When deploying AI agents to production, you have several Azure options to consider like Azure Container Apps, Azure Kubernetes Service, Azure App Service, Azure Functions, Microsoft Foundry Agents and Microsoft Foundry Hosted Agents. Let's examine each option before diving deep. During development you can expose your local server to ChatGPT using a tunnel such as ngrok: Keep the tunnel running while you iterate on your connector. When you change code: Rebuild the component bundle (npm run build). Refresh the connector in ChatGPT settings to pull. Azure offers multiple ways to host AI agents, each with different tradeoffs across control, operational overhead, scalability, and agent‑native capabilities. Choosing the right option isn't about finding a single “best” service—it's about matching your agent's requirements to the right hosting. Build and deploy an OpenAI-powered API on the cloud using Sevalla in minutes. AI-powered applications are changing how we build products. With platforms like OpenAI, you can quickly add natural language understanding, text generation, and even sentiment analysis to your projects. This guide will. We're going to walk through deploying AI applications using FastAPI and Docker,two tools that, when combined, make your AI services portable, production-ready, and a joy to work with. sh script to set up the AI Server and ComfyUI Agent.