feat: add code samples for model optimizer

[yan283]

Add a code sample for model-optimizer using Vertex AI API

Checklist

• I have followed Sample Guidelines from AUTHORING_GUIDE.MD
• README is updated to include all relevant information
• Tests pass: nox -s py-3.9 (see Test Environment Setup)
• Lint pass: nox -s lint (see Test Environment Setup)
• 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.

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• generative_ai/text_generation/textgen_model_optimizer_with_txt.py:21, tag generativeaionvertexai_textgen_model_optimizer_with_txt

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[gemini-code-assist]

Hello @yan283, 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!

Summary of Changes

This pull request adds a new code sample, text_example02.py, demonstrating how to use the Vertex AI API with the model optimizer feature. The sample generates text from a given input, specifically tailored for optimizing model costs. The code initializes the Vertex AI client, specifies a model with cost optimization preferences, and then generates content based on a prompt about flower shop names.

Highlights

• New Code Sample: Introduces text_example02.py to showcase the model optimizer feature within Vertex AI.
• Model Optimizer: Demonstrates how to configure a GenerativeModel to prioritize cost using feature_selection_preference=GenerationConfig.ModelConfig.FeatureSelectionPreference.PRIORITIZE_COST.
• Text Generation: Provides an example of generating text content using the Vertex AI API with a specific prompt.

Changelog

• generative_ai/text_generation/text_example02.py
  • Added a new file text_example02.py containing a code sample for using the Vertex AI model optimizer.
  • The sample initializes Vertex AI with a project ID and location.
  • It configures a GenerativeModel to prioritize cost during text generation.
  • The sample generates content based on a prompt asking for flower shop name ideas.
  • The generated text is printed to the console as an example response.

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A model's mind,
Optimized for cost's confine,
Generates with care.

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[gemini-code-assist]

Code Review

The code introduces a new example for using the model optimizer with Vertex AI. The example is clear and concise, demonstrating how to set the feature_selection_preference to PRIORITIZE_COST. Overall, the code is well-structured and easy to understand.

Summary of Findings

• TODO Comment: The TODO comment on line 24 should be addressed by updating and uncommenting the line with the project ID.

Merge Readiness

The code is well-structured and the example is clear. However, the TODO comment should be addressed before merging. I am unable to directly approve the pull request, and recommend that others review and approve this code before merging.

[holtskinner]

We aren't adding new samples for Generative AI with Vertex AI SDK, unless the feature only works with the Vertex AI SDK. Closing this PR as #13296 covers this feature with the Gen AI SDK.

UPDATE: Not all features work with the Gen AI SDK yet, so we're keeping this PR open.