Unable to retrieve all attachments from forwarded Outlook emails using Graph API
We have integrated Outlook with our system using Microsoft Graph API and subscribed to message events. Whenever we receive an event, we process the email message at our end. Currently, we are facing an issue related to attachments in forwarded email conversations. Scenario An email conversation contains multiple replies. Some of these replies contain attachments. When a user forwards the entire email thread, Outlook generates a forwarded email that includes the conversation history in the email body. Problem When we receive the forwarded email event and fetch the message details using the Microsoft Graph API, we observe the following: The forwarded email only contains the latest reply's attachment. Attachments from earlier replies in the thread are not included in the forwarded message attachments. In some cases: The first reply contains an attachment. Subsequent replies do not contain attachments. When the user forwards the email, the forwarded message JSON shows: hasAttachments: false But, the forwarded email body still contains the previous conversation that had attachments. Our Questions Is there a way to retrieve all attachments from the entire email thread when a conversation is forwarded? Can we retrieve these attachments using the current user's access token via Microsoft Graph API? If there is a way, please also let us know how we can identify forwarded emails using the Microsoft Graph API, so that we can apply this solution only for forwarded emails. Our Requirement We need a reliable solution that works in production to ensure that all attachments from the email conversation are retrieved, even when the email thread is forwarded. This issue is currently impacting our production system, so we would greatly appreciate any guidance on the correct approach. Thank you in advance for your support.Update To API Management Workspaces Breaking Changes: Built-in Gateway & Tiers Support
What’s changing? If your API Management service uses preview workspaces on the built-in gateway and meets the tier-based limits below, those workspaces will continue to function as-is and will automatically transition to general availability once built-in gateway support is fully announced. API Management tier Limit of workspaces on built-in gateway Premium and Premium v2 Up to 30 workspaces Standard and Standard v2 Up to 5 workspaces Basic and Basic v2 Up to 1 workspace Developer Up to 1 workspace Why this change? We introduced the requirement for workspace gateways to improve reliability and scalability in large, federated API environments. While we continue to recommend workspace gateways, especially for scenarios that require greater scalability, isolation, and long-term flexibility, we understand that many customers have established workflows using the preview workspaces model or need workspaces support in non-Premium tiers. What’s not changing? Other aspects of the workspace-related breaking changes remain in effect. For example, service-level managed identities are not available within workspaces. In addition to workspaces support on the built-in gateway described in the section above, Premium and Premium v2 services will continue to support deploying workspaces with workspace gateways. Resources Workspaces in Azure API Management Original breaking changes announcements Reduced tier availability Requirement for workspace gatewaysIntegrating Microsoft Foundry with OpenClaw: Step by Step Model Configuration
Step 1: Deploying Models on Microsoft Foundry Let us kick things off in the Azure portal. To get our OpenClaw agent thinking like a genius, we need to deploy our models in Microsoft Foundry. For this guide, we are going to focus on deploying gpt-5.2-codex on Microsoft Foundry with OpenClaw. Navigate to your AI Hub, head over to the model catalog, choose the model you wish to use with OpenClaw and hit deploy. Once your deployment is successful, head to the endpoints section. Important: Grab your Endpoint URL and your API Keys right now and save them in a secure note. We will need these exact values to connect OpenClaw in a few minutes. Step 2: Installing and Initializing OpenClaw Next up, we need to get OpenClaw running on your machine. Open up your terminal and run the official installation script: curl -fsSL https://openclaw.ai/install.sh | bash The wizard will walk you through a few prompts. Here is exactly how to answer them to link up with our Azure setup: First Page (Model Selection): Choose "Skip for now". Second Page (Provider): Select azure-openai-responses. Model Selection: Select gpt-5.2-codex , For now only the models listed (hosted on Microsoft Foundry) in the picture below are available to be used with OpenClaw. Follow the rest of the standard prompts to finish the initial setup. Step 3: Editing the OpenClaw Configuration File Now for the fun