Logic Apps Aviators Newsletter - October 25
In this issue: Ace Aviator of the Month News from our product group News from our community Ace Aviator of the Month October Ace Aviator: Robin Wilde Business and Marketing Manager @Contica What's your role and title? What are your responsibilities? My role is Business and Marketing Manager at Contica. My main responsibility is helping our customers translate business challenges into technical solutions. I come from a technical background as a BizTalk and Azure developer and architect, so I have one foot in the technical world and the other in the business side. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? On any given day, I’m improving our customer offerings, diving into project challenges with colleagues, and exploring new technologies with Ahmed Bayoumy to find better ways of working. If I’m lucky, we’re recording a new episode of Integration Love Story with a community member/friend and learning from their life and tech experience. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The community itself. Since I started working with integration, I’ve always felt that people genuinely want to share their knowledge and experience. The people behind the blog posts that helped me grow as a junior integration developer have turned out to be some of the most humble and generous individuals I’ve met. Everyone is open to sharing their experiences in a kind and respectful way, and that’s incredibly motivating. Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? Everyone has been a beginner. Don’t be afraid to reach out, ask for help and most importantly, stay curious and lean into new technology. “The more you know, the more you realize you don’t know.” And that’s the beauty of it! What has helped you grow professionally? Curiosity and the drive to keep learning. I've been something of a "Yes man" when it comes to new challenges. And being in an environment where the people around you accept you for who you are, every day, that’s a recipe for real growth. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? A built-in AI-powered "next action suggestion” in your Logic App workflow based on other designs in your resource group or predefined business process in the same logic app standard that you are working one. A feature that would help me be more productivity! News from our product group Logic Apps Live September 2025 Missed Logic Apps Live in September? You can watch it here. We shared our latest updates in AI, including the latest refresh on Agent Loop and the introduction of Logic Apps MCP support. Logic Apps Community Day 2025 We are bringing Logic Apps Community Day again this year, on October 30, 2025 (Pacific Time) and we want you to join us as we host a full day of learning where you will be the star! Check the agenda register for this must watch event. Logic Apps - MCP Demos Explore how Azure Logic Apps and API Center simplify building MCP servers to integrate with Salesforce, Dataverse, SharePoint, ServiceNow, and even Copilot Studio. Introducing Logic Apps MCP servers (Public Preview) Microsoft has launched public preview support for building MCP servers using Azure Logic Apps (Standard). This enables developers to turn connectors into modular, reusable tools for scalable agent creation. Two approaches are supported: streamlined setup via Azure API Center and custom configuration for advanced control. Both methods simplify integration across enterprise systems. Announcement! Python Code Interpreter in Logic Apps is now in Public Preview Logic Apps now support Python code execution via Azure Container Apps, enabling users to analyze data, generate insights, and automate tasks using natural language. This feature empowers business users to explore data without writing code, streamlining workflows across sales, finance, and operations. Azure Logic Apps: Ushering in the Era of Multi-Agentic Business Process Automation Microsoft has transformed Azure Logic Apps into a multi-agentic automation platform, introducing features like Agent Loop for AI-driven workflows, Python Code Interpreter for custom logic, and Foundry Agent Service for model integration. These enhancements enable intelligent, collaborative automation with conversational agents, advanced orchestration, and enterprise-grade security and observability. Calling Logic Apps MCP Server from Copilot Studio Microsoft’s Azure Logic Apps now supports MCP Server integration with Copilot Studio, enabling secure and scalable access to enterprise data assets. Using API Center and Logic Apps Standard, developers can expose workflows and connectors as MCP tools, authenticated via Entra ID and Managed Identity. This setup allows conversational agents in Copilot Studio to interact with enterprise systems efficiently and securely. News from our community What Every Developer Needs to Know about AI! Post by Stephen W. Thomas AI is rapidly transforming integration development, and this guide offers a practical roadmap for developers to stay relevant. It emphasizes three focus areas: building foundational AI knowledge, boosting productivity with tools like GitHub Copilot, and mastering enterprise-ready skills through APIs, Microsoft tools, MCP, and agents. With curated resources and expert recommendations, developers can confidently navigate the evolving AI landscape and apply it effectively in business scenarios. BizTalk to Logic Apps with Harold Campos: Standard or Hybrid, what changes & what maps Video by Ahmed Bayoumy Migrating from BizTalk to Azure? In this conversation with Harold Campos, Principal PM - Azure Logic Apps at Microsoft, Ahmed unpacks Logic Apps Hybrid and Logic apps options. What it is, when to use it, and how it helps teams modernize without losing on-prem control. Determinism vs Nondeterminism Post by Håkan Åkerblom Determinism or nondeterminism, two concepts that shape everything from science to philosophy. But what do they mean for system integration? Track Down and Delete Unused Logic Apps in Azure Post by Dieter Gobeyn Azure Logic