feat(genai): Add GenAI SDK samples (1) #4093
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Hello @gericdong, 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 initial samples for the GenAI SDK, specifically focusing on text generation. It includes a package.json file to manage dependencies, a test file (textgen-with-txt.test.js) to verify the text generation functionality, and the text generation code itself (textgen-with-txt.js). The code uses the @google/genai library to generate text content from a text prompt using the gemini-2.0-flash model.
Highlights
- Text Generation Sample: Adds a sample demonstrating text generation using the GenAI SDK.
- Dependencies: Introduces necessary dependencies like
@google/genai,axios,supertest,c8,chai,mocha,sinon, anduuid. - Testing: Includes a test case to ensure the text generation functionality works as expected.
Changelog
Click here to see the changelog
- genai/package.json
- Added a
package.jsonfile to manage project dependencies and scripts. - Includes dependencies for
@google/genai,axios, and testing libraries. - Defines a test script using
c8andmocha.
- Added a
- genai/test/textgen-with-txt.test.js
- Created a test file to verify the text generation functionality.
- Uses
chaifor assertions andmochafor testing. - Tests the
generateContentfunction fromtextgen-with-txt.js.
- genai/text-generation/textgen-with-txt.js
- Implements the text generation functionality using the
@google/genailibrary. - Defines a
generateContentfunction that takes a project ID and location as parameters. - Uses the
gemini-2.0-flashmodel to generate text content from the prompt 'How does AI work?'.
- Implements the text generation functionality using the
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A model stands tall,
Answering questions for all,
With text it replies,
Under digital skies,
AI's wisdom enthralls.
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Code Review
The pull request introduces a new GenAI SDK sample for text generation using a text prompt. The code includes a sample application and a corresponding test case. Overall, the code is well-structured and easy to understand. However, there are a few areas that could be improved.
Summary of Findings
- Prompt Specificity: The prompt 'How does AI work?' is quite broad. A more specific prompt would likely yield more interesting and relevant results.
- Error Handling: The
generateContentfunction lacks error handling. Adding a try-catch block would improve the robustness of the code. - Test Assertion Specificity: The test case only checks if the output length is greater than 0. A more specific assertion would ensure the generated content is relevant.
- Model Configuration: The model is hardcoded. Making it configurable would allow users to easily switch between different models.
Merge Readiness
The pull request introduces a functional GenAI sample. Addressing the suggestions would enhance the sample's robustness, flexibility, and testability. I am unable to approve this pull request, and recommend that others review and approve this code before merging.
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Description
Fixes b/415995543 - Add GenAI SDK samples (1)