A smaller model meets task quality while substantially reducing latency and cost on representative workloads. Which approach best fits?

1. Version and align the embedding pipeline for both retrieval sides.
2. Review output-token limits and validate structured-response completeness.
3. Make the action idempotent and distinguish inference retries from action execution.
4. Choose the smaller model if it satisfies all approved requirements.