Apps (Consumption) charge per execution, but even inactive ones can still cost money. Triggers like polling or timers may continue to run, leading to hidden costs. Cleaning up unused Logic Apps improves governance and supports FinOps goals. Handling “When a Blob is Added or Modified” Trigger Limitation and Pick Files from Subfolders with File Extension Filters Post by Prashant Singh Learn how to overcome Logic Apps’ limitations with blob triggers in subfolders and file filters in this Post from Prashant, learn about trigger conditions and Event Grid options to make your workflows smarter and more scalable. Consume an MCP Endpoint from Azure Logic Apps — with an Agent Loop Post by Daniel Jonathan In this post, Daniel shows how to use Azure Logic Apps with an Agent Loop to discover MCP tools, select the right one, and invoke it—all in one flow. Perfect for building smart, dynamic integrations with MCP servers. Logic Apps ❤️ MCP — Expose Arithmetic Tools (Add & Subtract) Post by Daniel Jonathan And Daniel is in a roll. In this post, Daniel shows how to expose simple arithmetic operations—like add and subtract—as MCP tools using Logic Apps. With Postman support, testing these agent-ready workflows is now easier than ever. Logic Apps & MCP - Leverage Your Existing Integration Platform Post by Pim Simons and Michel Pauwels Learn how to turn existing Logic Apps into MCP servers, enabling secure access for AI agents to your APIs, workflows, and data—without changing your architecture. A smart way to future-proof your integrations. Building Approval Workflows with Logic Apps, Adaptive Cards, and Microsoft Teams Post by Saroj Kumar Learn how to build secure, reusable approval workflows using Azure Logic Apps, Adaptive Cards, and Microsoft Teams. Approvers stay in Teams, while automation handles the rest—fast, transparent, and scalable. Microsoft Introduces Logic Apps as MCP Servers in Public Preview Post by Steef-Jan Wiggers In this InfoQ article, Steef-Jan introduces the public preview support for Azure Logic Apps as MCP servers, enabling scalable, secure integration with AI agents and enterprise systems. Build reusable tools and workflows that agents can discover and invoke with ease. The 56 Resubmits Trap in Logic App Standard Post by Luis Rigueira Logic App Standard limits bulk resubmissions to 56 runs every 5 minutes. This post shows how to bypass that using callback URLs for faster, parallel recovery—ideal when dealing with thousands of failed runs. Stop Using Azure Logic Apps for Data Integration Post by Al Ghoniem Workflow tools like Azure Logic Apps aren’t built for heavy data processing. This post explains why ETL/ELT tools are better for data integration—and how to combine both for scalable, reliable pipelines. Integration Love Story with Tom Canter Video by Ahmed Bayoumy and Robin Wilde In this episode of 'Integration Love Story,' Ahmed and Robin interview the legendary Tom Cantor. He discusses his early involvement and long-standing focus on integration, dating back to 1998. Tom emphasizes the community-centric nature of the integration field, recounting personal stories that highlight the value of trust and collaboration among peers.Calling Logic Apps MCP Server from Copilot Studio
We recently released our MCP Server capabilities in Azure Logic Apps that unlocks enterprise data assets for agentic solutions. One of the questions that I received was, how can I connect to the Logic Apps MCP Server from Copilot Studio. In this post/video, we will describe exactly how to set that up. Why Azure Logic Apps? Azure Logic Apps provides an enterprise ready solution for building MCP Servers including the following capabilities: Strong security posture. Our MCP servers support Entra ID authentication (aka EasyAuth) which provides enterprise authentication and authorization capabilities. Logic Apps (Standard) is a single tenant offering, giving customers dedicated compute, storage and networking. Managed Identity is supported in Logic Apps, allowing you to connect to Azure resources in a secure and efficient manner, without keys or secrets Logic Apps support over 1400 connectors including popular SaaS connectors. But, Logic Apps also has built-in connectors that allow for high-throughput scenarios including on-premises connectivity, without needing an on-premises gateway. Pre-requisites In this video, we use the following services: API Center - which provides a wizard experience for building our MCP server. It also offers customers with a governance and discoverability surface for organizations looking to scale their MCP offerings. In this video, I used the free tier. Logic Apps Standard - which will provide our MCP capabilities through exposing workflows and connectors as MCP tools. Copilot Studio - which will provide our conversational capabilities and will consume our MCP Server Setup Use API Center to build a Logic Apps MCP Server. Note: This can be done without API Center as well, but API Center provides some value-add for customers interested in governance and discoverability. During this process, an App registration will be created. We need to obtain some values from this App registration and make some minor changes. Add MCP Server to Copilot Studio. Use your Copilot Studio agent to call MCP Server.Codeful Workflows: A New Authoring Model for Logic Apps Standard
