self-repair

SAAG proposes a cascaded diagnostic framework for evaluating LLM agent function calling by decomposing evaluation into registry conformance, structural completeness, and argument grounding stages, enabling interpretable diagnostics and iterative self-repair. Experiments with sub-4B models show improved argument precision and reduced value hallucination compared to single-pass evaluation.

A new agent specification framework built in Rust, featuring a small binary size, Vuepress integration for documentation, issue persistence for improved code review context, and self-repair capabilities. Compatible with several agent tools and still under development.