[Firebase AI] Add support for Code Execution

[a-maurice]

Description

Provide details of the change, and generalize the change in the PR title above.

In Firebase AI Logic, add support for enabling Code Execution.

---

Testing

Describe how you've tested these changes.

Running the tests locally.

---

Type of Change

Place an x the applicable box:

• Bug fix. Add the issue # below if applicable.
• New feature. A non-breaking change which adds functionality.
• Other, such as a build process or documentation change.

---

[gemini-code-assist]

Summary of Changes

Hello @a-maurice, 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 Firebase AI capabilities by integrating support for code execution. This feature allows the AI model to generate and run code, primarily for solving complex problems, thereby expanding its problem-solving potential. The changes involve core API modifications to introduce the new tool and handle its specific content types, along with corresponding updates to the documentation and automated test suite to ensure robust functionality.

Highlights

• New Code Execution Tool: Introduced a new CodeExecution tool within the Firebase AI logic, allowing the model to generate and execute code to solve complex problems, such as mathematical calculations.
• Model Content Updates: Added new ExecutableCodePart and CodeExecutionResultPart structs to represent code generated by the model and the results of its execution, respectively. This enables the API to handle and parse these new content types.
• Tool Integration: The Tool struct has been updated to support the new CodeExecution tool, including new constructors and serialization logic to properly integrate it into the existing tool framework.
• Automated Testing: Comprehensive automated tests have been added to validate the functionality of the new Code Execution feature, ensuring that the model can correctly generate and execute code, and that the results are properly parsed.
• Documentation Update: The docs/readme.md file has been updated to include a note about the upcoming Code Execution feature in the release notes.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in issue comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request adds support for Code Execution in Firebase AI. The changes include introducing a CodeExecution tool, along with ExecutableCodePart and CodeExecutionResultPart to handle code execution within model responses. The implementation is well-structured and follows existing patterns in the codebase. New integration and unit tests have been added to verify the functionality. My feedback includes a few suggestions to improve code consistency and adhere to C# best practices for collection handling.