
vLLM constrained decoding lifts Kimi tool-call schema accuracy to 100%
Serving Kimi K2.6 on vLLM 0.28 matched the expected schema only 92% of the time, the authors report.
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Serving Kimi K2.6 on vLLM 0.28 matched the expected schema only 92% of the time, the authors report.
Across eleven open-source models, apparent losses mostly came from mismatched prompts and formats rather than decoder masking.
Accepting-path decoding guarantees valid semantic parses and lifts Smatch++ under tight output-length limits.
A community MLX inference engine evaluates constrained JSON schema fields in parallel on Apple Silicon, reporting 5.6-7.0x latency speedups with guaranteed schema validity.
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