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I authored the blog with some other contributors and worked on the feature (PR: https://github.com/ollama/ollama/pull/7900).

The current implementation uses llama.cpp GBNF grammars. The more recent research (Outlines, XGrammar) points to potentially speeding up the sampling process through FSTs and GPU parallelism.

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If you want avoid startup cost, llguidance [0] has no compilation phase and by far the fullest JSON support [1] of any library. I did a PoC llama.cpp integration [2] though our focus is mostly server-side [3].

[0] https://github.com/guidance-ai/llguidance [1] https://github.com/guidance-ai/llguidance/blob/main/parser/s... [2] https://github.com/ggerganov/llama.cpp/pull/10224 [3] https://github.com/guidance-ai/llgtrt

I have been thinking about your PR regularly, and pondering about how we should go about getting this merged in.

I really want to see support for additional grammar engines merged into llama.cpp, and I'm a big fan of the work you did on this.

This looks really useful. Thank you!

Thank you for the details!

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