outlines

Generate structured text outputs matching JSON, XML, or code schemas.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/HuskyDanny/hermes-agent-config --skill outlines-huskydanny
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: outlines
Source: https://github.com/HuskyDanny/hermes-agent-config/tree/main/skills/mlops/inference/outlines
Command: npx skills add https://github.com/HuskyDanny/hermes-agent-config --skill outlines-huskydanny

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Outlines ensures that generated text adheres to specified JSON, XML, or code schemas, enabling accurate data extraction and reliable automation.

Core Features & Use Cases

  • Guaranteed Valid Outputs: Utilizes Pydantic models and FSMs to generate text that matches predefined schemas.
  • Structured Generation: Supports JSON, XML, and code generation with zero-overhead.
  • Use Case: Generate structured JSON from user input, automatically fill out PDF forms, or create code snippets that adhere to specific syntax rules.

Quick Start

Generate a JSON response for the input "Create a user: John Doe, 30 years old, [email protected]".

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 that always matches my Pydantic schema?

To generate structured JSON matching a Pydantic schema, you can use finite state machines to constrain text generation, guaranteeing valid outputs for automated data extraction and workflows.

Can I use transformers and vllm for guaranteed valid code generation?

Yes, you can use transformers and vllm for valid code generation by constraining the model outputs to adhere to specific syntax rules, ensuring reliable code snippets with zero overhead.

What is the best way to automate PDF form filling with structured text generation?

The best way to automate PDF form filling is through structured text generation that forces model outputs to adhere to predefined JSON or XML schemas, ensuring accurate administrative data extraction.

Does structured generation work with XML schemas for administrative workflows?

Structured generation works with XML schemas by utilizing finite state machines to ensure generated text matches predefined structures, enabling accurate automation in administrative workflows.

Why does my language model output invalid JSON when extracting data?

Language models output invalid JSON during data extraction because they lack structural constraints, a problem solved by applying FSMs to guarantee generated text matches your specified schemas.