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Summary of ChangesHello @yarolegovich, 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 improves the robustness of task cancelation in distributed environments by introducing a retry mechanism for optimistic concurrency control failures. By explicitly handling concurrent modification errors during cancelation attempts, the system ensures that cancelation signals are reliably processed, even when tasks are undergoing rapid state changes. This enhancement makes the task management system more resilient and predictable, especially for critical operations. Highlights
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Code Review
The pull request introduces a robust retry mechanism for task status updates to the canceled state, addressing potential failures in optimistic concurrency control within distributed environments. The implementation correctly re-fetches the latest task state and merges the cancellation intent, ensuring idempotency and respecting terminal states. I have identified a few typos in function and test names, and a missing adherence to the repository's testing style guide regarding parallel execution. All comments align with the provided rules or are not covered by them, thus no modifications or drops were necessary.
🤖 I have created a release *beep* *boop* --- ## [0.3.7](v0.3.6...v0.3.7) (2026-02-20) ### Features * implement tasks/list RPC ([#210](#210)) ([6e04698](6e04698)) * retry cancelations ([#222](#222)) ([3057474](3057474)) ### Bug Fixes * handle internal error: tck failure ([#186](#186)) ([b55fbfd](b55fbfd)) * **sse:** support data: prefix without space ([#188](#188)) ([6657a6d](6657a6d)), closes [#162](#162) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please).
we rely on optimistic concurrency control to propagate cancelation signal in distributed deployments.
if a task gets cancelled the next task update fails and stops execution.
in case of cancelations OCC also applies, but this also makes cancelations fragile, especially when execution generates events rapidly
the solution for now is to provide a built-in retry mechanism on task update level where in cases of concurrent modification task status update to failed is going to be retried up to a max number of attempts