Generate valid JSON, XML, and code using regex and grammars.
npx skills add https://github.com/MesferAli/XCircle --skill guidance-mesferali
Please help me install this Agent Skill. Skill: guidance Source: https://github.com/MesferAli/XCircle/tree/main/.claude/skills/guidance Command: npx skills add https://github.com/MesferAli/XCircle --skill guidance-mesferali
This Skill provides fine-grained control over Large Language Model (LLM) output, ensuring structured, valid, and predictable generation through constrained text generation.
Use the guidance skill to generate a JSON object for a user with a name and email.
High-intent search queries and answers about installing and using this skill.
To guarantee valid JSON output from an LLM, use constrained generation with grammars to enforce specific formatting and structure. This methodology ensures predictable responses, preventing malformed text generation.
Constrained LLM generation is a technique that controls model output using regex and grammars. It works by restricting the generation process to ensure structured data formatting, yielding valid JSON, XML, or code.
Yes, you can apply constrained generation across OpenAI, Anthropic, and local models. It supports backends via Transformers and llama.cpp, ensuring precise control over LLM responses across different environments.
To enforce specific formats like emails and dates in LLM responses, apply prompt engineering with regex patterns. This restricts the output structure, ensuring generated text strictly matches your defined validation rules.
The best way to build multi-step conversational agents is by using constrained generation to facilitate reasoning chains. This enforces precise control over LLM responses, enabling complex multi-step workflows with structured outputs.
ovachieverConstrain LLM outputs to valid JSON, XML, and code using regex and grammar constraints.
heysuhasEnforce regex and grammar constraints on LLM outputs for valid JSON and XML.
robertbr123Constrain language model outputs with regex and grammars for valid JSON or XML.
granietEnforce regex and grammar constraints during LLM token generation.
