Sentinel Data Connector: Google Workspace (G Suite) (using Azure Functions)
I'm encountering a problem when attempting to run the GWorkspace_Report workbook in Azure Sentinel. The query is throwing this error related to the union operator: 'union' operator: Failed to resolve table expression named 'GWorkspace_ReportsAPI_gcp_CL' I've double-checked, and the GoogleWorkspaceReports connector is installed and updated to version 3.0.2. Has anyone seen this or know what might be causing the table GWorkspace_ReportsAPI_gcp_CL to be unresolved? Thanks!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.
Data Connectors Storage Account and Function App
Several data connectors downloaded via Content Hub has ARM deployment templates which is default OOB experience. If we need to customize we could however I wanted to ask community how do you go about addressing some of the infrastructure issues where these connectors deploy storage accounts with insecure configurations like infrastructure key requirement, vnet intergration, cmk, front door etc... Storage and Function Apps. It appears default configuration basically provisions all required services to get streams going but posture configuration seems to be dismissing security standards around hardening these services.
Optimizing Azure DevOps Jira Integration: 5 Practical Use Cases for DevOps Teams
Many teams rely on Azure DevOps (ADO) for development and Jira for project or product management. While each tool is powerful on its own, things often get messy when work items, statuses, and updates live in separate systems. Integrating the two platforms can remove a lot of friction. Below are six common use cases I have seen from real teams, with concrete problems and solutions to make the connection between Jira and Azure DevOps work smoothly. 1. Keeping User Stories and Bugs in Sync Challenge: Teams use Jira for user requests and Azure DevOps for development tasks. Manually updating both systems is tedious and error-prone. Solution: Enable two-way synchronization so that changes in Jira automatically reflect in Azure DevOps and vice versa (including comments and status updates). This keeps bugs and stories aligned without duplicate work. “Before we integrated Jira with Aure DevOps, I spent too much time manually updating task statuses in both systems. Now, with the automatic sync, my team is focused on actual coding work instead of managing project statuses across platforms.” — DevOps Engineer 2. One-Way Sync for Project Management–First Teams Challenge: Some organizations plan and track everything in Jira but manage code exclusively in Azure DevOps. Developers only need the essentials pushed across. Solution: Use a one-way sync from Jira → Azure DevOps to bring over metadata like titles, statuses, sprints, and due dates. Developers see the context they need without cluttering both systems with manual updates. “We rely on Jira for all project planning and management, but the developers need a clean workspace in Azure DevOps. A one-way sync from Jira to ADO helps us keep things efficient and ensures developers always have the latest information without double entry.” — Product Owner 3. Creating Jira Tickets from Azure DevOps Tasks or Bugs Challenge: External partners or stakeholders may only work in Jira Service Management to manage tickets. Developers in Azure DevOps often need their work mirrored for transparency. Solution: Configure automated ticket creation in Jira when certain ADO tasks are tagged. Both teams can track progress in their preferred tool without duplicating effort. “We use Azure DevOps internally, but our external stakeholders only work in Jira. Automating the creation of Jira tickets based on Azure DevOps tasks or bugs has made collaboration seamless and ensured no work is lost in translation.” — DevOps Lead 4. Syncing Epics, Features, and Work Items Challenge: High-level epics might live in Jira, while features and tasks are managed in Azure DevOps. Without integration, visibility across systems is fragmented. Solution: Sync epics and features so Jira provides portfolio-level visibility, while Azure DevOps remains the system of record for detailed development work. This keeps roadmaps and execution aligned. “Tracking epics in Jira while managing the technical work in Azure DevOps used to cause us to lose visibility. Now, everything from high-level epics to individual tasks is in sync, so we always know where we stand.” — Azure DevOps Product Manager 5. Managing Multiple Jira Projects with One Azure DevOps Project Challenge: Large organizations often run multiple Jira projects (by teams or business units) but only one Azure DevOPs project for development. Syncing everything consistently is tough. Solution: Map multiple Jira projects to a single Azure DevOps project, syncing only the key data (titles, statuses, sprints, custom fields). This creates a unified development view without losing project-specific details. “We have multiple teams using different Jira projects, but we consolidate all development work into a single Azure DevOps project. Syncing across these platforms used to be a nightmare, but now everything stays aligned, and we’re able to track all initiatives in one place.” — Azure DevOps Engineer 💬 Have you integrated Jira with Azure DevOps in your team? What worked well, and what challenges did you run into?
