Skip to content

Latest commit

 

History

History
74 lines (54 loc) · 6.79 KB

README.md

File metadata and controls

74 lines (54 loc) · 6.79 KB

Microsoft 365 Agents SDK

The Microsoft 365 Agents SDK simplifies building full stack, multichannel, trusted agents for platforms including M365, Teams, Copilot Studio, and Webchat. We also offer integrations with 3rd parties such as Facebook Messenger, Slack, or Twilio. The SDK provides developers with the building blocks to create agents that handle user interactions, orchestrate requests, reason responses, and collaborate with other agents.

The M365 Agents SDK is a comprehensive framework for building enterprise-grade agents, enabling developers to integrate components from the Azure AI, Semantic Kernel, as well as AI components from other vendors.

  • Microsoft 365 Agents SDK Overview. Provides agent composition and user experience capabilities. Developers can deploy agents to channels for human interaction. This component handles conversation management and enables the agent to access orchestration and core agent backend functionality. In addition, this component enables agents to access functionality from Copilot Studio agents and the Copilot trust layer.
  • Copilot Studio. Copilot Studio is an end-to-end conversational AI platform that empowers the creation of agents using natural language or a graphical interface. With Copilot Studio, you can easily design, test, and publish agents that suit your needs for internal or external scenarios across your industry, department, or role.
  • Microsoft Teams. Microsoft Teams offers a collection of apps that are provided by Microsoft or external services. Teams apps can be tabs, bots, or message extensions or any combination of the capabilities. You can extend Teams apps to work on Outlook and Microsoft 365 App, too. These apps expand the value of the Teams collaborative experience for users.

Related SDKs

  • Semantic Kernel. Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code.

  • Azure AI Foundry. Provides the core backend agent functionality, providing reasoning, retrieval augmentation, observability, among other core functions. Developers can leverage the Azure AI Agent Service or build their agent functionality with individual components from this SDK.

The M365 Agents SDK brings together core components to allow for developers to create, manage and utilize AI Services and third-party SDKs to power orchestration and develop custom agent logic functionality.

Links

The source for the client libraries exists for the most part in repositories for each language. This repository is meant to be a jumping off point into those language specific repositories. Issues related to a specific language should be opened in the corresponding repository but cross cutting issues can be opened in this repository.

Language Repo Documentation
General Agents Repository Official Agents Documentation
C# /.NET Agents-for-net Repository .NET Documentation
JavaScript Agents-for-js Repository JavaScript Documentation
Python Coming Soon Coming Soon

Local Documentation

Evolution of Bot Framework

The Microsoft 365 Agents SDK is the evolution of the Bot Framework. The Bot Framework was previously how a developer can build bots where the primary focus in Conversational AI was around topics, dialogs and messages. The industry has evolved to be driven by Generative AI functionality, grounding on knowledge that is located across the enterprise, and there is the need for companies to be able to orchastrate actions, in additional to answer questions, from within a conversational experience. The Microsoft 365 Agents SDK provides capabilities for modern agent development, bringing together the creation of conversational agents with conversation management, orchestration, connecting to numerous AI Services and clients, including agents created with third party software or technology.

Please be aware as we move through this evolution, there will be some references to Bot Framework within documentation and in the code.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.