Version Packages - #813
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This PR was opened by the Changesets release GitHub action. When you're ready to do a release, you can merge this and publish to npm yourself or setup this action to publish automatically. If you're not ready to do a release yet, that's fine, whenever you add more changesets to main, this PR will be updated.
Releases
@cloudflare/sandbox@0.12.5
Patch Changes
#786
750ca4dThanks @aron-cf! - Instrument the bridge API with Cloudflare custom spans. Each endpoint now emitsa
bridge.<operation>span annotated with the sandbox ID, container UUID, andoperation-specific metadata (command, file path, port, session ID, and so on),
so requests are traceable end to end. Enable tracing with
observability.traces.enabledin your Worker configuration.#799
0783596Thanks @aron-cf! - Makedestroy()succeed when the sandbox container was never admitted, so cleanup no longer fails with a no-instance platform error.#799
0783596Thanks @aron-cf! - Reduce intermittent startup failures during concurrent sandbox creation where operations could fail with a disposed RPC session error.#799
0783596Thanks @aron-cf! - Surface container capacity and admission failures as retryableContainerUnavailableErrorwith a structuredreason, including no-instance and max-instances cases. Callers can branch onerror.reasoninstead of parsing platform messages.#786
750ca4dThanks @aron-cf! - Fill the warm pool in bounded-parallel batches instead of one container at atime, so it primes and recovers far faster after a burst. Tune the batch size
with
WARM_POOL_SCALE_BATCH_SIZE(default 5, clamped to 20).#786
750ca4dThanks @aron-cf! - Refill the warm pool the moment it drains instead of waiting for the nextbackground tick. After a burst consumes warm containers, replenishment now
starts immediately, cutting the latency tail for sandboxes created during
sustained or back-to-back bursts.
#786
750ca4dThanks @aron-cf! - Let the warm pool know its instance ceiling up front via theWARM_POOL_MAX_INSTANCESbridge variable. Set it to match your container'smax_instancesso the pool makes correct capacity decisions without firstcrashing into the limit.
0(the default) preserves the existing auto-learnbehaviour.