The Azure SDK team is pleased to announce our November 2025 client library releases.

66 packages released this month.

Stable Packages (25)

  • AI Evaluation

  • App Configuration Provider

  • Communication Email

  • Core - Client - Core

  • Cosmos DB

  • Machine Learning

  • Resource Management - Cognitive Services

  • Resource Management - Container Apps

  • Resource Management - Container Service

  • Resource Management - Cosmos DB

  • Resource Management - Device Registry

  • Resource Management - Managed Grafana

  • Resource Management - Mongo Cluster

  • Resource Management - NetApp Files

  • Resource Management - Network

  • Resource Management - Oracle Database

  • Resource Management - Recovery Services

  • Resource Management - Recovery Services Backup

  • Resource Management - Redis Enterprise

  • Resource Management - Storage

  • Storage - Blobs

  • Storage - Files Data Lake

  • Storage - Files Share

  • Storage - Queues

  • Voice Live

Patch Updates (10)

  • AI Evaluation

  • App Configuration

  • App Configuration Provider

  • Azure Monitor OpenTelemetry

  • Cosmos DB

  • Event Hubs

  • Service Bus

  • Storage - Blobs

  • Storage - Files Share

  • Storage - Queues

Beta Packages (21)

  • AI Agents

  • AI Projects

  • Azure AI Search

  • Azure Remote Rendering

  • Confidential Ledger

  • Conversational Language Understanding

  • Identity

  • Microsoft Planetary Microsoft Pro

  • OpenTelemetry Exporter

  • Question Answering

  • Resource Management - Container Registry

  • Resource Management - Container Service

  • Resource Management - HDInsight

  • Resource Management - HDInsight Containers

  • Resource Management - IoT Hub

  • Resource Management - NetApp Files

  • Resource Management - Recoveryservicesbackup-Passivestamp

  • Resource Management - Service Fabric Managed Clusters

  • Text Analytics

  • Voice Live

  • unknown

Release highlights

AI Agents 1.2.0b6 Changelog

Bugs Fixed

  • Fix missing await in calls to asynchronous Agent methods, when AIAgentsInstrumentor().instrument() is called but no tracer is configured

AI Evaluation 1.13.6 Changelog

Features Added

  • Updated IndirectAttack risk category for RedTeam to IndirectJailbreak to better reflect its purpose. This change allows users to apply cross-domain prompt injection (XPIA) attack strategies across all risk categories, enabling more comprehensive security testing of AI systems against indirect prompt injection attacks during red teaming.
  • Added TaskAdherence, SensitiveDataLeakage, and ProhibitedActions as cloud-only agent safety risk categories for red teaming.
  • Updated all evaluators’ output to be of the following schema:
  • gpt_{evaluator_name}, {evaluator_name}: float score,
  • {evaluator_name}_result: pass/fail based on threshold,
  • {evaluator_name}_reason, {evaluator_name}_threshold
  • {evaluator_name}_prompt_tokens, {evaluator_name}_completion_tokens, {evaluator_name}_total_tokens, {evaluator_name}_finish_reason
  • {evaluator_name}_model: model used for evaluation

  • {evaluator_name}_sample_input, {evaluator_name}_sample_output: input and output used for evaluation This change standardizes the output format across all evaluators and follows OTel convention.

  • Improved RedTeam coverage across risk sub-categories to ensure comprehensive security testing
  • Made RedTeam’s AttackStrategy.Tense seed prompts dynamic to allow use of this strategy with additional risk categories
  • Refactors error handling and result semantics in the RedTeam evaluation system to improve clarity and align with Attack Success Rate (ASR) conventions (passed=False means attack success)

Bugs Fixed

  • image_tag parameter in AzureOpenAIPythonGrader is now optional.
  • Fixed RedTeam evaluation error related to context handling for context-dependent risk categories
  • Fixed RedTeam prompt application for model targets during Indirect Jailbreak XPIA (Cross-Platform Indirect Attack)
  • Added App Insights redaction for agent safety run telemetry so adversarial prompts are not stored in collected logs.
  • Handle input data for evaluation result when evaluators.
  • TaskAdherenceEvaluator: treat tool definitions as optional so evaluations with only query/response inputs no longer raise “Either ‘conversation’ or individual inputs must be provided.”
  • Added detection and retry handling for network errors wrapped in generic exceptions with “Error sending prompt with conversation ID” message
  • Fix results for ungrounded_attributes
  • score_mode grader improvements
  • fix for Red Team to ensure hate/unfairness evaluation rows populate when OneDP sync evaluators report results under the hate_unfairness metric name.

