Tool

Instructor: structured outputs for LLMs

Jason Liu (567 Labs) · github.com

Validate and auto-retry model outputs against a schema; 6M downloads a month for a reason.

Open on github.com ↗

The question it answers

  1. How do I stop my AI feature from making things up in front of customers?

Read with it

  1. The clearest end-to-end explainer of why hallucinations happen and the layered defences that work. lakera.ai Guide LLM Hallucinations: Understand and Tackle AI's Most Persistent Quirk Lakera
  2. Separates factuality from faithfulness errors and matches each to its fix. getzep.com Article How to Reduce LLM Hallucinations Zep
  3. A prioritized playbook: grounding and abstention first, verification where errors are expensive. futureagi.com Article How to Reduce LLM Hallucinations: 7 Proven Strategies Future AGI
  4. Production-focused checklist including the stat that layered guardrails cut hallucination rates 71-89%. airbyte.com Article 8 Ways to Prevent LLM Hallucinations in Production Airbyte
  5. The Instructor creator on why validation beats vibes for reliability. latent.space Podcast High Agency Pydantic > VC Backed Frameworks, with Jason Liu Latent Space
  6. Schema-guaranteed responses kill an entire category of made-up fields and invalid values. developers.openai.com Guide Structured model outputs (OpenAI docs) OpenAI
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