancing the functionality and observability of agents. The Microsoft Agent Framework utilizes two primary types of middleware: ChatCli...
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Implementing Agent-to-Agent Communication Protocols in Enterprise Systems
c-sharpcorner.com Issue #515
Standardize enterprise AI agent communication with FIPA-ACL inspired protocols in .NET for reliable task delegation and negotiation.
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Adding AI to Your ASP.NET Core Application: What It Actually Involves
faciletechnolab.com Issue #514
What adding AI to an existing ASP.NET Core application actually involves - integration patterns, Microsoft Agent Framework, Azure OpenAI, and what to expect.
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Designing AI-Ready Web APIs in ASP.NET Core
c-sharpcorner.com Issue #513
Design AI-ready web APIs in ASP.NET Core with predictable endpoints, structured responses, and accurate OpenAPI for seamless AI integration.
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Announcing v2.0 of the official MCP C# SDK
devblogs.microsoft.com Issue #512
The Model Context Protocol (MCP) C# SDK has reached v2.0, implementing the 2026-07-28 revision of the MCP specification. It's the largest revision of the protocol since it launched.