Other Changes

  • Added scenario property to red team evaluation request to align scores with red team concepts of attack success.

AI Evaluation 1.13.5 Changelog

Bugs Fixed

  • TaskAdherenceEvaluator: treat tool definitions as optional so evaluations with only query/response inputs no longer raise “Either ‘conversation’ or individual inputs must be provided.”

AI Evaluation 1.13.4 Changelog

Bugs Fixed

  • Handle input data for evaluation result when evaluators.

AI Evaluation 1.13.3 Changelog

Other Changes

  • Added scenario property to red team evaluation request to align scores with red team concepts of attack success.

AI Evaluation 1.13.2 Changelog

Bugs Fixed

  • Added App Insights redaction for agent safety run telemetry so adversarial prompts are not stored in collected logs.

AI Evaluation 1.13.1 Changelog

Bugs Fixed

  • Fixed RedTeam evaluation error related to context handling for context-dependent risk categories
  • Fixed RedTeam prompt application for model targets during Indirect Jailbreak XPIA (Cross-Platform Indirect Attack)

Features Added

  • Improved RedTeam coverage across risk sub-categories to ensure comprehensive security testing
  • Made RedTeam’s AttackStrategy.Tense seed prompts dynamic to allow use of this strategy with additional risk categories
  • Refactors error handling and result semantics in the RedTeam evaluation system to improve clarity and align with Attack Success Rate (ASR) conventions (passed=False means attack success)

AI Evaluation 1.13.0 Changelog

Bugs Fixed

  • image_tag parameter in AzureOpenAIPythonGrader is now optional.

Features Added

  • Updated IndirectAttack risk category for RedTeam to IndirectJailbreak to better reflect its purpose. This change allows users to apply cross-domain prompt injection (XPIA) attack strategies across all risk categories, enabling more comprehensive security testing of AI systems against indirect prompt injection attacks during red teaming.
  • Added TaskAdherence, SensitiveDataLeakage, and ProhibitedActions as cloud-only agent safety risk categories for red teaming.
  • Updated all evaluators’ output to be of the following schema:
  • gpt_{evaluator_name}, {evaluator_name}: float score,
  • {evaluator_name}_result: pass/fail based on threshold,
  • {evaluator_name}_reason, {evaluator_name}_threshold
  • {evaluator_name}_prompt_tokens, {evaluator_name}_completion_tokens, {evaluator_name}_total_tokens, {evaluator_name}_finish_reason
  • {evaluator_name}_model: model used for evaluation
  • {evaluator_name}_sample_input, {evaluator_name}_sample_output: input and output used for evaluation

This change standardizes the output format across all evaluators and follows OTel convention.

AI Projects 2.0.0b1 Changelog

Features added

  • The client library now uses version 2025-11-15-preview of the Microsoft Foundry data plane REST APIs.
  • New Agent operations (now built on top of OpenAI’s Responses protocol) were added to the AIProjectClient. This package no longer depends on azure-ai-agents package. See samples\agents folder.
  • New Evaluation operations. See methods on properties .evaluation_rules, .evaluation_taxonomies, .evaluators, .insights, and .schedules.
  • New Memory Store operations. See methods on the property .memory_store.

Breaking changes

  • The implementation of .get_openai_client() method was updated to return an authenticated OpenAI client from the openai package, configure to run Responses operations on your Foundry Project endpoint.

App Configuration 1.7.2 Changelog

Bugs Fixed

  • Fixed a bug where non-HTTPS endpoints would not function correctly.

App Configuration Provider 2.3.1 Changelog

Bugs Fixed

  • Fixed a bug where feature flags were using the configuration refresh timer instead of the feature flag refresh timer.
  • When loading duplicate configurations only the priority configuration will be processed.
  • Fixed a bug where calling the refresh method would always trigger it.

