guardrails_

Adding guardrails to large language models.

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Builder

guardrails-ai

guardrails-ai • individual

Stars

6,604

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Forks

557

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Open Issues

Activity Score

0/100

0 commits in 30d

Created

Jan 29, 2023

Project creation date

README Summary

Guardrails is a Python framework that adds structure, type safety, and quality guarantees to large language model outputs. It provides validators, corrective actions, and monitoring capabilities to ensure LLM responses meet specific requirements and constraints. The framework helps developers build more reliable and predictable AI applications by validating and fixing model outputs in real-time.

AI Dev Skills

Unmapped

Large Language Model IntegrationData ValidationSchema DefinitionOutput ParsingPrompt EngineeringAI SafetyModel Output Reliability

Tags

Large Language Model IntegrationData ValidationSchema DefinitionOutput ParsingPrompt EngineeringAI SafetyModel Output ReliabilitySchema Definition and EnforcementFinTechHealthcareAI Safety and ReliabilityNatural Language Processing Pipeline DesignReliable AI Assistant DevelopmentTextEnterprise LLM Deployment with Compliance ControlsOn-premiseCloud APIProduction AI DeploymentAutomated Content ModerationLegal TechSelf-hostedEnterprise AIReliable AI SystemsStructured LLM OutputsStructured Data Extraction from LLM OutputsLLM Response Validation and Safety FilteringDeveloper ToolsLLM GovernanceOutput Validation and ParsingPython

Taxonomy

Recent Activity

Updated 27 days ago

7 Days

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90 Days

Quality

beta

Quality: medium
Maturity: beta

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Python100.0%

Timeline

Project created: Jan 29, 2023
Forked: Mar 13, 2026
Your last push: 27 days ago
Upstream last push: 10 days ago
Tracked since: Mar 17, 2026

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