feat(genai): Add samples for tuning and thinking generation

[cfloress]

Description

Fixes #

Note: Before submitting a pull request, please open an issue for discussion if you are not associated with Google.

Checklist

• I have followed Contributing Guidelines from CONTRIBUTING.MD
• Tests pass: go test -v ./.. (see Testing)
• Code formatted: gofmt (see Formatting)
• Vetting pass: go vet (see Formatting)
• These samples need a new API enabled in testing projects to pass (let us know which ones)
• These samples need a new/updated env vars in testing projects set to pass (let us know which ones)
• This sample adds a new sample directory, and I updated the CODEOWNERS file with the codeowners for this sample
• This sample adds a new Product API, and I updated the Blunderbuss issue/PR auto-assigner with the codeowners for this sample
• Please merge this PR for me once it is approved

[snippet-bot]

Here is the summary of changes.

You are about to add 4 region tags.

• genai/thinking/thinking_with_txt.go:18, tag googlegenaisdk_thinking_with_txt
• genai/tuning/tuning_create_job.go:18, tag googlegenaisdk_tuning_job_create
• genai/tuning/tuning_get_job.go:18, tag googlegenaisdk_tuning_job_get
• genai/tuning/tuning_textgen_with_txt.go:18, tag googlegenaisdk_tuning_textgen_with_txt

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[gemini-code-assist]

Summary of Changes

Hello @cfloress, 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 significantly enhances the golang-samples repository by adding new examples for advanced Generative AI capabilities. It provides practical demonstrations for model tuning, allowing users to fine-tune models with custom datasets, and introduces a "thinking generation" sample that illustrates how models can articulate their reasoning process. These additions aim to make it easier for developers to leverage the GenAI SDK for more sophisticated AI applications.

Highlights

• GenAI Tuning Samples: Introduced new Go samples demonstrating how to create and manage supervised tuning jobs for Generative AI models, including creating a job, getting its status, and making predictions with the tuned endpoint.
• GenAI Thinking Generation Sample: Added a new Go sample showcasing "thinking generation" with text using the GenAI SDK, specifically demonstrating how a model can provide a detailed thought process alongside its final answer.
• Comprehensive Testing: Included corresponding system tests for both the new tuning and thinking generation samples to ensure their functionality and provide runnable examples.

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[gemini-code-assist]

Code Review

This pull request adds new Go samples for GenAI tuning and thinking generation. The changes look good overall, introducing useful examples. My review includes a few key suggestions to improve correctness and testability:

• The system tests for tuning are currently broken because they rely on a hardcoded, invalid job name. I've suggested a refactoring to properly chain the tests.
• There's an API version mismatch between creating a tuning job (v1beta1) and getting/using it (v1), which will likely cause runtime errors. I've recommended using v1beta1 consistently.
• There is an unused parameter in one of the new functions, which should be removed for code clarity.

Addressing these points will ensure the new samples are robust and the tests are reliable.