Features Added

  • Added support for Azure App Configuration Snapshots, SettingSelector now has a snapshot_name parameter.
  • Added support for forced refresh of configurations when using Key Vault references. Adds secret_refresh_interval to the AzureAppConfigurationProvider load method. This allows the provider to refresh Key Vault secrets at a specified interval. Is set to 60 seconds by default, and can only be set if using Key Vault references.
  • Added support for async on_refresh_success.
  • Added support for Configuration Setting Mapping, new configuration_mapper parameter to the load method, allows for a callback to be added to modify configurations.

App Configuration Provider 2.3.0 Changelog

Bugs Fixed

  • Fixed a bug where feature flags were using the configuration refresh timer instead of the feature flag refresh timer.
  • When loading duplicate configurations only the priority configuration will be processed.

Features Added

  • Added support for Azure App Configuration Snapshots, SettingSelector now has a snapshot_name parameter.
  • Added support for forced refresh of configurations when using Key Vault references. Adds secret_refresh_interval to the AzureAppConfigurationProvider load method. This allows the provider to refresh Key Vault secrets at a specified interval. Is set to 60 seconds by default, and can only be set if using Key Vault references.
  • Added support for async on_refresh_success.
  • Added support for Configuration Setting Mapping, new configuration_mapper parameter to the load method, allows for a callback to be added to modify configurations.

Azure AI Search 11.7.0b2 Changelog

Breaking Changes

These changes apply to the latest preview release only and do not affect generally available versions.

  • Knowledge base naming and routing refresh:
  • Renamed the knowledge agent surface area to the knowledge base equivalents:
  • azure.search.documents.indexes.models.KnowledgeAgent -> azure.search.documents.indexes.models.KnowledgeBase
  • azure.search.documents.indexes.models.KnowledgeAgentAzureOpenAIModel -> azure.search.documents.indexes.models.KnowledgeBaseAzureOpenAIModel
  • azure.search.documents.indexes.models.KnowledgeAgentModel -> azure.search.documents.indexes.models.KnowledgeBaseModel
  • azure.search.documents.indexes.models.KnowledgeAgentModelKind -> azure.search.documents.indexes.models.KnowledgeBaseModelKind
  • Knowledge base clients now target /knowledgebases REST routes and accept knowledge_base_name instead of the agent name parameter.
  • Replaced azure.search.documents.indexes.models.KnowledgeAgentOutputConfiguration with azure.search.documents.indexes.models.KnowledgeBase.output_mode.
  • Replaced azure.search.documents.indexes.models.KnowledgeAgentOutputConfigurationModality with azure.search.documents.indexes.models.KnowledgeRetrievalOutputMode.
  • Removed azure.search.documents.indexes.models.KnowledgeAgentRequestLimits; callers should apply request guardrails at the service level.
  • Knowledge source parameterization updates:
  • Updated azure.search.documents.indexes.models.AzureBlobKnowledgeSourceParameters to use azure.search.documents.indexes.models.KnowledgeSourceIngestionParameters, replacing the previous identity, embedding_model, chat_completion_model, ingestion_schedule, and disable_image_verbalization properties with the new is_adls_gen2 and ingestion_parameters shape.
  • Updated azure.search.documents.indexes.models.KnowledgeSourceReference to carry only the source name, moving the include_references, include_reference_source_data, always_query_source, max_sub_queries, and reranker_threshold options onto the concrete parameter types.
  • Compression configuration cleanup:
  • Removed the default_oversampling property from azure.search.documents.indexes.models.BinaryQuantizationCompression, azure.search.documents.indexes.models.ScalarQuantizationCompression, and azure.search.documents.indexes.models.VectorSearchCompression.
  • Removed the rerank_with_original_vectors property from azure.search.documents.indexes.models.BinaryQuantizationCompression, azure.search.documents.indexes.models.ScalarQuantizationCompression, and azure.search.documents.indexes.models.VectorSearchCompression.
  • Knowledge source parameter field realignment:
  • Replaced azure.search.documents.indexes.models.SearchIndexKnowledgeSourceParameters.source_data_select with azure.search.documents.indexes.models.SearchIndexKnowledgeSourceParameters.source_data_fields.
  • Added azure.search.documents.indexes.models.SearchIndexKnowledgeSourceParameters.search_fields for field mapping.
  • Added optional azure.search.documents.indexes.models.SearchIndexKnowledgeSourceParameters.semantic_configuration_name.

