Overview

Structured Outputs by Example¶

This section contains straightforward examples for using Instructor to extract structured data from language models. Each example progresses from basic to more advanced concepts, with clear Python code and minimal complexity.

Getting Started¶

• Installation - Setting up Instructor
• Your First Extraction - Create your first structured output
• Response Models - Understanding model types
• Client Setup - Configure for different providers

Basic Extraction Patterns¶

• Simple Object Extraction - Extract basic objects
• List Extraction - Extract lists of items
• Nested Structure - Work with nested data
• Optional Fields - Handle missing information
• Field Validation - Add basic validation
• Prompt Templates - Improve extraction with templates

Validation¶

• Validation Basics - Core validation concepts
• Field-level Validation - Validate specific fields
• Custom Validators - Create your own validators
• Retry Mechanisms - Handle validation failures

Streaming¶

• Streaming Basics - Get results as they generate
• Streaming Lists - Stream collections of data