npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@ai-test-harness/core

v1.0.0

Published

Core framework for AI quality testing

Readme

@ai-test-harness/core

npm version License: MIT

Core framework for AI quality testing with AWS Bedrock.

Installation

npm install @ai-test-harness/core

Usage

Programmatic API

import { runTests, LLMClientFactory, MockAdapter } from '@ai-test-harness/core';

// Run tests for a project
const result = await runTests({
  projectPath: './my-tests',
  configFile: 'config.yaml',
});

// Use LLM client directly
const client = LLMClientFactory.create({
  provider: 'bedrock',
  region: 'us-east-2',
});

const response = await client.chat({
  model: 'us.anthropic.claude-3-5-sonnet-20240620-v1:0',
  messages: [{ role: 'user', content: 'Hello!' }],
  temperature: 0.7,
  maxTokens: 1000,
});

// Unit testing with mock adapter
const mockClient = new MockAdapter();
mockClient.setDefaultResponse('Test response');

Exports

Test Runners

  • TestRunner - For text-generation tests
  • AgentTestRunner - For agent scenario tests
  • AgentSimulationRunner - For dynamic agent simulation

LLM Components

  • LLMJudge - Evaluates outputs against quality criteria
  • LLMGenerator - Generates text from prompts
  • UserSimulator - Simulates user responses

LLM Client Abstraction

  • ILLMClient - Interface for LLM clients
  • LLMClientFactory - Factory for creating clients
  • BedrockAdapter - AWS Bedrock implementation
  • LiteLLMAdapter - LiteLLM HTTP implementation
  • MockAdapter - Testing mock

Quality Library

  • registerAttribute() - Register custom quality attributes
  • generateAssessmentPrompt() - Generate evaluation prompts
  • buildQualitySchema() - Build Zod schemas for validation

Utilities

  • Logger - Structured logging
  • ConfigLoader - Load YAML configurations
  • retryWithBackoff() - Resilient API calls

Environment Variables

# LLM Provider (default: bedrock)
LLM_PROVIDER=bedrock

# For LiteLLM integration
LITELLM_URL=https://litellm.company.com
LITELLM_API_KEY=sk-xxx

# AWS configuration
AWS_REGION=us-east-2

Documentation

For complete documentation, see the main repository.

Contributing

See CONTRIBUTING.md in the main repository.

License

MIT © AI Test Harness Contributors