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Step-by-Step Guide Azure OpenAI App Service Production Python How to Deploy an AI Chatbot on Azure Using Azure OpenAI and App Service From zero to a production-grade AI chatbot: provision Azure OpenAI, write a streaming Flask API backend, deploy it on Azure App Service with Managed Identity, wire in conversation history and content safety, and instrument it with Application Insights — all with complete code and Terraform IaC. No API keys in environment variables. No hardcoded secrets. No half-finished PoC patterns. 7 phases This guide covers the full deployment lifecycle: architecture design → resource provisioning → backend code → App Service deployment → streaming → security → monitoring Zero keys The chatbot authenticates to Azure OpenAI using Managed Identity and DefaultAzureCredential — no API keys stored in environment variables, Key Vault, or code SSE Server-Sent Events stream GPT tokens to the browser as they generate — the same token-by-token typing effect users expect from pr...