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A comprehensive, low-level Software Development Kit (SDK) for building and managing stateful AI Agents within the Azure AI ecosystem using .NET. This SDK provides core clients for managing agent lifecycles, persistent conversation threads, message history, complex run execution, tool/function calling, and integrating file search through vector stores. It is essential for developing enterprise-grade, multi-turn conversational AI applications.

A comprehensive, low-level Software Development Kit (SDK) for building and managing stateful AI Agents within the Azure AI ecosystem using .NET. This SDK provides core clients for managing agent lifecycles, persistent conversation threads, message history, complex run execution, tool/function calling, and integrating file search through vector stores. It is essential for developing enterprise-grade, multi-turn conversational AI applications.

This is a low-level SDK for Java designed to create and manage persistent AI agents within Azure AI. It provides comprehensive tools for handling the entire agent lifecycle, including creating agents, managing conversation threads, sending messages, running agent processes, and cleaning up resources. Ideal for building robust, stateful AI applications requiring fine-grained control over agent interactions.

This is a low-level SDK for Java designed to create and manage persistent AI agents within Azure AI. It provides comprehensive tools for handling the entire agent lifecycle, including creating agents, managing conversation threads, sending messages, running agent processes, and cleaning up resources. Ideal for building robust, stateful AI applications requiring fine-grained control over agent interactions.

This SDK provides a comprehensive Python client library for interacting with Azure AI Speech-to-Text services. It supports both real-time streaming transcription and robust batch processing of audio files. Users can leverage advanced features such as speaker diarization (identifying multiple speakers) and capturing precise timestamps, making it invaluable for automated meeting minute generation, podcast content processing, and live captioning solutions.

This SDK provides a comprehensive Python client library for interacting with Azure AI Speech-to-Text services. It supports both real-time streaming transcription and robust batch processing of audio files. Users can leverage advanced features such as speaker diarization (identifying multiple speakers) and capturing precise timestamps, making it invaluable for automated meeting minute generation, podcast content processing, and live captioning solutions.

This guide provides comprehensive examples for developing real-time chat applications using the Azure Communication Services Chat SDK in Java. It covers essential features including creating chat threads, sending diverse message types (text, HTML), listing message history, managing participants, and handling advanced functionalities like read receipts, message updates, and participant management. Ideal for building robust, enterprise-grade messaging systems.

This guide provides comprehensive examples for developing real-time chat applications using the Azure Communication Services Chat SDK in Java. It covers essential features including creating chat threads, sending diverse message types (text, HTML), listing message history, managing participants, and handling advanced functionalities like read receipts, message updates, and participant management. Ideal for building robust, enterprise-grade messaging systems.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.