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Develop a Multi Agent Application and Deploy into Azure

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                                                                      Azure Let’s break this down into a clear roadmap so you can go from design to deployment smoothly. 🧩 Step 1: Define Your Multi‑Agent Architecture Agents : Decide what roles your agents will play (e.g., data collector, analyzer, planner, executor). Communication : Choose how agents will talk to each other — options include: REST APIs Azure Service Bus / Event Grid Direct messaging via frameworks like LangChain or AutoGen Coordination : Decide if you’ll use a central orchestrator (controller agent) or a peer‑to‑peer model. ⚙️ Step 2: Local Development Frameworks : Use Python with LangChain, AutoGen, or Microsoft’s Semantic Kernel for agent orchestration. Environment : Containerize each agent with Docker for portability. Testing : ...

UCP

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                                                                  google The Universal Commerce Protocol (UCP) is a new open-source standard (launched Jan 2025) designed to enable "Agentic Commerce." In simple terms: it is a "shared language" that allows AI agents (like Gemini) to talk directly to a store's backend to find products, handle discounts, and complete a purchase without the user ever having to visit the website or manually fill out a checkout form. 1. How it works (Step-by-Step) Discovery: You ask an AI agent (like Gemini) for a specific product. The agent uses UCP to "ping" various merchants to see who has it and what their "capabilities" are (e.g., do they support guest checkout? loyalty points? specific shipping?). Negotiation: The AI agent and the store’s server negotiate the details in the background. The...