Content by greenie-msft (7)

greenie-msft introduces Dynamic Workflows for Azure Functions hosted skills, showing how to run multi-step, long-running AI-driven plans using Durable Functions so work can continue beyond the original trigger while keeping state, retries, and timers durable.

greenie-msft announces On-demand Sandboxes for Azure Durable Task Scheduler (private preview), a way to offload specific Durable Task activities to managed, isolated compute using your own container images, while keeping the orchestrator unchanged. The post explains the use cases, configuration model, and how to package and run sandbox workers.

greenie-msft announces the General Availability of the Durable Task Scheduler Consumption SKU, a pay-per-use orchestration backend on Azure for running durable workflows and agent sessions across Azure Functions, Azure Container Apps, and other compute environments.

In this detailed guide, greenie-msft explores building the AI Travel Planner using the durable task extension for Microsoft Agent Framework with Azure technologies, highlighting orchestration patterns, reliable multi-agent workflows, and hands-on implementation.

Authored by greenie-msft, this post introduces the general availability of Azure Functions Durable Task Scheduler Dedicated SKU and the public preview of the Consumption SKU, offering advanced orchestration for scalable, resilient workloads on Azure.

greenie-msft explains how the durable task extension for the Microsoft Agent Framework simplifies building highly resilient and scalable AI agents on Azure, with practical code samples and best practices for serverless durability.

greenie-msft details strategies for making AI agents more reliable in production using the OpenAI Agent SDK with Azure Durable Functions, showing how automatic state management and durable orchestration reduce failures and lost progress.