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OpenAI for .NET Developers Articles, Tutorials & News
OpenAI for .NET Developers articles, tutorials, and news from the DotNetNews archive.
665 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# Corner 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# Corner 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 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 Issue #488
Useful framing for developers moving beyond simple prompt-response apps.
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Zero To First Agent (Azure OpenAI)
""charp" OR "asp.net" OR "fsharp" OR "c#" OR "vb.net" " - Google News 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.
Medium 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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Keep PII Out of the Prompt: Reversible Pseudonymization for LLM Calls in .NET 10
Medium Issue #577
Mask names, emails, phones, IBANs and cards before the model sees them, then put them back safely, with one .NET middleware.
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Your MCP Tool Should Ask First: Human Confirmation with Elicitation and MRTR in .NET 10
Medium Issue #577
Stateless MCP servers can now pause a tool and ask the user. How to build it in C# without trusting the requestState that comes back.
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How to Build AI Agents Using ASP.NET Core and Azure OpenAI?
C# Corner Issue #577
Learn how to build an AI agent API with ASP.NET Core and Azure OpenAI, including architecture, tool integration, authentication, and enterprise deployment preparation.
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How to Use Azure OpenAI with the GitHub Copilot SDK in a C# Application
C# Corner Issue #576
Learn how to evaluate and configure GitHub Copilot SDK and Azure OpenAI integration in a C# application, including model providers, authentication, configuration, and secure credential handling.
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Building Enterprise-Ready Agentic AI Workflows Using .NET, Azure OpenAI, and Multi-Agent Orchestration
C# Corner Issue #576
Learn how to design enterprise Agentic AI workflows with .NET, Azure OpenAI, and multi-agent orchestration, including architecture, coordination, security, and integrations.
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Agentic AI Series — Part 2: How AI Agents Actually Work
C# Corner - Skant Gupta Issue #574
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Unifying Transactional and NLP Signals: Building a Feature Store with Multi-Agent LangGraph RAG
C# Corner - Tuhin Paul Issue #574
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RAG and Microsoft Agent Framework Step By Step (2)
YapCast – Jesse Liberty Issue #574
In a previous blog post I walked through a RAG example using Microsoft Agent Framework so that we could do a semantic search against our documents. However, Bruno Capuano (Microsoft) and I went over t...
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NVIDIA Launches Open Agent Safety Platform for AI Agents
C# Corner - Mahesh Chand Issue #572
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RAG with .NET: How to Build AI Applications That Actually Know Your Data
Medium - Chaudhariparesh Issue #572
Large Language Models are powerful, but they don’t automatically know your company’s private documents, internal knowledge base, product…
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Claude Fable 5.1 vs GPT-6 Astra: HTML to PDF in C# (.NET 10)
codewithmukesh Issue #572
I gave Claude Fable 5.1 and GPT-6 Astra the same invoice prompt, rendered all 10 templates with IronPDF on .NET 10 and scored them in C#. Both passed, and one print CSS rule was the only real differen...
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Why content extraction still matters in the GenAI era
Microsoft Dev Blogs - Chu Lahlou Issue #572
The future of enterprise AI is not determined by the model you choose. It is determined by whether your agents can trust the content they act on. Five years into the era of large language model...
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Evaluate More, Spend Less: Batching Microsoft Foundry Evaluators for Efficient Evaluation
Microsoft Tech Community - selshafey Issue #567
Authors: Salma Elshafey, Ali Mahmoudzadeh, Kayla Ames, Ahmad Qardahji, Vivek Bhadauria, Morteza Ziyadi, April Kwong
A single agent trajectory may ...
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Microsoft Foundry: From Agents to Automation with Routines
Medium Issue #567
Your agent shouldn’t wait for someone to type. Let’s run it on a schedule, at a fixed time, or when an assigned GitHub issue lands.Continue reading on Data Science Collective »
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Am I paying for a giant model I don't need?
YouTube - Microsoft Developer Issue #567
https://aka.ms/foundry-portal https://aka.ms/InsideMicrosoftFoundryPlaylist Model Router routes to the best model for the task. But, before you switch, you'll want to know: will it save me money on my...
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Embeddings in AI: How Machines Understand Meaning
Medium - Chaudhariparesh Issue #567
When we read a sentence, we understand its meaning — not just the individual words.
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Azure Cost Estimation: Price AI Workloads Confidently
YouTube - Microsoft Developer Issue #565
As organizations rapidly adopt AI, understanding pricing isn’t just helpful—it’s essential for building scalable, cost-efficient solutions. In this episode of the Azure Essentials Show, Thomas sits do...
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How KV Cache Routing Can Make LLM Inference Faster
C# Corner - Nidhi Sharma Issue #565
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Let Foundry Improve Your Agent: A Practical Guide to the Agent Optimizer
C# Corner - Nithin Issue #561
Learn how to use Microsoft Foundry's agent optimizer to evaluate agent configurations, generate improvements, compare scores, and apply optimized candidates.
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Cut Agent Token Costs with Toolboxes and Tool Search in Microsoft Foundry
C# Corner - Nithin Issue #561
Learn how Microsoft Foundry Toolboxes and tool search reduce agent token usage, improve tool selection, and support MCP tools in Python and C#.
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When Is the LLM Called?
YapCast – Jesse Liberty Issue #561
When working with agents (e.g., in Microsoft Agent Framework) it is easy to be confused as to when the LLM is called. Since calling the LLM (and getting responses) costs money (in the form of expended...
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My Eval Suite Was Lying to Me: Auditing the Judge, Not Just the Agent
Medium - Ali Süleyman TOPUZ Issue #558
I need to admit something first. For about six weeks this summer, I ran an LLM-as-judge eval suite against an agent I maintain, watched…
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Harness, Framework, or SDK: I Audited My Own Agent Stack Against a Real Source-Code Study
Medium - Ali Süleyman TOPUZ Issue #558
A source-code study of eleven coding agents gave me a vocabulary I didn’t know I was missing. So I turned it on my own projects.
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How to Build Agentic UIs With Blazor AI Components
C# Corner - Nidhi Sharma Issue #558
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What’s new in Microsoft Agent Framework: Interactive experiences, memory, and resilient execution
Microsoft Dev Blogs - Dan Taylor Issue #554
An agent that answers a question is a starting point. An agent that completes useful work needs more: an interface users can interact with, memory beyond the current conversation, an appropriate envir...