Doramagic.ai

Security Review & Permission Governance · Preview

instructor

structured outputs for llms

Preview status · 2026-05-16

What is instructor?

01

Quick decision

Use this section to decide whether the project is worth a deeper read.
Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

structured outputs for llms

Repository567-labs/instructor

13k stars · 1.0k forks

02

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.
1

Introduction to Instructor

Related topics: Getting Started with Instructor, Installation and Setup

Sources: [README.md](https://github.com/567-labs/instructor/blob/main/README.md)
2

Getting Started with Instructor

Related topics: Installation and Setup, Response Models and Type Safety

Sources: [README.md:1-50]()
3

Installation and Setup

Related topics: Getting Started with Instructor, LLM Provider Support

Sources: [README.md:1-50]()
4

Project Structure

Related topics: Core Components Architecture, LLM Provider Support

Sources: [README.md](https://github.com/567-labs/instructor/blob/main/README.md)
5

Core Components Architecture

Related topics: Project Structure, Validation and Retry Mechanisms

Sources: [examples/batch_api/README.md](https://github.com/567-labs/instructor/blob/main/examples/batch_api/README.md)

Sources: https://github.com/567-labs/instructor, Human Manual, Project Pack evidence, and downstream validation signals.

03

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.
Stars13k stars
Forks1.0k forks
Contributors250 contributors
Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using instructor with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

04

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.
1

Try the prompt first

Test the workflow without installing the upstream project.

preview
2

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual
3

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context
4

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify
pip install instructor

Official start command · https://github.com/567-labs/instructor#readme · verified: yes

05

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

instructor Manual

Instructor addresses a common challenge in LLM development: parsing and validating unstructured model outputs into structured data types. Traditional approaches require manual JSON parsing...

Open the full manual
  1. instructor Human Manual
  2. Table of Contents
  3. Introduction to Instructor
  4. Related Pages
  5. Overview
  6. Core Concepts
  7. Response Model Pattern
  8. Automatic Retries
1

Introduction to Instructor

Related topics: Getting Started with Instructor, Installation and Setup

Sources: [README.md](https://github.com/567-labs/instructor/blob/main/README.md)
2

Getting Started with Instructor

Related topics: Installation and Setup, Response Models and Type Safety

Sources: [README.md:1-50]()
3

Installation and Setup

Related topics: Getting Started with Instructor, LLM Provider Support

Sources: [README.md:1-50]()
4

Project Structure

Related topics: Core Components Architecture, LLM Provider Support

Sources: [README.md](https://github.com/567-labs/instructor/blob/main/README.md)
5

Core Components Architecture

Related topics: Project Structure, Validation and Retry Mechanisms

Sources: [examples/batch_api/README.md](https://github.com/567-labs/instructor/blob/main/examples/batch_api/README.md)

06

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

07

Preflight checks

Treat this preview as a planning asset, not proof that your local environment is ready.

08

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.
high

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.