Features Added

  • Added new models:
  • azure.search.documents.indexes.models.AIServices
  • azure.search.documents.indexes.models.CompletedSynchronizationState
  • azure.search.documents.indexes.models.ContentUnderstandingSkill
  • azure.search.documents.indexes.models.ContentUnderstandingSkillChunkingProperties
  • azure.search.documents.indexes.models.ContentUnderstandingSkillChunkingUnit
  • azure.search.documents.indexes.models.ContentUnderstandingSkillExtractionOptions
  • azure.search.documents.indexes.models.IndexedOneLakeKnowledgeSource
  • azure.search.documents.indexes.models.IndexedOneLakeKnowledgeSourceParameters
  • azure.search.documents.indexes.models.IndexedSharePointContainerName
  • azure.search.documents.indexes.models.IndexedSharePointKnowledgeSource
  • azure.search.documents.indexes.models.IndexedSharePointKnowledgeSourceParameters
  • azure.search.documents.indexes.models.IndexerRuntime
  • azure.search.documents.indexes.models.KnowledgeRetrievalLowReasoningEffort
  • azure.search.documents.indexes.models.KnowledgeRetrievalMediumReasoningEffort
  • azure.search.documents.indexes.models.KnowledgeRetrievalMinimalReasoningEffort
  • azure.search.documents.indexes.models.KnowledgeRetrievalOutputMode
  • azure.search.documents.indexes.models.KnowledgeRetrievalReasoningEffort
  • azure.search.documents.indexes.models.KnowledgeRetrievalReasoningEffortKind
  • azure.search.documents.indexes.models.KnowledgeSourceAzureOpenAIVectorizer
  • azure.search.documents.indexes.models.KnowledgeSourceContentExtractionMode
  • azure.search.documents.indexes.models.KnowledgeSourceIngestionParameters
  • azure.search.documents.indexes.models.KnowledgeSourceIngestionPermissionOption
  • azure.search.documents.indexes.models.KnowledgeSourceStatistics
  • azure.search.documents.indexes.models.KnowledgeSourceStatus
  • azure.search.documents.indexes.models.KnowledgeSourceSynchronizationStatus
  • azure.search.documents.indexes.models.KnowledgeSourceVectorizer
  • azure.search.documents.indexes.models.RemoteSharePointKnowledgeSource
  • azure.search.documents.indexes.models.RemoteSharePointKnowledgeSourceParameters
  • azure.search.documents.indexes.models.SearchIndexFieldReference
  • azure.search.documents.indexes.models.ServiceIndexersRuntime
  • azure.search.documents.indexes.models.SynchronizationState
  • azure.search.documents.indexes.models.WebKnowledgeSource
  • azure.search.documents.indexes.models.WebKnowledgeSourceDomain
  • azure.search.documents.indexes.models.WebKnowledgeSourceDomains

  • azure.search.documents.indexes.models.WebKnowledgeSourceParameters

  • Expanded existing models and enums:
  • Added support for avg, min, max, and cardinality metrics on azure.search.documents.models.FacetResult.
  • Added is_adls_gen2 and ingestion_parameters options on azure.search.documents.indexes.models.AzureBlobKnowledgeSourceParameters.
  • Added support for gpt-5, gpt-5-mini, and gpt-5-nano values on azure.search.documents.indexes.models.AzureOpenAIModelName.
  • Added support for web, remoteSharePoint, indexedSharePoint, and indexedOneLake values on azure.search.documents.indexes.models.KnowledgeSourceKind.
  • Added support for onelake and sharepoint values on azure.search.documents.indexes.models.SearchIndexerDataSourceConnection.type.
  • Added azure.search.documents.indexes.models.SearchField.sensitivity_label.
  • Added azure.search.documents.indexes.models.SearchIndexerStatus.runtime.
  • Added azure.search.documents.indexes.models.SearchIndex.purview_enabled.
  • Added azure.search.documents.indexes.models.SearchServiceLimits.max_cumulative_indexer_runtime_seconds.
  • Added azure.search.documents.indexes.models.SearchServiceStatistics.indexers_runtime.
  • Added product aggregation support to azure.search.documents.indexes.models.ScoringFunctionAggregation.
  • Added share_point to azure.search.documents.indexes.models.SearchIndexerDataSourceType.
  • Added include_references, include_reference_source_data, always_query_source, and reranker_threshold options on azure.search.documents.knowledgebases.models.SearchIndexKnowledgeSourceParams.

