567-labs/instructor
instructor
structured outputs for llms
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567-labs
567-labs • individual
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Created
Jun 14, 2023
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README Summary
Instructor is a Python library that enables structured data extraction from language models using Pydantic models for validation. It provides a simple way to get type-safe, validated responses from LLMs by defining the expected output schema. The library integrates with popular LLM providers and automatically handles parsing and validation of model responses.
AI Dev Skills
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LLM Output ValidationSchema-Driven AI ResponsesType-Safe AI IntegrationPydantic Model DesignAPI Response StructuringLLM Function CallingData Validation PatternsPrompt Engineering
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LLM Output ValidationSchema-Driven AI ResponsesType-Safe AI IntegrationPydantic Model DesignAPI Response StructuringLLM Function CallingData Validation PatternsPrompt EngineeringConfiguration File GenerationOn-premiseDeveloper ToolsTextReliable AI SystemsStructured Data ExtractionCodeHealthcareEntity RecognitionSelf-hostedLegal TechTool-Using AIDatabase Record CreationReport AutomationForm Data GenerationProduction AIServerlessStructured GenerationType-Safe AICloud APIAPI Response ValidationE-commerceFinTechContent ClassificationPython
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Updated 1 months ago
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production- Quality
- high
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- production
Categories
Foundation ModelsPrimaryAI AgentsHealthcare & BiologyFinance & LegalOther AI / MLDev Tools & AutomationIndustry: FinTech
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Languages
Python100.0%
Timeline
- Project created
- Jun 14, 2023
- Forked
- Mar 13, 2026
- Your last push
- 1 months ago
- Upstream last push
- 10 days ago
- Tracked since
- Mar 10, 2026
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