Constrain LLM outputs with regex and grammars for structured JSON/XML generation.
npx skills add https://github.com/AVOI-CEO/avoi-agent --skill guidance-avoi-ceo
Please help me install this Agent Skill. Skill: guidance Source: https://github.com/AVOI-CEO/avoi-agent/tree/main/optional-skills/mlops/guidance Command: npx skills add https://github.com/AVOI-CEO/avoi-agent --skill guidance-avoi-ceo
Regex and grammar constraints to control LLM outputs, guaranteeing structured formats like JSON/XML and preventing invalid or unsafe generations.
Prompt an LLM to generate a JSON object that matches a given schema using regex and grammar constraints
High-intent search queries and answers about installing and using this skill.
Constrain LLM outputs using grammar-based generation to enforce schema-compliant JSON. Apply CFG-driven constraints and built-in token healing to guarantee deterministic, structured results without invalid tokens.
Regex-based constrained generation applies pattern matching to enforce specific formats like emails, dates, and IDs during text generation. This ensures deterministic outputs that match predefined constraints.
Yes, grammar-based generation enables structured data extraction by applying CFG constraints to outputs. Built-in validation checks ensure extracted data matches required formats like JSON or XML.
Prevent invalid tokens using built-in token healing and grammar checks during generation. Apply grammar-based constraints to enforce XML schema compliance and automatically validate outputs.
Constrained generation applies to both local and hosted models. Regex and grammar constraints enforce deterministic outputs across environments, ensuring structured results for multi-step workflows.
Build a validation layer using grammar-based constraints to enforce JSON schema compliance. Combine regex constraints with token healing and automatic validation to guarantee valid structured outputs from user input.
sheawinklerConstrain LLM outputs with regex and CFG grammars for structured JSON or XML.
zhnnky329Classify parsed subquestions into standard mathematical modeling problem types.
coreyhulenExecute multi-step agent workflows by chaining prompts and predefined pipelines.
zerwizConstrain LLM outputs with regex and grammar rules for structured formats.
