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Instructor

Pydantic validation and automatic retry feedback around structured model extraction.

Overview

Research summary

Instructor is a Python library for requesting structured data from language models with Pydantic models as the application contract. It wraps supported provider clients, validates responses, and retries failed extractions using validation feedback. Developers can work with nested objects and streaming partial results through a consistent interface. Its focus is schema-based extraction rather than running a general agent workflow. The current Python source lives under 567-labs/instructor and is MIT licensed; related implementations in other languages are separate packages.

Repository summary

Stars
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Open issues
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Last push
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Commits, 90 days
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Repository activity
Not scored
Version
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Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for Instructor.

Implementation details

Python schema-driven extraction library and model-provider adapters

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

567-labs/instructor ↗

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06

Documentation

Recorded references and research provenance for this entry.

Recorded sources 4

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

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