fix: pin google-cloud-aiplatform to version 1.130.0

[eliasecchig]

Summary

• Pin google-cloud-aiplatform dependency to version 1.130.0
• Regenerate all lock files for agent/deployment combinations

Problem

Newer versions of google-cloud-aiplatform are not currently able to export struct logs, required for telemetry.

Solution

Pinned the dependency to a known working version (1.130.0) in the base template pyproject.toml for both Cloud Run and Agent Engine deployments.

[gemini-code-assist]

Summary of Changes

Hello @eliasecchig, 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 aims to enhance the stability of the project by addressing potential breaking changes or issues that might arise from newer versions of the google-cloud-aiplatform library. By pinning the dependency to a known stable version, 1.130.0, the change ensures predictable behavior and reduces the risk of unexpected regressions in deployments.

Highlights

• Dependency Pinning: The google-cloud-aiplatform dependency has been explicitly pinned to version 1.130.0 in the pyproject.toml file for both Cloud Run and Agent Engine deployment targets.
• Lock File Regeneration: All lock files for agent/deployment combinations are intended to be regenerated to reflect the updated dependency constraint, ensuring consistent builds.

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[gemini-code-assist]

Code Review

This pull request pins the google-cloud-aiplatform dependency to version 1.130.0 to avoid breaking changes from newer versions. While this ensures stability, it also prevents receiving bug fixes and security patches. I've suggested using a pessimistic version constraint (~=1.130.0) instead of a hard pin (==1.130.0). This would allow for patch-level updates, providing a better balance between stability and long-term maintainability.