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### Motivation and Context <!-- 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? Enables developers to use NVIDIA's chat models through Semantic Kernel with structured output support. 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. --> This change adds chat completion support with structured output to the existing NVIDIA connector, enabling developers to use NVIDIA's chat models through Semantic Kernel while building conversational AI applications that require structured, validated responses. The connector will support more model types iteratively, with future PRs introducing VLM models and additional capabilities. ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> - New Chat Completion Service: `NvidiaChatCompletion`: Chat completion service following same structure as other connectors - Extends existing NVIDIA embedding connector patterns and architecture - Custom logic for handling structured output specific to NVIDIA models - Enhanced Configuration: `NvidiaChatPromptExecutionSettings`: Chat-specific settings following existing connector patterns ### 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 😄