Constrain LLM outputs with regex and grammar constraints.
npx skills add https://github.com/arsity/scholar-tools --skill guidance-arsity
Please help me install this Agent Skill. Skill: guidance Source: https://github.com/arsity/scholar-tools/tree/main/vendor/ai-research-skills/16-prompt-engineering/guidance Command: npx skills add https://github.com/arsity/scholar-tools --skill guidance-arsity
Guidance enables deterministic LLM generation by enforcing regex and CFG-based constraints, reducing invalid or non-compliant outputs and minimizing post-processing.
Constrain a JSON object to a predefined schema using regex and grammar constraints with Guidance.
High-intent search queries and answers about installing and using this skill.
Grammar-based generation enforces structured formats like JSON or XML by constraining the LLM during generation, ensuring valid syntax and reducing invalid outputs.
Grammar-based generation enforces structured formats like JSON or XML by constraining the LLM during generation, ensuring valid syntax and reducing invalid outputs.
Token healing fixes tokenization artifacts at the boundaries of constrained text, ensuring regex patterns and grammar rules apply smoothly without breaking token boundaries during generation.
Token healing fixes tokenization artifacts at the boundaries of constrained text, ensuring regex patterns and grammar rules apply smoothly without breaking token boundaries during generation.
Yes, by enforcing regex and context-free grammar constraints during generation, invalid or non-compliant outputs are minimized, effectively reducing or eliminating post-processing steps.
nadicodeaiConstrain LLM outputs with regex and grammars for structured JSON or XML.
AnandaAnugrahHandyantoGenerate LLM outputs constrained by regex and grammar rules with Guidance.
cxnaiveConstrain LLM output syntax with regex, grammars, and token-level filtering.
pmcdowallEnforce structured output formats and validation constraints on language model generation.
