Azure-Openai

macOS has had built-in dictation since Monterey. It is fine — press and hold a key, speak, done. But it requires Apple’s servers (unless you download the enhanced on-device model), only works in some apps, and you have zero control over punctuation, formatting, or hotkeys.

TL;DR # This article demonstrates how to build a REST API that converts natural language into SQL queries using multiple LLM providers (OpenAI, Azure OpenAI, Claude, and Gemini). The system dynamically selects the appropriate AI service based on configuration, executes the generated SQL against a database, and returns structured results. It includes a complete implementation with a service factory pattern, Docker setup, and example usage.

Introduction # Artificial Intelligence is transforming how we build applications, particularly in creating natural, conversational user experiences. This article guides you through building a full-stack AI chat application using .NET on the backend, Angular for the frontend, and Azure OpenAI for powerful language model capabilities, all connected through real-time SignalR communication.