Think Different

                                                                                 gemini ai Source diagram: Multi-agent GenAI chat platform for a bank — Coordinator Agent orchestrating Accounts / Transaction / Service agents over MCP servers, fronted by an edge/API layer, with observability, cost tracking, PII redaction, agent evaluation, and a session store. This document maps every box in the diagram to concrete, current (2026) Azure and AWS resources, plus the open-source/framework layer (LangGraph, MCP, evaluation, Neo4j) you'd wire underneath either cloud. Where a component is genuinely cloud-native (e.g., the bank's own IdP, Azure/AWS aren't interchangeable at the same layer), that's called out. 1. Layer-by-Layer Component Map # Diagram comp...

                                                                                           microsoft Microsoft Azure Foundry now unifies AutoGen and Semantic Kernel into a single agentic framework, making it easier to build, orchestrate, and scale multi-agent systems. The new Azure AI Agent Service provides managed infrastructure, code execution in Azure Container Apps, and seamless integration with tools like file search and code interpreters. 🧩 How Azure Foundry + Agent Service Works Azure AI Foundry : Central hub for deploying GPT‑4o models, managing endpoints, and creating agents. Azure AI Agent Service : Fully managed service to build and run agents without worrying about compute or scaling. AutoGen : Provides orche...