Anvia

Parallel and batch production checklist ​

Review correctness, operational pressure, and restart behavior before increasing concurrency.

Work boundaries ​

  • Verify parallel branches do not depend on one another's results.
  • Keep dependent stages linear and typed.
  • Prefer parallel reads and analysis over simultaneous product writes.
  • Avoid shared mutable state between branches and batch items.
  • Carry stable product IDs through every output.
  • Pass branch abort signals to external work; branch failure signals cancellation to siblings without rolling back side effects.

Capacity ​

  • Set batch concurrency from the narrowest downstream limit.
  • Include nested branches and agent turns when estimating fan-out.
  • Add time-based limiting for RPM, TPM, burst, and tenant quotas.
  • Measure throughput, latency, rate limits, pool pressure, memory, and cost.
  • Keep concurrency in trusted runner configuration.
  • Keep batch inputs bounded because Anvia materializes the iterable.

Failures and retries ​

  • Inspect each batch item's completed or failed status; ordinary item failures do not reject the outer batch.
  • Expect later batch items to run after an item failure; use an abort signal to cancel the batch deliberately.
  • Retry failed items instead of rerunning a partial batch blindly.
  • Add stable idempotency keys before retrying writes.
  • Treat validation and authorization failures as terminal.
  • Bound transient retries and use backoff with jitter.

Durability ​

  • Keep short bounded work in the current process.
  • Move slow, expensive, or restart-sensitive work to a durable queue.
  • Store user-visible status and output references in the product database.
  • Reauthorize queued work when the worker begins execution.
  • Keep large files and media in object storage, not queue messages.

Observability ​

  • Name pipeline stages and branches for readable graphs and events.
  • Pass a PipelineRunObserver to individual .run() calls.
  • Attach agent observers for model and tool activity inside agent stages.
  • Correlate traces with product job, batch, and item IDs.
  • Alert on queue depth, repeated retries, and partial-failure rate.

Final verification ​

  • Confirm successful batch outputs preserve input order.
  • Confirm invalid concurrency fails before processing.
  • Test one branch failure and one batch item failure.
  • Test worker redelivery after a process interruption.
  • Verify duplicate writes are prevented by idempotency.
  • Verify stored and displayed errors contain no sensitive internal data.

Built for Anvia.