  • Added error tracking details on azure.search.documents.knowledgebases.models.KnowledgeBaseActivityRecord derivatives.

  • Client and service enhancements:
  • Added support for HTTP 206 partial content responses when calling azure.search.documents.knowledgebases.KnowledgeBaseRetrievalClient.knowledge_retrieval.retrieve.
  • Added optional x_ms_enable_elevated_read keyword to azure.search.documents.SearchClient.search and azure.search.documents.aio.SearchClient.search for elevated document reads.

Azure Monitor OpenTelemetry 1.8.2 Changelog

Bugs Fixed

  • Fix detector version (#43044)
  • Fix spelling for OTEL_PYTHON_EXCLUDED_URLS in samples (#43141)

Features Added

  • Add trace_based_sampling logger parameters to filter logs (#43811)
  • Performance Counters (#43262)
  • Adding more diagnostic log message IDs (#43183)
  • Enable Azure AI Project instrumentation (#43869)

Azure Remote Rendering 1.0.0b3 Changelog

Other Changes

  • This package has been deprecated and will no longer be maintained after 10-01-2025. This package will only receive security fixes until 10-01-2025.

Communication Email 1.1.0 Changelog

Features Added

  • Consumers can now provide a value for the contentId property when sending emails with attachments. This allows consumers to reference attachments in the email body using the cid scheme. The contentId property can be set on the EmailAttachment object.
  • EmailClient.begin_send now supports an optional operation_id parameter.

Confidential Ledger 2.0.0b1 Changelog

Features Added

  • Added models.

Breaking Changes

  • Changed the input parameter on create_user_defined_role from a list of roles to a Roles model.
  • Changed the input parameter on update_user_defined_role from a list of roles to a Roles model.
  • get_user_defined_role() returns a Roles model instead of a list of roles.
  • Removed the azure.confidentialledger.certificate namespace and the ConfidentialLedgerCertificateClient (see the azure-confidentialledger-certificate package to access client).

Conversational Language Understanding 2.0.0b2 Changelog

Features Added

  • Added new PII categories: DriversLicenseNumber, PassportNumber, PersonType, Organization, ABARoutingNumber, BankAccountNumber, DateOfBirth, InternationalBankingAccountNumber, SWIFTCode, VehicleIdentificationNumber, Age, Date, ZipCode, GovernmentIssuedId, CVV, HealthCardNumber, CASocialInsuranceNumber, USMedicareBeneficiaryId, GithubAccount, Location, and GPE.

Core - Client - Core 1.36.0 Changelog

Bugs Fixed

  • Fixed repeated import attempts of cchardet and chardet when charset_normalizer is used #43092

Features Added

  • Added TypeHandlerRegistry to azure.core.serialization to allow developers to register custom serializers and deserializers for specific types or conditions. #43051

Cosmos DB 4.14.1 Changelog

Bugs Fixed

  • Fixed bug where exclusion list was not honored before falling back to global endpoint for multi-write region accounts. See PR 43297
  • Fixed bug where queries using feed_range and continuation options would not work as expected. See PR 43700.

Breaking Changes

  • Changed retry_write from bool to int to match other retryable options. See PR 43341.

Features Added

  • Added ability to return a tuple of a DatabaseProxy/ContainerProxy with the associated database/container properties when creating or reading databases/containers through return_properties parameter. See PR 41742
  • Added a new preview feature API for Semantic Reranking. See PR 42991

Cosmos DB 4.14.0 Changelog

Breaking Changes

  • Changed retry_write from bool to int to match other retryable options. See PR 43341.

Bugs Fixed

  • Fixed bug where exclusion list was not honored before falling back to global endpoint for multi-write region accounts. SeePR 43297

Features Added

  • Added ability to return a tuple of a DatabaseProxy/ContainerProxy with the associated database/container properties when creating or reading databases/containers through return_properties parameter. See PR 41742
  • Added a new preview feature API for Semantic Reranking. See PR 42991

Event Hubs 5.15.1 Changelog

Bugs Fixed

  • Fixed a bug in the EventHub client where the maximum message size negotiation during the AMQP attach frame was handled incorrectly. The client now correctly sends a max message size of 0 (unlimited), allowing the server to apply its internal limit (20 MB) as intended. (#43462)

