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AI CURATED HOT STORY · 10/26/2026

vLLM Achieves 100% Tool-Call Accuracy via Constrained Decoding

1 reports archived1 independent sourcesupdated 10/26/2026, 20:59:48
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To address frequent tool-call failures in open-weight model inference, vLLM version 0.31 introduced server-side constrained decoding support. This feature enforces schema adherence, boosting the accuracy of models like Kimi K2.6 from 92% to 100%, thereby significantly enhancing the reliability of agentic workflows.

LATEST/To address frequent tool-call failures in open-weight model inference, vLLM version 0.31 introduced server-side constrained decoding support. This feature enforces schema adherence, boosting the accuracy of models like Kimi K2.6 from 92% to 100%, thereby significantly enhancing the reliability of agentic workflows.

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