[DevOps] dps.sentinel.azure.com no longer responds
Hello, Ive been using Repository connections in sentinel to a central DevOps for almost two years now. Today i got my first automated email on error for a webhook related to my last commit from the central repo to my Sentinel intances. Its a webhook that is automticly created in connections that are made the last year (the once from 2 years ago dont have this webhook automaticly created). The hook is found in devops -> service hooks -> webhooks "run state change" for each connected sentinel However, after todays run (which was successfull, all content deployed) this hook generates alerts. It says it cant reach: (EU in my case) eu.prod.dps.sentinel.azure.com full url: https://eu.prod.dps.sentinel.azure.com/webhooks/ado/workspaces/[REDACTED]/sourceControls/[REDACTED] So, what happened to this domain? why is it no longer responding and when was it going offline? I THINK this is the hook that sets the status under Sentinel -> Repositories in the GUI. this success status in screenshoot is from 2025/02/06, no new success has been registered in the receiving Sentinel instance. For the Sentinel that is 2 year old and dont have a hook in my DevOps that last deployment status says "Unknown" - so im fairly sure thats what the webhook is doing. So a second question would be, how can i set up a new webhook ? (it want ID and password of the "Azure Sentinel Content Deployment App" - i will never know that password....) so i cant manually add ieather (if the URL ever comes back online or if a new one exists?). please let me know.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.Step-by-Step: How to Setup Copilot Chat in VS Code
Copilot Chat is an AI-powered chatbot leveraging OpenAI's GPT-4, designed to enhance your coding workflow. Learn how to set up Copilot Chat step by step in Visual Studio Code (VS Code). Benefit from personalized and flexible coding environments, code analysis, automated unit test generation, and bug fixes. Prerequisites include an active GitHub account and the latest version of VS Code. Elevate your coding efficiency to new heights with Copilot Chat.Preview the new Microsoft 365 LTI® for your LMS
Enhance your LMS with the power of Microsoft 365 We are excited to announce the public preview of Microsoft 365 LTI. Experience the full potential of Microsoft 365 directly within your Learning Management System (LMS) through a simple to integrate learning tool interoperability (LTI). Microsoft 365 LTI makes LMS integrations simple, with a powerful tool designed to introduce new capabilities to streamline and simplify deployment. Deploy and access the new Microsoft 365 LTI in your LMS with the overview and deployment guides. At-a-glance: The Microsoft 365 LTI is now in Public Preview, bringing all your favorite Microsoft Education tools into a single, seamless experience inside your LMS. No more juggling multiple integrations - just streamlined access to everything educators and students need, right where they work. This includes: Unified access to OneDrive, Teams, Class Notebook, Reflect, and more, directly in your LMS Add content, create assignments, and schedule meetings - all from one place No need to enable multiple tools separately or clutter your LMS menus Replaces deprecated Teams Meetings and Team Classes LTI tools Expanding support for Microsoft Assignments, OneDrive, OneNote Class Notebooks, and Reflect Available for Canvas, Schoology, Blackboard, D2L Brightspace, Moodle, and more Let’s dive into the new Microsoft 365 LTI to streamline your learning management system experience We are bringing our Microsoft Education capabilities for learning management systems together into a single tool and streamlined user experience. Educators will be able to access Learning Accelerators, Reflect, OneDrive, Teams, and more in their LMS courses, without having to enable multiple tools separately, and without overcrowding menus where LTI tools are surfaced. Whether adding content to a module, creating an assignment, or scheduling a meeting for a class, you will be able to easily access Microsoft Education related features directly in your LMS workflow. Microsoft 365 LTI debuts with replacements for the deprecated Teams Meetings and Team Classes LTI tools that sunset on 9/15/2025. The capabilities of Microsoft Assignments, OneDrive, OneNote Class Notebooks, and Reflect will also be added to the Microsoft 365 LTI in preview, and those existing LTIs will continue to be supported as their capabilities transition. Microsoft 365 LTI will be available for all currently supported LMS platforms, including Canvas by Instructure, PowerSchool Schoology Learning, Blackboard by Anthology, D2L/Brightspace, and Moodle™, and for any LTI 1.3 Advantage compliant