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Azure/azure-sdk-for-net’s past year of commit activity
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://learn.m…
Azure/azure-sdk-for-java’s past year of commit activity
This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.mi…
This repository contains the Azure Landing Zones (ALZ) Bicep (Classic) modules that help deliver and deploy the Azure Landing Zone conceptual architecture in a …
Azure/azure-sdk-for-python’s past year of commit activity
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn…
Azure/azure-sdk-for-js’s past year of commit activity
This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For consumers of the SDK we recommend visiting our public develope…
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Genera…
The GPT-RAG Orchestrator service is an agentic orchestration layer built on Microsoft Foundry Agent Service and the Microsoft Agent framework. It enables agent-…
Agent Baker is aiming to provide a centralized, portable k8s agent node provisioning lib as well as rich support on different OS image with optimized k8s binari…
This repository provides the user interface for the GPT-RAG solution, enabling seamless interaction with the Orchestrator backend. Built with Chainlit, it suppo…
This GitHub Action allows you to provision resources and deploy your application on Azure with Azure Developer CLI commands. The action installs the Azure Devel…
AgentOps Toolkit is an open source framework and CLI for adding continuous evaluation and observability to enterprise AI agents. It standardizes evaluation patt…
A developer CLI for working with Azure resources to build and deploy AI applications. Commands map to key workflow stages: code, build, deploy, and monitor.