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outlines

Generate structured text outputs using JSON schemas, regex patterns, and Pydantic models.

Updated May 13, 2026
Search Tags:#LLM#Pydantic#local models#structured text#JSON generation
One-click install
npx skills add https://github.com/skkeoriw/hermes-brain --skill outlines-skkeoriw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: outlines
Source: https://github.com/skkeoriw/hermes-brain/tree/main/brain/hermes-home/skills/mlops/inference/outlines
Command: npx skills add https://github.com/skkeoriw/hermes-brain --skill outlines-skkeoriw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires outlines, transformers, vllm, pydantic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the creation of structured text outputs using JSON, regex, and Pydantic models, ensuring valid and type-safe data generation.

Core Features & Use Cases

  • Structured Text Generation: Generate JSON, XML, or code with guaranteed structure and type safety.
  • Pydantic Models: Utilize Pydantic for type-safe outputs and schema validation.
  • Local Models Support: Integrate with local models like Transformers, llama.cpp, and vLLM for high inference speed.
  • Use Case: Use this Skill to generate structured product information from a free-form text description, ensuring all fields are correctly formatted and validated.

Quick Start

Use the outlines skill to generate structured data from the text "iPhone 15, $999, available" with the schema 'ProductSpec'.

Frequently Asked Questions about outlines

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate structured JSON from a local LLM?▼

To generate structured JSON from a local LLM, use this Skill with backends like Transformers, llama.cpp, or vLLM to produce type-safe outputs validated against Pydantic models.

How do I use Pydantic models for LLM text generation?▼

Using Pydantic models for LLM text generation involves defining a schema that the model adheres to, which this Skill uses to guarantee valid, type-safe structured data creation.

Does vLLM support regex pattern structured text generation?▼

Yes, vLLM supports regex pattern structured text generation when integrated with this Skill, allowing you to constrain LLM outputs to specific formats for data extraction and document processing.

What's the best way to extract structured data from free-form text?▼

The best way to extract structured data from free-form text is applying JSON schemas or Pydantic models via this Skill, ensuring all fields are correctly formatted and validated.

How do I ensure type safety when generating JSON with local models?▼

To ensure type safety when generating JSON with local models, this Skill enforces structured text generation rules using Pydantic models, validating schema compliance during inference.

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