📝 This blog introduce early concepts of a pre-release functionality and is subject to change. Azure Logic Apps Standard offers you a powerful cloud orchestration engine, enabling you to build and run automated workflows that effortlessly integrate resources from various services, systems, apps, and data sources. Whether you're looking to streamline processes across a complex enterprise or simply reduce the need for extensive coding, this platform provides a solution that's both efficient and flexible. For those of you who require more control over workflow designs or want to leverage your expertise in frameworks like .NET and the Durable Tasks framework, Logic Apps Standard now introduces an exciting new feature: Codeful Workflows. With Codeful Workflows, you can define workflows using an imperative programming style, blending the flexibility of coding with the simplicity and operational strengths of Logic Apps. This means you can structure your workflows the way that makes sense to you while still tapping into the rich ecosystem of connectors and tools built into Logic Apps. What Are Codeful Workflows? Codeful Workflows expand the authoring and execution models of a Logic Apps Standard, offering developers the ability to implement, test and run workflows using an imperative programming model both locally and in the cloud. Built on frameworks like .NET and the Durable Tasks framework, Codeful Workflows allow you to structure workflows in code while seamlessly integrating with Logic Apps Standard rich connector ecosystem, and leverage its operational capabilities. The core elements of a Logic App workflow—triggers, actions and connections —are translated into durable task concepts within this codeful model: Triggers are implemented as Client Functions that invoke durable orchestrations, which contain the body of the workflow, blending logic implemented by the language primitives, with connections actions for external connectivity. Connector actions are presented as Activity Functions. The Logic Apps Connector ecosystem is exposed to you via an SDK, bringing discoverability and rich support for intelisense when creating action inputs, invoking actions or reusing action outputs in later steps. The SDK vastly simplifies the execution of those connectors, by wrapping them internally on a Activity Function, so you don’t need to create new activities for each connector action you want to invoke. Connections, which manages the connectivitiy between actions and end systems, remains unchanged, allowing you to setup once and share connections between multiple orchestrations and logic apps declarative workflows. Connector actions uses a reference to a connection, providing flexibility between local and cloud configurations. Using those building blocks, you can create workflows using familiar programming paradigms, while still benefiting from the easy configuration and operational feature of Logic Apps Standard. If you are an existing Logic Apps Standard customer, your codeful and visual workflows can coexist within the same application, bridging the gap between pro-code and low-code approaches. With those two execution models working hand in hand on the same application, Logic Apps Standard becomes a comprehensive orchestration tool that caters to all developer personas, from integration specialists to enterprise teams, with no cliffs on their experience. Creating Codeful Workflows Designing codeful workflows begins with creating a new Logic Apps project within Visual Studio Code, configured for .NET and the Durable Tasks framework. From triggers to actions, developers gain full flexibility to define their workflows programmatically. Implementing Triggers Triggers are the entry points of workflows, and in Codeful Workflows, they are defined as Client Functions. For example, an HTTP trigger can start a workflow when a request is received: [FunctionName("HelloTrigger")] public static async Task<HttpResponseMessage> HttpStart( [HttpTrigger(AuthorizationLevel.Anonymous, "get", "post")] HttpRequestMessage req, [DurableClient] IDurableOrchestrationClient starter, ILogger log) { var requestContent = await req.Content.ReadAsStringAsync(); var workflowInput = new HTTPHelloInput { Greeting = $"Hello from Codeful workflows. You said '{requestContent}'" }; log.LogInformation("Workflow Input = '{workflowInput}'.", JsonSerializer.Serialize(workflowInput)); string instanceId = await starter.StartNewAsync("HelloOrchestrator", workflowInput); log.LogInformation("Started orchestration with ID = '{instanceId}'.", instanceId); return await starter.WaitForCompletionOrCreateCheckStatusResponseAsync(req, instanceId); } Using Connector Actions Both Managed and Service Provider Actions are available to be used within your orchestrations. They are organized in the SDK by type making it easy to find the right connector to use. Once you identify the action to use, you can use the rich intelisense interface to generate inputs and call the action directly in your orchestration code. Deployment and Operations Deploying Logic Apps Standard that uses both codeful and codeless workflows follows the same practices already available in Logic Apps Standard. Operational insights, such as endpoint visibility and execution monitoring, are provided within the Azure Portal, ensuring parity with the functionality available for codeless workflows. This cohesive deployment model allows organizations to maximize their resources and cater to diverse development needs, whether they require quick prototyping via low-code tools or robust, scalable solutions through pro-code implementations. Codeful Workflows and Intelligent Agents You can take advantage of codeful workflows and Logic Apps Standard Agent Loop to create new intelligent applications that embed advanced AI decision-making directly into your processes – enabling your apps and automation to not just follow predefined steps, but to reason, adapt, and act autonomously towards goals. See this demo where we share two approaches to implement agent loops – combining codeful and codeless workflows, where you can reuse existing workflows as tools, and writing agent loop actions directly with code: Looking for feedback on Codeful Workflows We are looking for early feedback on this feature. If you are interested in participating on a private preview, please use the form below to register your interest and we will contact you to share the instructions. https://aka.ms/lacodeful/privatepreview/formLogic Apps Community Day 2025
