Match the project to your task before installing it.
Security Review & Permission Governance · Preview
instructor
structured outputs for llms
Check whether this project matches your task before installing it.
What it can doskill, recipe, host_instruction, eval, preflightReview the portable capability path.
Before continuingVerify in a sandboxDo not treat a preview pack as a proven local install.
GitHub snapshot13k stars1.0k forks · 250 contributors
Preview status · 2026-05-16
What is instructor?
- Instructor addresses a common challenge in LLM development: parsing and validating unstructured model outputs into structured data types. Traditional approaches require manual JSON parsing...
- Best fit: Users who want source-backed project understanding before installing it.
- Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
- Evidence base: https://github.com/567-labs/instructor, https://github.com/567-labs/instructor, https://github.com/567-labs/instructor#readme
- Preview pages are noindex until English quality, canonical, and citation gates pass.
- instructor still needs sandbox verification before production use.
01
Quick decision
Use this section to decide whether the project is worth a deeper read.structured outputs for llms
13k stars · 1.0k forks
02
What it can do
Translate the upstream project into concrete capabilities the user can judge before installing.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)
Getting Started with Instructor
Related topics: Installation and Setup, Response Models and Type Safety
Sources: [README.md:1-50]()
Installation and Setup
Related topics: Getting Started with Instructor, LLM Provider Support
Sources: [README.md:1-50]()
Project Structure
Related topics: Core Components Architecture, LLM Provider Support
Sources: [README.md](https://github.com/567-labs/instructor/blob/main/README.md)
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.Community Discussion Evidence
12 source-linked itemsReview 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.
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01
Documentation (at least Google-related) is an outdated mess.
github / github_issue
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02
Tool: NEXUS structured financial data
github / github_issue
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03
Catching IncompleteOutputException : not possible as presently documente
github / github_issue
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04
bump lightllm upper bound for recent vulnerabililties
github / github_issue
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05
reask_anthropic_tools retry fails with HTTP 400 on AWS Bedrock — ToolUse
github / github_issue
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06
logger.debug in response.py leaks api_key verbatim via new_kwargs
github / github_issue
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07
RESPONSES_TOOLS streaming drops reasoning summary events (summary: auto)
github / github_issue
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08
v1.15.1
github / github_release
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09
v1.15.0
github / github_release
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10
v1.14.5
github / github_release
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11
v1.14.4
github / github_release
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12
v1.14.3
github / github_release
04
How to start
Only source-backed commands are shown here. Verify them in an isolated environment first.Try the prompt first
Test the workflow without installing the upstream project.
previewRead the Human Manual
Understand inputs, outputs, limits, and failure modes.
manualTake context to your AI host
Use the compiled assets in your preferred AI environment.
contextRun sandbox verification
Confirm install commands and rollback before using a primary environment.
verifypip install instructorOfficial 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- instructor Human Manual
- Table of Contents
- Introduction to Instructor
- Related Pages
- Overview
- Core Concepts
- Response Model Pattern
- Automatic Retries
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)
Getting Started with Instructor
Related topics: Installation and Setup, Response Models and Type Safety
Sources: [README.md:1-50]()
Installation and Setup
Related topics: Getting Started with Instructor, LLM Provider Support
Sources: [README.md:1-50]()
Project Structure
Related topics: Core Components Architecture, LLM Provider Support
Sources: [README.md](https://github.com/567-labs/instructor/blob/main/README.md)
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.- The manual is generated from source-linked project files and Doramagic validation signals.
- Community evidence warnings stay visible instead of being converted into marketing claims.
- The preview remains noindex until English quality and reciprocal indexing gates are explicitly opened.
- Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.
08
Pitfall Log and verification risks
Doramagic surfaces high-risk items before users treat a candidate capability as verified.Review upstream issue
The source signal needs review before production use.
Review upstream issue
The source signal needs review before production use.
Review upstream issue
The source signal needs review before production use.
Review upstream issue
The source signal needs review before production use.
Review upstream issue
The source signal needs review before production use.
Review upstream issue
The source signal needs review before production use.
Review upstream issue
The source signal needs review before production use.
Review upstream issue
README/documentation is current enough for a first validation pass.