Skill UI

High-level .NET SDK for Azure AI Foundry projects. Manage agents, connections, datasets, deployments, evaluations, and indexes in C# applications.

Azure AI Projects SDK for Java provides high-level APIs for managing Azure AI Foundry projects, including connections, datasets, indexes, and evaluations. It simplifies integration with Azure AI services through a fluent Java client builder.

Build AI applications on Microsoft Foundry using the azure-ai-projects SDK. Covers installation, authentication, client operations, agent creation with tools, versioned agents, thread and message flow, connections, deployments, datasets, indexes, evaluations, and async usage.

High-level TypeScript SDK for Azure AI Foundry projects, enabling management of agents, connections, deployments, datasets, indexes, and evaluations with integrated OpenAI client support.

This Java SDK enables centralized management of application configurations in Azure App Configuration. It supports key-value settings, feature flags, and snapshots. Developers can use it to create, update, delete, and retrieve configuration settings securely using connection strings or Entra ID credentials. Ideal for Java applications requiring dynamic configuration management.

This Python SDK enables centralized configuration management, feature flags, and dynamic settings for Azure App Configuration. It supports authentication via connection strings or Entra ID, allows environment-specific settings using labels, and provides operations for setting, getting, deleting, and listing configurations. Includes feature flag management, read-only locks, snapshots for rollback, and async client support for scalable applications.

Configure Azure Pipelines for CI/CD workflows, build, test, and deploy applications using YAML. Manage service connections, triggers, stages, and templates for automated cloud deployments.

Build real-time web applications with Azure Web PubSub SDK for Java, covering WebSocket messaging, live updates, chat, and server-to-client push notifications using hubs, groups, and connections.

Use the Azure Web PubSub Service SDK for Python to build scalable real-time messaging over WebSocket connections, covering access tokens, group and user broadcasting, connection management, and async clients.

This .NET SDK enables developers to manage Azure Application Insights resources for application performance monitoring and observability. It supports creating components, retrieving connection strings, generating API keys, and configuring availability tests via C# code. Ideal for DevOps and backend development workflows involving cloud monitoring.

Management plane SDK for provisioning and managing Azure Bot Service resources in .NET. Create bots, configure channels (DirectLine, Teams, WebChat), handle connections, and manage bot lifecycle via Azure Resource Manager.

Manage Azure Bot Service resources using Python SDK. Create, configure, and manage bots, channels, and connections. Supports authentication with Azure Identity.