We have delayed the Speaker announcements, as we had to keep the sessions open for an extra day. Speakers will now by notified by email by September 13th, 2025. Speakers and sessions will be published by September 19th, 2025 We are bringing Logic Apps Community Day again this year, on October 30, 2025 (Pacific Time) and we want you to join us as we host a full day of learning where you will be the star! The Logic Apps Community Day is a free event driven by Microsoft, for anyone who wants to learn more about Logic Apps and how it can help to solve real life integration problems. This year, we want to learn how you have been using AI with Logic Apps, so our themes for the sessions are: Creating Intelligent Applications with Logic Apps and AI: tell us how you have been using Logic Apps features to implement your intelligent application scenarios - from Agent Loops, to Logic Apps exposed as MCP tools, to improving your intelligent application knowledge in real time - we want to see the scenarios you created! Accelerating Logic Apps Developer Velocity with AI: How are you taking advantage of Gen AI to make your developer life easier using Logic Apps? From prompts to create test data, to automated creation of maps, unit test or custom code and anything in between. Maybe you have been using prompts, instructions or chat modes to make your development life easier? We want to see it all! Registration, Speakers and Sessions Want to To make sure you are notified on the day, and want to add the event on your calendar? You can register on our Reactor event page! Check out our agenda below - it will be a day packed with information and lots of amazing topics! Speaker Session Title Session Abstract Sebastian Meyer Intelligent Enterprise Integration – Automated Order Processing with AI and SAP This session explores how modern enterprises can streamline and safeguard their business operations through intelligent system integration. At the core is an AI-powered agent loop implemented in Logic Apps that automatically receives and parses flat files containing individual purchase orders. The Agent identifies critical order quantities and routes them to a business user for manual approval—ensuring compliance with internal control policies. Only approved Orders are transmitted to the SAP system. Finally, the enriched data—combining raw order details and SAP references—is automatically sent via email to the respective business partner. The result is a seamless, transparent, and scalable process that combines human oversight with AI-driven automation. Attendees will learn: - Create AI Agent Loops with Logic Apps - Bring in a Human in the loop - Re-using existing LA Workflows as Tools - Use Connectors to communicate with external Systems - Operational Aspects Toon Vanhoutte Smart invoice processing with Logic Apps Many organizations struggle with identifying the correct internal approver for incoming purchase invoices. It's a process that often involves time-consuming manual work, especially when no purchase order reference is available. In today’s era of generative AI, there must be a smarter way to streamline this challenge. Join me for an engaging session where I demonstrate how Microsoft Logic Apps Agent Loop can revolutionize invoice processing. You’ll see a live demo showcasing how structured data can be intelligently extracted from purchase invoices and how an AI-powered agent can reason over documented business rules to automatically determine the appropriate approver. No need for costly OCR solutions—just the power of Logic Apps and generative AI working together to simplify and accelerate your financial workflows. Michael Stephenson Can I unit test an agentic workflow with logic apps? In this session we will talk about the challenges of testing non deterministic workflows and look at how you might use the logic app unit test framework to be able to implement some testing strategies. Florian de Langhe Unlocking Excel Analytics: Logic Apps + Code Interpreter in Action Excel analysis has always been a challenge in Logic Apps workflows, limiting us to basic read/write operations while complex analytics required external services. This session demonstrates how the new Code Interpreter action, combined with intelligent looping patterns, unlocks powerful Python-driven analytical capabilities directly within your Logic Apps flows. Stephen W Thomas Exposing Your Logic App As An MCP Server – What, Why, and How? Have you heard all the buzz around MCP Servers, but don't really know how it can help you? This session will talk about why using MCP Servers with new and existing Logic Apps will open up new scenarios and gain maximum use across the enterprise. We will take a look at how easy it is to set this up today and expose your workflows to AI Agents. Stefano Demiliani Intelligent applications with Logic Apps and Private AI This session explores the powerful integration of the Azure Logic Apps platform with on-premises and private cloud AI solutions, enabling organizations to maintain data sovereignty while leveraging advanced AI features. You will learn practical implementation strategies and tips for creating intelligent workflows that incorporate private AI models (open LLMs hosted locally, like gpt-oss) for AI-enhanced business process automation, while respecting your organization's privacy and security requirements. Ahmed Bayoumy The “Quick Task” Trap and How Logic Apps agent loop Kills It A while ago i had a meeting with a new client in the cargo shipping business to map their integration landscape. Everything looked solid, most integrations had the usual needs, nothing out of the ordinary. Then they mentioned the “special bookings” that still land in an operator’s inbox. Yes, manual bookings still occur in the enterprise world. Each one seems tiny until you multiply it across a week, a month, and a year. Those interrupts also break the operations team’s focus. So why not build a Logic Apps agentic loop to take the ad hoc cases off people’s plates, while handing off the real edge cases to humans with full context? Sivaji Gullipalli Boosting Developer Productivity in Logic Apps with Generative AI In this lightning talk, I will share how Generative AI can be combined with Azure Logic Apps to accelerate integration