Hai Guardrails
A set of guards for ensuring safety in LLM applications
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Hai Guardrails?
HAI Guardrails provides a framework to implement guardrails and observability features in large language model (LLM) applications, enhancing the safety and reliability of AI systems.
Key differentiator
“HAI Guardrails is uniquely positioned as an open-source tool specifically designed to provide guardrails and observability for LLM applications, focusing on the critical aspect of ensuring safe operation.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development is in JavaScript with a secondary, community-supported TypeScript SDK; no official support for other languages
GitHub repository shows low activity and few contributors; sparse documentation on integrating with popular services
Fit analysis
Who is it for?
✓ Best for
Teams building LLM applications who need robust guardrails to ensure safe operation
Projects requiring enhanced observability features for monitoring AI systems
Developers looking to integrate safety mechanisms into their AI projects
✕ Not a fit for
Projects that do not require or prioritize safety and observability in AI systems
Teams who prefer a fully managed service over self-hosted solutions
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Hai Guardrails
Step-by-step setup guide with code examples and common gotchas.