Feature Request: Integrate Microsoft.Extensions.AI with Google.Cloud.AIPlatform

Is your feature request related to a problem? Please describe.

While Google Cloud SDK for .NET and specifically the Google.Cloud.AIPlatform library provide robust tools for interacting with Google AI services, the current implementations lack a unified abstraction layer compatible with Microsoft.Extensions.AI.

Describe the solution you'd like

I propose integrating Microsoft.Extensions.AI with Google.Cloud.AIPlatform (v1/v1beta). This library offers a unified API abstraction for AI services, similar to logging and dependency injection abstractions in .NET. By leveraging Microsoft.Extensions.AI, we can achieve:

• Aligned development experience: Developers can utilize familiar abstractions, streamlining the integration of Google AI services.
• Enhanced flexibility: Developers can easily switch between Google AI services and other providers with minimal code changes.
• Improved code maintainability: A consistent abstraction layer promotes the creation of modular and reusable AI components.

Additional context

• Microsoft.Extensions.AI announcement: Microsoft DevBlogs
• Real-world example: Implementation of Microsoft.Extensions.AI in AWS SDK for .NET AWS Pull Request
• Initial PR as a concept: [WIP] Introduce Microsoft.Extensions.AI to AIPlatform #13814

Questions to the Google Team

1. Potential challenges: What are the potential challenges and trade-offs of adopting this approach in your repo?
2. Preferred implementation: What would be the preferred approach for implementing this integration? Would it involve creating new project or extend existing AIPlatform projects?
   It would be best option to be consistent with Microsoft.Extensions.AI idea but I am open to suggestions from your side.

I'm eager to discuss this proposal further and go work on pull request when we will agree on the details.

I believe integrating Microsoft.Extensions.AI with Google.Cloud.AIPlatform would significantly benefit the .NET developer community and foster a more unified approach to AI development on Google Cloud.

cc: @stephentoub