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Add controlled generation samples

  • Generate content with nullable schema
  • Generate content with response schema

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@jdomingr jdomingr requested review from a team as code owners December 23, 2025 21:30
@product-auto-label product-auto-label bot added the samples Issues that are directly related to samples. label Dec 23, 2025
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Summary of Changes

Hello @jdomingr, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the GenAI SDK's sample collection by adding new examples for controlled content generation. These samples provide practical demonstrations of how to leverage response schemas, including those with nullable properties, to guide the output of generative AI models, ensuring structured and predictable results for developers.

Highlights

  • New Controlled Generation Samples: Introduced two new C# samples demonstrating controlled content generation with the GenAI SDK.
  • Nullable Schema Example: Added a sample that showcases how to generate content with a response schema that includes nullable fields, providing flexibility in structured output.
  • Response Schema Example: Included a sample illustrating how to generate content by strictly adhering to a predefined JSON response schema.
  • Unit Tests: Accompanying unit tests were added for both new controlled generation samples to ensure their correctness and functionality.

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Code Review

This pull request adds two new samples for controlled generation with GenAI, along with corresponding tests. The samples are well-structured and demonstrate the features effectively. I've provided some feedback to enhance the robustness of the code and tests. Specifically, I've suggested adding checks to prevent potential runtime errors when processing responses and improving the tests to perform more thorough validation. I've also included a couple of suggestions to improve the clarity and conventions used in the JSON schema definition.

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