[MS] Azure SDK Release (October 2025) - devamazonaws.blogspot.com

Thank you for your interest in the new Azure SDKs! We release new features, improvements, and bug fixes every month. Subscribe to our Azure SDK Blog RSS Feed to get notified when a new release is available. You can find links to packages, code, and docs on our Azure SDK Releases page.

Release highlights

Azure AI Foundry 1.0.0 for .NET

The first stable release of the Azure AI Foundry library for .NET provides comprehensive access to Azure AI Foundry Project resources. The library enables developers to:
  • Create and run AI Agents
  • Manage AI model deployments
  • Handle connections to Azure resources
  • Upload documents and create datasets
  • Manage search indexes
This release introduces important API improvements with consistent AIProject prefixing for key models (AIProjectDeployment, AIProjectConnection, AIProjectIndex), simplified client access through direct properties on AIProjectClient (replacing individual Get*Client methods), and new convenience CreateOrUpdate methods for index management. The library uses the v1 AI Foundry data plane REST APIs and supports authentication via Microsoft Entra ID for secure, keyless access.

Azure AI Search 12.2.0 for JavaScript

This release adds support for the 2025-09-01 service version with several enhancements including support for running vector queries against sub-fields of complex fields, reranker boosted scores in search results with the ability to sort on either reranker or reranker boosted scores, and improved vector compression configuration through RescoringOptions. The release also introduces LexicalNormalizer support for text analysis, a new DocumentIntelligenceLayoutSkill for skillsets, and OneLake data source connections for indexers.

Azure AI Search 11.6.0 for Python

The Azure AI Search library for Python now supports the 2025-09-01 service version, bringing parity with the JavaScript release. Key features include vector query support for complex field sub-fields, semantic ranking enhancements with reranker boosted scores, vector compression rescoring options, lexical normalizers for improved text processing, and the new DocumentIntelligenceLayoutSkill. The release also adds QueryDebugMode support for detailed vector search debugging information.

Azure Identity libraries

The following Azure Identity libraries received important performance improvements for managed identity scenarios: When environment variable AZURE_TOKEN_CREDENTIALS is set to ManagedIdentityCredential, DefaultAzureCredential now skips the IMDS endpoint probe request and directly attempts token acquisition with full retry logic and exponential backoff.

Initial stable releases

Initial beta releases

Release notes


Post Updated on October 27, 2025 at 06:59PM
Thanks for reading
from devamazonaws.blogspot.com

Comments

Post a Comment

Popular posts from this blog

[MS] Pulling a single item from a C++ parameter pack by its index, remarks - devamazonaws.blogspot.com

In my earlier discussion of pulling a single item from a C++ parameter pack by its index , I noted that with the Pack Indexing proposal, you would be able to write this to pull an item from a parameter pack while preserving its reference category. template<int index, typename...Args> void example(Args&&... args) { auto&& arg = (Args...[index]&&)args...[index]; using Arg = Args...[index]&&; } Why did I need to apply the (Args...[index]&&) cast ? Why can't I just write this: auto&& arg = args...[index]; or possibly decltype(auto) arg = args...[index]; Well, when you write the name of a variable, the result is an lvalue reference, even if the variable is an rvalue reference . Watch: struct S { S(S&); // construct from lvalue S(S&&); // construct from rvalue }; void whathappens(S&& s) { S t = s; // which will it use? } Try it out in your favorite compiler. This code construc...
Read more

[MS] Boosting Azure DevOps Security with GHAS Code Scanning - devamazonaws.blogspot.com

Image
Debjyoti Ganguly shares insights on the security benefits and configuration of GHAS Code Scanning with Azure DevOps. Boosting Azure DevOps Security with GHAS Code Scanning Code scanning, a pipeline-based tool available in GitHub Advanced Security, is designed to detect code vulnerabilities and bugs within the source code of ADO (Azure DevOps) repositories. Utilizing CodeQL as a static analysis tool, it performs query analysis and variant analysis. When vulnerabilities are found, it generates security alerts. CodeQL CodeQL is a powerful static analysis tool used for showing vulnerabilities and bugs in source code. It enables developers to write custom queries that analyze codebases, searching for specific patterns and potential security issues. By converting code into a database format, CodeQL allows for sophisticated, database-like queries to detect flaws. CodeQL in Action 1. Preparing the Code Create a CodeQL Database : Extract and structure the code into a database for analy...
Read more

[MS] Going beyond the empty set: Embracing the power of other empty things - devamazonaws.blogspot.com

The empty set contains nothing. This sounds really silly, but it's actually really nice. The Windows Runtime has a policy that if a method returns a collection (such as an IVector ), and the method produces no results, then it should return an empty collection, rather than a null reference . That way, consumers can just iterate over the collection without having to deal with a null test. For example, suppose you have a method Widget:: Get­Associated­Doodads which returns an IVectorView<Doodad> representing the Doodad objects that have been associated with a Widget object. If no Doodad s have been associated with the Widget , then it should return an empty vector, not a null pointer. That allows developers to write the natural-looking code: // C# foreach (var doodad in widget.GetAssociatedDoodads()) { ⟦ process each doodad ⟧ } // C++/WinRT for (auto&& doodad : widget.GetAssociatedDoodads()) { ⟦ process each doodad ⟧ } // JavaScript widget.GetAssociated...
Read more