development and simplify repetitive tasks. Drawing from real-world insurance project scenarios, I will demonstrate how AI-driven prompts can be used to generate realistic test data, assist in building maps, create unit tests, and even support custom code generation. By leveraging AI during the development lifecycle, Logic Apps developers can significantly reduce manual effort, improve accuracy, and deliver solutions faster. This session is designed to provide beginner-friendly, practical insights that attendees can immediately apply to their Logic Apps projects to enhance productivity and efficiency. Dan Probert What is a prompt - and can I automate it? In this introductory session, we look at what makes a good Gen AI prompt, and look at whether we could automate the generation of a prompt, and what that might take. This session is aimed at those devs that are new to Gen AI/LLM, and want to know more about what a prompt is, and how they might be able to simply prompt creation. Sovit Charak Agentic Document Processing with Logic Apps Standard + Document AI We will demo through logic apps: AI classification & dynamic schemas: identify doc type (contract/invoice/form) and pick the right JSON schema. Schema-aware extraction: Document AI + LLM returns exact keys; invalid outputs auto-repair via a validation loop. Agentic behaviors: tool selection & fallback OCR. Human-in-the-loop: low-confidence fields trigger a Teams Adaptive Card for approve/edit/reject. Business rules & routing. Storage & integrations: original docs to SharePoint/Blob, structured data to SQL/D365/ERP; notifications to Teams/Email. Cameron McKay Leveraging Logic Apps to build easy and effective AI Agents This session will provide an overview of Azure Logic Apps as an agent building tool that solves the problem related to organizations wanting to create agents, but not having a way to build effective agents due to disparate and segregated data sources. We will discuss Agent Loop as our tool to build agents using connectors. We will showcase demos of how to build your first agent, explore the different human in the loop capabilities that are available within agent loop and how we can use logic apps to build agents using connectors. The purpose of the session is to showcase logic apps as an agent building platform.Hybrid Logic Apps deployment on Rancher K3s Kubernetes cluster
K3s is a lightweight Kubernetes distribution, certified by the Cloud Native Computing Foundation (CNCF) and originally developed by Rancher. It is optimized for on-premises environments with limited resources, making it ideal for edge computing and lightweight hybrid scenarios. Unlike a full Kubernetes distribution, K3s reduces overhead while maintaining full Kubernetes API compatibility. This makes K3s an ideal choice for hosting Logic Apps Standard near your data sources—such as on-premises SQL Server or local file shares—when you have lightweight workloads. There are 5 steps which are followed to setup the Hybrid Logic Apps including infrastructure which is illustrated in the following diagram. Most of these 5 steps are same as discussed in the Hybrid Logic Apps doc except the K3s Setup part Set up your own infrastructure for Standard logic app workflows - Azure Logic Apps | Microsoft Learn. Step 1: Prepare the K3s Cluster Docker desktop setup - In this case, the host machine is Windows 11 so decided to user Docker with WSL2 to setup the containers. Install the docker desktop using WSL2 Docker Desktop: The #1 Containerization Tool for Developers | Docker and make sure we select WSL2 Install K3s on your infrastructure and create single node cluster using k3d. #Install choco , kubectl and Helm Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1')) powershell choco install kubernetes-cli -y choco install kubernetes-helm -y choco install k3d -y # open in new powershell window powershell k3d cluster create # deleting the default load balancer Traefik as it conflicts with 80 and 443 port - we can configure the load balancer to other ports if needed kubectl delete svc traefik -n kube-system kubectl delete deployment traefik -n kube-system Next two steps are same as given Set up your own infrastructure for Standard logic app workflows - Azure Logic Apps | Microsoft Learn Step 2: Connect the Kubernetes cluster to Azure Arc Step 3: Setup the Azure Container Apps extension and environment You need to skip the core DNS setup required for Azure Local as given in Update CoreDNS Step 4: Conduct the Storage Configuration for SQL and SMB SQL Database (Runtime Store): Hybrid Logic Apps use SQL database for runtime operations and run history. In this scenario I used on-premise SQL server using SQL Authentication. I setup the SQL Server 2022 on the Windows host machine, enabled SQL server authentication and added new SQL admin user. Please follow the link for more details.. The SQL connection string can be validated using following PowerShell script $connectionString = "Server=<server IP address>;Initial Catalog=<databaseName>;Persist Security Info=False;User ID=<sqluser>;Password=<password>;MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=True;Connection Timeout=30;" try { $connection = New-Object System.Data.SqlClient.SqlConnection $connection.ConnectionString = $connectionString $connection.Open() Write-Host "✅ Connection successful" $connection.Close() } catch { Write-Host "❌ Connection failed: $($_.Exception.Message)" } SMB is used as local file share on Windows host machine; it is advised to use a new user for the Windows SMB share $Username = "k3suser" $Password = ConvertTo-SecureString "<password complex>" -AsPlainText -Force $FullName = "K3s user" $Description = "Created via PowerShell" # Create the user New-LocalUser -Name $Username -Password $Password -FullName $FullName -Description $Description Add-LocalGroupMember -Group "Users" -Member $Username Once the above user is created you can use Windows hosted machine to create Artifacts folder and allow read and write access. Please follow the link for more details Step 5: Create your Logic App (Hybrid) With all prerequisites and infrastructure in place for creating Hybrid Logic Apps, the next step is to build the Logic Apps using the specified connection string and SMB share path. This can be accomplished through the Azure Portal, as outlined below. Now you can create Logic Apps workflows using the designer and execute the Logic Apps workflow.🎉 Azure Logic Apps: Ushering in the Era of Multi-Agentic Business Process Automation