Identity 1.26.0b1 Changelog

Features Added

  • Added support for WorkloadIdentityCredential identity binding mode in AKS environments. This feature addresses Entra’s limitation on the number of federated identity credentials (FICs) per managed identity by utilizing an AKS proxy that handles FIC exchanges on behalf of pods. (#43287)

Machine Learning 1.30.0 Changelog

Features Added

  • Removed the dependencies - msrest and six
  • Added support for Deployment Templates along with the following operations:
  • ml_client.deployment_templates.create_or_update()
  • ml_client.deployment_templates.list()
  • ml_client.deployment_templates.get()
  • ml_client.deployment_templates.archive()
  • ml_client.deployment_templates.restore()

Microsoft Planetary Microsoft Pro 1.0.0b1 Changelog

  • Initial version

Other Changes

  • Introduce azure-planetarycomputer.

OpenTelemetry Exporter 1.0.0b45 Changelog

Bugs Fixed

  • Fixed issue where AAD authentication for Live Metrics failed for users in sovereign cloud environments (#43392)
  • Modified logic for message body on Microsoft.ApplicationInsights.MessageData to include default message for messages with empty body and export logs (#43091)

Features Added

  • Added new log record processor to support Trace Based Sampling (#43811)
  • Added Operation Name Propagation for Dependencies and Logs (#43588)
  • Added local storage support for multiple users on the same Linux system (#43483)

OpenTelemetry Exporter 1.0.0b44 Changelog

Bugs Fixed

  • Fixed issue where AAD authentication for Live Metrics failed for users in sovereign cloud environments (#43392)

Question Answering 2.0.0b1 Changelog

Breaking Changes

  • Authoring functionality (project creation, knowledge source management, deployment operations) has been removed from this package and moved to a separate dedicated authoring package / namespace. All references to AuthoringClient, and related authoring operations have been eliminated from the runtime client distribution.
  • Dropped support for Python versions earlier than 3.9 (aligns with Azure SDK Python support policy going forward).
  • Model base class change: all public model types now inherit from MutableMapping[str, Any] (dict-like) instead of the previous Model base class. As a result they now support standard mutable mapping behavior (key iteration, item assignment, etc.) and any code depending on methods/properties inherited from the old base class should be reviewed/updated.
  • Removed client constructor keyword argument default_language. Per-call language control is now done explicitly via the language property on AnswersFromTextOptions (and related options models). The service default remains "en" if a language is not supplied. To change the effective language:
  • Pass language="<bcp-47-code>" when constructing AnswersFromTextOptions (e.g. "es", "zh-Hans").
  • Or create / select a project in the desired language in Language Studio when authoring knowledge bases.

The previous implicit fallback (client-level default_language) has been removed to avoid hidden state and to encourage explicit specification or project-level configuration.

  • Removed support for passing metadata as Dict[str,str] to MetadataFilter. Tuple form [("key","value"), ...] and List[MetadataRecord] remain supported.

Features Added

  • Documentation improvements: expanded README with authentication guidance, AAD usage, async examples, and troubleshooting section.

Resource Management - Cognitive Services 14.1.0 Changelog

Resource Management - Container Apps 4.0.0 Changelog

Resource Management - Container Registry 14.1.0b3 Changelog

Resource Management - Container Service 40.1.0 Changelog

Resource Management - Container Service 41.0.0b1 Changelog

Resource Management - Cosmos DB 9.9.0 Changelog

Resource Management - Device Registry 1.1.0 Changelog

Resource Management - HDInsight 9.1.0b2 Changelog

Resource Management - HDInsight Containers 1.0.0b4 Changelog

Resource Management - IoT Hub 5.0.0b2 Changelog

Resource Management - Managed Grafana 2.0.0 Changelog

Resource Management - Mongo Cluster 1.1.0 Changelog

Resource Management - NetApp Files 14.0.0 Changelog

Resource Management - NetApp Files 14.0.0b4 Changelog

Resource Management - Network 30.0.0 Changelog

Resource Management - Oracle Database 3.0.0 Changelog

Resource Management - Recovery Services 4.0.0 Changelog

Resource Management - Recovery Services Backup 10.0.0 Changelog

Resource Management - Recoveryservicesbackup-Passivestamp 1.0.0b1 Changelog

Resource Management - Redis Enterprise 3.1.0 Changelog

Resource Management - Service Fabric Managed Clusters 2.1.0b4 Changelog

Resource Management - Storage 24.0.0 Changelog

Service Bus 7.14.3 Changelog

Bugs Fixed

  • Fixed a bug where batched messages couldn’t be sent to a queue that had session & partitions enabled. (#42598)
  • Fixed a bug in the Service Bus client where the maximum message size negotiation during the AMQP attach frame was handled incorrectly. The client now correctly sends a max message size of 0 (unlimited), allowing the server to apply its internal limit as intended. (#43383)

