Evaluation & Testing

Hai Guardrails

A set of guards for ensuring safety in LLM applications

Status
Generally available
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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

Look elsewhere if

  • Projects that do not require or prioritize safety and observability in AI systems

  • Teams who prefer a fully managed service over self-hosted solutions

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python and TypeScript

    Primary development is in JavaScript with a secondary, community-supported TypeScript SDK; no official support for other languages

  2. 02

    Small community and limited third-party integrations

    GitHub repository shows low activity and few contributors; sparse documentation on integrating with popular services

What it does well

  • Guardrails for LLM applications

  • Enhanced observability features

  • Safety mechanisms for AI systems

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Hai Guardrails

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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