General
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Why
Discover why Instructor is the simplest, most reliable way to get structured outputs from LLMs.
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Explore
Find agent skills by outcome
34,052 skills indexed with the new KISS metadata standard.
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General
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Repository Overview
Learn the structure of the Instructor repository and the purpose of each major directory.
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Subscribe to Instructor Newsletter for AI Updates
Get notified about AI tips, blog posts, and research. Stay informed with Instructor's latest features and community insights.
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Mode Comparison Guide
Compare different modes available in Instructor and understand when to use each
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Jobs
No description available.
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Instructor - Multi-Language Library for Structured LLM Outputs | Python, TypeScript, Go, Ruby
Get structured, validated data from any LLM with Instructor - the #1 library for LLM data extraction. Supports 15+ providers (OpenAI, Anthropic, Google, Ollama, DeepSeek) in 6 languages. Built on type-safe schemas with automatic retries, streaming, and nested object support.
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General
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Installing Instructor with Pip
Learn how to install Instructor and its dependencies using pip for Python 3.9+. Simple setup guide included.
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Getting Started with Instructor: Help and Resources
Explore key resources for getting help with Instructor, including Discord, blog, concepts, cookbooks, and GitHub discussions.
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Getting Started
A step-by-step guide to getting started with Instructor for structured outputs from LLMs
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Frequently Asked Questions
Common questions and answers about using Instructor
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Contribute to Instructor: Evals, Issues, and Pull Requests
Join us in enhancing the Instructor library with evals, report issues, and submit pull requests on GitHub. Collaborate and contribute!
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Debugging Instructor Applications
Learn how to debug Instructor applications with hooks, logging, and exception handling. Practical techniques for inspecting inputs, outputs, and retries.
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Instructor Architecture Overview
Learn about the internal architecture and design decisions of the Instructor library
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API Reference Guide
Explore the comprehensive API reference with details on instructors, validation, iteration, and function calls.
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Documentation Agent Guide
Internal guide for maintaining and improving Instructor documentation
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site
.cache
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**If you're looking to understand the framework, please go to the [DSPy Docs at dspy.ai](https://dspy.ai)**
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site_name: DSPy
site_description: The framework for programming—rather than prompting—language models.
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CrewAI Documentation
Build collaborative AI agents, crews, and flows — production ready from day one.
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openapi: 3.0.3
info:
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openapi: 3.0.3
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openapi: 3.0.3
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openapi: 3.0.3
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build output
dist/
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