Home/Developer Tools/frai

frai

sebuzdugan/frai

A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK.

GitHub Website

GraphCanon updated Sep 13, 2026 · GitHub synced Sep 13, 2026

50views this month

53 stars4 forksLast push Sep 12, 2026 JavaScript MIT

Decision brief

frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations.

Good fit when

Use when you need to comply with specific safety standards in AI projects using JavaScript framework.
Preferred when integrating automated evaluation processes into your workflow via CLI commands.

Avoid when

Avoid if your development environment strictly requires non-JavaScript languages for tool integration.
Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies.

Observed Jul 16, 2026 · Source: enrich:decision_facts

frai alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 13, 2026
Provenance: Not a fork · Personal account; As of Sep 13, 2026
Security (OSV): No criticals; As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install frai

npm

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

llm-app

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data

59k★

ai-engineering-hub

Tutorials on LLMs, RAGs, and real-world AI agent applications

37k★

promptfoo

Test prompts, agents, and RAGs. Compare performance of various LLMs.

25k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides an open-source framework for auditing AI projects to ensure compliance with safety standards by scanning code, generating documentation on model performance risks, and more.

Capability facts

CLI: CLI entrypoint
Source: package.json:bin|scripts · Sep 13, 2026
MCP server: No MCP server detected
Source: repo_scan · Sep 13, 2026
Languages: javascript, typescript
Source: github.language+package.json · Sep 13, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Sep 13, 2026)

npm install -g frai

Source link

OpenAI APIOpenAI API

Source: README excerpt (regex_v1, Sep 13, 2026)

2. Configure your OpenAI API key (needed for AI-generated tips and evaluations):

Source link

README

Getting Started with the CLI 1. Install the published CLI: 2. Configure your OpenAI API key (needed for AI generated tips and evaluations): Keys can be stored per project ( ) or globally ( ). You can also provide a one off key using . 3. Run the interactive workflow: FRAI walks y...

For agents

This page has a .md twin and JSON over the API.

/tools/sebuzdugan-frai.md GET /api/graphcanon/tools/sebuzdugan-frai GET /api/graphcanon/graph?tool=sebuzdugan-frai