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By breaking iterable inputs into parallel LLM calls and batching 20 items across three languages within Dify’s platform limits, the workflow achieves 43‑64% average runtime reductions and markedly higher success rates, demonstrating that request‑level concurrency dramatically improves throughput for large‑scale translation tasks.
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