Storage - Blobs 12.27.1 Changelog

Features Added

  • Stable release of features from 12.27.0b1

Bugs Fixed

  • Fixed MyPy attr-defined errors for BlobClient.

Storage - Blobs 12.27.0 Changelog

Features Added

  • Stable release of features from 12.27.0b1

Storage - Files Data Lake 12.22.0 Changelog

Features Added

  • Stable release of features from 12.22.0b1

Storage - Files Share 12.23.1 Changelog

Bugs Fixed

  • Fixed an issue where ShareClient’s list_directories_and_files API specified with name_starts_with would not return all results when the share contains a large number of files and directories.
  • Removed __enter__ and __exit__ attributes for all asynchronous client objects for raising explicit TypeError, and let the AttributeError raise directly.
  • Fixed MyPy attr-defined errors for ShareClient, ShareDirectoryClient, and ShareFileClient.

Features Added

  • Stable release of features from 12.23.0b1

Storage - Files Share 12.23.0 Changelog

Bugs Fixed

  • Fixed an issue where ShareClient’s list_directories_and_files API specified with name_starts_with would not return all results when the share contains a large number of files and directories.
  • Removed __enter__ and __exit__ attributes for all asynchronous client objects for raising explicit TypeError, and let the AttributeError raise directly.

Features Added

  • Stable release of features from 12.23.0b1

Storage - Queues 12.14.1 Changelog

Features Added

  • Stable release of features from 12.14.0b1

Bugs Fixed

  • Fixed MyPy attr-defined errors for QueueClient.

Storage - Queues 12.14.0 Changelog

Features Added

  • Stable release of features from 12.14.0b1

Text Analytics 6.0.0b2 Changelog

Voice Live 1.1.0 Changelog

Features Added

  • Added support for Agent configuration through the new AgentConfig model
  • Added agent field to ResponseSession model to support agent-based conversations
  • The AgentConfig model includes properties for agent type, name, description, agent_id, and thread_id

Voice Live 1.2.0b1 Changelog

Features Added

  • MCP (Model Context Protocol) Support: Added comprehensive support for Model Context Protocol integration:
  • MCPServer tool type for defining MCP server configurations with authorization, headers, and approval requirements
  • MCPTool model for representing MCP tool definitions with input schemas and annotations
  • MCPApprovalType enum for controlling approval workflows (never, always, or tool-specific)
  • New item types: MCPApprovalResponseRequestItem, ResponseMCPApprovalRequestItem, ResponseMCPApprovalResponseItem, ResponseMCPCallItem, and ResponseMCPListToolItem
  • New server events: ServerEventMcpListToolsInProgress, ServerEventMcpListToolsCompleted, ServerEventMcpListToolsFailed, ServerEventResponseMcpCallArgumentsDelta, and ServerEventResponseMcpCallArgumentsDone
  • Client event MCP_APPROVAL_RESPONSE for responding to approval requests
  • Enhanced ItemType enum with MCP-related types: mcp_list_tools, mcp_call, mcp_approval_request, and mcp_approval_response

unknown 1.0.0b1 Changelog

Other Changes

  • Initial version

unknown 1.0.0b4 Changelog

Features Added

  • First version

Bugs Fixed

  • Fixed Id generator format.
  • Improved stream mode error messsage.
  • Updated application insights related configuration environment variables.
  • Fixed trace initialization for agent-framework.
  • Pin azure-ai-projects and azure-ai-agents version to avoid version confliction

unknown 1.0.0b3 Changelog

Bugs Fixed

  • Fixed Id generator format.

  • Fixed trace initialization for agent-framework.

unknown 1.0.0b2 Changelog

Bugs Fixed

  • Fixed Id generator format.

  • Improved stream mode error messsage.