part. We need to manually configure OpenClaw to talk to Microsoft Foundry. Open your configuration file located at ~/.openclaw/openclaw.json in your favorite text editor. Replace the contents of the models and agents sections with the following code block: { "models": { "providers": { "azure-openai-responses": { "baseUrl": "https://<YOUR_RESOURCE_NAME>.openai.azure.com/openai/v1", "apiKey": "<YOUR_AZURE_OPENAI_API_KEY>", "api": "openai-responses", "authHeader": false, "headers": { "api-key": "<YOUR_AZURE_OPENAI_API_KEY>" }, "models": [ { "id": "gpt-5.2-codex", "name": "GPT-5.2-Codex (Azure)", "reasoning": true, "input": ["text", "image"], "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }, "contextWindow": 400000, "maxTokens": 16384, "compat": { "supportsStore": false } }, { "id": "gpt-5.2", "name": "GPT-5.2 (Azure)", "reasoning": false, "input": ["text", "image"], "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }, "contextWindow": 272000, "maxTokens": 16384, "compat": { "supportsStore": false } } ] } } }, "agents": { "defaults": { "model": { "primary": "azure-openai-responses/gpt-5.2-codex" }, "models": { "azure-openai-responses/gpt-5.2-codex": {} }, "workspace": "/home/<USERNAME>/.openclaw/workspace", "compaction": { "mode": "safeguard" }, "maxConcurrent": 4, "subagents": { "maxConcurrent": 8 } } } } You will notice a few placeholders in that JSON. Here is exactly what you need to swap out: Placeholder Variable What It Is Where to Find It <YOUR_RESOURCE_NAME> The unique name of your Azure OpenAI resource. Found in your Azure Portal under the Azure OpenAI resource overview. <YOUR_AZURE_OPENAI_API_KEY> The secret key required to authenticate your requests. Found in Microsoft Foundry under your project endpoints or Azure Portal keys section. <USERNAME> Your local computer's user profile name. Open your terminal and type whoami to find this. Step 4: Restart the Gateway After saving the configuration file, you must restart the OpenClaw gateway for the new Foundry settings to take effect. Run this simple command: openclaw gateway restart Configuration Notes & Deep Dive If you are curious about why we configured the JSON that way, here is a quick breakdown of the technical details. Authentication Differences Azure OpenAI uses the api-key HTTP header for authentication. This is entirely different from the standard OpenAI Authorization: Bearer header. Our configuration file addresses this in two ways: Setting "authHeader": false completely disables the default Bearer header. Adding "headers": { "api-key": "<key>" } forces OpenClaw to send the API key via Azure's native header format. Important Note: Your API key must appear in both the apiKey field AND the headers.api-key field within the JSON for this to work correctly. The Base URL Azure OpenAI's v1-compatible endpoint follows this specific format: https://<your_resource_name>.openai.azure.com/openai/v1 The beautiful thing about this v1 endpoint is that it is largely compatible with the standard OpenAI API and does not require you to manually pass an api-version query parameter. Model Compatibility Settings "compat": { "supportsStore": false } disables the store parameter since Azure OpenAI does not currently support it. "reasoning": true enables the thinking mode for GPT-5.2-Codex. This supports low, medium, high, and xhigh levels. "reasoning": false is set for GPT-5.2 because it is a standard, non-reasoning model. Model Specifications & Cost Tracking If you want OpenClaw to accurately track your token usage costs, you can update the cost fields from 0 to the current Azure pricing. Here are the specs and costs for the models we just deployed: Model Specifications Model Context Window Max Output Tokens Image Input Reasoning gpt-5.2-codex 400,000 tokens 16,384 tokens Yes Yes gpt-5.2 272,000 tokens 16,384 tokens Yes No Current Cost (Adjust in JSON) Model Input (per 1M tokens) Output (per 1M tokens) Cached Input (per 1M tokens) gpt-5.2-codex $1.75 $14.00 $0.175 gpt-5.2 $2.00 $8.00 $0.50 Conclusion: And there you have it! You have successfully bridged the gap between the enterprise-grade infrastructure of Microsoft Foundry and the local autonomy of OpenClaw. By following these steps, you are not just running a chatbot; you are running a sophisticated agent capable of reasoning, coding, and executing tasks with the full power of GPT-5.2-codex behind it. The combination of Azure's reliability and OpenClaw's flexibility opens up a world of possibilities. Whether you are building an automated devops assistant, a research agent, or just exploring the bleeding edge of AI, you now have a robust foundation to build upon. Now it is time to let your agent loose on some real tasks. Go forth, experiment with different system prompts, and see what you can build. If you run into any interesting edge cases or come up with a unique configuration, let me know in the comments below. Happy coding!
