outlines

Generate JSON, XML, or code outputs conforming to Pydantic schemas.

1|Updated Apr 30, 2025

Search Tags:#pydantic #inference #json-schema #fsm #backends #local-models #structured-generation

Ready to run

npx skills add https://github.com/lucasfth/config --skill outlines-lucasfth

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: outlines
Source: https://github.com/lucasfth/config/tree/main/.hermes/skills/mlops/inference/outlines
Command: npx skills add https://github.com/lucasfth/config --skill outlines-lucasfth

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill ensures that generated data adheres to strict JSON/XML/code structures, enabling reliable downstream processing and validation with Pydantic type-safety.

Core Features & Use Cases

Guarantees valid JSON, XML, or code structures during generation.
Uses Pydantic models to enforce type-safe outputs.
Supports local backends (Transformers, vLLM) for fast, offline inference.
Automatically generates outputs that conform to JSON schemas and grammar-based constraints.

Quick Start

Provide a model and schema to produce outputs with guaranteed structure.

Frequently Asked Questions about outlines

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

FAQPage Schema

How do I guarantee valid JSON schema outputs when using local models for inference?▼

To guarantee valid JSON schema outputs with local models, you can use FSM-based validation and Pydantic integration to enforce type-safe structures during generation, ensuring downstream processing reliability.

Does structured generation work with vLLM and Transformers backends?▼

Yes, structured generation works with local backends like vLLM and Transformers, enabling fast, offline inference while automatically generating outputs that conform to JSON schemas and grammar-based constraints.

What is the best way to enforce Pydantic type-safety on extracted data?▼

The best way to enforce Pydantic type-safety on extracted data is applying schema-constrained content generation, which automatically validates generated structures against your defined Pydantic models during the extraction process.

How do I constrain local model outputs to specific data structures for form processing?▼

You constrain local model outputs by providing a model and schema to produce outputs with guaranteed structure, using FSM-based validation to ensure correct data formats for form processing tasks.

Why do my local model inference outputs fail JSON validation downstream?▼

Local model inference outputs fail JSON validation downstream when generated without grammar-based constraints, requiring FSM-based validation and Pydantic integration to guarantee strict structural adherence during generation.