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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 Page 6 of 27
Browse additional OpenAI for .NET Developers articles from the DotNetNews archive.
OpenAI for .NET Developers articles
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Custom Error Hierarchies in Enterprise LangGraph Multi-Agent Systems
C# Corner Issue #516
Build resilient enterprise AI with custom error hierarchies in LangGraph. Achieve automated self-healing and enhanced observability.
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How to Build a Production-Ready AI Chatbot in ASP.NET Core Using Retrieval-Augmented Generation (RAG)
C# Corner 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# Corner 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# Corner 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
YapCast – Jesse Liberty 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# Corner Issue #515
Standardize enterprise AI agent communication with FIPA-ACL inspired protocols in .NET for reliable task delegation and negotiation.
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How I Fixed a Silent Bug in Microsoft’s Semantic Kernel
Medium Issue #514
My contribution to a 28k-star Microsoft OSS project: adding Think support to the Ollama connector for .NET reasoning models
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Adding AI to Your ASP.NET Core Application: What It Actually Involves
Facile Technolab Blog 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# Corner 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
Microsoft Dev Blogs 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.
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AI Governance and Autonomous AI Agent Governance: From Controlling Models to Governing Digital Actors - Human-in-the-Loop Is Not Enough
C# Corner Issue #512
AI governance evolves from model control to governing autonomous digital actors, emphasizing identity, authorization, and accountability for responsible operations.
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I built an AI-writing detector that shows its work — and speaks Spanish
Medium Issue #511
Most AI detectors are black boxes. You paste a paragraph, a number comes back (“87% AI”) and you’re supposed to trust it. A teacher can’t…
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Enterprise AI Patterns for .NET Developers
YouTube Issue #511
Join Bruno Capuano and Angel Hernandez for a live conversation on the latest developments in AI for .NET developers. In this episode, we'll explore practical ways to integrate AI into modern .NET appl...
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Microsoft updates MCP C# SDK for stateless MCP - InfoWorld
infoworld.com Issue #511
Microsoft updates MCP C# SDK for stateless MCP InfoWorld
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From Keywords to Meaning: Building Semantic Vector Search in .NET
Medium Issue #511
Traditional search finds keywords. Vector Search finds meaning.
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OpenTelemetry in Microsoft Agent Framework Apps
YapCast – Jesse Liberty Issue #511
Observability has become a critical component for ensuring the performance and reliability of applications. OpenTelemetry, an open-source observability framework, provides developers with the tools ne...
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Agentic AI System Design Explained: The Building Blocks Behind Real AI Agents
C# Corner Issue #510
Unlock the secrets of agentic AI system design: explore building blocks like model routing, tools, memory, orchestration, and production principles for reliable AI agents.
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Global Exception Handling in ASP.NET Core: Building Consistent and Secure Error Responses
C# Corner Issue #510
Master ASP.NET Core global exception handling for secure, consistent error responses. Centralize, log, and map exceptions for robust applications.
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Building AI Features with the OpenAI Responses API in ASP.NET Core
C# Corner Issue #508
Integrate OpenAI's unified Responses API into ASP.NET Core for AI features like chatbots, content generation, and summarization. Simplify AI development.
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Build AI Agents with .NET 10 and Semantic Kernel
C# Corner Issue #508
Build AI agents with .NET 10 and Semantic Kernel. Learn production practices for reliable, scalable AI applications.
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Building RAG Applications in C# with Semantic Kernel and Azure AI Search
C# Corner Issue #508
Build C# RAG apps with Semantic Kernel & Azure AI Search. Ground LLMs in your data for accurate, context-aware responses.
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Building AI Chat Applications with ASP.NET Core and Server-Sent Events
C# Corner Issue #507
Build real-time AI chat apps with ASP.NET Core and Server-Sent Events (SSE). Stream AI responses for a faster, interactive user experience.
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Move Agent Orchestration/Workflows out of Code with Agent Framework Declarative Workflows 1.0
Microsoft Dev Blogs Issue #507
Most multi-agent apps wire every flow in application code: the sequence of steps, branching, and handoffs between agents all live inside the program, making the orchestration harder to review, version...
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I built a Production-Ready Agentic Finance Tracking App. It’s Simpler Than You Think.
Medium Issue #507
“Agentic loop”, “autonomous app” — these buzzwords sound really intimidating when you first hear it.
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Secure AI Applications in ASP.NET Core: Preventing Prompt Injection and Data Leakage
C# Corner Issue #506
Secure ASP.NET Core AI apps against prompt injection & data leakage. Learn best practices for LLM security, RAG, and tool access.