platform. Learning Accelerators and AI-enhanced assignments in your LMS (without Microsoft Teams) With the Microsoft 365 LTI, you will be able to use Learning Accelerators, multiple-document submissions, AI rubric and instructions generation, AI-assisted feedback, auto-graded Forms and other Microsoft Education assignment capabilities directly within your learning management system (LMS), without the need to create and sync a Microsoft Team for your class. Assignments in Microsoft 365 LTI no longer require Teams, enabling more LMS users to benefit from advanced, AI-enhanced capabilities that were formerly exclusive to Microsoft Teams for Education. Assignments can be created, managed, completed, and graded, without leaving your LMS, and grades and feedback will sync automatically to the LMS gradebook. This capability is included automatically in the new Microsoft 365 LTI tool. Existing, Teams-based assignments will continue to work and can be copied to new courses, so no migration is necessary. This enhancement will apply to all currently supported LMS platforms, including Canvas, Schoology, Blackboard, D2L Brightspace, and Moodle. Teams and Teams Meetings Microsoft 365 LTI replaces the former Teams Classes LTI and Teams Meetings LTI tools, with improved user experience. Users can easily schedule, manage, and launch meetings from directly within their LMS course. The tool provides streamlined views of future and past meetings, consolidated attendance reports, and a new “Meet Now” capability. Automatic rostering in Class Notebooks returns with the Microsoft 365 LTI In March, we announced the retirement of automatically adding newly rostered students and co-educators to OneNote Class Notebooks provisioned through the LMS using the LTI 1.1 integration. This much-loved feature is back in the new Class Notebook app in Microsoft 365 LTI. Any instructor in the LMS course can create a Class Notebook and all co-educators and students automatically added to the notebook, even as the LMS roster changes. In addition, the new integration enables OneNote with the benefits of LTI 1.3 conformance and a modernized provisioning flow for educators to easily deploy new Class Notebooks for their courses. Existing notebooks created in the LTI 1.1 integration will continue to work, and sections and pages can be easily copied to new notebooks. OneDrive and Microsoft 365 files with embedded editors and new placements The new Microsoft 365 LTI tool expands beyond the capabilities of the existing OneDrive LTI tool. The full capabilities of Word, PowerPoint, and Excel, including Microsoft 365 Copilot, are now available within the LMS experience for attaching content resources, collaborative documents (including Collaborations for Canvas Courses and Groups!), and students editing and submitting Microsoft 365 documents as an assignment without leaving the LMS. Documents can be embedded or linked into courses and other LMS activities like discussions, announcements, pages, with proper management of permissions to prevent oversharing, and with dedicated course-level storage to support proper document lifecycle management, assignment workflows, and use of Microsoft 365 Copilot. Easily add Reflect to your classroom toolset Microsoft 365 LTI provides easy access to Microsoft Reflect to support student wellbeing in the classroom. Educators can create check-ins, view responses, and monitor trends within an LMS course. Users can access activities from Microsoft and partners such as Calm to support physical and mental wellbeing. For more information, and to keep up with future product announcements Please visit the Microsoft Tech Community Education Blog and subscribe to keep up with what’s new in Microsoft Education. We also hold bi-monthly office hours every first and third Thursday where lots of LMS + Microsoft 365 customers come to discuss scenarios and get assistance from peers, please join us! Microsoft 365 LTI Office Hours 1 st and 3 rd Thursday of each month @11am EST Join link: https://aka.ms/LTIOfficeHours We can’t wait to hear your feedback! Try out the preview today. How to get help or send feedback For any issues deploying the integration, our Education Support team is here to help. Please visit https://aka.ms/EduSupport Once deployed, the Teams Assignments integration has links to Contact Support and Send Feedback from right within the app. These can be found in the user voice menu in the upper right on any view that appears within the LMS. Learn more about Microsoft feedback for your organization. Learning Tools Interoperability® (LTI®) is a trademark of the 1EdTech Consortium, Inc. (1edtech.org) The word Moodle and associated Moodle logos are trademarks or registered trademarks of Moodle Pty Ltd or its related affiliates.
