Skip to content

Implement model loading event#58

Merged
safaricd merged 2 commits intomainfrom
ENG-414
Jan 21, 2026
Merged

Implement model loading event#58
safaricd merged 2 commits intomainfrom
ENG-414

Conversation

@safaricd
Copy link
Collaborator

Change Description

With this PR we introduce a new type of events, ModelLoadEvent. It's purpose is logging the model load state - whenever the user failed or succeeded to load a model, alongside with failure information.

@safaricd safaricd requested a review from noahho January 21, 2026 04:57
@gemini-code-assist
Copy link
Contributor

Summary of Changes

Hello @safaricd, 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 telemetry system by introducing a dedicated ModelLoadEvent. This event is designed to provide comprehensive logging for model loading attempts, recording whether the operation was successful or encountered a failure, along with relevant contextual details. This addition will improve observability and aid in diagnosing issues related to model deployment and availability.

Highlights

  • New Telemetry Event: Introduced a new ModelLoadEvent to track the status of model loading operations within the system.
  • Event Details: The ModelLoadEvent captures essential information such as the user's install_id, the model_name, the status of the load (success or failed), and a failure_reason if applicable.
  • Telemetry Integration: The new event has been integrated into the telemetry system's public exports, making it available for use and logging.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

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 by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

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 pull request 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.

Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces a new telemetry event, ModelLoadEvent, to track the success or failure of model loading. The implementation is straightforward and follows the existing structure for events. However, I've identified a critical omission: there are no tests for the new ModelLoadEvent. It's important to add unit tests to verify its behavior. I've also provided a few suggestions on the implementation of ModelLoadEvent itself to improve its data consistency and analytical value. Specifically, I recommend making the status field mandatory, adding an install_date for consistency, and using __post_init__ to ensure failure_reason is only present for failed loads. Addressing these points will make the new event more robust and useful.

Copy link
Collaborator

@noahho noahho left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please take a look at AI comments before review

@safaricd safaricd merged commit 673aa33 into main Jan 21, 2026
9 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants