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### Motivation and Context To align with SK dotnet and to allow SK Python devs to leverage the OpenAI/Azure OpenAI assistants, this code is a required component for SK Python. <!-- 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 We're introducing the code to build non-chat, non-streaming OpenAIAssistantAgents for both the OpenAI and Azure OpenAI styles. This PR introduces: - The required code to create OpenAI/AzureOpenAI assistants using the v2 library. - Samples showing how to create the agent, and how to use the tool resources like the code interpreter and file search. - Unit test coverage at 100% - Full mypy coverage - Closes #7080  One to-do item: - introduce Agent integration tests Note: streaming assistant agent support will come in the next PR. <!-- 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 😄