Apply regex and grammar constraints to generate structured JSON, XML, and code.
npx skills add https://github.com/ever-oli/io --skill guidance-ever-oli
Please help me install this Agent Skill. Skill: guidance Source: https://github.com/ever-oli/io/tree/main/skills/mlops/inference/guidance Command: npx skills add https://github.com/ever-oli/io --skill guidance-ever-oli
Guidance solves the challenge of controlling and validating LLM outputs by applying regular expressions, grammars, and structured formats to generate reliable JSON, XML, or code, reducing errors and post-processing.
Generate a small JSON object with a name and age that adheres to the required formats.
High-intent search queries and answers about installing and using this skill.
You can constrain LLM outputs for valid JSON by applying regex and grammar rules during generation. This enforces structured formats directly, guaranteeing valid JSON, XML, or code without post-processing.
Yes, constrained generation works across multiple backends including Anthropic, OpenAI, Transformers, and llama.cpp. This supports local model deployments for privacy-sensitive or cost-sensitive environments while enforcing structured output formats.
Token healing fixes tokenization artifacts at prompt boundaries during constrained generation. It ensures smooth transitions between static prompt text and generated content, maintaining reproducible and accurate multi-step workflows.
The best way to build a strict JSON extraction pipeline is using Pythonic guidance functions with grammar constraints. This approach applies reusable patterns for complex prompts, guaranteeing structured output formats and reducing validation errors.
Yes, enforcing grammar rules for structured output requires the Guidance library and its dependencies, specifically the guidance and transformers packages. Optional components like references provide deeper documentation for complex constrained generation setups.
tianhao909Control LLM output with regex and grammars for valid JSON, XML, or code.
ovachieverConstrain LLM outputs to valid JSON, XML, and code using regex and grammar constraints.
zerwizConstrain LLM outputs with regex and grammar rules for structured formats.
photonics-dhlConstrain LLM outputs with regex and grammar rules for JSON, XML, and code.