New Azure API management service limits
Azure API Management operates on finite physical infrastructure. To ensure reliable performance for all customers, the service enforces limits calibrated based on: Azure platform capacity and performance characteristics Service tier capabilities Typical customer usage patterns Resource limits are interrelated and tuned to prevent any single aspect from disrupting overall service performance. Changes to service limits - 2026 update Starting March 2026 and over the following several months, Azure API Management is introducing updated resource limits for instances across all tiers. The limits are shown in the following table. Entity/Resource Consumption Developer Basic/ Basic v2 Standard/ Standard v2 Premium/ Premium v2 API operations 3,000 3,000 10,000 50,000 75,000 API tags 1,500 1,500 1,500 2,500 15,000 Named values 5,000 5,000 5,000 10,000 18,000 Loggers 100 100 100 200 400 Products 100 100 200 500 2,000 Subscriptions N/A 10,000 15,000 25,000 75,000 Users N/A 20,000 20,000 50,000 75,000 Workspaces per workspace gateway N/A N/A N/A N/A 30 Self-hosted gateways N/A 5 N/A N/A 100 1 1 Applies to Premium tier only. What's changing Limits in the classic tiers now align with those set in the v2 tiers. Limits are enforced for a smaller set of resource types that are directly related to service capacity and performance, such as API operations, tags, products, and subscriptions. Rollout process New limits roll out in a phased approach by tier as follows: Tier Expected rollout date Consumption Developer Basic Basic v2 March 15, 2026 Standard Standard v2 April 15, 2026 Premium Premium v2 May 15, 2026 Limits policy for existing classic tier customers After the new limits take effect, you can continue using your preexisting API Management resources without interruption. Existing classic tier services, where current usage exceeds the new limits, are "grandfathered" when the new limits are introduced. (Instances in the v2 tiers are already subject to the new limits.) Limits in grandfathered services will be set 10% higher than the customer's observed usage at the time new limits take effect. Grandfathering applies per service and service tier. Other existing services and new services are subject to the new limits when they take effect. Guidelines for limit increases In some cases, you might want to increase a service limit. Before requesting a limit increase, note the following guidelines: Explore strategies to address the issue proactively before requesting a limit increase. See the article here Manage resources within limits. Consider potential impacts of the limit increase on overall service performance and stability. Increasing a limit might affect your service's capacity or increase latency in some service operations. Requesting a limit increase The product team considers requests for limit increases only for customers using services in the following tiers that are designed for medium to large production workloads: Standard and Standard v2 Premium and Premium v2 Requests for limit increases are evaluated on a case-by-case basis and aren't guaranteed. The product team prioritizes Premium and Premium v2 tier customers for limit increases. To request a limit increase, create a support request from the Azure portal. For more information, see Azure support plans. Documentation For more information, please see documentation hereHow to cancel a Norton subscription Allow Uniqueness of Glossary Terms across Governance Domains
When glossary terms are created and published, there is no check for the same term name in another governance domain. Some organizations do want to enforce term uniqueness across all domains. Would it be feasible to provide an optional switch in Unified Catalog settings to turn this on?Primer: How to Use RBAC for Applications to Control App Use of the Mail.Send Permission
The temptation to use the Mail.Send application permission in scripts can lead PowerShell developers into trouble because the permission allows access to all mailboxes, including sensitive executive and financial mailboxes. Fortunately, RBAC for Applications allows tenants to control the access that apps have to mailboxes and other Exchange content. All explained here with an example script to test RBAC of Applications. https://office365itpros.com/2026/02/17/mail-send-rbac-for-applications/
Is principalId Always a GUID in Microsoft Graph ??
