instructor

What problem does it solve?

This Skill solves the challenge of reliably extracting structured, validated data from Large Language Model (LLM) responses, ensuring type safety and automatic error handling.

Core Features & Use Cases

• Structured Data Extraction: Extract data into Pydantic models for type-safe access.
• Automatic Validation: Pydantic schemas automatically validate LLM outputs.
• Retry Mechanism: Automatically retries LLM calls when validation fails, providing feedback.
• Streaming Outputs: Stream partial or iterable results for real-time processing.
• Use Case: Extracting customer details (name, email, age) from unstructured text into a Pydantic User model, with automatic retries if the LLM fails to provide valid data.

Quick Start

Use the instructor skill to extract user data from the provided text into a Pydantic model.