Constrain LLM outputs with regex and grammars for structured JSON or XML.
npx skills add https://github.com/nadicodeai/argo-agent --skill guidance-nadicodeai
Please help me install this Agent Skill. Skill: guidance Source: https://github.com/nadicodeai/argo-agent/tree/main/optional-skills/mlops/guidance Command: npx skills add https://github.com/nadicodeai/argo-agent --skill guidance-nadicodeai
LLMs often produce unstructured or invalid outputs; Guidance addresses this by enforcing syntax and structure through regex constraints and context-free grammars, guaranteeing valid JSON/XML/code formats and reliable multi-step workflows.
Use Guidance to generate a JSON payload that strictly matches a schema by applying a grammar constraint to the output.
High-intent search queries and answers about installing and using this skill.
Constrain LLM outputs to produce valid JSON by applying regex constraints and context-free grammars during generation. This enforces deterministic syntax, guaranteeing structured data formats without parsing errors through grammar-based generation.
Constrained generation restricts LLM outputs to match specific grammars or regex patterns. Token healing fixes boundary artifacts during generation, ensuring outputs strictly adhere to defined context-free grammars and structured syntax constraints.
Yes, you can use regex to validate structured output in multi-step LLM workflows. Guidance orchestrates Pythonic workflows applying regex constraints and grammar caching across local and cloud environments, ensuring reliable structured format validation.
Yes, the transformers library is required to apply grammar-based generation. Guidance depends on it alongside its own library to enforce context-free grammars and execute constrained generation workflows in local and cloud environments.
The best way to force XML generation instead of unstructured text is enforcing context-free grammars. This applies constrained generation to guarantee valid XML formats, preventing invalid syntax through deterministic grammar-based output control.
AnandaAnugrahHandyantoGenerate LLM outputs constrained by regex and grammar rules with Guidance.
erfanzarConstrain LLM outputs with regex and grammars for JSON, XML, and code.
Yangel-hideConstrain LLM outputs with regex patterns and grammars for structured formats.
afel6Constrain LLM generation with regex and grammar rules for valid JSON, XML, or code.