  • Updated application insights related configuration environment variables.

unknown 1.0.0b1 Changelog

Features Added

First version

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View all the latest versions of Python packages here.

Installation Instructions

To install the latest beta version of the packages, copy and paste the following commands into a terminal:

$> pip install azure-ai-agents==1.2.0b6
$> pip install azure-ai-agentserver-core==1.0.0b4
$> pip install azure-ai-agentserver-core==1.0.0b3
$> pip install azure-ai-agentserver-core==1.0.0b2
$> pip install azure-ai-agentserver-core==1.0.0b1
$> pip install azure-ai-evaluation==1.13.6
$> pip install azure-ai-evaluation==1.13.5
$> pip install azure-ai-evaluation==1.13.4
$> pip install azure-ai-evaluation==1.13.3
$> pip install azure-ai-evaluation==1.13.2
$> pip install azure-ai-evaluation==1.13.1
$> pip install azure-ai-evaluation==1.13.0
$> pip install azure-ai-language-conversations==2.0.0b2
$> pip install azure-ai-language-questionanswering==2.0.0b1
$> pip install azure-ai-ml==1.30.0
$> pip install azure-ai-projects==2.0.0b1
$> pip install azure-ai-textanalytics==6.0.0b2
$> pip install azure-ai-voicelive==1.1.0
$> pip install azure-ai-voicelive==1.2.0b1
$> pip install azure-appconfiguration==1.7.2
$> pip install azure-appconfiguration-provider==2.3.1
$> pip install azure-appconfiguration-provider==2.3.0
$> pip install azure-communication-email==1.1.0
$> pip install azure-confidentialledger==2.0.0b1
$> pip install azure-confidentialledger-certificate==1.0.0b1
$> pip install azure-core==1.36.0
$> pip install azure-cosmos==4.14.1
$> pip install azure-cosmos==4.14.0
$> pip install azure-eventhub==5.15.1
$> pip install azure-identity==1.26.0b1
$> pip install azure-mgmt-appcontainers==4.0.0
$> pip install azure-mgmt-cognitiveservices==14.1.0
$> pip install azure-mgmt-containerregistry==14.1.0b3
$> pip install azure-mgmt-containerservice==40.1.0
$> pip install azure-mgmt-containerservice==41.0.0b1
$> pip install azure-mgmt-cosmosdb==9.9.0
$> pip install azure-mgmt-dashboard==2.0.0
$> pip install azure-mgmt-deviceregistry==1.1.0
$> pip install azure-mgmt-hdinsight==9.1.0b2
$> pip install azure-mgmt-hdinsightcontainers==1.0.0b4
$> pip install azure-mgmt-iothub==5.0.0b2
$> pip install azure-mgmt-mongocluster==1.1.0
$> pip install azure-mgmt-netapp==14.0.0
$> pip install azure-mgmt-netapp==14.0.0b4
$> pip install azure-mgmt-network==30.0.0
$> pip install azure-mgmt-oracledatabase==3.0.0
$> pip install azure-mgmt-recoveryservices==4.0.0
$> pip install azure-mgmt-recoveryservicesbackup==10.0.0
$> pip install azure-mgmt-recoveryservicesbackup-passivestamp==1.0.0b1
$> pip install azure-mgmt-redisenterprise==3.1.0
$> pip install azure-mgmt-servicefabricmanagedclusters==2.1.0b4
$> pip install azure-mgmt-storage==24.0.0
$> pip install azure-mixedreality-remoterendering==1.0.0b3
$> pip install azure-monitor-opentelemetry==1.8.2
$> pip install azure-monitor-opentelemetry-exporter==1.0.0b45
$> pip install azure-monitor-opentelemetry-exporter==1.0.0b44
$> pip install azure-planetarycomputer==1.0.0b1
$> pip install azure-search-documents==11.7.0b2
$> pip install azure-servicebus==7.14.3
$> pip install azure-storage-blob==12.27.1
$> pip install azure-storage-blob==12.27.0
$> pip install azure-storage-file-datalake==12.22.0
$> pip install azure-storage-file-share==12.23.1
$> pip install azure-storage-file-share==12.23.0
$> pip install azure-storage-queue==12.14.1
$> pip install azure-storage-queue==12.14.0

Feedback

If you have a bug or feature request for one of the libraries, please post an issue to GitHub.