We've reached another exciting milestone in our automation journey, after introducing Agent loop at Build this year. We're excited to announce enhancements that make Azure Logic Apps the multiagentic business process automation platform that empowers you to build intelligent, collaborative automation solutions. This isn't just about automating tasks—it's about creating an ecosystem where agents, workflows, and humans work together seamlessly to drive exceptional business outcomes. The key highlights of this release includes support for Agent loop in any workflow - new or existing, Python code interpreter, support for Foundry Agent Service in Agent loop, rich Conversational capabilities in our agentic workflows, and multiagent patterns in workflows. Along with these new features, we are also introducing Azure Logic Apps Labs, your hub for AI labs, workshops, and tutorials. Customer Momentum & Use Cases Agent Loop has been received with tremendous excitement since its introduction. Customers across industries—Healthcare, Retail, Energy, Financial Services, and more—are embracing it to reimagine how agents collaborate with humans, tools, and workflows. Today, thousands of customers—from startups to large enterprises—are building agentic workflows using Logic Apps platform that power both everyday tasks and mission-critical business processes. Customers are building agentic workflows that drive impact across a wide range of scenarios: Developer Productivity: Write code, generate unit tests, create workflows, mapping data between systems, automate source control,deployment and release pipelines. IT Operations: Incident Management, Ticket and Issues Handling, Policy review and enfocement, Triage, Resource management, cost optimization, issue remediation and more Business Process Automation: Empower sales specialists, retail assistants, order processing/approval flows, and healthcare assistants for intake and scheduling. Customer & Stakeholder Support: Project planning and estimation, Generating content, Automate communication, and streamline customer service workflows. Agent Loop is also powering the Logic Apps team’s own operations, demonstrating its versatility and real-world impact: Release & Deployment Agent: To streamline deployment and release management for the Logic Apps platform. Incident Management Agent: An extension of our SRE Agent, leveraging Agent Loop to accelerate incident response and remediation. Analyst Agent: Assists teams in exploring product usage and health data, generating insights directly from analytics. Evolving Automation: Extending workflows with intelligent Agents Workflows remain the backbone of reliable business automation—essential for governed, regulated, and strictly defined processes where consistency and auditability are paramount. Yet in today’s fast-moving environment, not every process fits into rigid rules. Some must adapt in real time, apply reasoning, and collaborate across multiple participants to achieve outcomes. That’s where our new agentic workflow capabilities come in—not to replace traditional workflows, but to complement them. Workflows deliver structure and reliability for repeatable processes, while agentic workflows powered by Agent loop add adaptability, reasoning, and collaboration for dynamic scenarios. With Logic Apps, you can orchestrate workflows, agents and human experts—preserving compliance where needed and enabling intelligence where it matters most. Every workflow is now Agentic Every workflow in Logic Apps is now an agentic workflow. This means you can seamlessly add AI intelligence to any existing business process with our Agent loop capability. Whether it's a simple approval workflow or a complex multi-step process, you can now infuse AI-powered decision-making and adaptability without rebuilding from scratch. Agent loop backed by Foundry Agent Service Azure Logic Apps now supports creating Agent loop backed by Foundry Agent service, giving you access to the full spectrum of models in Microsoft's Foundry - including third-party options—plus powerful built-in tools like Code Interpreter. You get the best of Microsoft's AI stack: use Logic Apps to build and orchestrate your agentic workflows, while Foundry serves as your centralized catalog for agents, models, and built-in tools. Conversational Agents in workflows built on A2A standards We’re excited to announce that Logic Apps now supports Conversational Agents in workflows—a major expansion beyond Autonomous Agents. Our conversational agents are built on the A2A (Agent-to-Agent) standard, making them fully interoperable within the broader A2A ecosystem of agents and applications. This standards-based approach ensures your Logic Apps agents can seamlessly participate in multi-vendor agent networks while maintaining enterprise-grade security., making them fully interoperable within the broader A2A ecosystem of agents and applications. This standards-based approach ensures your Logic Apps agents can seamlessly participate in multi-vendor agent networks while maintaining enterprise-grade security. Chat experience The out-of-box A2A chat client delivers a rich conversational experience with: Real-time streaming for responsive, natural interactions Multiturn conversations that maintain context across complex interactions Multiple session management allowing users to maintain separate conversation threads Designer integration for testing and development directly within Logic Apps Open-source external client option that organizations can fully customize and brand to match their specific requirements Per-user