Control LLM output with regex and grammars for structured JSON/XML/code generation.
npx skills add https://github.com/jonnabio/ace-framework --skill guidance-jonnabio
Please help me install this Agent Skill. Skill: guidance Source: https://github.com/jonnabio/ace-framework/tree/main/.ace/packs/ai-research/guidance Command: npx skills add https://github.com/jonnabio/ace-framework --skill guidance-jonnabio
This Skill helps control LLM output with regex and grammars, ensuring valid JSON/XML/code generation and structured formats.
Install guidance using pip install guidance. Then, to generate a person object with name and age, use from guidance import models, gen; person = models.Anthropic("gpt-4"); person += gen("person", grammar=json_grammar).
High-intent search queries and answers about installing and using this skill.
You can enforce valid JSON generation from an LLM by applying regex constraints and grammars during the generation process. This approach guarantees structured data output and format validation directly within the generation workflow.
Controlling LLM output syntax with regex involves using constrained generation frameworks to define allowed patterns. This mechanism guarantees valid JSON, XML, or code generation by enforcing structured formats throughout the multi-step workflow.
You can build multi-step workflows for structured LLM output by utilizing Pythonic control flow within constrained generation frameworks. This allows you to define complex sequences that enforce regex and grammar constraints across multiple generation steps.
Guidance works with Python and requires specific LLM models to function. It integrates constrained generation techniques using dependencies like transformers, allowing you to control output syntax and enforce structured formats within your Python environment.
You can generate structured data from unstructured text by defining the desired output format with grammars and regex. Constrained generation automatically enforces these rules to produce valid JSON or XML from the unstructured input text.
thisismynewfmail-uiConstrain LLM output with regex and grammars for valid JSON, XML, or code.
rar-fileParse, transform, and validate structured data in JSON, YAML, XML, and related formats.
ovachieverConstrain LLM outputs to valid JSON, XML, and code using regex and grammar constraints.
eddieluengEnforce regex and grammar constraints for valid JSON, XML, and code outputs.
