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Evan Mattson
c3ab713322
### Motivation and Context Azure AI Agents are a managed offering, and are built on top of the OpenAI assistant v2 APIs. Until now we have not had support for them in SK Python. This PR adds support for Azure AI Agents in SK Python. The current abstractions allow one to run managed Azure AI Agents using SK constructs as is demonstrated via the getting started samples and/or the `azure_ai_agent` concept code samples. The developer must first follow the required Azure AI Agent deployment steps, and bring their connection string as well as their model deployment name. <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> ### Description Add support for Azure AI Agent Service in SK - Add sample code - Add unit tests - Restructures the `getting_started_with_agents` samples to move the respective agent code into folders like `chat_completion`, `azure_ai_agent`, etc. Updates the README as well. - Closes #10187 **TODO**: add more test coverage either in this PR, or a subsequent one. <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [X] The code builds clean without any errors or warnings - [X] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [X] All unit tests pass, and I have added new tests where possible - [X] I didn't break anyone 😄