{ "error": { "code": "Request_BadRequest", "message": "Invalid GUID:HR", "innerError": { "date": "2026-02-13T06:44:24", "request-id": "87678d90-1d94-4131-a705-4356ad3568a4", "client-request-id": "63569c7b-1dea-42d4-8d72-aa3668c78418" } } } We’re encountering an issue with the Microsoft Graph API response for directoryRole Recently, one of our Graph API calls started returning a response where the principalId value appears to be a custom string instead of the expected GUID. In our code, we loop through each id from the delta response, assuming it will always be a valid GUID. However, we are now getting errors because one of the returned principalId values does not match the expected format. Our questions: Is it possible for Microsoft Graph API to return a custom string instead of a GUID for principalId? Has anyone experienced similar behavior with delta queries for directoryRole or any other object? Are there any known scenarios where the principalId format differs from the standard GUID? Any insights would be appreciated.
Slow UI update for deleted events
I've built an integration that continuously syncs events between an external scheduling system and Exchange Online using Microsoft Graph. I'm observing a recurring issue when deleting calendar events via Graph: A DELETE request to Graph returns success (204 No Content). A subsequent GET /events/{id} returns 404, confirming the event is deleted server-side. However, the event continues to appear in the Outlook UI (both Outlook Web and desktop) for an extended period (sometimes hours), even after page reloads or app restarts. The odd behaviour The event is still displayed in the user interface for up to several hours The event persist through page reloads If the user clicks the event it opens briefly and immediately closes, the event disappears from the UI afterward. Additional details Delete endpoint: /users/{id}/events/{id} Graph response: 204 No Content Verified deletion via GET → 404 Reproduces in both Outlook Web and Outlook desktop Questions Is this a known Outlook client caching or calendar view indexing issue? Is there a way to force client reconciliation after deletes? Are there Graph or Exchange constraints around rapid create/update/delete cycles that could cause this UI inconsistency?Introducing native Service Bus message publishing from Azure API Management (Preview)
We’re excited to announce a preview capability in Azure API Management (APIM) — you can now send messages directly to Azure Service Bus from your APIs using a built-in policy. This enhancement, currently in public preview, simplifies how you connect your API layer with event-driven and asynchronous systems, helping you build more scalable, resilient, and loosely coupled architectures across your enterprise. Why this matters? Modern applications increasingly rely on asynchronous communication and event-driven designs. With this new integration: Any API hosted in API Management can publish to Service Bus — no SDKs, custom code, or middleware required. Partners, clients, and IoT devices can send data through standard HTTP calls, even if they don’t support AMQP natively. You stay in full control with authentication, throttling, and logging managed centrally in API Management. Your systems scale more smoothly by decoupling front-end requests from backend processing. How it works The new send-service-bus-message policy allows API Management to forward payloads from API calls directly into Service Bus queues or topics. High-level flow A client sends a standard HTTP request to your API endpoint in API Management. The policy executes and sends the payload as a message to Service Bus. Downstream consumers such as Logic Apps, Azure Functions, or microservices process those messages asynchronously. All configurations happen in API Management — no code changes or new infrastructure are required. Getting started You can try it out in minutes: Set up a Service Bus namespace and create a queue or topic. Enable a managed identity (system-assigned or user-assigned) on your API Management instance. Grant the identity the “Service Bus data sender” role in Azure RBAC, scoped to your queue/ topic. Add the policy to your API operation: <send-service-bus-message queue-name="orders"> <payload>@(context.Request.Body.As<string>())</payload> </send-service-bus-message> Once saved, each API call publishes its payload to the Service Bus queue or topic. 