chat session that supports in-chat consent flow. Full security and isolation across user chats and sessions The chat client is open source so you can customize for your organizational needs Enterprise security by default Security isn't an afterthought—it's built into the foundation. Our conversational agents leverage Azure App Service's built-in Easy Auth capabilities - an out-of-the-box authentication layer that supports federated identity providers like Microsoft Entra. With no SDKs or code changes required, the platform automatically handles token validation, session management, and user identity injection—making your agents secure by default. Agents act On Behalf of Users Our agents operate with full user-aware context through per-user connections using the On-Behalf-Of (OBO) authentication flow. This important capability means that when an agent needs to call a tool, access data, or take an action, it does so using the specific user's identity and permissions—not a shared service account. This ensures that the access rights, permissions, and security policies applied to the user are consistently enforced across all downstream services, preventing unauthorized access. This user-aware approach using OBO transforms agents from simple chatbots into true collaborative partners that can take meaningful action while maintaining the security and governance standards your organization requires. Advanced multiagent orchestration Logic Apps now serves as a powerful workflow orchestration engine that enables sophisticated collaboration between multiple AI agents. Built on proven patterns used in production systems worldwide, our multiagent capabilities let you build automation workflows from simple agent handoffs to complex hierarchical systems where agents coordinate, delegate tasks, and work together to solve problems that would not be feasible for any single agent to handle alone. State Machine powered handoffs: Logic Apps now functions as a sophisticated state machine, enabling you to define precise handoff conditions between agents. This creates dynamic, powerful applications that can tackle complex problems by seamlessly transferring context and control between specialized agents. Nested Agent architecture: Build sophisticated patterns like supervisor-agent hierarchies where agents can utilize other agents as tools. This enables powerful architectural patterns that can break down complex challenges into manageable, specialized tasks. Python Code Interpreter: Extensible Agent tools With Python Code Interpreter support, agents can now think computationally—processing complex problems through code execution. Developers gain unlimited extensibility by bringing custom Python code as agent tools, either writing the code themselves or letting the agent generate it dynamically. This empowers agents to tackle large datasets, perform complex calculations, and execute custom business logic, giving developers the freedom to build specialized tools that go far beyond standard capabilities. Comprehensive Observability and Transparency Logic Apps provides complete run history for full transparency and auditability. We're now introducing task timeline visualization in run history that makes it easy to follow agent and task execution through an intuitive timeline view. The newly added task timeline captures the entire A2A communication flow—showing how tasks are initiated, delegated between agents, and completed, tools used, along with all messages exchanged throughout the process. This gives you full visibility into your multiagent workflows, letting you track task handoffs, monitor agent interactions, and understand the complete execution path for debugging and compliance needs. The platform that grows with your ambitions Logic Apps as a multiagent business process automation platform isn't just about today's needs—it's about future-proofing your automation strategy. As your business evolves and new AI capabilities emerge, your agents and workflows can evolve too, without requiring complete system overhauls. The beauty of this approach lies in its accessibility. Developers familiar with Logic Apps can immediately begin building agentic applications using familiar tools and patterns, while gradually exploring more sophisticated multiagent architectures as their needs grow. The future is built on collaboration! The future of automation is about creating intelligent systems where AI agents, automated processes, and human expertise work together seamlessly. Logic Apps now provides the platform to make this vision a reality. Built with security, isolation, scale, and governance, Logic Apps runs anywhere—giving you everything you need for production-ready applications. Welcome to the era of collaborative intelligence. Welcome to Azure Logic Apps as your Intelligent automation platform! Explore Logic Apps Labs The best way to learn is by building. Ready to get started? Introducing Azure Logic Apps Labs —your hub for AI labs, workshops, and tutorials. Whether you’re exploring agent basics, building autonomous or conversational agents, or designing advanced multi-agent patterns for building agentic workflows, this is the perfect place to begin. We’re continuously expanding these capabilities and welcome your feedback at or https://aka.ms/AgentLoopFeedback📢Announcement! Python Code Interpreter in Logic Apps is now in Public Preview
