Comment by hansvm

I wish they'd published something about the actual impact on model quality. Schema-constrained decoding changes the distribution the LLM will output. I'd be curious how a back-up-and-retry method for tool calls (which also doesn't pollute the context and also has 100% tool-call accuracy) would compare. In their example stats (23/25 success rate), it'd be +9% tokens used for the tool call attempt itself, but that's +9% on just a small fraction of the total tokens, so if a retry solution gave any better accuracy I think it might win out.