Tag

Azure OpenAI

This tag collates posts that evaluate Azure OpenAI Service against the GPT‑4 API for .NET microservices, expose strategies for controlling large‑language‑model costs in production, and troubleshoot common API‑rate‑limit errors in .NET‑based retrieval‑augmented generation. These topics help engineers design cost‑aware, resilient AI‑powered services on Azure.

9 articles since Aug 2026

.NET LLM AI Architecture Semantic Kernel .NET CI/CD

When to Build a Single LLM Orchestration Layer

Sep 17, 2026 3 min read

AI Architecture LLM Orchestration Azure OpenAI .NET

Guardrails and Red‑Teaming for LLM Features in .NET Applications – A Production‑Ready Playbook

Learn how to harden .NET LLM services with guardrails, red‑team adversarial testing, and Azure OpenAI best practices—turning prototypes into secure, scalable production systems.

Sep 12, 2026 8 min read

LLM Guardrails Red-Teaming .NET Azure OpenAI AI Safety

Context length cost for .NET developers: Why your prompts are draining the budget

Explore how attention mechanics inflate the context length cost for .NET developers, see real‑world Azure OpenAI pricing, and get production‑ready strategies to keep token spend under control.

Sep 9, 2026 8 min read

LLM .NET Azure OpenAI Prompt Engineering Cost Management

Observability for LLM Apps in ASP.NET Core: Trace First, Metrics

Learn how to instrument, trace, evaluate, and close the feedback loop for large‑language‑model applications built with ASP.NET Core. Real‑world patterns, code, and production tips for Azure OpenAI, Semantic Kernel, and OpenTelemetry.

Sep 8, 2026 8 min read

ASP.NET Core Observability LLM Azure OpenAI OpenTelemetry

Using evals as release gates for LLM changes in .NET CI/CD pipelines

Learn how to embed evaluator‑driven release gates into your .NET CI/CD flow, ensuring LLM updates meet accuracy, safety, and latency standards before they hit production.

Sep 5, 2026 8 min read

LLM .NET CI/CD Azure OpenAI Semantic Kernel Model Evaluation

Fine‑Tune vs Prompt vs RAG Decision Framework for .NET Teams – Choose the Right LLM Strategy

Learn a practical decision framework for .NET teams to pick fine‑tuning, prompt engineering, or Retrieval Augmented Generation. Reduce risk, control cost, and hit latency targets.

Sep 2, 2026 7 min read

fine-tuning .NET prompt engineering .NET retrieval augmented generation .NET Azure OpenAI Semantic Kernel

Azure OpenAI Service vs GPT‑4 API for .NET Microservices: A Deep‑Dive for Architects

Explore the real‑world trade‑offs of Azure OpenAI Service vs GPT‑4 API for .NET microservices, with cost, performance, security, and production‑ready patterns.

Aug 31, 2026 8 min read

Azure OpenAI GPT-4 .NET Microservices AI Architecture Cost Optimization

LLM Cost Control in .NET: Debugging Billing Surprises in Production

Learn how to slash Azure OpenAI spend in .NET services with proven caching, model‑shrinking, and routing patterns—real‑world code, metrics, and a 60% cost‑cut case study.

Aug 29, 2026 7 min read

LLM cost optimization .NET Azure OpenAI Caching Model quantization Routing

Azure OpenAI integration with .NET RAG: Debugging 429s in production

Learn how to harden Azure OpenAI authentication and scale a .NET Retrieval‑Augmented Generation service for production, with real‑world code, architecture, and cost tips.

Aug 26, 2026 7 min read

Azure OpenAI .NET RAG Scaling Authentication