📖 Learn more. Common use cases This capability makes it easy to integrate your APIs into event-driven workflows: Order processing – Queue incoming orders for fulfillment or billing. Event notifications – Trigger internal workflows across multiple applications. Telemetry ingestion – Forward IoT or mobile app data to Service Bus for analytics. Partner integrations – Offer REST-based endpoints for external systems while maintaining policy-based control. Each of these scenarios benefits from simplified integration, centralized governance, and improved reliability. Secure and governed by design The integration uses managed identities for secure communication between API Management and Service Bus — no secrets required. You can further apply enterprise-grade controls: Enforce rate limits, quotas, and authorization through APIM policies. Gain API-level logging and tracing for each message sent. Use Service Bus metrics to monitor downstream processing. Together, these tools help you maintain a consistent security posture across your APIs and messaging layer. Build modern, event-driven architectures With this feature, API Management can serve as a bridge to your event-driven backbone. Start small by queuing a single API’s workload, or extend to enterprise-wide event distribution using topics and subscriptions. You’ll reduce architectural complexity while enabling more flexible, scalable, and decoupled application patterns. Learn more: Get the full walkthrough and examples in the documentation 👉 here
C# MIP SDK v1.17.x - AccessViolationException on creation of MIPContext in 64-bit console app
I first logged this on https://stackoverflow.com/questions/79746967/accessviolationexception-when-creating-mipcontext-after-upgrade-to-v1-17 and the responses there have indicated I should raise with Microsoft a a likely bug, but I don't see a clear route to reporting other than here so any response would be appreciated, even if just to direct me to the appropriate reporting location. I've built a simple console app that demonstrates this issue that I'm happy to provide but we're seeing an issue with the 1.17.x version of the C# MIP SDK where an AccessViolationException is being thrown when trying to create an MIP context object. This is for a .Net Framework 4.8 console app built in 64-bit configuration, deployed to a Windows Server 2016 with the latest VC++ redistributable (14.44.35211) installed (both x86 and x64 versions), though we've seen the same on Windows Server 2019 and 2022. When the same app is built in 32-bit and deployed to the same environment the exception doesn't occur. The following code is what I've used to repro the issue: MIP.Initialize(MipComponent.File); var appInfo = new ApplicationInfo { ApplicationId = string.Empty, ApplicationName = string.Empty, ApplicationVersion = string.Empty }; var diagnosticConfiguration = new DiagnosticConfiguration { IsMinimalTelemetryEnabled = true }; var mipConfiguration = new MipConfiguration(appInfo, "mip_data", LogLevel.Info, false, CacheStorageType.InMemory) { DiagnosticOverride = diagnosticConfiguration }; //Expect BadInputException here due to empty properties of appInfo //When built as part of a 64-bit console app this causes AccessViolationException instead MIP.CreateMipContext(mipConfiguration); The AccessViolationException crashes the console app, with the following logged in the Windows Event Log: Framework Version: v4.0.30319 Description: The process was terminated due to an unhandled exception. Exception Info: System.AccessViolationException at Microsoft.InformationProtection.Internal.SdkWrapperPINVOKE.MipContext_Create__SWIG_1(System.Runtime.InteropServices.HandleRef) at Microsoft.InformationProtection.Internal.MipContext.Create(Microsoft.InformationProtection.Internal.MipConfiguration) at Microsoft.InformationProtection.Utils.MIPHelper.CreateMipContext(Microsoft.InformationProtection.MipConfiguration) The issue doesn't occur with the latest 1.16 version (1.16.149) of the SDK but does appear to be in all versions of the 1.17 release. Library: C# MIP SDK v1.17.x Target App: .Net Framework 4.8 console app Deployed OS: Windows Server 2016, 2019 and 2022 (With .Net Framework 4.8 and latest VC++ redist installed)