As AI agents evolve, they increasingly need to do more than just respond to text—they must analyze structured data, reason over complex patterns, and perform custom computations on demand. This is especially true in real-world scenarios where users upload large CSV files and expect agents to perform tasks like exploratory data analysis or generating insights—all from natural language prompts. Why This Matters The above image captures why this matters - behind this need lies a real challenge that many businesses face today. Data is diverse, fragmented, and large. It often comes in the form of CSV files, Excel spreadsheets, or JSON—containing thousands or even millions of rows. But this raw data is rarely useful on its own. It typically requires: Cleaning and transformation Custom logic to extract insights Visualizations or summaries that make the data actionable These steps are often manual, error-prone, and time-consuming—especially for users without data science or engineering expertise. Introducing Python Code Interpreter in Logic Apps Agent Loop We’re excited to announce support for Python code execution, powered by Azure Container Apps (ACA) session pool. This capability enables Logic Apps developers to use Python Code Interpreter in their workflows and also as a tool in Agent loop. You can author the code or use LLM to write code for you. As a code interpreter tool, it Accept natural language instructions Automatically generate Python code Execute that code securely on uploaded datasets (like CSV or JSON) Return insights, visualizations, or next-step data back to the user This brings the power of a code interpreter—similar to ChatGPT’s advanced data analysis tool—right into the Logic Apps runtime. Instead of writing code or manually manipulating spreadsheets, users can now describe their intent in natural language—for example: “Find the top 5 products by revenue” “Forecast demand by region for the next quarter” “Highlight customer segments based on purchase patterns” Under the hood, Logic Apps now enables this flow by interpreting the instruction, generating Python code, executing it securely in an isolated environment, and returning usable results— summaries, forecasts, or data transformations—within the same workflow. Real-World Use Cases This opens up a wide range of possibilities for businesses looking to embed intelligence into their automation: Sales & Marketing: Upload raw sales data and get on-the-fly summaries, forecasts, or regional comparisons. Finance: Analyze expense reports, detect anomalies, or generate quarterly breakdowns from Excel exports. Operations: Clean large log files, surface exceptions, and generate insights to improve reliability. Data Exploration: Let business users ask questions like “Which region had the highest YoY growth?” without writing a single line of code. How It Works The action to execute Python code is powered by Azure Container Apps (ACA)session pool. Azure Container Apps dynamic sessions provides fast and scalable access to a code interpreter. Each code interpreter session is fully isolated by a Hyper-V boundary and is designed to run untrusted code. By enabling network isolation on ACA, your data never leaves the defined network boundaries In Logic Apps, choose the action to execute Python code. You need to create a connection to the ACA session before you use the action. The code to execute can be authored by the developer or generated by the agent Optionally, upload file to the ACA session which can then be referenced as a data source in the Python code Run the workflow to get insights/results from the action execution Getting Started We can’t wait to see developers use this feature to build powerful agents! You can find all the details about the feature and step by step guidance to use this capability in our MS Learn document. If you have any questions, comments or feedback, please reach out to us via this form: http://aka.ms/la/feedbackAnnouncing General Availability: Azure Logic Apps Standard Automated Test Framework
We’re excited to announce the General Availability (GA) of the Azure Logic Apps Standard Automated Test Framework - a major step forward in enabling developers to build, test, and maintain enterprise-grade workflows with confidence and agility. Automated testing has become a cornerstone of modern development practices, and Logic Apps Standard now offers a robust framework to help you create unit tests for both workflow definitions and workflow runs directly within Visual Studio Code. This framework empowers teams to validate logic, simulate external dependencies, and ensure workflows behave as expected—before they’re deployed to production. Since the public preview, we’ve listened to your feedback and continued to enhance the framework. With GA, we’re introducing several key improvements that make testing even more powerful and flexible. What’s New in GA Support for More Mocked Actions You can now mock a broader range of built-in and managed connector actions, making it easier to isolate your workflow logic from external systems. With this release we unlocked support to mock actions for the following actions, unavailable during public preview: Call workflow in this logic app Execute inline code (JavaScript, C#, PowerShell Call Functions (Azure functions, local functions) XML Operations (transform, parse with schema) Liquid Operations (JSON to JSON, JSON to text, XML to JSON, XML to text) Data Mapper operations This enhancement allows for more comprehensive and reliable unit tests, providing more control to your workflow tests, especially in complex integration scenarios. Access to Workflow Settings for Assertions The framework now allows you to access and assert against workflow settings, such as parameters and app setting values. This means you can validate not just the behavior of your workflow, but also the environment in which it runs—ensuring logic consistency across different environments. Inline Script Actions Support Inline Code actions are now fully supported in test scenarios. JavaScript actions are now executed as part of the test workflow execution, since they are part of workflow logic. This improvement allows you to validate the logic of those scripts at part of your workflow scenarios. We are working on bringing similar support for C# and PowerShell scripts. Learn More To get started with the Azure Logic Apps Standard Automated Test Framework, check out the following Microsoft Learn articles: Create unit tests for workflow definitions in Visual Studio Code Create unit tests for workflow runs in Visual Studio Code Logic Apps Standard Automated Test SDK. Let us know what you think and stay tuned for more enhancements coming soon!
